始めましょう

"high low"に関するスクリプトを検索

10 Youtube Opening Range Strategies + Backtest 1. Quick Flip Scalper A strategy centered on fading or following the initial move relative to the Opening Range (OR). LONG Rules: Reversal Mode: If the Opening Range is Bearish (Red), enter Long when price drops below the Opening Range Low (ORL). Continuity Mode: If the Opening Range is Bullish (Green), enter Long when price drops below the Opening Range Low (ORL) (Buying the deep pullback/trap). SHORT Rules: Reversal Mode: If the Opening Range is Bullish (Green), enter Short when price breaks above the Opening Range High (ORH). Continuity Mode: If the Opening Range is Bearish (Red), enter Short when price breaks above the Opening Range High (ORH) (Selling the deep pullback/trap). 2. First Candle Scalper Identical to the Quick Flip Scalper but restricts entries to the very first retest only. LONG Rules: Same as Quick Flip Long, but only triggers once per session. SHORT Rules: Same as Quick Flip Short, but only triggers once per session. 3. Smart Money Trap (SMT) Identifies a "fakeout" breakout followed immediately by a reversal candlestick pattern. LONG Rules: Condition: The previous candle low was below the ORL, but the candle closed back inside (above ORL). Trigger: Must have a Bullish Engulfing or Bullish Rejection pattern closing above the ORL. SHORT Rules: Condition: The previous candle high was above the ORH, but the candle closed back inside (below ORH). Trigger: Must have a Bearish Engulfing or Bearish Rejection pattern closing below the ORH. 4. Trident Pattern (TG Capital) A London-session exclusive strategy requiring a Fair Value Gap (FVG) and a Doji confirmation. LONG Rules: Filter: Price is Above the 200 EMA (if enabled). Setup: A Bullish FVG forms. Confirmation: A Doji candle wicks down into the 50% level of the FVG. Trigger: Enter on the next candle close. SHORT Rules: Filter: Price is Below the 200 EMA (if enabled). Setup: A Bearish FVG forms. Confirmation: A Doji candle wicks up into the 50% level of the FVG. Trigger: Enter on the next candle close. 5. OTE Framework (MBB Trader) Simulates an Optimal Trade Entry by combining a Liquidity Sweep with a Market Structure Shift (SMR). LONG Rules: Sweep: Price drops below the lowest low of the last 20 candles. Structure: A Bullish SMR forms (Low → High → Lower Low → Higher High). SHORT Rules: Sweep: Price breaks above the highest high of the last 20 candles. Structure: A Bearish SMR forms (High → Low → Higher High → Lower Low). 6. Liquidity Trap (Marco Trades) A contrarian strategy that buys/sells purely on sweeps of major structural levels. LONG Rules: Trigger: Price sweeps (drops below) the lowest low of the last 50 candles. SHORT Rules: Trigger: Price sweeps (breaks above) the highest high of the last 50 candles. 7. Trojan Horse (Trader Mayne) Uses Trend EMAs (50 & 200) to identify direction, then enters on a Lower Timeframe Breaker. LONG Rules: Trend: 50 EMA > 200 EMA (Uptrend). Trigger: Price sweeps a recent 10-candle low, then immediately breaks a recent 5-candle high. SHORT Rules: Trend: 50 EMA < 200 EMA (Downtrend). Trigger: Price sweeps a recent 10-candle high, then immediately breaks a recent 5-candle low. 8. Simplified SMT (9:30 Range) Focuses on the 9:30 AM range. Waits for a breakout and a confirmed failure to sustain it. LONG Rules: Context: Price previously broke above the ORH. Trigger: Price returns to the ORH (Retest) with a Bullish Engulfing/Rejection pattern. SHORT Rules: Context: Price previously broke below the ORL. Trigger: Price returns to the ORL (Retest) with a Bearish Engulfing/Rejection pattern. 9. 9:30 One-Candle (Scarface) Uses the high/low of the single 9:30 candle as the range. LONG Rules: Setup: Price closes above the 9:30 High. Trigger: Price pulls back and touches/dips into the 9:30 High (Retest). SHORT Rules: Setup: Price closes below the 9:30 Low. Trigger: Price pulls back and touches/wicks into the 9:30 Low (Retest). 10. London Breakout (Joovier) Based on the 3 AM - 9 AM EST box. LONG Rules: Trigger: A candle's Body (Open and Close) forms completely above the Box High after the session opens. SHORT Rules: Trigger: A candle's Body (Open and Close) forms completely below the Box Low after the session opens. ⚠️ DISCLAIMER & LIMITATION OF LIABILITY 1. NO AFFILIATION / INDEPENDENT PROJECT This script is an independent coding project created solely for testing, research, and entertainment purposes. The creator of this indicator is not associated, affiliated, endorsed by, or in any way connected to the strategy authors or influencers mentioned within the tool (including but not limited to TG Capital, MBB Trader, Marco Trades, Trader Mayne, Scarface, or Joovier). The strategy names are used strictly for identification purposes to credit the original concept creators. This code represents an independent interpretation of public trading concepts. It may not reflect the exact, proprietary, or private methods taught by these individuals. This is not an official product from any of the aforementioned parties. 2. FOR EDUCATIONAL PURPOSES ONLY This indicator is strictly for educational and informational purposes. It is not a signal service and does not constitute investment, financial, or trading advice. The buy/sell labels generated by this script are merely visual representations of specific code logic and should not be interpreted as instructions to execute trades. 3. EXCLUSION OF LIABILITY By using this script, you explicitly agree that: The creator assumes no responsibility or liability for any direct, indirect, consequential, or incidental losses or damages resulting from the use of this tool. You engage in trading entirely at your own risk. You release the creator from any legal responsibility regarding your trading activities or financial results. 4. HYPOTHETICAL PERFORMANCE The statistics displayed on the "Dashboard" (Win Rate, P&L, etc.) are hypothetical and based on historical backtesting data. Past performance is not indicative of future results. These results do not account for slippage, spreads, commission fees, or real-time liquidity issues. Strategies that performed well in the past may fail in current or future market conditions. 5. HIGH-RISK WARNING Trading in financial markets (Stocks, Forex, Crypto, Futures) involves a high degree of risk and is not suitable for all investors. You could lose some or all of your initial investment. You should not trade with money that you cannot afford to lose. IF YOU DO NOT AGREE WITH THESE TERMS, DO NOT USE THIS SCRIPT.
Pine Script® インジケーター
MaxMaseratiの投稿
4
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors. Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes. Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk. INTRODUCTION The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels. 1. VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume. 2. ATR (Average True Range): Measures how much the price typically moves each day. 3. Trend Analysis: Identifies whether the market is going up, down, or sideways. 4. Momentum Indicators: Shows how strong the current price movement is. 5. Support & Resistance: Identifies key price levels where the price might stop or reverse. 6. Swing Points: Finds significant turning points in the price. This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio. The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction. CORE CONCEPT AND METHODOLOGY Volume Weighted Average Price (VWAP) VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred. The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average. In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences. Average True Range (ATR) for Risk Management The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction; instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels. The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions. Swing Detection and Support/Resistance Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels. The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels. Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many swing points to maintain in each array, ensuring that only relevant historical levels are considered. Breakout Detection When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings. The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down. Trend Identification Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA). The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action. Momentum Analysis Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30). This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences. CONFIGURATION PARAMETERS VWAP Settings The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences. ATR Settings The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk. Trade Settings The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades) or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks. Swing Detection Settings The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart. Support & Resistance Settings The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage. Trend & Momentum Settings The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations. Table Settings The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels. SIGNAL GENERATION LOGIC Long Signal Conditions A long signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET). 2. Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation). 3. Price Position: Current price must be above VWAP, indicating bullish price action. 4. Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome. 5. Momentum Alignment: Momentum must be either STRONG BULL or BUILDING. This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement. Short Signal Conditions A short signal is generated when all the following conditions are simultaneously true: 1. Session Filter: The trade must occur during New York session hours 2. Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation) 3. Price Position: Current price must be below VWAP, indicating bearish price action 4. Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome 5. Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups. TRADE MANAGEMENT FRAMEWORK Entry Price Calculation For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'. The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer. Stop-Loss Placement Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'. This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection. Target Price Calculation Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile. New York Session Tracking The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level. INFORMATION TABLES Indicators Table This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level. Trade Levels Table This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals. ALERT CONDITIONS The indicator includes four alert conditions that can be configured in TradingView: 1. LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information. 2. SHORT Signal: Triggers when a short signal is generated with corresponding trade details. 3. Breakout Up: Notifies when price breaks out above resistance level. 4. Breakout Down: Notifies when price breaks down below support level. These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts. USAGE EXAMPLES AND TRADING SCENARIOS Strong Bullish Trend with VWAP Support In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away. Short Setup During Volatile Session During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio. Avoiding Counter-Trend Trades Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern. No Prior Levels Scenario At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form. BEST PRACTICES AND TIPS Timeframe Selection This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live. Market Conditions The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions. Parameter Optimization While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality. Multiple Timeframe Analysis For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction. Risk Management While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded. INTEGRATION WITH TRADINGVIEW Adding the Indicator To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available. Configuring Alerts To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences. Customization All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences. LIMITATIONS AND CONSIDERATIONS Session Dependency The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours. Historical Data Requirements The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified. Lag in Swing Detection By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs. Not Financial Advice This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results. SUMMARY The code follows a logical flow: • Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled • Input Parameters: All user-configurable settings grouped by category • Session Logic: New York session tracking and open price recording • Core Calculations: VWAP, ATR, EMA, RSI, swing points • Support/Resistance Logic: Array-based storage and retrieval of swing levels • Trend and Momentum Classification: Categorization of current market state • Signal Generation: Confluence-based long and short conditions • Trade Level Calculations: Entry, stop-loss, and target pricing • Visual Plots: Hidden plots for alert data access • Information Tables: Real-time display of key values • Alert Conditions: Four configurable alert triggers This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Pine Script® インジケーター
srd786の投稿
NeuraEdge ORB - Opening Range Breakout IndicatorOVERVIEW NeuraEdge ORB is an open-source Opening Range Breakout indicator that automates the classic 15-minute ORB strategy. The indicator tracks the first 15 minutes of market action (9:30-9:45 AM ET), identifies breakouts above or below this range, and generates trading signals with automated stop loss and take profit calculations. The Opening Range Breakout concept is based on the observation that the initial price action after market open often establishes directional bias for the trading session, as institutional order flow and overnight gap reactions manifest during this window. CORE METHODOLOGY Opening Range Construction: The indicator uses session-based time detection to identify the 9:30-9:45 AM Eastern Time window. During this period, it tracks the highest high and lowest low to establish the opening range boundaries. The range is marked complete when the 15-minute window closes. Calculation process: OR High = Maximum high value during the 15-minute window OR Low = Minimum low value during the 15-minute window OR Midpoint = (OR High + OR Low) / 2 Range Size = OR High - OR Low (compared to 14-period ATR for context) Breakout Detection: The indicator identifies breakouts using close-price confirmation to reduce false signals from wicks: Bullish breakout: Close above OR High (with previous close at or below OR High) Bearish breakout: Close below OR Low (with previous close at or above OR Low) The indicator tracks whether each direction has already broken to prevent duplicate signals on the same range. Entry Type Logic: Two entry methodologies are supported: Breakout Mode - Signals immediately upon range break. Enters on the breakout bar when close confirms direction. Retest Mode - Waits for price to break the range, then pullback to touch the range level before entering. Cancels if price moves too far beyond midpoint. This provides better entry prices with tighter stop losses. Volume Confirmation: Optional volume filter compares current bar volume to 20-period simple moving average. Requires volume > 1.2x average to validate breakout strength and filter low-conviction moves. Fair Value Gap (FVG) Integration: Optional confluence filter that checks for unfilled FVG in the breakout direction: Bullish FVG detected when: current bar's low > two bars ago high (creating gap) Bearish FVG detected when: current bar's high < two bars ago low (creating gap) Minimum FVG size: 0.3x ATR to filter noise FVG considered filled when price retraces to gap midpoint Signals only generate when an unfilled FVG exists in the breakout direction, adding institutional order flow confluence. Risk Management Calculations: Three stop loss placement methods: Opposite Side - SL at opposite end of opening range (classic ORB approach) Midpoint - SL at range midpoint (tighter risk, lower reward potential) ATR Based - SL at 1.5x ATR from entry (adaptive to volatility) Take profit calculated as: Entry ± (Entry - Stop Loss) × Risk:Reward Ratio Default 1.5:1 R:R ratio, adjustable from 1.0 to 5.0. Performance Tracking: The indicator maintains a trade history using Pine Script's type system: Records entry price, stop loss, take profit, and direction for each signal Tracks outcome when price hits stop loss or take profit levels Auto-closes after 80 bars if neither level hit Calculates rolling win rate from last 50 trades maximum Displays W/L record in real-time dashboard VISUAL COMPONENTS Opening Range Box: Semi-transparent blue box drawn from range start bar to current bar + 20, showing the established range boundaries visually. Range Levels: Green line at OR High (potential long entry level) Red line at OR Low (potential short entry level) Gray dotted line at OR Midpoint (reference level) All lines extend 50 bars forward for anticipation. Trade Signals: Green up arrow with "LONG ORB Break" label below price Red down arrow with "SHORT ORB Break" label above price Dashed lines showing SL and TP levels extending 30 bars Small labels marking SL and TP endpoints Real-Time Dashboard: Top-right panel displaying: OR formation status (Forming / Complete / Waiting) Current OR High, Low, and Range size (with ATR multiple) Breakout status (Long / Short / None) Volume status (High / Normal) FVG presence (Bull / Bear / None) Entry settings (Breakout/Retest, R:R, SL type) Win rate percentage and W/L record PRACTICAL APPLICATION Ideal Market Conditions: Liquid instruments: SPY, QQQ, IWM, high-volume stocks Recommended timeframes: 1-minute or 5-minute charts for precise entries Most effective during trending days with clear directional bias Range size between 0.5-1.5x ATR typically provides best risk:reward Usage Workflow: Apply indicator at market open (9:30 AM ET) Observe range formation during first 15 minutes Wait for "Complete" status in dashboard Monitor for breakout signals with volume/FVG confirmation Enter on signal, place stop loss and take profit as marked Avoid taking opposing signals on same day (trend following approach) Retest vs Breakout Selection: Use Breakout mode on high-momentum days with strong overnight gaps Use Retest mode on slower days or when seeking better entry prices Retest mode reduces signal frequency but improves entry quality Time-of-Day Considerations: The indicator includes a trading cutoff setting (default 3:00 PM ET) to avoid late-day chop and reduced liquidity. First-hour breakouts (10:00-11:00 AM) historically show strongest follow-through. SETTINGS & CUSTOMIZATION Display Options: Toggle signals, opening range box, and dashboard independently Clean visual design to reduce chart clutter Opening Range Settings: Opening range duration (5-60 minutes in 5-minute increments) Default 15 minutes aligns with classic ORB methodology Trading cutoff hour (10-16, representing 10:00 AM - 4:00 PM ET) Entry Configuration: Entry type (Breakout / Retest) Volume confirmation toggle (requires 1.2x average volume) FVG confluence toggle (requires unfilled gap in breakout direction) Risk Management: Stop loss placement (Opposite Side / Midpoint / ATR Based) Risk:reward ratio (1.0 - 5.0, default 1.5) Future: Trail stop after partial TP (currently placeholder) Alert System: Five alert conditions available: Opening Range Complete ORB Long Signal ORB Short Signal Breakout Up (range broken, regardless of signal) Breakout Down (range broken, regardless of signal) BEST PRACTICES Recommended Usage: Focus on highly liquid instruments with tight spreads Use 1-5 minute charts for entry precision Respect calculated stop losses (range defines maximum risk) Typically 1-2 quality setups per day maximum Consider overall market trend (SPY/QQQ direction) Risk Considerations: Very small ranges (< 0.3x ATR) prone to false breakouts Very large ranges (> 2x ATR) may indicate gap day requiring adjusted expectations Low volume breakouts fail more frequently Avoid trading both directions on same day (pick strongest setup) IMPORTANT DISCLOSURES This indicator is provided free and open-source for educational purposes. The Opening Range Breakout strategy is a well-documented public domain trading concept. This implementation adds automation, visual clarity, and optional confluence filters. No indicator guarantees profitable trades. Past performance does not predict future results. Traders are responsible for their own trading decisions and risk management. Always use appropriate position sizing and never risk more than you can afford to lose.
Pine Script® インジケーター
Darkmatter513の投稿
Intrabar Volume Flow IntelligenceIntrabar Volume Flow Intelligence: A Comprehensive Analysis: The Intrabar Volume Flow Intelligence indicator represents a sophisticated approach to understanding market dynamics through the lens of volume analysis at a granular, intrabar level. This Pine Script version 5 indicator transcends traditional volume analysis by dissecting price action within individual bars to reveal the true nature of buying and selling pressure that often remains hidden when examining only the external characteristics of completed candlesticks. At its core, this indicator operates on the principle that volume is the fuel that drives price movement, and by understanding where volume is being applied within each bar—whether at higher prices indicating buying pressure or at lower prices indicating selling pressure—traders can gain a significant edge in anticipating future price movements before they become obvious to the broader market. The foundational innovation of this indicator lies in its use of lower timeframe data to analyze what happens inside each bar on your chart timeframe. While most traders see only the open, high, low, and close of a five-minute candle, for example, this indicator requests data from a one-minute timeframe by default to see all the individual one-minute candles that comprise that five-minute bar. This intrabar analysis allows the indicator to calculate a weighted intensity score based on where the price closed within each sub-bar's range. If the close is near the high, that volume is attributed more heavily to buying pressure; if near the low, to selling pressure. This methodology is far more nuanced than simple tick volume analysis or even traditional volume delta calculations because it accounts for the actual price behavior and distribution of volume throughout the formation of each bar, providing a three-dimensional view of market participation. The intensity calculation itself demonstrates the coding sophistication embedded in this indicator. For each intrabar segment, the indicator calculates a base intensity using the formula of close minus low divided by the range between high and low. This gives a value between zero and one, where values approaching one indicate closes near the high and values approaching zero indicate closes near the low. However, the indicator doesn't stop there—it applies an open adjustment factor that considers the relationship between the close and open positions within the overall range, adding up to twenty percent additional weighting based on directional movement. This adjustment ensures that strongly directional intrabar movement receives appropriate emphasis in the final volume allocation. The adjusted intensity is then bounded between zero and one to prevent extreme outliers from distorting the analysis, demonstrating careful consideration of edge cases and data integrity. The volume flow calculation multiplies this intensity by the actual volume transacted in each intrabar segment, creating buy volume and sell volume figures that represent not just quantity but quality of market participation. These figures are accumulated across all intrabar segments within the parent bar, and simultaneously, a volume-weighted average price is calculated for the entire bar using the typical price of each segment multiplied by its volume. This intrabar VWAP becomes a critical reference point for understanding whether the overall bar is trading above or below its fair value as determined by actual transaction levels. The deviation from this intrabar VWAP is then used as a weighting mechanism—when the close is significantly above the intrabar VWAP, buying volume receives additional weight; when below, selling volume is emphasized. This creates a feedback loop where volume that moves price away from equilibrium is recognized as more significant than volume that keeps price near balance. The imbalance filter represents another layer of analytical sophistication that separates meaningful volume flows from normal market noise. The indicator calculates the absolute difference between buy and sell volume as a percentage of total volume, and this imbalance must exceed a user-defined threshold—defaulted to twenty-five percent but adjustable from five to eighty percent—before the volume flow is considered significant enough to register on the indicator. This filtering mechanism ensures that only bars with clear directional conviction contribute to the cumulative flow measurements, while bars with balanced buying and selling are essentially ignored. This is crucial because markets spend considerable time in equilibrium states where volume is simply facilitating position exchanges without directional intent. By filtering out these neutral periods, the indicator focuses trader attention exclusively on moments when one side of the market is demonstrating clear dominance. The decay factor implementation showcases advanced state management in Pine Script coding. Rather than allowing imbalanced volume to simply disappear after one bar, the indicator maintains decayed values using variable state that persists across bars. When a new significant imbalance occurs, it replaces the decayed value; when no significant imbalance is present, the previous value is multiplied by the decay factor, which defaults to zero point eight-five. This means that a large volume imbalance continues to influence the indicator for several bars afterward, gradually diminishing in impact unless reinforced by new imbalances. This decay mechanism creates persistence in the flow measurements, acknowledging that large institutional volume accumulation or distribution campaigns don't execute in single bars but rather unfold across multiple bars. The cumulative flow calculation then sums these decayed values over a lookback period, creating a running total that represents sustained directional pressure rather than momentary spikes. The dual moving average crossover system applied to these volume flows creates actionable trading signals from the underlying data. The indicator calculates both a fast exponential moving average and a slower simple moving average of the buy flow, sell flow, and net flow values. The use of EMA for the fast line provides responsiveness to recent changes while the SMA for the slow line provides a more stable baseline, and the divergence or convergence between these averages signals shifts in volume flow momentum. When the buy flow EMA crosses above its SMA while volume is elevated, this indicates that buying pressure is not only present but accelerating, which is the foundation for the strong buy signal generation. The same logic applies inversely for selling pressure, creating a symmetrical approach to detecting both upside and downside momentum shifts based on volume characteristics rather than price characteristics. The volume threshold filtering ensures that signals only generate during periods of statistically significant market participation. The indicator calculates a simple moving average of total volume over a user-defined period, defaulted to twenty bars, and then requires that current volume exceed this average by a multiplier, defaulted to one point two times. This ensures that signals occur during periods when the market is actively engaged rather than during quiet periods when a few large orders can create misleading volume patterns. The indicator even distinguishes between high volume—exceeding the threshold—and very high volume—exceeding one point five times the threshold—with the latter triggering background color changes to alert traders to exceptional participation levels. This tiered volume classification allows traders to calibrate their position sizing and conviction levels based on the strength of market participation supporting the signal. The flow momentum calculation adds a velocity dimension to the volume analysis. By calculating the rate of change of the net flow EMA over a user-defined momentum length—defaulted to five bars—the indicator measures not just the direction of volume flow but the acceleration or deceleration of that flow. A positive and increasing flow momentum indicates that buying pressure is not only dominant but intensifying, which typically precedes significant upward price movements. Conversely, negative and decreasing flow momentum suggests selling pressure is building upon itself, often preceding breakdowns. The indicator even calculates a second derivative—the momentum of momentum, termed flow acceleration—which can identify very early turning points when the rate of change itself begins to shift, providing the most forward-looking signal available from this methodology. The divergence detection system represents one of the most powerful features for identifying potential trend reversals and continuations. The indicator maintains separate tracking of price extremes and flow extremes over a lookback period defaulted to fourteen bars. A bearish divergence is identified when price makes a new high or equals the recent high, but the net flow EMA is significantly below its recent high—specifically less than eighty percent of that high—and is declining compared to its value at the divergence lookback distance. This pattern indicates that while price is pushing higher, the volume support for that movement is deteriorating, which frequently precedes reversals. Bullish divergences work inversely, identifying situations where price makes new lows without corresponding weakness in volume flow, suggesting that selling pressure is exhausted and a reversal higher is probable. These divergence signals are plotted as distinct diamond shapes on the indicator, making them visually prominent for trader attention. The accumulation and distribution zone detection provides a longer-term context for understanding institutional positioning. The indicator uses the bars-since function to track consecutive periods where the net flow EMA has remained positive or negative. When buying pressure has persisted for at least five consecutive bars, average intensity exceeds zero point six indicating strong closes within bar ranges, and volume is elevated above the threshold, the indicator identifies an accumulation zone. These zones suggest that smart money is systematically building long positions across multiple bars despite potentially choppy or sideways price action. Distribution zones are identified through the inverse criteria, revealing periods when institutions are systematically exiting or building short positions. These zones are visualized through colored fills on the indicator pane, creating a backdrop that helps traders understand the broader volume flow context beyond individual bar signals. The signal strength scoring system provides a quantitative measure of conviction for each buy or sell signal. Rather than treating all signals as equal, the indicator assigns point values to different signal components: twenty-five points for the buy flow EMA-SMA crossover, twenty-five points for the net flow EMA-SMA crossover, twenty points for high volume presence, fifteen points for positive flow momentum, and fifteen points for bullish divergence presence. These points are summed to create a buy score that can range from zero to one hundred percent, with higher scores indicating that multiple independent confirmation factors are aligned. The same methodology creates a sell score, and these scores are displayed in the information table, allowing traders to quickly assess whether a signal represents a tentative suggestion or a high-conviction setup. This scoring approach transforms the indicator from a binary signal generator into a nuanced probability assessment tool. The visual presentation of the indicator demonstrates exceptional attention to user experience and information density. The primary display shows the net flow EMA as a thick colored line that transitions between green when above zero and above its SMA, indicating strong buying, to a lighter green when above zero but below the SMA, indicating weakening buying, to red when below zero and below the SMA, indicating strong selling, to a lighter red when below zero but above the SMA, indicating weakening selling. This color gradient provides immediate visual feedback about both direction and momentum of volume flows. The net flow SMA is overlaid in orange as a reference line, and a zero line is drawn to clearly delineate positive from negative territory. Behind these lines, a histogram representation of the raw net flow—scaled down by thirty percent for visibility—shows bar-by-bar flow with color intensity reflecting whether flow is strengthening or weakening compared to the previous bar. This layered visualization allows traders to simultaneously see the raw data, the smoothed trend, and the trend of the trend, accommodating both short-term and longer-term trading perspectives. The cumulative delta line adds a macro perspective by maintaining a running sum of all volume deltas divided by one million for scale, plotted in purple as a separate series. This cumulative measure acts similar to an on-balance volume calculation but with the sophisticated volume attribution methodology of this indicator, creating a long-term sentiment gauge that can reveal whether an asset is under sustained accumulation or distribution across days, weeks, or months. Divergences between this cumulative delta and price can identify major trend exhaustion or reversal points that might not be visible in the shorter-term flow measurements. The signal plotting uses shape-based markers rather than background colors or arrows to maximize clarity while preserving chart space. Strong buy signals—meeting multiple criteria including EMA-SMA crossover, high volume, and positive momentum—appear as full-size green triangle-up shapes at the bottom of the indicator pane. Strong sell signals appear as full-size red triangle-down shapes at the top. Regular buy and sell signals that meet fewer criteria appear as smaller, semi-transparent circles, indicating they warrant attention but lack the full confirmation of strong signals. Divergence-based signals appear as distinct diamond shapes in cyan for bullish divergences and orange for bearish divergences, ensuring these critical reversal indicators are immediately recognizable and don't get confused with momentum-based signals. This multi-tiered signal hierarchy helps traders prioritize their analysis and avoid signal overload. The information table in the top-right corner of the indicator pane provides real-time quantitative feedback on all major calculation components. It displays the current bar's buy volume and sell volume in millions with appropriate color coding, the imbalance percentage with color indicating whether it exceeds the threshold, the average intensity score showing whether closes are generally near highs or lows, the flow momentum value, and the current buy and sell scores. This table transforms the indicator from a purely graphical tool into a quantitative dashboard, allowing discretionary traders to incorporate specific numerical thresholds into their decision frameworks. For example, a trader might require that buy score exceed seventy percent and intensity exceed zero point six-five before taking a long position, creating objective entry criteria from subjective chart reading. The background shading that occurs during very high volume periods provides an ambient alert system that doesn't require focused attention on the indicator pane. When volume spikes to one point five times the threshold and net flow EMA is positive, a very light green background appears across the entire indicator pane; when volume spikes with negative net flow, a light red background appears. These backgrounds create a subliminal awareness of exceptional market participation moments, ensuring traders notice when the market is making important decisions even if they're focused on price action or other indicators at that moment. The alert system built into the indicator allows traders to receive notifications for strong buy signals, strong sell signals, bullish divergences, bearish divergences, and very high volume events. These alerts can be configured in TradingView to send push notifications to mobile devices, emails, or webhook calls to automated trading systems. This functionality transforms the indicator from a passive analysis tool into an active monitoring system that can watch markets continuously and notify the trader only when significant volume flow developments occur. For traders monitoring multiple instruments, this alert capability is invaluable for efficient time allocation, allowing them to analyze other opportunities while being instantly notified when this indicator identifies high-probability setups on their watch list. The coding implementation demonstrates advanced Pine Script techniques including the use of request.security_lower_tf to access intrabar data, array manipulation to process variable-length intrabar arrays, proper variable scoping with var keyword for persistent state management across bars, and efficient conditional logic that prevents unnecessary calculations. The code structure with clearly delineated sections for inputs, calculations, signal generation, plotting, and alerts makes it maintainable and educational for those studying Pine Script development. The use of input groups with custom headers creates an organized settings panel that doesn't overwhelm users with dozens of ungrouped parameters, while still providing substantial customization capability for advanced users who want to optimize the indicator for specific instruments or timeframes. For practical trading application, this indicator excels in several specific use cases. Scalpers and day traders can use the intrabar analysis to identify accumulation or distribution happening within the bars of their entry timeframe, providing early entry signals before momentum indicators or price patterns complete. Swing traders can use the cumulative delta and accumulation-distribution zones to understand whether short-term pullbacks in an uptrend are being bought or sold, helping distinguish between healthy retracements and trend reversals. Position traders can use the divergence detection to identify major turning points where price extremes are not supported by volume, providing low-risk entry points for counter-trend positions or warnings to exit with-trend positions before significant reversals. The indicator is particularly valuable in ranging markets where price-based indicators produce numerous false breakout signals. By requiring that breakouts be accompanied by volume flow imbalances, the indicator filters out failed breakouts driven by low participation. When price breaks a range boundary accompanied by a strong buy or sell signal with high buy or sell score and very high volume, the probability of successful breakout follow-through increases dramatically. Conversely, when price breaks a range but the indicator shows low imbalance, opposing flow direction, or low volume, traders can fade the breakout or at minimum avoid chasing it. During trending markets, the indicator helps traders identify the healthiest entry points by revealing where pullbacks are being accumulated by smart money. A trending market will show the cumulative delta continuing in the trend direction even as price pulls back, and accumulation zones will form during these pullbacks. When price resumes the trend, the indicator will generate strong buy or sell signals with high scores, providing objective entry points with clear invalidation levels. The flow momentum component helps traders stay with trends longer by distinguishing between healthy momentum pauses—where momentum goes to zero but doesn't reverse—and actual momentum reversals where opposing pressure is building. The VWAP deviation weighting adds particular value for traders of liquid instruments like major forex pairs, stock indices, and high-volume stocks where VWAP is widely watched by institutional participants. When price deviates significantly from the intrabar VWAP and volume flows in the direction of that deviation with elevated weighting, it indicates that the move away from fair value is being driven by conviction rather than mechanical order flow. This suggests the deviation will likely extend further, creating continuation trading opportunities. Conversely, when price deviates from intrabar VWAP but volume flow shows reduced intensity or opposing direction despite the weighting, it suggests the deviation will revert to VWAP, creating mean reversion opportunities. The ATR normalization option makes the indicator values comparable across different volatility regimes and different instruments. Without normalization, a one-million share buy-sell imbalance might be significant for a low-volatility stock but trivial for a high-volatility cryptocurrency. By normalizing the delta by ATR, the indicator accounts for the typical price movement capacity of the instrument, making signal thresholds and comparison values meaningful across different trading contexts. This is particularly valuable for traders running the indicator on multiple instruments who want consistent signal quality regardless of the underlying instrument characteristics. The configurable decay factor allows traders to adjust how persistent they want volume flows to remain influential. For very short-term scalping, a lower decay factor like zero point five will cause volume imbalances to dissipate quickly, keeping the indicator focused only on very recent flows. For longer-term position trading, a higher decay factor like zero point nine-five will allow significant volume events to influence the indicator for many bars, revealing longer-term accumulation and distribution patterns. This flexibility makes the single indicator adaptable to trading styles ranging from one-minute scalping to daily chart position trading simply by adjusting the decay parameter and the lookback bars. The minimum imbalance percentage setting provides crucial noise filtering that can be optimized per instrument. Highly liquid instruments with tight spreads might show numerous small imbalances that are meaningless, requiring a higher threshold like thirty-five or forty percent to filter noise effectively. Thinly traded instruments might rarely show extreme imbalances, requiring a lower threshold like fifteen or twenty percent to generate adequate signals. By making this threshold user-configurable with a wide range, the indicator accommodates the full spectrum of market microstructure characteristics across different instruments and timeframes. In conclusion, the Intrabar Volume Flow Intelligence indicator represents a comprehensive volume analysis system that combines intrabar data access, sophisticated volume attribution algorithms, multi-timeframe smoothing, statistical filtering, divergence detection, zone identification, and intelligent signal scoring into a cohesive analytical framework. It provides traders with visibility into market dynamics that are invisible to price-only analysis and even to conventional volume analysis, revealing the true intentions of market participants through their actual transaction behavior within each bar. The indicator's strength lies not in any single feature but in the integration of multiple analytical layers that confirm and validate each other, creating high-probability signal generation that can form the foundation of complete trading systems or provide powerful confirmation for discretionary analysis. For traders willing to invest time in understanding its components and optimizing its parameters for their specific instruments and timeframes, this indicator offers a significant informational advantage in increasingly competitive markets where edge is derived from seeing what others miss and acting on that information before it becomes consensus.
Pine Script® インジケーター
jaydesaiguの投稿
IV Rank & Percentile Suite V1.0What This Indicator Does The IV Rank & Percentile Suite provides the volatility context options traders need to time entries. It calculates two complementary metrics—IV Rank and IV Percentile—using historical volatility as a proxy, then displays clear visual zones to identify favorable conditions for premium selling strategies. Stop guessing if volatility is "high" or "low." This indicator tells you exactly where current volatility sits relative to recent history. The Two Metrics Explained IV Rank (0-100) Measures where current volatility sits within its 52-week high-low range. IV Rank = (Current HV - 52w Low) / (52w High - 52w Low) × 100 70 means current volatility is 70% of the way between the yearly low and high Sensitive to extreme spikes (a single high reading affects the range) IV Percentile (0-100) Measures what percentage of days in the lookback period had lower volatility than today. IV Percentile = (Days with lower HV / Total days) × 100 70 means volatility was lower than today on 70% of days in the past year More stable, less affected by outlier spikes Why Both? IV Rank reacts faster to volatility changes. IV Percentile is more stable and statistically robust. When both agree (e.g., both above 50), you have stronger confirmation. Divergence between them can signal transitional periods. Zone System The indicator divides readings into three zones: Zone ------- Default Range ---- Meaning ------------------ Premium Selling 🟢 High ≥ 50 Elevated volatility Favorable 🟡 Neutral 25-50 Normal volatility Selective 🔴 Low ≤ 25 Compressed volatility Avoid An additional Extreme threshold (default 75) highlights prime conditions when volatility is significantly elevated. Zone thresholds are fully customizable in settings. How to Use It For Premium Sellers (Iron Condors, Credit Spreads, Strangles) Wait for IV Rank to enter the green zone (≥50) Confirm IV Percentile agrees (also elevated) Enter premium selling positions when both metrics align Avoid initiating new positions when in the red zone For Premium Buyers (Long Options, Debit Spreads) Low IV Rank/Percentile means cheaper options Red zone can favor directional debit strategies Avoid buying premium when both metrics are in the green zone General Principle: Sell premium when volatility is high (it tends to revert to mean). Buy premium when volatility is low (if you have a directional thesis). Inputs Volatility Calculation HV Period — Lookback for historical volatility calculation (default: 20) Trading Days/Year — 252 for stocks, 365 for crypto Lookback Periods IV Rank Lookback — Period for high/low range (default: 252 = 1 year) IV Percentile Lookback — Period for percentile calculation (default: 252) Zone Thresholds High IV Zone — Readings above this are highlighted green (default: 50) Low IV Zone — Readings below this are highlighted red (default: 25) Extreme High — Threshold for "prime" conditions alert (default: 75) Display Options Toggle IV Rank, IV Percentile, and raw HV display Show/hide zone backgrounds Show/hide info panel Panel position selection Info Panel The panel displays: Field ------- Description IV Rank ------- Current reading with color coding IV Pctl ------- Current percentile with color coding HV 20d ------- Raw historical volatility percentage 52w Range ------- Lowest to highest HV in lookback period Zone ------- Current zone status Premium ------- Signal quality for premium selling Lookback ------- Days used for calculations R/P Spread ------- Difference between Rank and Percentile Alerts Six alerts are available: Zone Transitions IV Entered High Zone — Favorable for premium selling IV Reached Extreme Levels — Prime conditions IV Dropped to Low Zone — Caution for premium sellers Threshold Crosses IV Rank Crossed Above High Threshold IV Rank Crossed Below Low Threshold IV Percentile Above 75 IV Percentile Below 25 Set up alerts to get notified when conditions change without watching charts. Technical Notes Volatility Calculation Method This indicator uses close-to-close historical volatility as an IV proxy: Calculate log returns: ln(Close / Previous Close) Take standard deviation over HV Period Annualize: multiply by √(Trading Days) This method correlates well with implied volatility for most liquid instruments. On highly liquid options underlyings (SPY, QQQ, major stocks), HV and IV tend to move together, making this a reliable proxy for IV Rank analysis. Non-Repainting All calculations use confirmed bar data. Values are fixed once a bar closes. Lookback Requirement The indicator needs sufficient history to calculate accurately. For a 252-day lookback, ensure your chart has at least 300+ bars of data. Best Used On ETFs: SPY, QQQ, IWM, DIA Indices: SPX, NDX High-volume stocks: AAPL, TSLA, NVDA, AMD, META Timeframe: Daily (recommended), Weekly for longer-term view The indicator works on any instrument but is most meaningful on underlyings with active options markets. Important Notes ⚠️ This indicator uses historical volatility as a proxy for implied volatility. While HV and IV are correlated, they are not identical. For precise IV data, consult your options broker's platform. ⚠️ High IV Rank does not guarantee profitable premium selling. It indicates favorable conditions, not guaranteed outcomes. Position sizing and risk management remain essential. ⚠️ Past volatility patterns do not guarantee future behavior. Volatility regimes can shift, and historical ranges may not predict future ranges. Suggested Workflow Add to daily chart of your preferred underlying Set up alert for "IV Entered High Zone" When alerted, check both IV Rank and IV Percentile If both elevated, evaluate premium selling opportunities Use your broker's actual IV data for final entry decisions Questions? Leave a comment below.
Pine Script® インジケーター
VolForgeの投稿
2
ICT Concepts [Kodexius]ICT Concepts is an all in one, chart overlay toolkit that combines several widely used ICT style components into a single, modular workflow. It is designed to help you map higher timeframe context, track directional structure, and refine execution areas with imbalance and liquidity concepts, without turning the chart into a cluttered drawing board. Instead of plotting everything indefinitely, each module focuses on “live relevance” and chart readability. Zones, lines, and labels are managed with sensible limits so the most recent and most meaningful structures remain visible while older objects are automatically retired. Because the system is modular, you can run it like a complete toolkit: - Use multi timeframe Order Blocks to define high probability zones - Use Market Structure (BOS and MSS) for bias and context - Validate intent with SMT Divergence when you want intermarket confirmation - Refine with Imbalances (FVG, BPR, CE) and Liquidity Sweeps - Add timing structure via Killzones and risk structure via auto Fibonacci 🔹 Features 🔸 Multi Timeframe Order Blocks (3 candle displacement OB) The OB engine detects a strict 3 candle displacement sequence (bull and bear) and projects the “order block candle” as a forward extending zone. Detection can run on the chart timeframe or on a user selected higher timeframe and then be displayed on your execution chart. 🔸 Overlap Control Before adding a new OB, the script checks overlap against existing zones of the same direction. If a new zone intersects an existing one, it is ignored to reduce redundant stacking in the same price area. 🔸 Automatic Extension and Mitigation for Order Blocks OB zones extend forward on every bar and are removed once mitigation is confirmed. Mitigation is evaluated by close breaking decisively beyond the relevant boundary: - Bullish OB mitigates when close prints below the OB bottom - Bearish OB mitigates when close prints above the OB top 🔸 Market Structure (BOS and MSS) Market Structure is built from swing pivots using a configurable pivot length. When price closes through the latest swing, the script prints a structure event: BOS (Break of Structure) for continuation MSS (Market Structure Shift) for a directional change To keep the chart readable, older structure drawings are capped by history limits. 🔸 SMT Divergence with optional mini panel SMT can compare the current instrument with a user selected symbol to highlight divergence at swing points. A divergence is flagged when one market makes a new swing extreme while the other fails to confirm. Optional: a compact right side “compare symbol” candle panel can be enabled so you can visually confirm what the secondary market is doing without leaving the chart. 🔸 Imbalances: FVG, BPR, and CE modes You can choose between three imbalance views depending on your style: FVG mode: Fair Value Gaps are plotted as extending zones CE mode: Consequent Encroachment is visualized using a midpoint line and a half zone fill BPR mode: Balanced Price Range is formed when a new FVG overlaps an opposing FVG, producing a “balanced” region that often behaves differently than a standalone gap 🔸 Automatic extension, limits, and mitigation for imbalances Imbalance objects extend forward until mitigated. Mitigation uses wick based logic: Bullish imbalance mitigates when price wicks below the zone bottom Bearish imbalance mitigates when price wicks above the zone top The script also enforces per side limits and removes older items to keep performance stable. 🔸 Liquidity sweeps (buyside and sellside) The liquidity module tracks swing highs and lows and marks sweep events when price runs the level and then closes back through it, which often behaves like a rejection signal. Sweeps are visualized with a level line plus a small sweep highlight box, with an optional history cap. 🔸 Auto anchored Fibonacci (EQ and OTE focus) Fibonacci levels are automatically anchored using the most recent structure context so you do not need to manually re draw fibs every time the market evolves. EQ and OTE focused bands are plotted to support common premium discount style workflows, with optional extra levels if desired. 🔸 Killzones (session boxes with optional range tracking) Asian, London Open, New York AM, and New York PM killzones can be displayed using UTC-5 session definitions. Session boxes dynamically expand as new highs and lows are formed during the session, and historical zones can be retained up to a user set count. Rendering is restricted to intraday timeframes up to 60 minutes for clean scaling and performance. 🔹 Calculations 1) Order Block detection (3 candle displacement) The OB pattern is defined inside detectLogic() . The zone boundaries always come from candle (the middle candle of the 3 candle sequence). detectLogic() => bool isBull = open > close and close > open and close > open and low < low and close > high bool isBear = open < close and close < open and close < open and high > high and close < low [isBull, high , low , time , isBear, high , low , time ] Interpretation (bullish side): Candle is bearish Candle is bullish (the OB candle) Current candle is bullish and closes above high low undercuts low to form the sweep style condition Bearish logic is the mirrored inverse. 2) Multi timeframe projection and duplicate control If the timeframe input is set, detections are computed on that timeframe and projected onto the current chart using request.security . A last processed time check prevents duplicate prints. = request.security(syminfo.tickerid, i_tf, detectLogic()) var int lastBullTime = 0 var int lastBearTime = 0 if mtf_isBull and mtf_bullTime != lastBullTime lastBullTime := mtf_bullTime if mtf_isBear and mtf_bearTime != lastBearTime lastBearTime := mtf_bearTime 3) OB overlap validation and mitigation Overlap is checked before pushing a new zone, then zones are extended and removed once mitigated by close. method hasOverlap(array OBs, float top, float bottom) => bool overlap = false if OBs.size() > 0 for i = 0 to OBs.size() - 1 OB item = OBs.get(i) if (top < item.top and top > item.bottom) or (bottom > item.bottom and bottom < item.top) overlap := true break overlap method isMitigated(OB this, float currentClose) => this.isBull ? (currentClose < this.bottom) : (currentClose > this.top) 4) Market Structure: pivots, BOS, and MSS Swings are derived from pivots; then BOS/MSS prints when price crosses the latest swing. The script tracks trend state to decide whether the break is continuation (BOS) or shift (MSS). float ph = ta.pivothigh(i_structLen, i_structLen) float pl = ta.pivotlow(i_structLen, i_structLen) bool brokenHigh = ta.crossover(close, lastHigh) bool brokenLow = ta.crossunder(close, lastLow) // drawStructure(..., "BOS", ...) or drawStructure(..., "MSS", ...) depending on trend state 5) SMT Divergence conditions SMT uses pivot highs/lows on both instruments. A bearish SMT prints when the main chart makes a higher high but the compare symbol fails to exceed its prior high. A bullish SMT prints when the main chart makes a lower low but the compare symbol fails to make a lower low. bool bearishSmt = not na(smtAHighPrev) and not na(smtBHighPrev) and (smtAHighLast > smtAHighPrev) and (smtBHighLast <= smtBHighPrev) bool bullishSmt = not na(smtALowPrev) and not na(smtBLowPrev) and (smtALowLast < smtALowPrev) and (smtBLowLast >= smtBLowPrev) 6) FVG detection, BPR construction, and CE level FVGs are detected via a classic 3 bar gap condition. When a new FVG overlaps an opposing FVG, the script builds a BPR using the intersecting region. CE is the midpoint (top + bottom) / 2, plotted as a dashed line plus a half fill box. bool fvgBullDetected = low > high bool fvgBearDetected = high < low // CE float ceLevel = (this.top + this.bottom) / 2 Imbalance mitigation uses wick logic: method isMitigated(FVG this, float currentHigh, float currentLow) => this.isBull ? (currentLow < this.bottom) : (currentHigh > this.top) 7) Liquidity sweep trigger A sweep is confirmed only when price runs the pivot level and closes back through it (reject style). bool sweepBull = i_showLiq and not na(liqLastLow) and not liqLastLowSwept and low < liqLastLow and close > liqLastLow bool sweepBear = i_showLiq and not na(liqLastHigh) and not liqLastHighSwept and high > liqLastHigh and close < liqLastHigh 8) Killzone session mapping Sessions are defined in UTC-5 using time() session strings. string kzTz = "UTC-5" kzInSession(string sess) => not na(time(timeframe.period, sess, kzTz)) bool inAsian = kzInSession("2000-0000") bool inLondon = kzInSession("0200-0500") bool inNY = kzInSession("0830-1100")
Pine Script® インジケーター
UnknownUnicorn113699460の投稿
3
Ultimate MACD [captainua]Ultimate MACD - Comprehensive MACD Trading System Overview This indicator combines traditional MACD calculations with advanced features including divergence detection, volume analysis, histogram analysis tools, regression forecasting, strong top/bottom detection, and multi-timeframe confirmation to provide a comprehensive MACD-based trading system. The script calculates MACD using configurable moving average types (EMA, SMA, RMA, WMA) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes. Core Calculations MACD Calculation: The script calculates MACD using the standard formula: MACD Line = Fast MA - Slow MA, Signal Line = Moving Average of MACD Line, Histogram = MACD Line - Signal Line. The default parameters are Fast=12, Slow=26, Signal=9, matching the traditional MACD settings. The script supports four moving average types: - EMA (Exponential Moving Average): Standard and most responsive, default choice - SMA (Simple Moving Average): Equal weight to all periods - RMA (Wilder's Moving Average): Smoother, less responsive - WMA (Weighted Moving Average): Recent prices weighted more heavily The price source can be configured as Close (standard), Open, High, Low, HL2, HLC3, or OHLC4. Alternative sources provide different sensitivity characteristics for various trading strategies. Configuration Presets: The script includes trading style presets that automatically configure MACD parameters: - Scalping: Fast/Responsive settings (8,18,6 with minimal smoothing) - Day Trading: Balanced settings (10,22,7 with minimal smoothing) - Swing Trading: Standard settings (12,26,9 with moderate smoothing) - Position Trading: Smooth/Conservative settings (15,35,12 with higher smoothing) - Custom: Full manual control over all parameters Histogram Smoothing: The histogram can be smoothed using EMA to reduce noise and filter minor fluctuations. Smoothing length of 1 = raw histogram (no smoothing), higher values (3-5) = smoother histogram. Increased smoothing reduces noise but may delay signals slightly. Percentage Mode: MACD values can be converted to percentage of price (MACD/Close*100) for cross-instrument comparison. This is useful when comparing MACD signals across instruments with different price levels (e.g., BTC vs ETH). The percentage mode normalizes MACD values, making them comparable regardless of instrument price. MACD Scale Factor: A scale factor multiplier (default 1.0) allows adjusting MACD display size for better visibility. Use 0.3-0.5 if MACD appears too compressed, or 2.0-3.0 if too small. Dynamic Overbought/Oversold Levels: Overbought and oversold levels are calculated dynamically based on MACD's mean and standard deviation over a lookback period. The formula: OB = MACD Mean + (StdDev × OB Multiplier), OS = MACD Mean - (StdDev × OS Multiplier). This adapts to current market conditions, widening in volatile markets and narrowing in calm markets. The lookback period (default 20) controls how quickly the levels adapt: longer periods (30-50) = more stable levels, shorter (10-15) = more responsive. OB/OS Background Coloring: Optional background coloring can highlight the entire panel when MACD enters overbought or oversold territory, providing prominent visual indication of extreme conditions. The background colors are drawn on top of the main background to ensure visibility. Divergence Detection Regular Divergence: The script uses the MACD line (not histogram) for divergence detection, which provides more reliable signals. Bullish divergence: Price makes a lower low while MACD line makes a higher low. Bearish divergence: Price makes a higher high while MACD line makes a lower high. Divergences often precede reversals and are powerful reversal signals. Pivot-Based Divergence: The divergence detection uses actual pivot points (pivotlow/pivothigh) instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and MACD line. The pivot-based method compares two recent pivot points: for bullish divergence, price makes a lower low while MACD makes a higher low at the pivot points. This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period. The pivot lookback parameters (left and right) control how many bars on each side of a pivot are required for confirmation. Higher values = more conservative pivot detection. Hidden Divergence: Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low but MACD makes a lower low. Bearish hidden divergence: Price makes a lower high but MACD makes a higher high. These patterns indicate the trend is likely to continue in the current direction. Zero-Line Filter: The "Don't Touch Zero Line" option ensures divergences occur in proper context: for bullish divergence, MACD must stay below zero; for bearish divergence, MACD must stay above zero. This filters out divergences that occur in neutral zones. Range Filtering: Minimum and maximum lookback ranges control the time window between pivots to consider for divergence. This helps filter out divergences that are too close together (noise) or too far apart (less relevant). Volume Confirmation System Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 1.0 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume confirmation significantly increases divergence and signal reliability. Volume Climax and Dry-Up Detection: The script can mark bars with extremely high volume (volume climax) or extremely low volume (volume dry-up). Volume climax indicates potential reversal points or strong momentum continuation. Volume dry-up indicates low participation and may produce unreliable signals. These markers use standard deviation multipliers to identify extreme volume conditions. Zero-Line Cross Detection MACD zero-line crosses indicate momentum shifts: above zero = bullish momentum, below zero = bearish momentum. The script includes alert conditions for zero-line crosses with cooldown protection to prevent alert spam. Zero-line crosses can provide early warning signals before MACD crosses the signal line. Histogram Analysis Tools Histogram Moving Average: A moving average applied to the histogram itself helps identify histogram trend direction and acts as a signal line for histogram movements. Supports EMA, SMA, RMA, and WMA types. Useful for identifying when histogram momentum is strengthening or weakening. Histogram Bollinger Bands: Bollinger Bands are applied to the MACD histogram instead of price. The calculation: Basis = SMA(Histogram, Period), StdDev = stdev(Histogram, Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around the histogram that adapt to histogram volatility. When the histogram touches or exceeds the bands, it indicates extreme conditions relative to recent histogram behavior. Stochastic MACD (StochMACD): Stochastic MACD applies the Stochastic oscillator formula to the MACD histogram instead of price. This normalizes the histogram to a 0-100 scale, making it easier to identify overbought/oversold conditions on the histogram itself. The calculation: %K = ((Histogram - Lowest Histogram) / (Highest Histogram - Lowest Histogram)) × 100. %K is smoothed, and %D is calculated as the moving average of smoothed %K. Standard thresholds are 80 (overbought) and 20 (oversold). Regression Forecasting The script includes advanced regression forecasting that predicts future MACD values using mathematical models. This helps anticipate potential MACD movements and provides forward-looking context for trading decisions. Regression Types: - Linear: Simple trend line (y = mx + b) - fastest, works well for steady trends - Polynomial: Quadratic curve (y = ax² + bx + c) - captures curvature in MACD movement - Exponential Smoothing: Weighted average with more weight on recent values - responsive to recent changes - Moving Average: Uses difference between short and long MA to estimate trend - stable and smooth Forecast Horizon: Number of bars to forecast ahead (default 5, max 50 for linear/MA, max 20 for polynomial due to performance). Longer horizons predict further ahead but may be less accurate. Confidence Bands: Optional upper/lower bands around forecast show prediction uncertainty based on forecast error (standard deviation of prediction vs actual). Wider bands = higher uncertainty. The confidence level multiplier (default 1.5) controls band width. Forecast Display: Forecast appears as dotted lines extending forward from current bar, with optional confidence bands. All forecast values respect percentage mode and scale factor settings. Strong Top/Bottom Signals The script detects strong recovery from extreme MACD levels, generating "sBottom" and "sTop" signals. These identify significant reversal potential when MACD recovers substantially from overbought/oversold extremes. Strong Bottom (sBottom): Triggered when: 1. MACD was at or near its lowest point in the bottom period (default 10 bars) 2. MACD was in or near the oversold zone 3. MACD has recovered by at least the threshold amount (default 0.5) from the lowest point 4. Recovery persists for confirmation bars (default 2 consecutive bars) 5. MACD has moved out of the oversold zone 6. Volume is above average 7. All enabled filters pass 8. Minimum bars have passed since last signal (reset period, default 5 bars) Strong Top (sTop): Triggered when: 1. MACD was at or near its highest point in the top period (default 7 bars) 2. MACD was in or near the overbought zone 3. MACD has declined by at least the threshold amount (default 0.5) from the highest point 4. Decline persists for confirmation bars (default 2 consecutive bars) 5. MACD has moved out of the overbought zone 6. Volume is above average 7. All enabled filters pass 8. Minimum bars have passed since last signal (reset period, default 5 bars) Label Placement: sTop/sBottom labels appear on the historical bar where the actual extreme occurred (not on current bar), showing the exact MACD value at that extreme. Labels respect the unified distance checking system to prevent overlaps with Buy/Sell Strength labels. Signal Strength Calculation The script calculates a composite signal strength score (0-100) based on multiple factors: - MACD distance from signal line (0-50 points): Larger separation indicates stronger signal - Volume confirmation (0-15 points): Volume above average adds points - Secondary timeframe alignment (0-15 points): Higher timeframe agreement adds points - Distance from zero line (0-20 points): Closer to zero can indicate stronger reversal potential Higher scores (70+) indicate stronger, more reliable signals. The signal strength is displayed in the statistics table and can be used as a filter to only accept signals above a threshold. Smart Label Placement System The script includes an advanced label placement system that tracks MACD extremes and places Buy/Sell Strength labels at optimal locations: Label Placement Algorithm: - Labels appear on the current bar at confirmation (not on historical extreme bars), ensuring they're visible when the signal is confirmed - The system tracks pending signals when MACD enters OB/OS zones or crosses the signal line - During tracking, the system continuously searches for the true extreme (lowest MACD for buys, highest MACD for sells) within a configurable historical lookback period - Labels are only finalized when: (1) MACD exits the OB/OS zone, (2) sufficient bars have passed (2x minimum distance), (3) MACD has recovered/declined by a configurable percentage from the extreme (default 15%), and (4) tracking has stopped (no better extreme found) Label Spacing and Overlap Prevention: - Minimum Bars Between Labels: Base distance requirement (default 5 bars) - Label Spacing Multiplier: Scales the base distance (default 1.5x) for better distribution. Higher values = more spacing between labels - Effective distance = Base Distance × Spacing Multiplier (e.g., 5 × 1.5 = 7.5 bars minimum) - Unified distance checking prevents overlaps between all label types (Buy Strength, Sell Strength, sTop, sBottom) Strength-Based Filtering: - Label Strength Minimum (%): Only labels with strength at or above this threshold are displayed (default 75%) - When multiple potential labels are close together, the system automatically compares strengths and keeps only the strongest one - This ensures only the most significant signals are displayed, reducing chart clutter Zero Line Polarity Enforcement: - Enforce Zero Line Polarity (default enabled): Ensures labels follow traditional MACD interpretation - Buy Strength labels only appear when the tracked extreme MACD value was below zero (negative territory) - Sell Strength labels only appear when the tracked extreme MACD value was above zero (positive territory) - This prevents counter-intuitive labels (e.g., Buy labels above zero line) and aligns with standard MACD trading principles Recovery/Decline Confirmation: - Recovery/Decline Confirm (%): Percent move away from the extreme required before finalizing (default 15%) - For Buy labels: MACD must recover by at least this percentage from the tracked bottom - For Sell labels: MACD must decline by at least this percentage from the tracked top - Higher values = more confirmation required, fewer but more reliable labels Historical Lookback: - Historical Lookback for Label Placement: Number of bars to search for true extremes (default 20) - The system searches within this period to find the actual lowest/highest MACD value - Higher values analyze more history but may be slower; lower values are faster but may miss some extremes Cross Quality Score The script calculates a MACD cross quality score (0-100) that rates crossover quality based on: - Cross angle (0-50 points): Steeper crosses = stronger signals - Volume confirmation (0-25 points): Volume above average adds points - Distance from zero line (0-25 points): Crosses near zero line are stronger This score helps identify high-quality crossovers and can be used as a filter to only accept signals meeting minimum quality threshold. Filtering System Histogram Filter: Requires histogram to be above zero for buy signals, below zero for sell signals. Ensures momentum alignment before generating signals. Signal Strength Filter: Requires minimum signal strength score for signals. Higher threshold = only strongest signals pass. This combines multiple confirmation factors into a single filter. Cross Quality Filter: Requires minimum cross quality score for signals. Rates crossover quality based on angle, volume, momentum, and distance from zero. Only signals meeting minimum quality threshold will be generated. All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire. Multi-Timeframe Analysis The script can display MACD from a secondary (higher) timeframe and use it for confirmation. When secondary timeframe confirmation is enabled, signals require the higher timeframe MACD to align (bullish/bearish) with the signal direction. This ensures signals align with the larger trend context, reducing counter-trend trades. Secondary Timeframe MACD: The secondary timeframe MACD uses the same calculation parameters (fast, slow, signal, MA type) as the main MACD but from a higher timeframe. This provides context for the current timeframe's MACD position relative to the larger trend. The secondary MACD lines are displayed on the chart when enabled. Noise Filtering Noise filtering hides small histogram movements below a threshold. This helps focus on significant moves and reduces chart clutter. When enabled, only histogram movements above the threshold are displayed. Typical threshold values are 0.1-0.5 for most instruments, depending on the instrument's price range and volatility. Signal Debounce Signal debounce prevents duplicate MACD cross signals within a short time period. Useful when MACD crosses back and forth quickly, creating multiple signals. Debounce ensures only one signal per period, reducing signal spam during choppy markets. This is separate from alert cooldown, which applies to all alert types. Background Color Modes The script offers three background color modes: - Dynamic: Full MACD heatmap based on OB/OS conditions, confidence, and momentum. Provides rich visual feedback. - Monotone: Soft neutral background but still allows overlays (OB/OS zones). Keeps the chart clean without overpowering candles. - Off: No MACD background (only overlays and plots). Maximum chart cleanliness. When OB/OS background colors are enabled, they are drawn on top of the main background to ensure visibility. Statistics Table A real-time statistics table displays current MACD values, signal strength, distance from zero line, secondary timeframe alignment, volume confirmation status, and all active filter statuses. The table dynamically adjusts to show only enabled features, keeping it clean and relevant. The table position can be configured (Top Left, Top Right, Bottom Left, Bottom Right). Performance Statistics Table An optional performance statistics table shows comprehensive filter diagnostics: - Total buy/sell signals (raw crossover count before filters) - Filtered buy/sell signals (signals that passed all filters) - Overall pass rates (percentage of signals that passed filters) - Rejected signals count - Filter-by-filter rejection diagnostics showing which filters rejected how many signals This table helps optimize filter settings by showing which filters are most restrictive and how they impact signal frequency. The diagnostics format shows rejections as "X B / Y S" (X buy signals rejected, Y sell signals rejected) or "Disabled" if the filter is not active. Alert System The script includes separate alert conditions for each signal type: - MACD Cross: MACD line crosses above/below Signal line (with or without secondary confirmation) - Zero-Line Cross: MACD crosses above/below zero - Divergence: Regular and hidden divergence detections - Secondary Timeframe: Higher timeframe MACD crosses - Histogram MA Cross: Histogram crosses above/below its moving average - Histogram Zero Cross: Histogram crosses above/below zero - StochMACD: StochMACD overbought/oversold entries and %K/%D crosses - Histogram BB: Histogram touches/breaks Bollinger Bands - Volume Events: Volume climax and dry-up detections - OB/OS: MACD entry/exit from overbought/oversold zones - Strong Top/Bottom: sTop and sBottom signal detections Each alert type has its own cooldown system to prevent alert spam. The cooldown requires a minimum number of bars between alerts of the same type, reducing duplicate alerts during volatile periods. Alert types can be filtered to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom). How Components Work Together MACD crossovers provide the primary signal when the MACD line crosses the Signal line. Zero-line crosses indicate momentum shifts and can provide early warning signals. Divergences identify potential reversals before they occur. Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Histogram analysis tools (MA, Bollinger Bands, StochMACD) provide additional context for signal reliability and identify significant histogram zones. Signal strength combines multiple confirmation factors into a single score, making it easy to filter for only the strongest signals. Cross quality score rates crossover quality to identify high-quality setups. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades. Usage Instructions Getting Started: The default configuration shows MACD(12,26,9) with standard EMA calculations. Start with default settings and observe behavior, then customize settings to match your trading style. You can use configuration presets for quick setup based on your trading style. Customizing MACD Parameters: Adjust Fast Length (default 12), Slow Length (default 26), and Signal Length (default 9) based on your trading timeframe. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. You can change the moving average type: EMA for responsiveness, RMA for smoothness, WMA for recent price emphasis. Price Source Selection: Choose Close (standard), or alternative sources (HL2, HLC3, OHLC4) for different sensitivity. HL2 uses the midpoint of the high-low range, HLC3 and OHLC4 incorporate more price information. Histogram Smoothing: Set smoothing to 1 for raw histogram (no smoothing), or increase (3-5) for smoother histogram that reduces noise. Higher smoothing reduces false signals but may delay signals slightly. Percentage Mode: Enable percentage mode when comparing MACD across instruments with different price levels. This normalizes MACD values, making them directly comparable. Dynamic OB/OS Levels: The dynamic thresholds automatically adapt to volatility. Adjust the multipliers (default 1.5) to fine-tune sensitivity: higher values (2.0-3.0) = more extreme thresholds (fewer signals), lower (1.0-1.5) = more frequent signals. Adjust the lookback period to control how quickly levels adapt. Enable OB/OS background colors for visual indication of extreme conditions. Volume Confirmation: Set volume threshold to 1.0 (default, effectively disabled) or higher (1.2-1.5) for standard confirmation. Higher values require more volume for confirmation. Set to 0.1 to completely disable volume filtering. Filters: Enable filters gradually to find your preferred balance. Start with histogram filter for basic momentum alignment, then add signal strength filter (threshold 50+) for moderate signals, then cross quality filter (threshold 50+) for high-quality crossovers. Combine filters for highest-quality signals but expect fewer signals. Divergence: Enable divergence detection and adjust pivot lookback parameters. Pivot-based divergence provides more accurate detection using actual pivot points. Hidden divergence is useful for trend-following strategies. Adjust range parameters to filter divergences by time window. Zero-Line Crosses: Zero-line cross alerts are automatically available when alerts are enabled. These provide early warning signals for momentum shifts. Histogram Analysis Tools: Enable Histogram Moving Average to see histogram trend direction. Enable Histogram Bollinger Bands to identify extreme histogram zones. Enable Stochastic MACD to normalize histogram to 0-100 scale for overbought/oversold identification. Multi-Timeframe: Enable secondary timeframe MACD to see higher timeframe context. Enable secondary confirmation to require higher timeframe alignment for signals. Signal Strength: Signal strength is automatically calculated and displayed in the statistics table. Use signal strength filter to only accept signals above a threshold (e.g., 50 for moderate, 70+ for strong signals only). Smart Label Placement: Configure label placement settings to control label appearance and quality: - Label Strength Minimum (%): Set threshold (default 75%) to show only strong signals. Higher = fewer, stronger labels - Label Spacing Multiplier: Adjust spacing (default 1.5x) for better distribution. Higher = more spacing between labels - Recovery/Decline Confirm (%): Set confirmation requirement (default 15%). Higher = more confirmation, fewer labels - Enforce Zero Line Polarity: Enable (default) to ensure Buy labels only appear when tracked extreme was below zero, Sell labels only when above zero - Historical Lookback: Adjust search period (default 20 bars) for finding true extremes. Higher = more history analyzed Cross Quality: Cross quality score is automatically calculated for crossovers. Use cross quality filter to only accept high-quality crossovers (threshold 50+ for moderate, 70+ for high quality). Alerts: Set up alerts for your preferred signal types. Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom). Each signal type has its own alert condition, so you can be selective about which signals trigger alerts. Visual Elements and Signal Markers The script uses various visual markers to indicate signals and conditions: - MACD Line: Green when above signal (bullish), red when below (bearish) if dynamic colors enabled. Optional black outline for enhanced visibility - Signal Line: Orange line with optional black outline for enhanced visibility - Histogram: Color-coded based on direction and momentum (green for bullish rising, lime for bullish falling, red for bearish falling, orange for bearish rising) - Zero Line: Horizontal reference line at MACD = 0 - Fill to Zero: Green/red semi-transparent fill between MACD line and zero line showing bullish/bearish territory - Fill Between OB/OS: Blue semi-transparent fill between overbought/oversold thresholds highlighting neutral zone - OB/OS Background Colors: Background coloring when MACD enters overbought/oversold zones - Background Colors: Dynamic or monotone backgrounds indicating MACD state, or custom chart background - Divergence Labels: "🐂" for bullish, "🐻" for bearish, "H Bull" for hidden bullish, "H Bear" for hidden bearish - Divergence Lines: Colored lines connecting pivot points when divergences are detected - Volume Climax Markers: ⚡ symbol for extremely high volume - Volume Dry-Up Markers: 💧 symbol for extremely low volume - Buy/Sell Strength Labels: Show signal strength percentage (e.g., "Buy Strength: 75%") - Strong Top/Bottom Labels: "sTop" and "sBottom" for extreme level recoveries - Secondary MACD Lines: Purple lines showing higher timeframe MACD - Histogram MA: Orange line showing histogram moving average - Histogram BB: Blue bands around histogram showing extreme zones - StochMACD Lines: %K and %D lines with overbought/oversold thresholds - Regression Forecast: Dotted blue lines extending forward with optional confidence bands Signal Priority and Interpretation Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups: 1. MACD Cross with Multiple Filters - Highest priority: Requires MACD crossover plus all enabled filters (histogram, signal strength, cross quality) and secondary timeframe confirmation if enabled. These are the most reliable signals. 2. Zero-Line Cross - High priority: Indicates momentum shift. Can provide early warning signals before MACD crosses the signal line. 3. Divergence Signals - Medium-High priority: Pivot-based divergence is more reliable than simple divergence. Hidden divergence indicates continuation rather than reversal. 4. MACD Cross with Basic Filters - Medium priority: MACD crosses signal line with basic histogram filter. Less reliable alone but useful when combined with other confirmations. Best practice: Wait for multiple confirmations. For example, a MACD crossover combined with divergence, volume confirmation, and secondary timeframe alignment provides the strongest setup. Chart Requirements For proper script functionality and compliance with TradingView requirements, ensure your chart displays: - Symbol name: The trading pair or instrument name should be visible - Timeframe: The chart timeframe should be clearly displayed - Script name: "Ultimate MACD " should be visible in the indicator title These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels. Performance Considerations The script is optimized for performance: - Calculations use efficient Pine Script functions (ta.ema, ta.sma, etc.) which are optimized by TradingView - Conditional execution: Features only calculate when enabled - Label management: Old labels are automatically deleted to prevent accumulation - Array management: Divergence label arrays are limited to prevent memory accumulation The script should perform well on all timeframes. On very long historical data with many enabled features, performance may be slightly slower, but it remains usable. Known Limitations and Considerations - Dynamic OB/OS levels can vary significantly based on recent MACD volatility. In very volatile markets, levels may be wider; in calm markets, they may be narrower. - Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable. - Higher timeframe MACD uses request.security() which may have slight delays on some data feeds. - Stochastic MACD requires the histogram to have sufficient history. Very short periods on new charts may produce less reliable StochMACD values initially. - Divergence detection requires sufficient historical data to identify pivot points. Very short lookback periods may produce false positives. Practical Use Cases The indicator can be configured for different trading styles and timeframes: Swing Trading: Use MACD(12,26,9) with secondary timeframe confirmation. Enable divergence detection. Use signal strength filter (threshold 50+) and cross quality filter (threshold 50+) for higher-quality signals. Enable histogram analysis tools for additional context. Day Trading: Use MACD(8,17,7) or use "Day Trading" preset with minimal histogram smoothing for faster signals. Enable zero-line cross alerts for early signals. Use volume confirmation with threshold 1.2-1.5. Enable histogram MA for momentum tracking. Trend Following: Use MACD(12,26,9) or longer periods (15,30,12) for smoother signals. Enable secondary timeframe confirmation for trend alignment. Hidden divergence signals are useful for trend continuation entries. Use cross quality filter to identify high-quality crossovers. Reversal Trading: Focus on divergence detection (pivot-based for accuracy) combined with zero-line crosses. Enable volume confirmation. Use histogram Bollinger Bands to identify extreme histogram zones. Enable StochMACD for overbought/oversold identification. Multi-Timeframe Analysis: Enable secondary timeframe MACD to see context from larger timeframes. For example, use daily MACD on hourly charts to understand the larger trend context. Enable secondary confirmation to require higher timeframe alignment for signals. Practical Tips and Best Practices Getting Started: Start with default settings and observe MACD behavior. The default configuration (MACD 12,26,9 with EMA) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Consider using configuration presets for quick setup. Reducing Repainting: All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy. Signal Quality: MACD crosses with multiple filters provide the highest-quality signals because they require alignment across multiple indicators. These signals have lower frequency but higher reliability. Use signal strength scores to identify the strongest signals (70+). Use cross quality scores to identify high-quality crossovers (70+). Filter Combinations: Start with histogram filter for basic momentum alignment, then add signal strength filter for moderate signals, then cross quality filter for high-quality crossovers. Combining all filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance. Volume Filtering: Set volume threshold to 1.0 (default, effectively disabled) or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold. MACD Period Selection: Standard MACD(12,26,9) provides balanced signals suitable for most trading. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. Adjust based on your timeframe and trading style. Consider using configuration presets for optimized settings. Moving Average Type: EMA provides balanced responsiveness with smoothness. RMA is smoother and less responsive. WMA gives more weight to recent prices. SMA gives equal weight to all periods. Choose based on your preference for responsiveness vs. smoothness. Divergence: Pivot-based divergence is more reliable than simple divergence because it uses actual pivot points. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Adjust pivot lookback parameters to control sensitivity. Dynamic Thresholds: Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the multipliers to fine-tune sensitivity. Enable OB/OS background colors for visual indication. Zero-Line Crosses: Zero-line crosses indicate momentum shifts and can provide early warning signals before MACD crosses the signal line. Enable alerts for zero-line crosses to catch these early signals. Alert Management: Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types. Signal debounce (default enabled, 3 bars) prevents duplicate MACD cross signals during choppy markets. Technical Specifications - Pine Script Version: v6 - Indicator Type: Non-overlay (displays in separate panel below price chart) - Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results - Performance: Optimized with conditional execution. Features only calculate when enabled. - Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.) - Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Alert cooldowns and signal debounce handle edge cases where conditions never occurred or values are NA. Technical Notes - All MACD values respect percentage mode conversion when enabled - Volume confirmation uses cached volume SMA for performance - Label arrays (divergence) are automatically limited to prevent memory accumulation - Background coloring: OB/OS backgrounds are drawn on top of main background to ensure visibility - All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization) - Signal strength calculation combines multiple factors into a single score for easy filtering - Cross quality calculation rates crossover quality based on angle, volume, and distance from zero - Secondary timeframe MACD uses request.security() for higher timeframe data access - Histogram analysis features (Bollinger Bands, MA, StochMACD) provide additional context beyond basic MACD signals - Statistics table dynamically adjusts to show only enabled features, keeping it clean and relevant - Divergence detection uses MACD line (not histogram) for more reliable signals - Configuration presets automatically optimize MACD parameters for different trading styles - Smart label placement: Labels appear on current bar at confirmation, using strength from tracked extreme point - Label spacing uses effective distance (base distance × spacing multiplier) for better distribution - Zero line polarity enforcement ensures Buy labels only appear when tracked extreme MACD < 0, Sell labels only when tracked extreme MACD > 0 - Label finalization requires MACD exit from OB/OS zone, sufficient bars passed, and recovery/decline percentage confirmation - Strength-based filtering automatically compares and keeps only the strongest label when multiple signals are close together - Enhanced visualization: Line outlines drawn behind main lines for superior visibility (black default, configurable) - Enhanced visualization: Fill between MACD and zero line provides instant visual feedback (green above, red below) - Enhanced visualization: Fill between OB/OS thresholds highlights neutral zone when dynamic levels are active - Custom chart background overrides background mode when enabled, allowing theme-consistent indicator panels
Pine Script® インジケーター
captain_uaの投稿
2
IDAHL | QuantEdgeBIDAHL | QuantEdgeB 🔍 Overview The IDAHL indicator builds adaptive, volatility-aware threshold bands from two separate ALMA lines—one smoothed from recent highs, the other from recent lows—then uses percentiles of those lines to define a dynamic “high/low” channel. Price crossing above or below that channel triggers clear long/short signals, with on-chart candle coloring, fills, optional labels and even a built-in backtest table. ✨ Key Features • 📈 Dual ALMA Bands (with DEMA pre-smoothing) o High ALMA: ALMA applied to DEMA-smoothed highs (high → DEMA(30) → ALMA). o Low ALMA: ALMA applied to DEMA-smoothed lows (low → DEMA(30) → ALMA). • 📊 Percentile Thresholds o Computes a high threshold at the Xth percentile of the High ALMA over a lookback window. o Computes a low threshold at the Yth percentile of the Low ALMA. o Shifts each threshold forward by a small period to reduce repainting. • ⚡ Dynamic Channel Logic o When price closes above the high percentile line, the “final” threshold flips down to the low percentile line (and vice versa), creating an adaptive channel that only moves when the outer bound is violated. o Inside the channel, the threshold holds its last value to avoid whipsaw. • 🎨 Visual & Alerts o Plots the two percentile lines and fills between them with a color that reflects the current regime (green for long, yellow for neutral, orange for short). o Colors your candles to match the active signal. o Optional “Long”/“Short” labels on confirmed flips. o Alert conditions fire on each long/short crossover. • 📊 On-Chart Backtest Metrics o Toggle on a small performance table—complete with win-rate, net P/L, drawdown—from your chosen start date, without any extra code. ⚙️ How It Works 1. Adaptive Smoothing (ALMA) o Uses ALMA (Arnaud Legoux Moving Average) for smooth, low-lag filtering. In this script, the inputs are additionally pre-smoothed with DEMA(30) to reduce noise before ALMA is applied—improving stability on highs/lows. 2. Percentile Lines o The High ALMA series feeds a linear-interpolation percentile function to generate the upper bound; the Low ALMA produces the lower bound. o These lines are offset by a small look-ahead (X bars) to reduce repaint behavior. 3. Channel Logic o Breakout Flip: When the selected source (default: Close) closes above the upper bound, the active threshold “jumps” to the lower bound—locking in a new channel until price next crosses. o Breakdown Flip: Conversely, a close below the lower bound flips the threshold to the upper bound. 4. Signal Generation o Long while the source is above the current “final” threshold. o Short while below. o Neutral inside the channel before any flip. 5. Visualization & Alerts o Dynamic fills between the two percentile lines change hue as the regime flips. o Candles adopt the regime color. o Optional pinned “Long”/“Short” labels at flip bars. o Alerts on every signal crossover of the zero-based regime line. 6. Backtest Table o From your chosen start date, a mini-table displays cumulative P/L, win rate and drawdown for this strategy—handy for quick in-chart validation. 🎯 Who Should Use It • Breakout Traders hunting for adaptive channels that auto-recenter on new highs/lows. • Volatility Traders who want thresholds that expand and contract with market turbulence. • Trend-Chasers seeking a fresh take on high/low channels with built-in smoothing. • Systematic Analysts who appreciate on-chart backtesting without leaving TradingView. ⚙️ Default Settings • ALMA Length: 14 • Percentile Length: 35 bars • Percentile Lookback Period (offset): 4 bars • Upper Percentile: 92% • Lower Percentile: 50% • Threshold Source: Close • Visuals: Candle coloring on, labels off by default, “Strategy” palette • Backtest Table: on by default (toggleable) • Start Date (Backtest): 09 Oct 2017 📌 Conclusion IDAHL blends two smooth, low-lag ALMA filters (fed by DEMA-smoothed highs/lows) with percentile-based channel construction for a self-rewiring high/low envelope. It gives you robust breakout/breakdown signals, immediate visual context via colored fills and candles, optional labels, alerts, and even performance stats—everything you need to spot and confirm regime shifts in one compact script. 🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® インジケーター
BaseTrustCapitalの投稿
Quasimodo (QML) Pattern [Kodexius]Quasimodo (QML) Pattern is a market structure indicator that automatically detects Bullish and Bearish Quasimodo formations using confirmed swing pivots, then visualizes the full structure directly on the chart. The script focuses on the classic liquidity-grab narrative of the QML: a sweep beyond a prior swing (the Head) followed by a decisive market structure break (MSB), leaving behind a clearly defined reaction zone between the Left Shoulder and the Head. Detection is built on pivot highs and lows, so patterns are evaluated only after swing points are validated. Once a valid 4 pivot sequence is identified, the indicator draws the pattern legs, highlights the internal triangle area to emphasize the grab, marks the MSB leg, and projects a QML zone that can be used as a potential area of interest for retests. This tool is designed for traders who work with structure, liquidity concepts, and reversal/continuation triggers, and who want a clean, repeatable QML visualization without manually marking swings. 🔹 Features 🔸 Confirmed Pivot Based Structure Mapping The script uses classic built-in pivot logic to detect swing highs and swing lows. 🔸 Automatic Bullish and Bearish QML Detection The indicator evaluates the most recent 4 pivots and checks for a valid alternating sequence (High-Low-High-Low or Low-High-Low-High). When the sequence matches QML requirements, the script classifies the setup as bullish or bearish: Bullish logic (structure reversal up): - Left Shoulder is a pivot Low - Head is a lower Low than the Left Shoulder (liquidity sweep) - MSB pivot exceeds the Reaction pivot Bearish logic (structure reversal down): - Left Shoulder is a pivot High - Head is a higher High than the Left Shoulder (liquidity sweep) - MSB pivot breaks below the Reaction pivot 🔸 Full Pattern Visualization (Legs + Highlighted Core) When a pattern triggers, the script draws: Three main legs: Left Shoulder to Reaction, Reaction to Head, Head to MSB A shaded triangular highlight over the internal structure to make the liquidity-grab shape easy to spot at a glance 🔸 QML Zone Projection A QML Zone box is drawn using the price range defined between the Left Shoulder and the Head, then extended to the right to remain visible as price develops. This zone is intended to act as a practical reference area for potential retests and reaction planning after MSB confirmation. 🔸 MSB Emphasis A dotted MSB line is drawn between the Reaction point and the MSB point to visually emphasize the confirmation leg that completes the pattern logic. 🔸 Clean Point Tagging and Directional Labeling Key points are labeled directly on the chart: - “LS” at the Left Shoulder - “Head” at the sweep pivot - “MSB” at the break pivot A directional label (“Bullish QML” or “Bearish QML”) is also printed to quickly identify the detected bias. 🔸 Configurable Visual Style All main visual components are user configurable: - Bullish and bearish colors - Line width - Label size 🔸 Efficient Update Logic Pattern checks are only performed when a new pivot is confirmed, avoiding unnecessary repeated calculations on every bar. The most recent pattern’s projected elements (zone and label positioning) are updated as new bars print to keep the latest setup readable. 🔹 Calculations This section summarizes the core logic used for detection and plotting. 1. Pivot Detection (Swing Highs and Lows) The script relies on confirmed pivots using the user inputs: Left Bars: how many bars must exist to the left of the pivot Right Bars: how many bars must exist to the right to confirm it float ph = ta.pivothigh(leftLen, rightLen) float pl = ta.pivotlow(leftLen, rightLen) When a pivot is confirmed, its true bar index is the pivot bar, not the current bar, so the script stores: bar_index 2. Pivot Storage and History Window Each pivot is stored as a structured object containing: - price - index - isHigh (true for pivot high, false for pivot low) A rolling history is maintained (up to 50 pivots) to keep processing stable and memory usage controlled. 3. Sequence Validation (Alternation Check) The pattern evaluation always uses the latest 4 pivots: p0: Left Shoulder candidate p1: Reaction candidate p2: Head candidate p3: MSB candidate Before checking bullish/bearish rules, the script enforces alternating pivot types: bool correctSequence = (p0.isHigh != p1.isHigh) and (p1.isHigh != p2.isHigh) and (p2.isHigh != p3.isHigh) This prevents invalid structures like consecutive highs or consecutive lows from being interpreted as QML. 4. Bullish QML Conditions A bullish QML is evaluated when the Left Shoulder is a Low: Head must be lower than Left Shoulder (sweep) MSB must be higher than Reaction (break) if not p0.isHigh if p2.price < p0.price and p3.price > p1.price // Bullish QML confirmed Interpretation: p2 < p0 represents the liquidity grab below the prior swing low p3 > p1 represents the market structure break above the reaction high 5. Bearish QML Conditions A bearish QML is evaluated when the Left Shoulder is a High: Head must be higher than Left Shoulder (sweep) MSB must be lower than Reaction (break) if p0.isHigh if p2.price > p0.price and p3.price < p1.price // Bearish QML confirmed Interpretation: p2 > p0 represents the liquidity grab above the prior swing high p3 < p1 represents the market structure break below the reaction low 6. Drawing Logic (Structure, Highlight, Zone, Labels) When confirmed, the script draws: Three connecting legs (LS to Reaction, Reaction to Head, Head to MSB) A shaded triangle using a transparent “ghost” line to enable filling A dotted MSB emphasis line between Reaction and MSB A QML Zone box spanning the LS to Head price range and projecting to the right Point labels: LS, Head, MSB A direction label: “Bullish QML” or “Bearish QML” 7. Latest Pattern Extension To keep the newest setup readable, the script updates the most recently detected pattern by extending its projected elements as new bars print: QML zone right edge is pushed forward The main label x position is pushed forward This keeps the last identified QML zone visible as price evolves, without having to redraw historical patterns on every bar.
Pine Script® インジケーター
UnknownUnicorn113699460の投稿
Smart Money Concepts [XoRonX]# Smart Money Concepts (SMC) - Advanced Trading Indicator ## 📊 Deskripsi **Smart Money Concepts ** adalah indicator trading komprehensif yang menggabungkan konsep Smart Money Trading dengan berbagai alat teknikal analisis modern. Indicator ini dirancang untuk membantu trader mengidentifikasi pergerakan institusional (smart money), struktur pasar, zona supply/demand, dan berbagai sinyal trading penting. Indicator ini mengintegrasikan multiple timeframe analysis, order blocks detection, fair value gaps, fibonacci retracement, volume profile, RSI multi-timeframe, dan moving averages dalam satu platform yang powerful dan mudah digunakan. --- ## 🎯 Fitur Utama ### 1. **Smart Money Structure** - **Internal Structure** - Struktur pasar jangka pendek untuk entry presisi - **Swing Structure** - Struktur pasar jangka panjang untuk trend analysis - **BOS (Break of Structure)** - Konfirmasi kelanjutan trend - **CHoCH (Change of Character)** - Deteksi potensi reversal ### 2. **Order Blocks** - **Internal Order Blocks** - Zona demand/supply jangka pendek - **Swing Order Blocks** - Zona demand/supply jangka panjang - Filter otomatis berdasarkan volatilitas (ATR/Range) - Mitigation tracking (High/Low atau Close) - Customizable display (jumlah order blocks yang ditampilkan) ### 3. **Equal Highs & Equal Lows (EQH/EQL)** - Deteksi otomatis equal highs/lows - Indikasi liquidity zones - Threshold adjustment untuk sensitivitas - Visual lines dan labels ### 4. **Fair Value Gaps (FVG)** - Multi-timeframe FVG detection - Auto threshold filtering - Bullish & Bearish FVG boxes - Extension control - Color customization ### 5. **Premium & Discount Zones** - Premium Zone (75-100% dari range) - Equilibrium Zone (47.5-52.5% dari range) - Discount Zone (0-25% dari range) - Auto-update berdasarkan swing high/low ### 6. **Fibonacci Retracement** - **Equilibrium to Discount** - Fib dari EQ ke discount zone - **Equilibrium to Premium** - Fib dari EQ ke premium zone - **Discount to Premium** - Fib full range - Reverse option - Show/hide lines - Custom colors ### 7. **Volume Profile (VRVP)** - Visible Range Volume Profile - Point of Control (POC) - Value Area (70% volume) - Auto-adjust rows - Placement options (Left/Right) - Width customization ### 8. **RSI Multi-Timeframe** - Monitor 3 timeframes sekaligus - Overbought/Oversold signals - Visual table display - Color-coded signals (Red OB, Green OS) - Customizable position & size ### 9. **Moving Averages** - 3 Moving Average lines - Pilihan tipe: EMA, SMA, WMA - Automatic/Manual period mode - Individual color & width settings - Cross alerts (MA vs MA, Price vs MA) ### 10. **Multi-Timeframe Levels** - Support up to 5 different timeframes - Previous high/low levels - Custom line styles - Color customization ### 11. **Candle Color** - Color candles berdasarkan trend - Bullish = Green, Bearish = Red - Optional toggle --- ## 🛠️ Cara Penggunaan ### **A. Setup Awal** 1. **Tambahkan Indicator ke Chart** - Buka TradingView - Klik "Indicators" → "My Scripts" atau paste code - Pilih "Smart Money Concepts " 2. **Pilih Mode Display** - **Historical**: Tampilkan semua struktur (untuk backtesting) - **Present**: Hanya tampilkan struktur terbaru (clean chart) 3. **Pilih Style** - **Colored**: Warna berbeda untuk bullish/bearish - **Monochrome**: Tema warna abu-abu --- ### **B. Penggunaan Fitur** #### **1. Smart Money Structure** **Internal Structure (Real-time):** - ✅ Aktifkan "Show Internal Structure" - Pilih tampilan: All, BOS only, atau CHoCH only - Gunakan untuk entry timing presisi - Filter confluence untuk mengurangi noise **Swing Structure:** - ✅ Aktifkan "Show Swing Structure" - Pilih tampilan struktur bullish/bearish - Adjust "Swings Length" (default: 50) - Gunakan untuk konfirmasi trend utama **Tips:** - BOS = Konfirmasi trend continuation - CHoCH = Warning untuk possible reversal - Tunggu price retest ke order block setelah BOS --- #### **2. Order Blocks** **Setup:** - ✅ Aktifkan Internal/Swing Order Blocks - Set jumlah blocks yang ditampil (1-20) - Pilih filter: ATR atau Cumulative Mean Range - Pilih mitigation: Close atau High/Low **Cara Trading:** 1. Tunggu BOS/CHoCH terbentuk 2. Identifikasi order block terdekat 3. Wait for price pullback ke order block 4. Entry saat price respek order block (rejection) 5. Stop loss di bawah/atas order block 6. Target: swing high/low berikutnya **Color Code:** - 🔵 Light Blue = Internal Bullish OB - 🔴 Light Red = Internal Bearish OB - 🔵 Dark Blue = Swing Bullish OB - 🔴 Dark Red = Swing Bearish OB --- #### **3. Equal Highs/Lows (EQH/EQL)** **Setup:** - ✅ Aktifkan "Equal High/Low" - Set "Bars Confirmation" (default: 3) - Adjust threshold (0-0.5, default: 0.1) **Interpretasi:** - EQH = Liquidity di atas, kemungkinan sweep lalu dump - EQL = Liquidity di bawah, kemungkinan sweep lalu pump - Biasanya smart money akan grab liquidity sebelum move besar **Trading Strategy:** - Wait for EQH/EQL formation - Anticipate liquidity grab - Entry setelah sweep dengan konfirmasi (order block, FVG, CHoCH) --- #### **4. Fair Value Gaps (FVG)** **Setup:** - ✅ Aktifkan "Fair Value Gaps" - Pilih timeframe (default: chart timeframe) - Enable/disable auto threshold - Set extension bars **Cara Trading:** 1. Bullish FVG = Support zone untuk buy 2. Bearish FVG = Resistance zone untuk sell 3. Price tends to fill FVG (retest) 4. Entry saat price kembali ke FVG 5. Partial fill = valid, full fill = invalidated **Tips:** - FVG + Order Block = High probability setup - Multi-timeframe FVG lebih kuat - Unfilled FVG = strong momentum --- #### **5. Premium & Discount Zones** **Setup:** - ✅ Aktifkan "Premium/Discount Zones" - Zones akan auto-update berdasarkan swing high/low **Interpretasi:** - 🟢 **Discount Zone** = Area BUY (price murah) - ⚪ **Equilibrium** = Neutral (50%) - 🔴 **Premium Zone** = Area SELL (price mahal) **Trading Strategy:** - BUY dari discount zone - SELL dari premium zone - Avoid trading di equilibrium - Combine dengan structure confirmation --- #### **6. Fibonacci Retracement** **Setup:** - Pilih Fib yang ingin ditampilkan: - Equilibrium to Discount - Equilibrium to Premium - Discount to Premium - Toggle show lines - Enable reverse jika perlu - Custom colors **Key Levels:** - 0.236 = Shallow retracement - 0.382 = Common retracement - 0.5 = 50% golden level - 0.618 = Golden ratio (penting!) - 0.786 = Deep retracement **Cara Pakai:** - 0.618-0.786 = Ideal entry zone dalam trend - Combine dengan order blocks - Wait for confirmation candle --- #### **7. Volume Profile (VRVP)** **Setup:** - ✅ Aktifkan "Show Volume Profile" - Set jumlah rows (10-100) - Adjust width (5-50%) - Pilih placement (Left/Right) - Enable POC dan Value Area **Interpretasi:** - **POC (Point of Control)** = Harga dengan volume tertinggi = magnet - **Value Area** = 70% volume = fair price range - **Low Volume Nodes** = Weak support/resistance - **High Volume Nodes** = Strong support/resistance **Trading:** - POC acts as support/resistance - Price tends to return to POC - Breakout dari Value Area = momentum --- #### **8. RSI Multi-Timeframe** **Setup:** - ✅ Aktifkan "Show RSI Table" - Set 3 timeframes (default: chart, 5m, 15m) - Set RSI period (default: 14) - Set Overbought level (default: 70) - Set Oversold level (default: 30) - Pilih posisi & ukuran table **Interpretasi:** - 🟢 **OS (Oversold)** = RSI ≤ 30 = Kondisi jenuh jual - 🔴 **OB (Overbought)** = RSI ≥ 70 = Kondisi jenuh beli - **-** = Neutral zone **Trading Strategy:** 1. Multi-timeframe alignment = strong signal 2. OS + Bullish structure = BUY signal 3. OB + Bearish structure = SELL signal 4. Divergence RSI vs Price = reversal warning **Contoh:** - TF1: OS, TF2: OS, TF3: OS + Price di discount zone = STRONG BUY --- #### **9. Moving Averages** **Setup:** - Pilih MA Type: EMA, SMA, atau WMA (berlaku untuk ketiga MA) - Pilih Period Mode: Automatic atau Manual - Set period untuk MA 1, 2, 3 (default: 20, 50, 100) - Custom color & width per MA - ✅ Enable Cross Alerts **Interpretasi:** - **Golden Cross** = MA fast cross above MA slow = Bullish - **Death Cross** = MA fast cross below MA slow = Bearish - Price above all MAs = Strong uptrend - Price below all MAs = Strong downtrend **Trading Strategy:** 1. MA1 (20) = Short-term trend 2. MA2 (50) = Medium-term trend 3. MA3 (100) = Long-term trend **Entry Signals:** - Price bounce dari MA dalam trend = continuation - MA cross dengan konfirmasi structure = entry - Multiple MA confluence = strong support/resistance **Alerts Available:** - MA1 cross MA2/MA3 - MA2 cross MA3 - Price cross any MA --- #### **10. Multi-Timeframe Levels** **Setup:** - Enable HTF Level 1-5 - Set timeframes (contoh: 5m, 1H, 4H, D, W) - Pilih line style (solid/dashed/dotted) - Custom colors **Cara Pakai:** - Previous high/low dari HTF = strong S/R - Breakout HTF level = significant move - Multiple HTF levels confluence = major zone --- ### **C. Trading Setup Combination** #### **Setup 1: High Probability Buy (Bullish)** 1. ✅ Swing structure: Bullish BOS 2. ✅ Price di Discount Zone 3. ✅ Pullback ke Bullish Order Block 4. ✅ Bullish FVG di bawah 5. ✅ RSI Multi-TF: Oversold 6. ✅ Price bounce dari MA 7. ✅ POC/Value Area support 8. ✅ Fibonacci 0.618-0.786 retracement **Entry:** Saat price reject dari order block dengan confirmation candle **Stop Loss:** Below order block **Target:** Swing high atau premium zone --- #### **Setup 2: High Probability Sell (Bearish)** 1. ✅ Swing structure: Bearish BOS 2. ✅ Price di Premium Zone 3. ✅ Pullback ke Bearish Order Block 4. ✅ Bearish FVG di atas 5. ✅ RSI Multi-TF: Overbought 6. ✅ Price reject dari MA 7. ✅ POC/Value Area resistance 8. ✅ Fibonacci 0.618-0.786 retracement **Entry:** Saat price reject dari order block dengan confirmation candle **Stop Loss:** Above order block **Target:** Swing low atau discount zone --- #### **Setup 3: Liquidity Grab (EQH/EQL)** 1. ✅ Identifikasi EQH atau EQL 2. ✅ Wait for liquidity sweep 3. ✅ Konfirmasi dengan CHoCH 4. ✅ Order block terbentuk setelah sweep 5. ✅ Entry saat retest order block --- ### **D. Tips & Best Practices** **Risk Management:** - Selalu gunakan stop loss - Risk 1-2% per trade - Risk:Reward minimum 1:2 - Jangan over-leverage **Confluence adalah Kunci:** - Minimal 3-4 konfirmasi sebelum entry - Lebih banyak konfirmasi = higher probability - Quality over quantity **Timeframe Analysis:** - HTF (Higher Timeframe) = Trend direction - LTF (Lower Timeframe) = Entry timing - Align dengan HTF trend **Backtesting:** - Gunakan mode "Historical" - Test strategy di berbagai market condition - Record dan analyze hasil **Market Condition:** - Trending market = Follow BOS, use order blocks - Ranging market = Use premium/discount zones, EQH/EQL - High volatility = Wider stops, wait for clear structure **Avoid:** - Trading di equilibrium zone - Entry tanpa konfirmasi - Fighting the trend - Overleveraging - Emotional trading --- ## 📈 Recommended Settings ### **For Scalping (1m - 5m):** - Internal Structure: ON - Swing Structure: OFF - Order Blocks: Internal only - RSI Timeframes: 1m, 5m, 15m - MA Periods: 9, 21, 50 ### **For Day Trading (15m - 1H):** - Internal Structure: ON - Swing Structure: ON - Order Blocks: Both - RSI Timeframes: 15m, 1H, 4H - MA Periods: 20, 50, 100 ### **For Swing Trading (4H - D):** - Internal Structure: OFF - Swing Structure: ON - Order Blocks: Swing only - RSI Timeframes: 4H, D, W - MA Periods: 20, 50, 200 --- ## ⚠️ Disclaimer Indicator ini adalah alat bantu analisis teknikal. Tidak ada indicator yang 100% akurat. Selalu: - Lakukan analisa fundamental - Gunakan proper risk management - Praktik di demo account terlebih dahulu - Trading memiliki resiko, trade at your own risk --- ## 📝 Version Info **Version:** 5.0 **Platform:** TradingView Pine Script v5 **Author:** XoRonX **Max Labels:** 500 **Max Lines:** 500 **Max Boxes:** 500 --- ## 🔄 Updates & Support Untuk update, bug reports, atau pertanyaan: - Check documentation regularly - Test new features in replay mode - Backup your settings before updates --- ## 🎓 Learning Resources **Recommended Study:** 1. Smart Money Concepts (SMC) basics 2. Order blocks theory 3. Liquidity concepts 4. ICT (Inner Circle Trader) concepts 5. Volume profile analysis 6. Multi-timeframe analysis **Practice:** - Start with higher timeframes - Master one concept at a time - Keep a trading journal - Review your trades weekly --- **Happy Trading! 🚀📊** _Remember: The best indicator is your own analysis and discipline._
Pine Script® インジケーター
groupyprooの投稿
Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Pine Script® インジケーター
Sesilyaの投稿
SevenDayHighLowTableWithBoxes [CHE]SevenDayHighLowTableWithBoxes — Seven-day day-range boxes with a weekday-aware “ghost” projection and a compact table that tracks recent extremes and per-weekday hit rates. Summary This indicator visualizes each trading day as a colored box and annotates the final high and low with compact markers. It maintains a rolling seven-day view and a five-column table showing day name, high, low, range, and a per-weekday projection hit statistic. A dashed “ghost” box projects a typical range for the current weekday using a running average and an adjustable scaling factor. The script is written in Pine v6, runs on the main chart (overlay true), and emphasizes stable object handling and closed-bar finalization at day boundaries. Motivation: Why this design? Intraday traders often need fast context for where today’s price sits relative to recent daily extremes, without switching timeframes. A simple daily high/low overlay is informative but lacks structure, sizing context, and continuity. By grouping bars into local days (configurable UTC offset), drawing explicit boxes, and projecting a weekday-typical range, the chart becomes easier to scan. The compact table gives a quick audit trail of the latest seven days while tracking how often the weekday projection would have covered the realized range. What’s different vs. standard approaches? Reference baseline: Plain daily high/low lines or session boxes without context. Architecture differences: Weekday-tinted boxes and labels for today plus up to six prior days. Weekday average range drives a dashed projection (“ghost”) sized by a user-defined percentage. Per-weekday hit statistics recorded as hits over totals and displayed in the table. ATR-based vertical offsets keep labels readable. Live updates intraday; state is finalized at the local day switch. Practical effect: The chart shows where current price sits inside a known daily envelope, plus how “typical” the day’s movement is for this weekday, aiding expectations and planning. How it works (technical) The script computes a local daily timestamp using the user’s UTC offset. A day change finalizes the prior day, writes its high, low, start and end indices, and records the bar indices of the terminal high and low. For each weekday, it maintains a running average of realized ranges with a cap on the lookback count. The ghost projection length is the weekday average scaled by the user’s percentage setting. Anchor selection for the ghost uses the most recent extreme and the close relative to the intraday midpoint to choose a low-anchored or high-anchored box. A five-column table (Day, High, Low, Range, Ghost OK) is refreshed on the last bar. The “Ghost OK” column shows per-weekday cumulative hits over totals with a percentage, calculated before including the just-finished day. Object counts are bounded to seven days by pruning arrays and deleting old boxes and labels. Visual updates for historical objects occur on the last bar to minimize overhead. No `security()` calls are used. Parameter Guide UTC (+/−) — Controls local day boundaries — Default: minus five hours — Set to your venue’s local time. Session (for Time gate) — Session string — Default: full week — (Optional) computed internally; not applied to gating. Show 7-Day High/Low Table — Toggles the table — Default: true — Disable to reduce UI load. Show Day Boxes in Chart — Toggles day boxes — Default: true — Disable for a cleaner chart. Table Position — Nine-point anchor — Default: Middle Right — Move to avoid overlap. Table Background / Text Color / Min Cell Width — Styling controls — Defaults: gray background, white text, width twelve characters. Weekday Colors (Sun…Sat) — Row and box tints — Defaults: semi-transparent hues — Adjust for your theme. Triangle Transparency — Marker opacity — Default: zero — Increase to fade high/low dots. Day Label Transparency — Day name opacity — Default: zero — Increase to reduce emphasis. Box Border Width — Box stroke width — Default: one — Increase for stronger edges. Extend Boxes Right — Extend current box — Default: false — Useful for forward planning. Show Average Range Ghost Box — Dashed projection — Default: true — Disable if distracting. Ghost Border Color / Width — Ghost styling — Defaults: gray, width one. Ghost Length percent of AvgRange — Projection scale — Default: one hundred; bounds zero to five hundred — Lower to be conservative. Max History Days for Average — Cap per-weekday averaging — Default: two hundred fifty-two; bounds thirty to five hundred. ATR Length / Day Label ATR Multiplier / Triangle Up ATR Multiplier / Triangle Down ATR Multiplier — Offsets for label placement — Defaults: length one hundred; multipliers zero — Increase on dense instruments to prevent overlap. Reading & Interpretation Day boxes: The filled rectangle marks each day’s full high-low span; color encodes the weekday. Markers: Small dots near the terminal high and low highlight where the final extremes occurred. Ghost box: A dashed box sized by the weekday average range, anchored based on recent behavior. It is a typical span, not a target. Table: Row one shows “Today”. Rows below list up to six prior days. “Ghost OK” shows per-weekday cumulative hits over totals with a percentage, which reflects historical coverage quality for that weekday. Practical Workflows & Combinations Trend following: Use the current box plus recent boxes to read expansion or compression days; combine with basic structure such as higher-highs and higher-lows or lower-lows and lower-highs for confirmation. Exits and risk: When price nears the ghost boundary late in the session, consider managing exposure more conservatively. Multi-asset and multi-timeframe: Works on minute charts. As a starting point, use five to less than sixty minutes. For cross-checks, pair with a higher timeframe bias filter. Behavior, Constraints & Performance Repaint/confirmation: The indicator updates intraday; extremes and ghost position can move while the day is open. Values are finalized on the next local day start. HTF/security: None used; repaint risk is limited to live-bar movement. Resources: `max_bars_back` five thousand; arrays are pruned to seven days; the table and color sync run on the last bar; the live ghost updates only in real time. Known limits: Weekday averages can be unrepresentative during regime shifts, events, or gaps. Day boundaries depend on the UTC offset being set correctly. No alerts are included. The script displays warning labels when the timeframe is below five minutes or at sixty minutes and above. Sensible Defaults & Quick Tuning Start with the defaults. Ghost too aggressive: Lower the percent scale. Labels overlap: Increase ATR multipliers. Clutter or performance issues: Hide the table or boxes, or disable the ghost. Day boundary misaligned: Adjust the UTC offset to your market. What this indicator is—and isn’t This is a visualization and context layer for daily extremes and a weekday-based typical span. It does not predict direction, does not manage orders, and is not a complete trading system. Use it alongside market structure, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® インジケーター
chervolinoの投稿
Smart MACD Volume Trader# Smart MACD Volume Trader ## Overview Smart MACD Volume Trader is an enhanced momentum indicator that combines the classic MACD (Moving Average Convergence Divergence) oscillator with an intelligent high-volume filter. This combination significantly reduces false signals by ensuring that trading signals are only generated when price momentum is confirmed by substantial volume activity. The indicator supports over 24 different instruments including major and exotic forex pairs, precious metals (gold and silver), energy commodities (crude oil, natural gas), and industrial metals (copper). For forex and commodity traders, the indicator automatically maps to CME and COMEX futures contracts to provide accurate institutional-grade volume data. ## Originality and Core Concept Traditional MACD indicators generate signals based solely on price momentum, which can result in numerous false signals during low-activity periods or ranging markets. This indicator addresses this critical weakness by introducing a volume confirmation layer with automatic institutional volume integration. **What makes this approach original:** - Signals are triggered only when MACD crossovers coincide with elevated volume activity - Implements a lookback mechanism to detect volume spikes within recent bars - Automatically detects and maps 24+ forex pairs and commodities to their corresponding CME and COMEX futures contracts - Provides real institutional volume data for forex pairs where spot volume is unreliable - Combines two independent market dimensions (price momentum and volume) into a single, actionable signal - Includes intelligent asset detection that works across multiple exchanges and ticker formats **The underlying principle:** Volume validates price movement. When institutional money enters the market, it creates volume signatures. By requiring high volume confirmation and using actual institutional volume data from futures markets, this indicator filters out weak price movements and focuses on trades backed by genuine market participation. The automatic futures mapping ensures that forex and commodity traders always have access to the most accurate volume data available, without manual configuration. ## How It Works ### MACD Component The indicator calculates MACD using standard methodology: 1. **Fast EMA (default: 12 periods)** - Tracks short-term price momentum 2. **Slow EMA (default: 26 periods)** - Tracks longer-term price momentum 3. **MACD Line** - Difference between Fast EMA and Slow EMA 4. **Signal Line (default: 9-period SMA)** - Smoothed average of MACD line **Crossover signals:** - **Bullish:** MACD line crosses above Signal line (momentum turning positive) - **Bearish:** MACD line crosses below Signal line (momentum turning negative) ### Volume Filter Component The volume filter adds an essential confirmation layer: 1. **Volume Moving Average** - Calculates exponential MA of volume (default: 20 periods) 2. **High Volume Threshold** - Multiplies MA by ratio (default: 2.0x or 200%) 3. **Volume Detection** - Identifies bars where current volume exceeds threshold 4. **Lookback Period** - Checks if high volume occurred in recent bars (default: 5 bars) **Signal logic:** - Buy/Sell signals only trigger when BOTH conditions are met: - MACD crossover/crossunder occurs - High volume detected within lookback period ### Automatic CME Futures Integration For forex traders, spot FX volume data can be unreliable or non-existent. This indicator solves this problem by automatically detecting forex pairs and mapping them to corresponding CME futures contracts with real institutional volume data. **Supported Major Forex Pairs (7):** - EURUSD → CME:6E1! (Euro FX Futures) - GBPUSD → CME:6B1! (British Pound Futures) - AUDUSD → CME:6A1! (Australian Dollar Futures) - USDJPY → CME:6J1! (Japanese Yen Futures) - USDCAD → CME:6C1! (Canadian Dollar Futures) - USDCHF → CME:6S1! (Swiss Franc Futures) - NZDUSD → CME:6N1! (New Zealand Dollar Futures) **Supported Exotic Forex Pairs (4):** - USDMXN → CME:6M1! (Mexican Peso Futures) - USDRUB → CME:6R1! (Russian Ruble Futures) - USDBRL → CME:6L1! (Brazilian Real Futures) - USDZAR → CME:6Z1! (South African Rand Futures) **Supported Cross Pairs (6):** - EURJPY → CME:6E1! (Uses Euro Futures) - GBPJPY → CME:6B1! (Uses British Pound Futures) - EURGBP → CME:6E1! (Uses Euro Futures) - AUDJPY → CME:6A1! (Uses Australian Dollar Futures) - EURAUD → CME:6E1! (Uses Euro Futures) - GBPAUD → CME:6B1! (Uses British Pound Futures) **Supported Precious Metals (2):** - Gold (XAUUSD, GOLD) → COMEX:GC1! (Gold Futures) - Silver (XAGUSD, SILVER) → COMEX:SI1! (Silver Futures) **Supported Energy Commodities (3):** - WTI Crude Oil (USOIL, WTIUSD) → NYMEX:CL1! (Crude Oil Futures) - Brent Oil (UKOIL) → NYMEX:BZ1! (Brent Crude Futures) - Natural Gas (NATGAS) → NYMEX:NG1! (Natural Gas Futures) **Supported Industrial Metals (1):** - Copper (COPPER) → COMEX:HG1! (Copper Futures) **How the automatic detection works:** The indicator intelligently identifies the asset type by analyzing: 1. Exchange name (FX, OANDA, TVC, COMEX, NYMEX, etc.) 2. Currency pair pattern (6-letter codes like EURUSD, GBPUSD) 3. Commodity identifiers (XAU for gold, XAG for silver, OIL for crude) When a supported instrument is detected, the indicator automatically switches to the corresponding futures contract for volume analysis. For stocks, cryptocurrencies, and other assets, the indicator uses the native volume data from the current chart. **Visual feedback:** An information table appears in the top-right corner of the MACD pane showing: - Current chart symbol - Exchange name - Currency pair or asset name - Volume source being used (highlighted in orange for futures, yellow for native volume) - Current high volume status This provides complete transparency about which data source the indicator is using for its volume analysis. ## How to Use ### Basic Setup 1. Add the indicator to your chart 2. The indicator displays in a separate pane (MACD) and overlay (signals/volume bars) 3. Default settings work well for most assets, but can be customized ### Signal Interpretation ### Visual Signals **Visual Signals:** - **Green "BUY" label** - Bullish MACD crossover confirmed by high volume - **Red "SELL" label** - Bearish MACD crossunder confirmed by high volume - **Green/Red candles** - Highlight bars with volume exceeding the threshold - **Light green/red background** - Emphasizes signal bars on the chart **Information Table:** A detailed information table appears in the top-right corner of the MACD pane, providing real-time transparency about the indicator's operation: - **Chart:** Current symbol being analyzed - **Exchange:** The exchange or data feed being used - **Pair:** The currency pair or asset name extracted from the ticker - **Volume From:** The actual symbol used for volume analysis - Orange color indicates CME or COMEX futures are being used (automatic institutional volume) - Yellow color indicates native volume from the chart symbol is being used - Hover tooltip shows whether automatic futures mapping is active - **High Volume:** Current status showing YES (green) when volume exceeds threshold, NO (gray) otherwise This table ensures complete transparency and allows you to verify that the correct volume source is being used for your analysis. **Volume Analysis:** - Gray histogram bars = Normal volume - Red histogram bars = High volume (exceeds threshold) - Green line = Volume moving average baseline **MACD Analysis:** - Blue line = MACD line (momentum indicator) - Orange line = Signal line (trend confirmation) - Gray dotted line = Zero line (bullish above, bearish below) ### Parameter Customization **MACD Parameters:** - Adjust Fast/Slow EMA lengths for different sensitivities - Shorter periods = More signals, faster response - Longer periods = Fewer signals, less noise **Volume Parameters:** - **Volume MA Period:** Higher values smooth volume analysis - **High Volume Ratio:** Lower values (1.5x) = More signals; Higher values (3.0x) = Fewer, stronger signals - **Volume Lookback Bars:** Controls how recent the volume spike must be **Direction Filters:** - **Only Buy Signals:** Enables long-only strategy mode - **Only Sell Signals:** Enables short-only strategy mode ### Alert Configuration The indicator includes three alert types: 1. **Buy Signal Alert** - Triggers when bullish signal appears 2. **Sell Signal Alert** - Triggers when bearish signal appears 3. **High Volume Alert** - Triggers when volume exceeds threshold To set up alerts: 1. Click the indicator name → "Add alert on Smart MACD Volume Trader" 2. Select desired alert condition 3. Configure notification method (popup, email, webhook, etc.) ## Trading Strategy Guidelines ### Best Practices **Recommended markets:** - Liquid stocks (large-cap, high daily volume) - Major forex pairs (EURUSD, GBPUSD, USDJPY, AUDUSD, USDCAD, USDCHF, NZDUSD) - Exotic forex pairs (USDMXN, USDRUB, USDBRL, USDZAR) - Cross pairs (EURJPY, GBPJPY, EURGBP, AUDJPY, EURAUD, GBPAUD) - Precious metals (Gold, Silver with automatic COMEX futures mapping) - Energy commodities (Crude Oil, Natural Gas with automatic NYMEX futures mapping) - Industrial metals (Copper with automatic COMEX futures mapping) - Major cryptocurrency pairs - Index futures and ETFs **Timeframe recommendations:** - **Day trading:** 5-minute to 15-minute charts - **Swing trading:** 1-hour to 4-hour charts - **Position trading:** Daily charts **Risk management:** - Use signals as entry confirmation, not standalone strategy - Combine with support/resistance levels - Consider overall market trend direction - Always use stop-loss orders ### Strategy Examples **Trend Following Strategy:** 1. Identify overall trend using higher timeframe (e.g., daily chart) 2. Trade only in trend direction 3. Use "Only Buy" filter in uptrends, "Only Sell" in downtrends 4. Enter on signal, exit on opposite signal or at resistance/support **Volume Breakout Strategy:** 1. Wait for consolidation period (low volume, tight MACD range) 2. Enter when signal appears with high volume (confirms breakout) 3. Target previous swing highs/lows 4. Stop loss below/above recent consolidation **Forex Scalping Strategy (with automatic CME futures):** 1. The indicator automatically detects forex pairs and uses CME futures volume 2. Trade during active sessions only (use session filter) 3. Focus on quick profits (10-20 pips) 4. Exit at opposite signal or profit target **Commodities Trading Strategy (Gold, Silver, Oil):** 1. The indicator automatically maps to COMEX and NYMEX futures contracts 2. Trade during high-liquidity sessions (overlap of major markets) 3. Use the high volume confirmation to identify institutional entry points 4. Combine with key support and resistance levels for entries 5. Monitor the information table to confirm futures volume is being used (orange color) 6. Exit on opposite MACD signal or at predefined profit targets ## Why This Combination Works ### The Volume Advantage Studies consistently show that price movements accompanied by high volume are more likely to continue, while low-volume movements often reverse. This indicator leverages this principle by requiring volume confirmation. **Key benefits:** 1. **Reduced False Signals:** Eliminates MACD whipsaws during low-volume consolidation 2. **Confirmation Bias:** Two independent indicators (price momentum + volume) agreeing 3. **Institutional Alignment:** High volume often indicates institutional participation 4. **Trend Validation:** Volume confirms that price momentum has "conviction" ### Statistical Edge By combining two uncorrelated signals (MACD crossovers and volume spikes), the indicator creates a higher-probability setup than either signal alone. The lookback mechanism ensures signals aren't missed if volume spike slightly precedes the MACD cross. ## Supported Exchanges and Automatic Detection The indicator includes intelligent asset detection that works across multiple exchanges and ticker formats: **Forex Exchanges (Automatic CME Mapping):** - FX (TradingView forex feed) - OANDA - FXCM - SAXO - FOREXCOM - PEPPERSTONE - EASYMARKETS - FX_IDC **Commodity Exchanges (Automatic COMEX/NYMEX Mapping):** - TVC (TradingView commodity feed) - COMEX (directly) - NYMEX (directly) - ICEUS **Other Asset Classes (Native Volume):** - Stock exchanges (NASDAQ, NYSE, AMEX, etc.) - Cryptocurrency exchanges (BINANCE, COINBASE, KRAKEN, etc.) - Index providers (SP, DJ, etc.) The detection algorithm analyzes three factors: 1. Exchange prefix in the ticker symbol 2. Pattern matching for currency pairs (6-letter codes) 3. Commodity identifiers in the symbol name This ensures accurate automatic detection regardless of which data feed or exchange you use for charting. The information table in the top-right corner always displays which volume source is being used, providing complete transparency. ## Technical Details **Calculations:** - MACD Fast MA: EMA(close, fastLength) - MACD Slow MA: EMA(close, slowLength) - MACD Line: Fast MA - Slow MA - Signal Line: SMA(MACD Line, signalLength) - Volume MA: Exponential MA of volume - High Volume: Current volume >= Volume MA × Ratio **Signal logic:** ``` Buy Signal = (MACD crosses above Signal) AND (High volume in last N bars) Sell Signal = (MACD crosses below Signal) AND (High volume in last N bars) ``` ## Parameters Reference | Parameter | Default | Description | |-----------|---------|-------------| | Volume Symbol | Blank | Manual override for volume source (leave blank for automatic detection) | | Use CME Futures | False | Legacy option (automatic detection is now built-in) | | Alert Session | 1530-2200 | Active session time range for alerts | | Timezone | UTC+1 | Timezone for alert sessions | | Volume MA Period | 20 | Number of periods for volume moving average | | High Volume Ratio | 2.0 | Volume threshold multiplier (2.0 = 200% of average) | | Volume Lookback | 5 | Number of bars to check for high volume confirmation | | MACD Fast Length | 12 | Fast EMA period for MACD calculation | | MACD Slow Length | 26 | Slow EMA period for MACD calculation | | MACD Signal Length | 9 | Signal line SMA period | | Only Buy | False | Filter to show only bullish signals | | Only Sell | False | Filter to show only bearish signals | | Show Signals | True | Display buy and sell labels on chart | ## Optimization Tips **For volatile markets (crypto, small caps):** - Increase High Volume Ratio to 2.5-3.0 - Reduce Volume Lookback to 3-4 bars - Consider faster MACD settings (8, 17, 9) **For stable markets (large-cap stocks, bonds):** - Decrease High Volume Ratio to 1.5-1.8 - Increase Volume MA Period to 30-50 - Use standard MACD settings **For forex (with automatic CME futures):** - The indicator automatically uses CME futures when forex pairs are detected - Set appropriate trading session based on your timezone - Use Volume Lookback of 5-7 bars - Consider session-based alerts only - Monitor the information table to verify correct futures mapping **For commodities (Gold, Silver, Oil, Copper):** - The indicator automatically maps to COMEX and NYMEX futures - Increase High Volume Ratio to 2.0-2.5 for metals - Use slightly higher Volume MA Period (25-30) for smoother analysis - Trade during active market hours for best volume data - The information table will show the futures contract being used (orange highlight) ## Limitations and Considerations **What this indicator does NOT do:** - Does not predict future price direction - Does not guarantee profitable trades - Does not replace proper risk management - Does not work well in extremely low-volume conditions **Market conditions to avoid:** - Pre-market and after-hours sessions (low volume) - Major news events (volatile, unpredictable volume) - Holidays and low-liquidity periods - Extremely low float stocks ## Conclusion Smart MACD Volume Trader represents a significant evolution of the traditional MACD indicator by combining volume confirmation with automatic institutional volume integration. This dual-confirmation approach significantly improves signal quality by filtering out low-conviction price movements and ensuring traders work with accurate volume data. The indicator's automatic detection and mapping system supports over 24 instruments across forex, commodities, and metals markets. By intelligently switching to CME and COMEX futures contracts when appropriate, the indicator provides forex and commodity traders with the same quality of volume data that stock traders naturally have access to. This indicator is particularly valuable for traders who want to: - Align their entries with institutional money flow - Avoid getting trapped in false breakouts - Trade forex pairs with reliable volume data - Access accurate volume information for gold, silver, and energy commodities - Combine momentum and volume analysis in a single, streamlined tool Whether you are day trading stocks, swing trading forex pairs, or positioning in commodities markets, this indicator provides a robust framework for identifying high-probability momentum trades backed by genuine institutional participation. The automatic futures mapping works seamlessly across all supported instruments, requiring no manual configuration or expertise in futures markets. --- ## Support and Updates This indicator is actively maintained and updated based on user feedback and market conditions. For questions about implementation or custom modifications, please use the comments section below. **Disclaimer:** This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management before trading.
Pine Script® インジケーター
Smart-Day-Traderの投稿
MACD Enhanced [DCAUT]█ MACD Enhanced 📊 ORIGINALITY & INNOVATION The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently. This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies. The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms. 📐 MATHEMATICAL FOUNDATION The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines. Available Algorithms: The implementation supports a comprehensive spectrum of technical analysis algorithms: Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting) Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive) Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential) Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility) Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation) Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing) Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA. 📊 COMPREHENSIVE SIGNAL ANALYSIS Histogram Interpretation: Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration Advanced Signal Recognition: Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones 🎯 STRATEGIC APPLICATIONS Comprehensive Trend Confirmation Strategies: Primary Trend Validation Protocol: Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend) Entry Timing Techniques: Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals Advanced Divergence Trading Systems: Regular Divergence Recognition: Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management Hidden Divergence Strategies: Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies Multi-Timeframe Coordination Framework: Three-Timeframe Analysis Structure: Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias Timeframe Synchronization Rules: Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions Conflicting signals between timeframes = Wait for alignment or use smaller position sizes 1H MACD signals only valid when aligned with both higher timeframes Algorithm Considerations by Market Type: Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches. 📋 DETAILED PARAMETER CONFIGURATION Comprehensive Source Selection Strategy: Price Source Analysis and Optimization: Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis Parameter Configuration Principles: Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness. Length Parameter Considerations: Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics Comprehensive Algorithm Selection Framework: MACD Line Algorithm Decision Matrix: EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio Signal Line Algorithm Optimization Strategies: Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA) Parameter Sensitivity Considerations: Impact of Parameter Changes: Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Response Characteristics by Algorithm: Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability Highest Stability: SMA, RMA, TMA - reduced noise but increased lag Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions Noise Filtering Capabilities: Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings. Market Condition Adaptability: Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility. Comparative Performance vs Traditional MACD: Algorithm Flexibility: 21 algorithms vs 1 fixed EMA Signal Quality: Reduced false signals through noise filtering algorithms Market Adaptability: Optimizable for any market condition vs fixed behavior Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control USAGE NOTES This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
Pine Script® インジケーター
DCAUTの投稿
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx Overview The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways. Regardless of the concept or trading school, those who have rules win. In this indicator, we will define and use three main sections to set and apply our rules. The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume. Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu. From the menu, you can select the following reference levels: • HTF Open: Opening candle of the higher timeframe • ATH / ATL: All-Time High / All-Time Low candles • PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows • MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows Additionally, it includes: • Mitigation / Order Block zones (local buyer-seller balance) across two timeframes. • Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels). ________________________________________ Components and Usage 1 – VWAP Calculated using the classical method: • High + Volume for the upper value • Close + Volume for the middle value • Low + Volume for the lower value The VWAP is displayed as a colored band, where the coloring represents the bias. Let’s call this band FVB (Fair Value Band) for ease of explanation. The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels. Within this critical area, the strong side continues its move, while the weaker side is forced to retreat. But does the side that breaks beyond the band always keep going? We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times. To achieve more consistent analysis, we’ll define a new set of rules. ________________________________________ 2 – Mitigation / Order Blocks In trading literature, there are dozens of different definitions and uses of mitigation or order blocks. Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern. For simplicity, let’s abbreviate mitigation as “mtg.” For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart. ________________________________________ Bullish mtg criteria: 1. The first candle must be bullish (close > open) → buyers are strong. 2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react. It also must not break the previous low → buyers defend. 3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed. When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again. If the low is violated, the mtg becomes invalid. In technical terms: If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low. Question: What if the low is protected and in the next candle(s) a new high forms? Answer: → Bullish mtg. Bearish mtg (opposite) 3 – Buy/Sell Side Liquidity Levels With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly. Let’s put the pieces together. If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement. We will determine this bias using the FVB. Since we know the band often gets violated on both sides, we want the price action to convince us of its strength. To do that, we’ll use the first candle that closes beyond the band. The distance from that candle’s high to low will be our threshold range Bullish level = high + (candle length × coefficient) Bearish level = low - (candle length × coefficient) When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction. How long will this bias remain valid? → Until a closing candle appears on the opposite side of the band. If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken. During the period in between, we have no bias. Let’s continue on the chart: Now that our bias has been established, where and how do we look for trade opportunities? There are two possible entry approaches: • Aggressive entry: Enter immediately with the breakout. • Conservative entry: Wait for a pullback and enter once a suitable structure forms. (The choice depends on the user’s preference.) At this stage, the user can apply their own entry model. Let’s give an example: Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation. Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal. In summary: • FVB defines the bias, the entry zone, and the target zone. • Mtg blocks represent entry zones. • BSL / SSL levels suggest target zones. Overlapping FVB and mtg blocks are expected to be more effective. The indicator also provides an option for a second FVB. A band attached to a lower timeframe can be used as confirmation. • Main band: Bias + FVB • Extra band: Entry trigger confirmed by a close beyond it. Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow). Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering. Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective. Settings: The default values are set to 1-3-5m, optimized for scalping trades. VWAP settings: Main VWAP (FVB): • Can be set by selecting a start time, manually entering date and time, or choosing a predefined level. Extra VWAP (FVB): • Set from the menu. If not needed, select “none.” • Visibility, color, and fill settings for VWAP are located here. • Threshold levels visibility and color options are also in this section. • The multiplier is used for calculating the threshold level. Important: • If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe. o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly. • Upper limits for VWAP: o 1m and 3m charts: daily High/Low o 5m chart: weekly High/Low ________________________________________ Mtg Settings: • Visibility and color settings for blocks are configured here. • To display on a second timeframe, the box must be checked and the timeframe specified. • Optional display modes: “only active blocks,” “only last violated mtg,” or “all.” • For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions. BSL/SSL Settings: • Visibility, color, font size, and line style can be configured in this section. When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe. Final Words: Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run. I would be happy to hear your feedback and suggestions. Happy trading!
Pine Script® インジケーター
cdikici71の投稿
26
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break. What it does This tool plots three families of high-signal reference lines and keeps them tidy as price evolves: Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits. Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes. Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed). Why these levels matter Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity: Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view: Cleaner charts — Auto-remove broken lines so you focus on what still matters right now. What it plots (at a glance) Past Chosen Day High/Low for up to N prior weeks (your choice), extended right. Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension. Optional short labels (e.g., “Mon High”) or full labels (with week/month info). How breaks are detected & cleaned You control both the evidence and the timing of a “break”: Break uses — Choose Close (more conservative) or Wick (more sensitive). Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross. Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes. Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: ) Quick start Pick a Day of Week to Track (e.g., Monday). Set how many weeks back to show (e.g., 8–10). Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens). Decide if a break uses Close or Wick , and whether equality counts. Toggle Remove Broken Levels to keep the chart clean automatically. Tips by use-case Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See: Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim. Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example: Customization Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter). Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency. Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info). Color scheme — Separate colors for highs, lows, and each of D/W/M opens. Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible. What’s under the hood On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars. At each new day/week/month , it records the opening price and projects that line forward as well. Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on. Everything updates in real time; past levels don’t repaint after the session finishes. Recommended presets Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on. Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L. Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity. Reading the examples Broken lines disappear — decluttering in action: Macro outlook — monthly opens as cycle rails: Liquidity map — previous day highs + daily open: Final note These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Pine Script® インジケーター
BackQuantの投稿
6
Custom ZigZag IndicatorOverview The Custom ZigZag Indicator is a technical analysis tool built in Pine Script (version 5) for TradingView. It overlays on price charts to visualize market trends by connecting significant swing highs and lows, filtering out minor price noise. This helps identify the overall market direction (uptrends or downtrends), potential reversal points, and key support/resistance levels. Unlike standard price lines, it "zigzags" only between meaningful pivots, making trends clearer. Core Logic and How It Works The script uses a state-machine approach to track market direction and pivots: Initialization Starts assuming an upward trend on the first bar. sets initial high/low prices and bar indices based on the current bar's high/low. Direction Tracking: Upward Trend (direction = 1): Monitors for new highs: If the current high exceeds the tracked high, update the high price and bar. Checks for reversal: If the low drops below the high by the deviation percentage (e.g., high * (1 - 0.05) for 5%), it signals a downtrend reversal. Draws a green line from the last pivot (low) to the new high. If labels are enabled, adds a label: "HH" (Higher High if above previous high), "LH" (Lower High if below), or "H" (for the first one). Updates the last high and switches to downward direction. Downward Trend (direction = -1): Monitors for new lows: If the current low is below the tracked low, update the low price and bar. Checks for reversal: If the high rises above the low by the deviation percentage (e.g., low * (1 + 0.05)), it signals an uptrend reversal. Draws a red line from the last pivot (high) to the new low. If labels are enabled, adds a label: "LL" (Lower Low if below previous low), "HL" (Higher Low if above), or "L" (for the first one). Updates the last low and switches to upward direction.
Pine Script® インジケーター
Az_Tinksの投稿
1
Swing High/Low with Liquidity Sweeps🧠 Overview This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events. ⚙️ Inputs Swing Length (must be odd number ≥ 3): Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range. Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides. Sweep Lookback (bars): Defines how many bars to look back for possible liquidity sweeps. Show Swing Labels (checkbox): Optionally display labels on the chart when a swing high or low is detected. Show Sweep Labels (checkbox): Optionally display labels on the chart when a liquidity sweep occurs. 🕯️ Swing Detection Logic A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length). A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles. Swing labels are placed slightly above (for highs) or below (for lows) the candle. 💧 Liquidity Sweep Logic A Sweep High is triggered if: The current high breaks above a previously detected swing high, And then the candle closes below that swing high, Within the configured lookback window. A Sweep Low is triggered if: The current low breaks below a previous swing low, And then closes above it, Within the lookback window. These are often seen as stop hunts or fake breakouts. 🔔 Alerts Sweep High Alert: Triggered when a sweep above a swing high occurs. Sweep Low Alert: Triggered when a sweep below a swing low occurs. You can use these to set up TradingView alerts to notify you of potential liquidity grabs. 📊 Use Cases Identifying market structure shifts. Spotting fake breakouts and potential reversals. Assisting in smart money concepts and liquidity-based trading. Supporting entry timing in trend continuation or reversal strategies.
Pine Script® インジケーター
TradePro1000の投稿
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed. Why Measure the Weekly IB? Week-Opening Sentiment: Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control. Key Liquidity Zones: Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels. Support & Resistance: The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits. Volatility Forecast: The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB). Significance of IB Levels Breakout: A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move. Fade: A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade. Mid-Point: The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies. Three Core Monday IB Strategies A. Breakout (Open-Range Breakout) Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short). Stop-Loss: A few pips below IB High (long) or above IB Low (short). Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1). Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move. B. Fade (Reversal at Extremes) Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs. Stop-Loss: Just beyond the IB extreme you’re fading. Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme. Best When: Monday’s action is range-bound and lacks a clear directional trend. C. Mid-Point Trading Entry: When price returns to the 50% level of the IB range. In an up-trend: buy if it bounces off mid-point back toward IB High. In a down-trend: sell if it reverses off mid-point back toward IB Low. Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts). Profit-Target: To the corresponding IB extreme (High or Low). Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point. Usage Steps Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours). Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range). Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio. Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
Pine Script® インジケーター
Alpachino97の投稿
beanBean's Multi-Instrument Pattern Scanner. This indicator scans H1 timeframe for specific technical patterns. Here's how each pattern is detected: PATTERN DETECTION CRITERIA: 1. Hammer - Body Size: ≤ 30% of total candle length - Lower Wick: > 50% of total candle length - Upper Wick: < 20% of total candle length - Formula: * bodySize = |close - open| * upperWick = high - max(open, close) * lowerWick = min(open, close) - low * totalLength = high - low 2. Shooting Star - Body Size: ≤ 30% of total candle length - Upper Wick: > 50% of total candle length - Lower Wick: < 20% of total candle length - Uses same measurements as Hammer but inverted 3. Outside/Inside (OI) Checks three consecutive bars: - Outside Bar: Bar2 high ≥ Bar3 high AND Bar2 low ≤ Bar3 low - Inside Bar: Bar1 high ≤ Bar2 high AND Bar1 low ≥ Bar2 low Pattern confirms when both conditions are met 4. Bullish/Bearish Umbrella Checks two consecutive bars: Bullish: - Current bar's high ≤ previous bar's high - Current body high ≤ previous bar's high - Current body low ≥ previous body high Bearish: - Current bar's low ≥ previous bar's low - Current body low ≥ previous bar's low - Current body high ≤ previous body low 5. Three Bar Triangle (3BT) Checks three consecutive bars: - Current bar's high ≤ max(previous two highs) - Current bar's low ≥ min(previous two lows) - Indicates price compression DISPLAY AND ALERTS: - Patterns are displayed in real-time in the table - Multiple patterns can be detected simultaneously - Pattern detection resets each new H1 candle CONFIGURATION: - Each row can be independently configured - Patterns are checked on H1 timeframe close - Alert frequency: Once per H1 bar close Note: All measurements use standard OHLC values from only completed H1 candles.
Pine Script® インジケーター
beanthehacker1の投稿
Inner Bar Strength (IBS)Inner Bar Strength (IBS) Indicator The Inner Bar Strength (IBS) indicator is a technical analysis tool designed to measure the position of the closing price relative to the day's price range. It provides insights into market sentiment by indicating where the close occurs within the high and low of a specific timeframe. The IBS value ranges from 0 to 1, where values near 1 suggest bullish momentum (close near the high), and values near 0 indicate bearish momentum (close near the low). How It Works The IBS is calculated using the following formula: IBS = (Close−Low) / (High−Low) IBS = (High−Low) / (Close−Low​) Close: Closing price of the selected timeframe. Low: Lowest price of the selected timeframe. High: Highest price of the selected timeframe. The indicator allows you to select the timeframe for calculation (default is daily), providing flexibility to analyze different periods based on your trading strategy. Key Features Inner Bar Strength (IBS) Indicator The Inner Bar Strength (IBS) indicator is a technical analysis tool designed to measure the position of the closing price relative to the day's price range. It provides insights into market sentiment by indicating where the close occurs within the high and low of a specific timeframe. The IBS value ranges from 0 to 1, where values near 1 suggest bullish momentum (close near the high), and values near 0 indicate bearish momentum (close near the low). How It Works The IBS is calculated using the following formula: IBS=Close−LowHigh−Low IBS=High−LowClose−Low​ Close: Closing price of the selected timeframe. Low: Lowest price of the selected timeframe. High: Highest price of the selected timeframe. The indicator allows you to select the timeframe for calculation (default is daily), providing flexibility to analyze different periods based on your trading strategy. Key Features Timeframe Selection: Customize the timeframe to daily, weekly, monthly, or any other period that suits your analysis. Adjustable Thresholds: Input fields for upper and lower thresholds (defaulted at 0.9 and 0.1) help identify overbought and oversold conditions. Visual Aids: Dashed horizontal lines at the threshold levels make it easy to visualize critical levels on the chart. How to Use the IBS Indicator When the IBS value exceeds the upper threshold (e.g., 0.9), it suggests the asset is closing near its high and may be overbought. When the IBS value falls below the lower threshold (e.g., 0.1), it indicates the asset is closing near its low and may be oversold. Use RSI to confirm overbought or oversold conditions identified by the IBS. Incorporate moving averages to identify the overall trend and filter signals. High trading volume can strengthen signals provided by the IBS. If the price is making lower lows while the IBS is making higher lows, it may signal a potential upward reversal. If the price is making higher highs and the IBS is making lower highs, a downward reversal might be imminent. Conclusion The Inner Bar Strength (IBS) indicator is a valuable tool for traders seeking to understand intraday momentum and potential reversal points. By measuring where the closing price lies within the day's range, it provides immediate insights into market sentiment. When used alongside other technical analysis tools, the IBS can enhance your trading strategy by identifying overbought or oversold conditions, confirming breakouts, and highlighting potential divergence signals.
Pine Script® インジケーター
AlgoTrader90の投稿
Previous Day High and Low Count with Probabilities Indicator Explanation This indicator displays the number of days on which the previous day's high or low prices were not reached and calculates probabilities for future price movements based on this information. It stores the high and low values of the last 45 days and checks daily whether these levels were touched. Based on the number of days without touching either the high or the low, the indicator calculates the probability of future price movements in either direction (Up or Down). The indicator offers customization options for label placement and color on the chart. The counts for the high and low touches, along with the calculated probabilities (in percentages), are displayed as labels on the chart. These labels can be shifted along the X-axis by up to 50 bars and can be customized in color and size. Additionally, the text for the labels can be freely chosen, giving the user improved flexibility and overview. In summary, this indicator helps to: - Track how often previous day's high and low levels were not reached. - Estimate probabilities for future price movements based on this information. - Customize the chart display for easier interpretation. Strategy Concept Probability and Touch Conditions: A long position is entered only if: The probability of reaching the high is at least 60%. The price has not touched the previous day’s high in the last three days. Similarly, for short positions: The probability of reaching the low is at least 60%. The price has not touched the previous day’s low in the last three days. Incremental Position Size Increase: On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened. On the 4th day, an additional position of 0.01 lots is added. On the 5th day, an extra position of 0.02 lots is opened. After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered. Trend Reversal Detection: The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened. Adjustments and Risk Management This strategy can be adjusted by modifying the probability values, the number of days without a high/low touch, and the lot sizes. Additionally, stop-loss and take-profit levels can be added to further control the risk and secure profits. Strategy Concept Probability and Touch Conditions: A long position is entered only if: The probability of reaching the high is at least 60%. The price has not touched the previous day’s high in the last three days. Similarly, for short positions: The probability of reaching the low is at least 60%. The price has not touched the previous day’s low in the last three days. Incremental Position Size Increase: On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened. On the 4th day, an additional position of 0.01 lots is added. On the 5th day, an extra position of 0.02 lots is opened. After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered. Trend Reversal Detection: The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened. Risk Disclaimer The author of this strategy does not assume any liability for potential losses or gains that may arise from the use of this strategy. Trading involves significant risk, and it is important to only trade with capital that you can afford to lose. The strategy presented is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider seeking advice from a professional financial advisor before making any trading decisions.
Pine Script® インジケーター
morris220768の投稿