Black Friday最大80%オフ

"daily"に関するスクリプトを検索

Traded Range & True ATRBlack line = Trade Range from the last X periods. Red Line = 61.8% of black line value. Green bar = The current trade period range. Default Value = 21 (21 days = I business month) Generally speaking, a stock moves approximately the same value daily. Knowing the approximate value it likes to stay within calms the nerves when you see retracement of price occuring. IE. Price average = 1.00 in a day. It move .75 within first hour then retraces in the opposite direction. There are still hours left in the trade day, so it is trading in its value range in order to not over extend itself. This differs in calculation from the Wells Wilder version as it smooths out jumps and only examines the ranges between high and low. A good rule of thumb is. Stop Loss = Entry Price +/- (ATR * 1.5) Take Profit = (1) Entry Price +/- ATR - 50% exit (Set Trailing Stop @ Entry Value), (2) Entry Price +/- ATR * 2 (50% of remaining).
Pine Script® インジケーター
priceprophetの投稿
3
RSI Multi Time Frame - Spot Panic Sell Moments and profit!Union of three RSI indicators: 1h, 4h and daily. In order to show 1h RSI, you have to set it as active time frame on the chart. Purpose: spot "triple oversold" moments, where all the three RSI are under the threshold, which is 30 by default but editable. Target Market: Cryptocurrencies. Didn't try it on other ones, may work as well. Fits Crypto well as, by experience, I can tell it usually doesn't stay oversold for long. When the market panics and triple oversold occurs, the spot is highlighted by a green vertical bar on the indicator. The indicator highlights triple overbought conditions as well (usually indicating strong FOMO), but I usually don't use it as a signal. I suggest to edit the oversold threshold in order to make it fit the coin you're studying, minimizing false positives. Special thanks to Heavy91, a Discord user, for inspiring me in this indicator. Any editing proposal is welcome! I reposted this script, as the first time I wrote it in Italian. Sorry for that.
Pine Script® インジケーター
lukescreamの投稿
4
Percent Difference Between VWAP and Price MTFShows the difference between vwap and price in percent. You can can choose between multiple timeframe vwap. Default is normal daily. The levels on the indicator can be changed to whatever you want to. In the chart above we can see eurusd reverting up at 3% below monthly vwap, after the brexit dip, It then turns down again at 1% from monthly and lastly it turns up again at 2% from monthly. Script is a small modification of this:
Pine Script® インジケーター
TheYangGuiziの投稿
2
Multi-Ticker Anchored CandlesMulti-Ticker Anchored Candles (MTAC) is a simple tool for overlaying up to 3 tickers onto the same chart. This is achieved by interpreting each symbol's OHLC data as percentages, then plotting their candle points relative to the main chart's open. This allows for a simple comparison of tickers to track performance or locate relationships between them. > Background The concept of multi-ticker analysis is not new, this type of analysis can be extremely helpful to get a gauge of the over all market, and it's sentiment. By analyzing more than one ticker at a time, relationships can often be observed between tickers as time progresses. While seeing multiple charts on top of each other sounds like a good idea...each ticker has its own price scale, with some being only cents while others are thousands of dollars. Directly overlaying these charts is not possible without modification to their sources. By using a fixed point in time (Period Open) and percentage performance relative to that point for each ticker, we are able to directly overlay symbols regardless of their price scale differences. The entire process used to make this indicator can be summed up into 2 keywords, "Scaling & Anchoring". > Scaling First, we start by determining a frame of reference for our analysis. The indicator uses timeframe inputs to determine sessions which are used, by default this is set to 1 day. With this in place, we then determine our point of reference for scaling. While this could be any point in time, the most sensible for our application is the daily (or session) open. Each symbol shares time, therefore, we can take a price point from a specified time (Opening Price) and use it to sync our analysis over each period. Over the day, we track the percentage performance of each ticker's OHLC values relative to its daily open (% change from open). Since each ticker's data is now tracked based on its opening price, all data is now using the same scale. The scale is simply "% change from open". > Anchoring Now that we have our scaled data, we need to put it onto the chart. Since each point of data is relative to it's daily open (anchor point), relatively speaking, all daily opens are now equal to each other. By adding the scaled ticker data to the main chart's daily open, each of our resulting series will be properly scaled to the main chart's data based on percentages. Congratulations, We have now accurately scaled multiple tickers onto one chart. > Display The indicator shows each requested ticker as different colored candlesticks plotted on top of the main chart. Each ticker has an associated label in front of the current bar, each component of this label can be toggled on or off to allow only the desired information to be displayed. To retain relevance, at the start of each session, a "Session Break" line is drawn, as well as the opening price for the session. These can also be toggled. Note: The opening price is the opening price for ALL tickers, when a ticker crosses the open on the main chart, it is crossing its own opening price as well. > Examples In the chart below, we can see NYSE:MCD NASDAQ:WEN and NASDAQ:JACK overlaid on a NASDAQ:SBUX chart. From this, we can see NASDAQ:JACK was the top gainer on the day. While this was the case, it also fell roughly 4% from its peak near lunchtime. Unlike the top gainer, we can see the other 3 tickers ended their day near their daily high. In the explanations above, the daily timeframe is used since it is the default; however, the analysis is not constrained to only days. The anchoring period can be set to any timeframe period. In the chart below, you can observe the Daily, Weekly, and Monthly anchored charts side-by-side. This can be used on all tickers, timeframes, and markets. While a typical application may be comparing relevant assets... the script is not limited. Below we have a chart tracking COMEX:GCV2026 , FX:EURUSD , and COINBASE:DOGEUSD on the AMEX:SPY chart. While these tickers are not typically compared side-by-side, here it is simply a display of the capabilities of the script. Enjoy!
Pine Script® インジケーター
SamRecioの投稿
🤖 DarkPool's Omni-MA APEX v3 🤖DarkPool's Omni-MA APEX v3 is an all-encompassing technical analysis suite designed to replace multiple indicators with a single, highly optimized tool. At its core, it features five independently customizable "Omni-MAs" capable of running various calculation models (SMA, EMA, HMA, LSMA, etc.) across multiple timeframes. Beyond standard trend lines, the APEX v3 integrates a sophisticated "Market Structure Engine" that automatically plots Support & Resistance zones based on pivot points and volatility (ATR). It also features a "Trend Cloud" to visualize macro sentiment and a professional-grade Dashboard that aggregates data from over 10 different sources (RSI, MACD, OBV, Volume, etc.) to provide a real-time health check of the asset. Key Features 5-Layer Omni-MA System: Five distinct moving averages with "Smart Coloring" that detects trends, consolidations (flat markets), and reversals. Auto Support & Resistance: A dynamic algorithm that draws, updates, and prunes liquidity zones on the chart automatically. Macro Trend Cloud: A visual background fill comparing Daily and Weekly momentum to keep you aligned with the higher timeframe. Data Dashboard: A customizable panel displaying real-time metrics for Momentum, Volume, RSI, Divergences, and VWAP status. Signal Generator: Alerts for MA crossovers, S/R breakouts, and trend shifts. How to Use 1. The Omni-MAs (The Lines) The indicator plots up to five lines, color-coded for instant trend recognition: Green/Blue: Price is above the previous value (Uptrend). Red/Maroon: Price is below the previous value (Downtrend). Gray: The line is flat (Consolidation/Chop). MA 1-2 (Fast): Use these for entry triggers and scalping. MA 3 (Medium): The "Anchor" line, often used as dynamic support. MA 4-5 (Slow): The macro trend filters. If price is below MA 5, looking for longs is risky. 2. The Trend Cloud Background Fill: This visualizes the difference between the Daily EMA and Weekly EMA. Green Cloud: The Daily trend is above the Weekly trend (Strong Bullish Market). Red Cloud: The Daily trend is below the Weekly trend (Strong Bearish Market). 3. Support & Resistance Zones The Boxes: The script identifies pivot points and projects them forward as boxes. Strategy: Watch for price to react at these zones. If a candle closes through a zone, it signals a Breakout (Green triangle) or Breakdown (Red triangle). 4. The Dashboard Located in the corner of your chart, this table provides a "Cockpit View" of the market: Momentum Score: A composite score (-100 to +100) derived from RSI, MACD, and Stochastic. Vol Ratio: Compares current volume to the average. A green bar indicates volume is higher than usual. Market State: Classifies the market into regimes like "Volatile Bull," "Quiet Bear," or "Ranging." Configuration Settings Dashboard UI Compact Mode: Reduces the table to show only the final Buy/Sell signal. Active Widgets: Toggle individual data points (e.g., turn off "OBV" or "ADX" if you don't use them) to save screen space. Global Analysis (Strategy Engine) ATR Filter: Filters out "Weak" trends. If the price movement is too small (low volatility), signals are suppressed. Volume MA: Sets the lookback period for calculating relative volume. Support & Resistance Pivot Sensitivity: Lower numbers find more zones (more noise); higher numbers find fewer, stronger zones. Zone Width: Multiplies the ATR to determine how thick the S/R boxes should be. MA Settings (1-5) Type: Choose from SMA, EMA, WMA, HMA (Hull), VWMA, LSMA, ALMA, and more. Timeframe: You can set MA 5 to "D" (Daily) while trading on a 15-minute chart to see the daily trend line overlaid. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
Pine Script® インジケーター
DarkPoolCryptoの投稿
1D & 1W Institutional Trend The 1D & 1W Institutional Trend is a multi-timeframe (MTF) trend-following system designed to align traders with major "macro" market moves. Instead of relying on noisy intraday data, this indicator pulls data from the Daily (1D) and Weekly (1W) timeframes to construct a robust trend baseline, regardless of the chart timeframe you are currently viewing. The core logic is based on the interaction between a Fast Institutional EMA (Daily) and a Slow Institutional EMA (Weekly). When the Daily trend crosses above the Weekly trend, it signals a significant shift in market structure. To ensure signal quality, the script incorporates a "Smart Filter" engine that checks for Momentum (RSI) and Volatility (ATR) before generating entry signals, preventing trades during exhausted or dead markets. Key Features Multi-Timeframe Engine: Projects Daily and Weekly moving averages onto lower timeframe charts (e.g., 1H or 4H) to show the "Big Picture." Non-Repainting Logic: Utilizes closed-bar data to ensure that historical signals match live trading conditions strictly. Algorithmic Filtering: Momentum Filter: Rejects Buy signals if RSI is overbought and Sell signals if RSI is oversold. Volatility Filter: Rejects signals during low-volatility "compression" zones using ATR. Institutional Dashboard: A data panel tracking the macro trend status, trend strength (Spread %), and filter conditions. How to Use 1. The Trend Cloud The visual core of the indicator is the "Cloud" formed between the two Moving Averages. Green Cloud: The Daily Average is above the Weekly Average. The macro trend is Bullish. Look for long positions. Red Cloud: The Daily Average is below the Weekly Average. The macro trend is Bearish. Look for short positions. The Midline: The gray line represents the "Fair Value" price between the two timeframes. It often acts as dynamic support or resistance during a trend. 2. Signal Triangles Discrete shapes appear only when a crossover is confirmed AND all filters are met. Up Triangle: Confirmed Bullish Crossover (Daily crosses over Weekly) + RSI is not overbought + Volatility is active. Down Triangle: Confirmed Bearish Crossover (Daily crosses under Weekly) + RSI is not oversold + Volatility is active. 3. The Dashboard Located in the bottom right, this table provides a health check of the current trend: Macro Trend: Displays BULLISH or BEARISH based on the cloud direction. Trend Spread %: Measures the distance between the two EMAs. A widening percentage indicates a strengthening trend, while a narrowing percentage suggests momentum loss. RSI Condition: Displays "SAFE" (good to trade) or "EXTENDED" (too risky). Volatility: Displays "EXPANSION" (good movement) or "COMPRESSION" (flat market). 4. Timeframe Rules Because this indicator uses Daily and Weekly data, your chart timeframe must be lower than the Fast Trend Timeframe. Correct: Viewing a 1-Hour chart with 1D/1W settings. Incorrect: Viewing a Weekly chart with 1D/1W settings (this will trigger an error message on the screen). Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
Pine Script® インジケーター
DarkPoolCryptoの投稿
Hybrid Flow Master📊 Hybrid Flow Master - Professional Trading Indicator Overview Hybrid Flow Master is an advanced all-in-one trading indicator that combines Smart Money Concepts, institutional order flow analysis, and multi-timeframe confluence scoring to identify high-probability trade setups. Designed for both scalpers and swing traders across all markets (Forex, Crypto, Stocks, Indices). 🎯 Key Features 1. Intelligent Confluence System (0-100% Scoring) Proprietary scoring algorithm that weighs multiple factors Only signals when minimum confidence threshold is met Real-time probability calculations for each setup Signal quality grading: A+, A, B, C ratings 2. Smart Money Concepts (SMC) Automatic Order Block detection (bullish/bearish) Fair Value Gap (FVG) identification Market structure analysis (Higher Highs, Lower Lows) Swing high/low tracking with visual markers 3. Multi-Timeframe Analysis Higher timeframe trend filter for confluence Customizable HTF periods (1H, 4H, Daily, etc.) Prevents counter-trend trades Aligns entries with major trends 4. Volume Flow Analysis Volume spike detection with customizable thresholds Volume delta calculations (buying vs selling pressure) Institutional footprint identification Background highlighting for high-volume bars 5. Advanced Risk Management ATR-based stop loss calculation Automatic take profit levels Customizable risk/reward ratios (1:1, 1:2, 1:3+) Visual SL/TP lines on chart Position sizing guidance 6. Professional Dashboard Real-time HUD displaying: Market bias (Bullish/Bearish/Neutral) Higher timeframe trend status Current confluence percentage Volume status (Normal/High) RSI reading with color coding ATR volatility measure Signal quality grade 7. Smart Alert System Bullish confluence signals Bearish confluence signals Volume spike notifications Customizable alert messages Works with mobile app notifications 📈 What Makes It Unique? ✅ No Repainting - All signals are confirmed and final ✅ Probability-Based - Shows confidence level, not just binary signals ✅ Multi-Factor Confluence - Combines structure, volume, momentum, and HTF analysis ✅ Clean Interface - Toggle individual components on/off ✅ Works on All Timeframes - From 1-minute scalping to daily swing trading ✅ Universal Markets - Forex, Crypto, Stocks, Indices, Commodities 🎨 Customization Options Adjustable swing detection length Volume threshold settings Minimum confluence score filter Custom color schemes Dashboard position (4 corners) Show/hide individual components Risk/reward ratio adjustment ATR multiplier for stops 📊 Best Used For: ✔️ Scalping (1m - 15m charts) ✔️ Day Trading (15m - 1H charts) ✔️ Swing Trading (4H - Daily charts) ✔️ Trend Following ✔️ Reversal Trading ✔️ Breakout Trading 💡 How to Use: Add indicator to chart - Works immediately with default settings Set your timeframe - Choose your trading style Wait for signals - Green BUY or Red SELL labels with confidence % Check confluence score - Higher % = better quality setup Review dashboard - Confirm market bias and HTF trend Manage risk - Use provided SL/TP levels or adjust to your preference Set alerts - Get notified of high-probability setups ⚙️ Recommended Settings: For Scalping (1m-5m): Swing Length: 5-7 Min Confluence: 70% HTF: 15m or 1H For Day Trading (15m-1H): Swing Length: 10-15 Min Confluence: 60% HTF: 4H or Daily For Swing Trading (4H-Daily): Swing Length: 15-20 Min Confluence: 50-60% HTF: Weekly 📚 Indicator Components: ✦ Market Structure Detection ✦ Order Block Identification ✦ Fair Value Gaps (FVG) ✦ Volume Analysis ✦ RSI (14) ✦ MACD (12, 26, 9) ✦ ATR (14) ✦ Multi-Timeframe Trend ✦ Confluence Scoring Algorithm 🚀 Performance Notes: Optimized for speed and efficiency Minimal CPU usage Clean chart presentation Limited drawing objects (no chart clutter) Works on all TradingView plans ⚠️ Important Notes: This indicator is a tool to assist trading decisions, not financial advice Always use proper risk management (1-2% per trade recommended) Backtest on your preferred market and timeframe Combine with your own analysis and strategy Past performance does not guarantee future results 🔔 Alert Setup: Right-click indicator name → "Add Alert" → Choose: "Bullish Confluence Signal" for buy setups "Bearish Confluence Signal" for sell setups "Volume Spike Alert" for unusual activity 💬 Support: For questions, suggestions, or custom modifications, feel free to message me directly through TradingView.
Pine Script® インジケーター
kariyappavinayの投稿
Floor Trader PivotsGenerated by: Claude Sonnet 4.5 Pine Script that draws Floor Trader Pivots using 'daily' price levels with configurable options. Key Features: Pivot Calculation: Uses the classic formula: Pivot = (High + Low + Close) / 3 Resistance levels: R1, R2, R3 Support levels: S1, S2, S3 Optional mid-pivots between main levels Configurable Settings: Timeframe: Choose Daily, Weekly, or Monthly pivots Display toggles: Show/hide individual levels Colors: Customize each level's color Line style: Solid, dashed, or dotted Line width: 1-5 pixels Extension: None, right, or both directions Labels: Show/hide with left or right positioning Calculations: R1 = 2×Pivot - Low R2 = Pivot + (High - Low) R3 = R1 + (High - Low) S1 = 2×Pivot - High S2 = Pivot - (High - Low) S3 = S1 - (High - Low) Uses daily price levels specifically. Added daily-specific data fetching: The script now explicitly fetches both current day and previous day's high, low, and close prices Calculations use daily data: All pivot calculations now use prevDailyH, prevDailyL, and prevDailyC (previous day's high, low, close) Kept the timeframe input: You can still change it if you want weekly or monthly pivots, but it now defaults to and emphasizes daily calculations The Floor Trader Pivots will now always be based on the previous day's price action, which is the traditional method floor traders use. This is particularly useful for intraday trading as these levels update daily and provide key support/resistance zones.
Pine Script® インジケーター
pallepatiの投稿
Pivot Points Standard + 9/20/50/200 EMA by NK//@version=6 indicator("Pivot Points Standard + 9/20/50/200 EMA", "Pivots+EMA", overlay=true, max_lines_count=500, max_labels_count=500) // --- EMA calculations and plots ema9 = ta.ema(close, 9) ema20 = ta.ema(close, 20) ema50 = ta.ema(close, 50) ema200 = ta.ema(close, 200) plot(ema9, color=color.green, linewidth=2, title="EMA 9") plot(ema20, color=color.red, linewidth=2, title="EMA 20") plot(ema50, color=color.new(color.blue, 0), linewidth=2, title="EMA 50") // dark blue plot(ema200, color=color.black, linewidth=2, title="EMA 200") // --- Pivots Inputs pivotTypeInput = input.string(title="Type", defval="Traditional", options= ) pivotAnchorInput = input.string(title="Pivots Timeframe", defval="Auto", options= ) maxHistoricalPivotsInput = input.int(title="Number of Pivots Back", defval=15, minval=1, maxval=200, display = display.data_window) isDailyBasedInput = input.bool(title="Use Daily-based Values", defval=true, display = display.data_window, tooltip="When this option is unchecked, Pivot Points will use intraday data while calculating on intraday charts. If Extended Hours are displayed on the chart, they will be taken into account during the pivot level calculation. If intraday OHLC values are different from daily-based values (normal for stocks), the pivot levels will also differ.") showLabelsInput = input.bool(title="Show Labels", defval=true, group="labels", display = display.data_window) showPricesInput = input.bool(title="Show Prices", defval=true, group="labels", display = display.data_window) positionLabelsInput = input.string("Left", "Labels Position", options= , group="labels", display = display.data_window, active = showLabelsInput or showPricesInput) linewidthInput = input.int(title="Line Width", defval=1, minval=1, maxval=100, group="levels", display = display.data_window) DEFAULT_COLOR = #FB8C00 showLevel2and3 = pivotTypeInput != "DM" showLevel4 = pivotTypeInput != "DM" and pivotTypeInput != "Fibonacci" showLevel5 = pivotTypeInput == "Traditional" or pivotTypeInput == "Camarilla" pColorInput = input.color(DEFAULT_COLOR, "P ", inline="P", group="levels", display = display.data_window) pShowInput = input.bool(true, "", inline="P", group="levels", display = display.data_window) s1ColorInput = input.color(DEFAULT_COLOR, "S1", inline="S1/R1" , group="levels", display = display.data_window) s1ShowInput = input.bool(true, "", inline="S1/R1", group="levels", display = display.data_window) r1ColorInput = input.color(DEFAULT_COLOR, " R1", inline="S1/R1", group="levels", display = display.data_window) r1ShowInput = input.bool(true, "", inline="S1/R1", group="levels", display = display.data_window) s2ColorInput = input.color(DEFAULT_COLOR, "S2", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3) s2ShowInput = input.bool(true, "", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3) r2ColorInput = input.color(DEFAULT_COLOR, " R2", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3) r2ShowInput = input.bool(true, "", inline="S2/R2", group="levels", display = display.data_window, active = showLevel2and3) s3ColorInput = input.color(DEFAULT_COLOR, "S3", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3) s3ShowInput = input.bool(true, "", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3) r3ColorInput = input.color(DEFAULT_COLOR, " R3", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3) r3ShowInput = input.bool(true, "", inline="S3/R3", group="levels", display = display.data_window, active = showLevel2and3) s4ColorInput = input.color(DEFAULT_COLOR, "S4", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4) s4ShowInput = input.bool(true, "", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4) r4ColorInput = input.color(DEFAULT_COLOR, " R4", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4) r4ShowInput = input.bool(true, "", inline="S4/R4", group="levels", display = display.data_window, active = showLevel4) s5ColorInput = input.color(DEFAULT_COLOR, "S5", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5) s5ShowInput = input.bool(true, "", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5) r5ColorInput = input.color(DEFAULT_COLOR, " R5", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5) r5ShowInput = input.bool(true, "", inline="S5/R5", group="levels", display = display.data_window, active = showLevel5) type graphicSettings string levelName color levelColor bool showLevel var graphicSettingsArray = array.from( graphicSettings.new(" P", pColorInput, pShowInput), graphicSettings.new("R1", r1ColorInput, r1ShowInput), graphicSettings.new("S1", s1ColorInput, s1ShowInput), graphicSettings.new("R2", r2ColorInput, r2ShowInput), graphicSettings.new("S2", s2ColorInput, s2ShowInput), graphicSettings.new("R3", r3ColorInput, r3ShowInput), graphicSettings.new("S3", s3ColorInput, s3ShowInput), graphicSettings.new("R4", r4ColorInput, r4ShowInput), graphicSettings.new("S4", s4ColorInput, s4ShowInput), graphicSettings.new("R5", r5ColorInput, r5ShowInput), graphicSettings.new("S5", s5ColorInput, s5ShowInput)) autoAnchor = switch timeframe.isintraday => timeframe.multiplier <= 15 ? "1D" : "1W" timeframe.isdaily => "1M" => "12M" pivotTimeframe = switch pivotAnchorInput "Auto" => autoAnchor "Daily" => "1D" "Weekly" => "1W" "Monthly" => "1M" "Quarterly" => "3M" => "12M" pivotYearMultiplier = switch pivotAnchorInput "Biyearly" => 2 "Triyearly" => 3 "Quinquennially" => 5 "Decennially" => 10 => 1 numOfPivotLevels = switch pivotTypeInput "Traditional" => 11 "Camarilla" => 11 "Woodie" => 9 "Classic" => 9 "Fibonacci" => 7 "DM" => 3 type pivotGraphic line pivotLine label pivotLabel method delete(pivotGraphic graphic) => graphic.pivotLine.delete() graphic.pivotLabel.delete() var drawnGraphics = matrix.new() localPivotTimeframeChange = timeframe.change(pivotTimeframe) and year % pivotYearMultiplier == 0 securityPivotTimeframeChange = timeframe.change(timeframe.period) and year % pivotYearMultiplier == 0 pivotTimeframeChangeCounter(condition) => var count = 0 if condition and bar_index > 0 count += 1 count localPivots = ta.pivot_point_levels(pivotTypeInput, localPivotTimeframeChange) securityPivotPointsArray = ta.pivot_point_levels(pivotTypeInput, securityPivotTimeframeChange) securityTimeframe = timeframe.isintraday ? "1D" : timeframe.period = request.security(syminfo.tickerid, pivotTimeframe, , lookahead = barmerge.lookahead_on) pivotPointsArray = isDailyBasedInput ? securityPivots : localPivots affixOldPivots(endTime) => if drawnGraphics.rows() > 0 lastGraphics = drawnGraphics.row(drawnGraphics.rows() - 1) for graphic in lastGraphics graphic.pivotLine.set_x2(endTime) if positionLabelsInput == "Right" graphic.pivotLabel.set_x(endTime) drawNewPivots(startTime) => newGraphics = array.new() for in pivotPointsArray levelSettings = graphicSettingsArray.get(index) if not na(coord) and levelSettings.showLevel lineEndTime = startTime + timeframe.in_seconds(pivotTimeframe) * 1000 * pivotYearMultiplier pivotLine = line.new(startTime, coord, lineEndTime, coord, xloc = xloc.bar_time, color=levelSettings.levelColor, width=linewidthInput) pivotLabel = label.new(x = positionLabelsInput == "Left" ? startTime : lineEndTime, y = coord, text = (showLabelsInput ? levelSettings.levelName + " " : "") + (showPricesInput ? "(" + str.tostring(coord, format.mintick) + ")" : ""), style = positionLabelsInput == "Left" ? label.style_label_right : label.style_label_left, textcolor = levelSettings.levelColor, color = #00000000, xloc=xloc.bar_time) newGraphics.push(pivotGraphic.new(pivotLine, pivotLabel)) drawnGraphics.add_row(array_id = newGraphics) if drawnGraphics.rows() > maxHistoricalPivotsInput oldGraphics = drawnGraphics.remove_row(0) for graphic in oldGraphics graphic.delete() localPivotDrawConditionStatic = not isDailyBasedInput and localPivotTimeframeChange securityPivotDrawConditionStatic = isDailyBasedInput and securityPivotCounter != securityPivotCounter var isMultiYearly = array.from("Biyearly", "Triyearly", "Quinquennially", "Decennially").includes(pivotAnchorInput) localPivotDrawConditionDeveloping = not isDailyBasedInput and time_close == time_close(pivotTimeframe) and not isMultiYearly securityPivotDrawConditionDeveloping = false if (securityPivotDrawConditionStatic or localPivotDrawConditionStatic) affixOldPivots(time) drawNewPivots(time) var FIRST_BAR_TIME = time if (barstate.islastconfirmedhistory and drawnGraphics.columns() == 0) if not na(securityPivots) and securityPivotCounter > 0 if isDailyBasedInput drawNewPivots(FIRST_BAR_TIME) else runtime.error("Not enough intraday data to calculate Pivot Points. Lower the Pivots Timeframe or turn on the 'Use Daily-based Values' option in the indicator settings.") else runtime.error("Not enough data to calculate Pivot Points. Lower the Pivots Timeframe in the indicator settings.")
Pine Script® インジケーター
NagsenKhadeの投稿
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1 Predictive Daily Volatility • Session Logic • High/Low Projection Indicator This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data. It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low. 🔍 What This Indicator Does 1. Volatility Regime Detection Each day is classified into: 🔴 High Volatility (trend continuation & expansion likely) 🟡 Normal Volatility 🔵 Low Volatility (chop, false breaks, mean-reversion common) The background color automatically adapts so you always know what environment you're trading in. 2. Session-Based High/Low Identification Different global sessions tend to create different market behaviors: Asia session frequently sets the LOW of day New York & Late US sessions frequently set the HIGH of day This indicator uses those probabilities to highlight potential turning points. 3. Potential High / Low of Day Projections The script plots: 🟢 Potential LOW of Day 🔴 Potential HIGH of Day These appear only when: Price hits the session-statistical turning zone Volatility conditions match Yesterday’s expansion or compression context agrees This keeps signals clean and prevents over-marking. 4. Clean Visuals Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for: Session scalpers Day traders Gold / NAS100 / FX intraday traders High-probability reversal traders 🧠 How It Works The engine combines: Daily range vs 20-day average Real-time intraday high/low formation Session-specific probability weighting Previous day expansion and volatility filters This results in highly reliable signals for: Fade trades Reversal setups Timing entries more accurately ✔️ Best Uses Identifying where the day’s range is likely to complete Avoiding trades during low-volatility compression days Detecting where the market is likely to turn during major sessions Using potential HIGH/LOW levels as take-profit zones Enhancing breakout or reversal strategies ⚠️ Disclaimer This indicator does not repaint, but it is not a standalone entry tool. It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy. Always combine with sound risk management.
Pine Script® インジケーター
APCapitalTradingの投稿
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range. It does not provide signals, alerts, entries, exits, predictions, or trade recommendations. Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure. All calculations are analytical, static, and based on fully closed candles. 🧠 How It Works (Core Logic Explained) OPE computes the following values from the completed prior daily candle: Prior-Day High Prior-Day Low Prior-Day Midpoint Displacement Range = High − Low This displacement range is used to generate symmetrical upward and downward reference zones. These levels do not update during the session. They refresh only once per day when a new daily candle closes. This ensures the indicator remains fully non-repainting and stable on every intraday chart. 📐 Reference Levels Generated Using the fixed prior-day displacement range, OPE plots: 1. BUY-Side Reference Map (Upward Bias) BUY Reference Entry BUY Reference Stop BUY T1 BUY T2 BUY T3 BUY T4 BUY T5 BUY T6 These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only. 2. SELL-Side Reference Map (Downward Bias) SELL Reference Entry SELL Reference Stop SELL T1 SELL T2 SELL T3 SELL T4 SELL T5 SELL T6 Again, these levels are not directives. They are mirrored displacement extensions below the prior-day midpoint. 📊 Pivot Zone & Bands The indicator includes optional visual layers derived from the same prior-day pivots: Pivot High–Low Zone Shading → shows the prior-day full range Pivot Midline → prior-day mid-price Outer Displacement Bands → extended contextual boundaries These are purely visual boundaries meant to improve market context. 🧾 Dashboard / HUD Explanation A compact on-chart HUD summarizes all values. It displays: Section | Information (All Historical) Prior-Day Pivots | High, Low, Mid, Range BUY Map | Entry, Stop, T1–T6 SELL Map | Entry, Stop, T1–T6 The HUD allows you to quickly review: Where the current price is relative to the previous day’s structure How far price is from each level Whether the session is operating inside or outside the prior-day displacement zones Everything shown is static, non-repainting , and for reference only . 📊 How to Analyze It ✔ 1. Contextual Awareness OPE helps users visually compare current intraday price to prior daily structure. You can observe whether price is: Inside yesterday’s high/low zone Above the prior-day displacement Below the prior-day displacement This offers a clearer understanding of daily context and volatility. ✔ 2. Structural Symmetry The BUY-side and SELL-side maps extend from the same pivot logic. This can help visualize: Expansion away from the prior-day midpoint Compression within the prior-day range Symmetrical displacement around key reference levels Again — these are observational insights , not signals. ✔ 3. Range Interaction As the session unfolds, users often study: How price reacts around prior-day midpoint Whether price is gravitating toward or away from the displacement levels How intraday swings behave within these historical boundaries This type of analysis is contextual , not predictive. ⚠️ Important Disclosures This script does NOT generate trading signals. It does NOT predict future price movement. It does NOT contain advice, instructions, recommendations, or strategies. All levels are derived exclusively from historical daily candle data . This is strictly an informational visualization tool meant to support chart analysis. Past price levels do not guarantee any future price behavior. 🛑 Disclaimer This indicator is provided solely for educational and informational purposes. It should not be interpreted as financial advice or a call to action of any kind. Users should apply independent judgment and discretion when analyzing markets.
Pine Script® インジケーター
darshaksscの投稿
The Strat Lite [rdjxyz]◆ OVERVIEW The Strat Lite is a stripped down version of the Strat Assistant indicator by rickyzcarroll—focusing on visual simplicity and script performance. If you're new to The Strat, you may prefer the Strat Assistant as a learning aid. ◇ FEATURES REMOVED FROM THE ORIGINAL SCRIPT Candle Numbering & Up/Down Arrows Previous Week High & Low Lines Previous Day High & Low Lines Action Wick Percentage Actionable Signals Plot Strat Combo Plots Extensive Alerts ◇ FEATURES KEPT FROM THE ORIGINAL SCRIPT Full Timeframe Continuity Candle Coloring ◇ FEATURES ADDED TO THE ORIGINAL SCRIPT Failed 2 Down Classification Failed 2 Up Classification ◆ DETAILS The Strat is a trading methodology developed by Rob Smith that offers an objective approach to trading by focusing on the 3 universal scenarios regarding candle behavior: SCENARIO ONE The 1 Bar - Inside Bar: A candle that doesn't take out the highs or the lows of the previous candle; aka consolidation. These are shown as gray candles by default. SCENARIO TWO The 2 Bar - Directional Bar: A candle that takes out one side of the previous candle; aka trending (or at least attempting to trend). SCENARIO THREE The 3 Bar - Outside Bar: A candle that takes out both sides of the previous candle; aka broadening formation. In addition to Rob's 3 universal scenarios, this indicator identifies two variations of 2 bars: Failed 2 up: A candle that takes out the high of the previous candle but closes bearish. Failed 2 down: A candle that takes out the low of the previous candle but closes bullish. ◆ SETTINGS ◇ INPUTS FTC (FULL TIMEFRAME CONTINUITY) Show/hide FTC plots Offset FTC plots from current bar ◇ STYLE STRAT COLORS Color 0 (Failed 2 Up) - Default is fuchsia Color 1 (Failed 2 Down) - Default is teal Color 2 (Inside 1) - Default is gray Color 3 (Outside 3) - Default is dark purple Color 4 (2 up) - Default is aqua Color 5 (2 down) - Default is white ◆ USAGE It's recommended to use The Strat Lite with a top down analysis so you can find lower timeframe positions with higher timeframe context. ◇ TOP DOWN ANALYSIS MONTHLY LEVELS Starting on a monthly chart, the previous month's high and low are manually plotted. WEEKLY LEVELS Dropping down to a weekly chart, the previous week's high and low are manually plotted. DAILY LEVELS Dropping down to a daily chart, the previous day's high and low are manually plotted. 12H LEVELS Dropping down to a 12h chart, the previous 12h's high and low are manually plotted. ANALYSIS The monthly low was broken, creating a lower low (aka a broadening formation), signalling potential exhaustion risk, which can be a catalyst for reversals. The daily candle that tested the monthly low closed as a Failed 2 Down—potentially an early sign of a reversal. With these 2 confluences, it's reasonable to expect the next daily candle to be a 2 Up. Now it's time to look for a lower timeframe entry. ◇ LOWER TIMEFRAME POSITION HOURLY PRICE ACTION Dropping down to an hourly chart, we're anticipating a 2 Up on the daily timeframe, so we're looking for a bullish pattern to enter a position long. I personally like the 6:00 AM UTC-5 hourly candle, as it's the midpoint of the day (for futures). In this specific example, we see the opening gap was filled and there's a potential 2-1-2 bullish reversal set up. At this point, price can either do one of 5 things: Form another 1 (inside) candle Form a 2 up (directional) candle Form a 2 down (directional) candle Form a 2 up, fail, and potentially flip to form a bearish 3 (outside) candle Form a 2 down, fail, and potentially flip to form a bullish 3 (outside) candle Knowing the finite potential outcomes helps us set up our positions, manage them accordingly, and flip bias if needed. POSITION SETUP Here we can set up a position long AND short. To go long, we set a buy stop at the 1h high and stop loss just below the 50% level of the inside candle; to go short, we set a sell stop at 1h low and stop loss just above the 50% level of the inside candle. If the short gets triggered first, we can wait for price to move in our favor before cancelling the buy order. If the short becomes a failed 2 down, potentially reversing to become a bullish 3, we can either wait for the stop loss to trigger and for the long position to trigger OR we can move the buy stop to our short stop loss and move the long stop loss to the low of the 1h candle. POSITION REFINEMENT For an even tighter risk-to-reward, we can drop to a lower timeframe and look for setups that would be an early trigger of the 1h entry. Just know, the lower you go the more noise there is—increasing risk of getting stopped out before the 1h trigger. Above are 30m refined entries. In this example, the long buy stop was triggered. It closed bullish, so the sell stop order can be cancelled. ◇ TARGETS & POSITION MANAGEMENT TARGETS These depend on whether you intend to scalp, day trade, or swing trade, but targets are typically the highs of previous candles (when bullish) and lows of previous candles (when bearish). It's advised to be cautious of swing pivots as there's a risk of exhaustion and reversal at these levels. In this example, the nearest target was the previous 12h high and the next target was the previous day high; if you're a swing trader, you could target previous week's high and previous month's high. POSITION MANAGEMENT This largely depends on your risk tolerance, but it's common to either: Move stop loss slightly into profit Trail stop loss behind higher highs (bullish) or lower lows (bearish) Scale out of positions at potential pivot points, leaving a runner Scale into positions on pullbacks on the way to target ◆ WRAP UP As demonstrated, The Strat Lite offers a stripped down version of the Strat Assistant—making it visually simple for more experienced Strat traders. By following a top-down approach with The Strat methodology, you can find high probability setups and manage risk with relative ease. ◆ DISCLAIMER This indicator is a tool for visual analysis and is intended to assist traders who follow The Strat methodology. As with any trading methodology, there's no guarantee of profits; trading involves a high degree of risk and you could lose all of your invested capital. The example shown is of past performance and is not indicative of future results and does not constitute and should not be construed as investment advice. All trading decisions and investments made by you are at your own discretion and risk. Under no circumstances shall the author be liable for any direct, indirect, or incidental damages. You should only risk capital you can afford to lose.
Pine Script® インジケーター
rdjxyzの投稿
Tactical Deviation🎯 TACTICAL DEVIATION - Volume-Backed VWAP Deviation Analysis What Makes This Different? Unlike basic VWAP indicators, Tactical Deviation combines: • Multi-timeframe VWAP deviation bands (Daily/Weekly/Monthly) • Volume spike intelligence - signals only appear with volume confirmation • Pivot reversal detection at deviation extremes • Optional multi-VWAP confluence system • Smart defaults for quality over quantity This unique combination filters weak setups and identifies high-probability entries at extreme price deviations from fair value. 📊 DEFAULT SETTINGS (Ready to Use) ✅ Daily VWAP with ±2σ deviation bands ✅ Volume spike detection (1.5x average required) ✅ 2σ minimum deviation for signals ❌ Weekly/Monthly VWAPs (enable for multi-timeframe) ❌ Pivot reversal requirement (enable for stronger signals) ❌ Fill zones (optional visual enhancement) Why: Daily VWAP is most relevant for intraday trading. 2σ bands catch meaningful moves. Volume spikes ensure conviction. Clean chart focuses on what matters. 🚀 HOW TO USE BASIC USAGE: • Green triangles (below bars) = Long signals at oversold deviations • Red triangles (above bars) = Short signals at overbought deviations SIGNAL QUALITY: • Normal size, bright colors = Volume spike (best quality) • Small size, lighter colors = Volume momentum • Tiny size = No volume confirmation DEVIATION ZONES: • ±2σ = Extreme deviation (signals appear here) • ±1σ to ±2σ = Extended but not extreme • Within ±1σ = Normal range TRADING APPROACHES: Mean Reversion: → Enter when price reaches ±2σ with volume spike → Target: Return to VWAP or opposite band → Stop: Beyond extreme deviation Trend Continuation: → Use bands to identify pullbacks → Enter pullback to VWAP in trending market → Volume confirms continuation Reversal Trading: → Enable "Require Pivot Reversal" for stronger signals → Signals only when deviation + pivot reversal occur → Higher probability, fewer signals ⚙️ EXPLORE SETTINGS FOR FULL USE VWAP SETTINGS: • Show Weekly/Monthly VWAP = Multi-timeframe context • Show ±1σ Bands = Normal deviation range • Show ±3σ Bands = Extreme extremes (rare but powerful) SIGNAL SETTINGS: • Min Deviation: 1σ (more signals) | 2σ (default) | 3σ (fewer, extreme only) • Require Pivot Reversal: OFF (default) | ON (stronger but fewer) • Volume Spike Threshold: 1.5x (default) | 2.0x+ (major spikes) | 1.2x (more signals) CONFLUENCE SETTINGS: • Require Multi-VWAP Confluence: OFF (default) | ON (2+ VWAPs must agree) • Min VWAPs: 2 (Daily + Weekly/Monthly) | 3 (all must agree) VISUAL SETTINGS: • Show Fill Zones = Shaded areas between bands • Fill Opacity = Transparency adjustment • Line Widths = Customize thickness 💡 PRO TIPS 1. Start with defaults, then enable features as you learn 2. Volume spike requirement filters weak moves - keep it enabled 3. Enable Weekly/Monthly VWAPs for higher timeframe context 4. Enable confluence for swing trading setups 5. Pivot reversals: ON for reversals, OFF for continuations 6. Check top-right info table for current deviation levels 🎨 VISUAL GUIDE • Cyan Line = Daily VWAP (fair value) • Cyan Bands = Daily deviation zones • Orange Line = Weekly VWAP (if enabled) • Purple Line = Monthly VWAP (if enabled) • Green Triangle = Long signal (oversold) • Red Triangle = Short signal (overbought) ⚠️ IMPORTANT Educational purposes only. Always use proper risk management. Signals are based on statistical deviation, not guarantees. Volume confirmation improves quality but doesn't guarantee outcomes. Combine with your own analysis. The unique combination of VWAP deviation analysis, volume profile confirmation, pivot identification, and multi-timeframe confluence in a single clean interface makes Tactical Deviation different from basic VWAP indicators. Happy Trading! 📈
Pine Script® インジケーター
RickyTSpanishの投稿
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
Pine Script® ストラテジー
Especulador96の投稿
2
Dynamic S&R Projector [Polarity Flip]Support and Resistance should not be static. It should tell a story. Most traders clutter their charts with manually drawn lines, often forgetting which ones were important or which timeframe they came from. This indicator automates the entire process of identifying market structure, adapting dynamically to your trading style while using Volume Price Analysis (VPA) to separate "Smart Money" levels from random noise. It combines three professional concepts into one tool: Multi-Timeframe Projection, Volume Strength Filtering, and Live Polarity Flipping. Who is this for? Day Traders: Project Daily levels onto your 1-minute or 5-minute charts. Stop trading in a vacuum; see the walls before you hit them. Swing Traders: Project Weekly levels onto your Daily chart to find major trend reversals. Investors: Project Monthly levels to identify multi-year accumulation zones. Core Features 1. Smart Timeframe (Auto-Detection) No more toggling settings. The indicator detects what chart you are viewing and automatically projects the next significant Higher Timeframe (HTF) structure: Viewing Intraday (< Daily)? → Projects Daily Pivots. Viewing Daily? → Projects Weekly Pivots. Viewing Weekly? → Projects Monthly Pivots. 2. VPA Strength Filtering (The "Truth" Serum) Not all levels are equal. This script grades every pivot based on the volume activity at the moment it was formed: Thick Solid Line: Formed on High Volume (>1.5x Average). This is an "Institutional Level." Expect hard bounces. Thin Dashed Line: Formed on Low Volume. This is a weak structure. 3. Live Polarity Flip (Support ↔ Resistance) The script monitors price action in real-time to respect the "Principle of Polarity." Wick Protection: The color change is based strictly on the Candle Close. If price wicks through a level but closes back inside, the line retains its original color (rejecting the fakeout). The Flip: Once price successfully closes past a level, the color instantly flips (Red becomes Green, or Green becomes Red) to indicate the new market state. How to Trade This Indicator (Example Strategies) Strategy A: The "Concrete Wall" Bounce (Day & Swing) Identify a Thick Green Line below the current price. This represents a Strong HTF Support defended by institutional volume. Action: Set Limit Buy orders at the line or wait for a bullish reversal candle (Hammer) to form at the touch. Strategy B: The "Paper Wall" Breakout (Momentum) Identify price approaching a Thin Dashed Red Line (Weak Resistance). Action: Since this level lacks volume backing, do not fade it. Look for a breakout setup as price is likely to slice through easily. Strategy C: The "Flip & Retest" (Trend Following) Watch for a Thick Red Line to turn Green. This means resistance has been conquered. Action: Wait for price to pull back to this new Green line. If it holds (the line stays Green), enter long. You are now using the "roof" as a "floor." Settings Guide Calculation Mode: Auto (Higher TF): The recommended "Smart" mode described above. Use Current Chart: Finds pivots on the exact timeframe you are viewing (good for scalping structure). Fixed Manual: Locks the projection to a specific timeframe (e.g., always show Daily). Pivot Lookback (Sensitivity): Default (10/10): Balances major and minor structure. Higher (20/20): Shows only the most critical major market turns. Max Number of Lines: Limits how many historical levels are shown to keep your chart clean. *********************************************************************************************** Disclaimer: This tool is for educational purposes and decision support. Past volume and price action do not guarantee future results. Always manage your risk.
Pine Script® インジケーター
ombvexx27の投稿
Mars Signals - Ultimate Institutional Suite v3.0(Joker)Comprehensive Trading Manual Mars Signals – Ultimate Institutional Suite v3.0 (Joker) ## Chapter 1 – Philosophy & System Architecture This script is not a simple “buy/sell” indicator. Mars Signals – UIS v3.0 (Joker) is designed as an institutional-style analytical assistant that layers several methodologies into a single, coherent framework. The system is built on four core pillars: 1. Smart Money Concepts (SMC) - Detection of Order Blocks (professional demand/supply zones). - Detection of Fair Value Gaps (FVGs) (price imbalances). 2. Smart DCA Strategy - Combination of RSI and Bollinger Bands - Identifies statistically discounted zones for scaling into spot positions or exiting shorts. 3. Volume Profile (Visible Range Simulation) - Distribution of volume by price, not by time. - Identification of POC (Point of Control) and high-/low-volume areas. 4. Wyckoff Helper – Spring - Detection of bear traps, liquidity grabs, and sharp bullish reversals. All four pillars feed into a Confluence Engine (Scoring System). The final output is presented in the Dashboard, with a clear, human-readable signal: - STRONG LONG 🚀 - WEAK LONG ↗ - NEUTRAL / WAIT - WEAK SHORT ↘ - STRONG SHORT 🩸 This allows the trader to see *how many* and *which* layers of the system support a bullish or bearish bias at any given time. ## Chapter 2 – Settings Overview ### 2.1 General & Dashboard Group - Show Dashboard Panel (`show_dash`) Turns the dashboard table in the corner of the chart ON/OFF. - Show Signal Recommendation (`show_rec`) - If enabled, the textual signal (STRONG LONG, WEAK SHORT, etc.) is displayed. - If disabled, you only see feature status (ON/OFF) and the current price. - Dashboard Position (`dash_pos`) Determines where the dashboard appears on the chart: - `Top Right` - `Bottom Right` - `Top Left` ### 2.2 Smart Money (SMC) Group - Enable SMC Strategy (`show_smc`) Globally enables or disables the Order Block and FVG logic. - Order Block Pivot Lookback (`ob_period`) Main parameter for detecting key pivot highs/lows (swing points). - Default value: 5 - Concept: A bar is considered a pivot low if its low is lower than the lows of the previous 5 and the next 5 bars. Similarly, a pivot high has a high higher than the previous 5 and the next 5 bars. These pivots are used as anchors for Order Blocks. - Increasing `ob_period`: - Fewer levels. - But levels tend to be more significant and reliable. - In highly volatile markets (major news, war events, FOMC, etc.), using values 7–10 is recommended to filter out weak levels. - Show Fair Value Gaps (`show_fvg`) Enables/disables the drawing of FVG zones (imbalances). - Bullish OB Color (`c_ob_bull`) - Color of Bullish Order Blocks (Demand Zones). - Default: semi-transparent green (transparency ≈ 80). - Bearish OB Color (`c_ob_bear`) - Color of Bearish Order Blocks (Supply Zones). - Default: semi-transparent red. - Bullish FVG Color (`c_fvg_bull`) - Color of Bullish FVG (upward imbalance), typically yellow. - Bearish FVG Color (`c_fvg_bear`) - Color of Bearish FVG (downward imbalance), typically purple. ### 2.3 Smart DCA Strategy Group - Enable DCA Zones (`show_dca`) Enables the Smart DCA logic and visual labels. - RSI Length (`rsi_len`) Lookback period for RSI (default: 14). - Shorter → more sensitive, more noise. - Longer → fewer signals, higher reliability. - Bollinger Bands Length (`bb_len`) Moving average period for Bollinger Bands (default: 20). - BB Multiplier (`bb_mult`) Standard deviation multiplier for Bollinger Bands (default: 2.0). - For extremely volatile markets, values like 2.5–3.0 can be used so that only extreme deviations trigger a DCA signal. ### 2.4 Volume Profile (Visible Range Sim) Group - Show Volume Profile (`show_vp`) Enables the simulated Volume Profile bars on the right side of the chart. - Volume Lookback Bars (`vp_lookback`) Number of bars used to compute the Volume Profile (default: 150). - Higher values → broader historical context, heavier computation. - Row Count (`vp_rows`) Number of vertical price segments (rows) to divide the total price range into (default: 30). - Width (%) (`vp_width`) Relative width of each volume bar as a percentage. In the code, bar widths are scaled relative to the row with the maximum volume. > Technical note: Volume Profile calculations are executed only on the last bar (`barstate.islast`) to keep the script performant even on higher timeframes. ### 2.5 Wyckoff Helper Group - Show Wyckoff Events (`show_wyc`) Enables detection and plotting of Wyckoff Spring events. - Volume MA Length (`vol_ma_len`) Length of the moving average on volume. A bar is considered to have Ultra Volume if its volume is more than 2× the volume MA. ## Chapter 3 – Smart Money Strategy (Order Blocks & FVG) ### 3.1 What Is an Order Block? An Order Block (OB) represents the footprint of large institutional orders: - Bullish Order Block (Demand Zone) The last selling region (bearish candle/cluster) before a strong upward move. - Bearish Order Block (Supply Zone) The last buying region (bullish candle/cluster) before a strong downward move. Institutions and large players place heavy orders in these regions. Typical price behavior: - Price moves away from the zone. - Later returns to the same zone to fill unfilled orders. - Then continues the larger trend. In the script: - If `pl` (pivot low) forms → a Bullish OB is created. - If `ph` (pivot high) forms → a Bearish OB is created. The box is drawn: - From `bar_index ` to `bar_index`. - Between `low ` and `high `. - `extend=extend.right` extends the OB into the future, so it acts as a dynamic support/resistance zone. - Only the last 4 OB boxes are kept to avoid clutter. ### 3.2 Order Block Color Guide - Semi-transparent Green (`c_ob_bull`) - Represents a Bullish Order Block (Demand Zone). - Interpretation: a price region with a high probability of bullish reaction. - Semi-transparent Red (`c_ob_bear`) - Represents a Bearish Order Block (Supply Zone). - Interpretation: a price region with a high probability of bearish reaction. Overlap (Multiple OBs in the Same Area) When two or more Order Blocks overlap: - The shared area appears visually denser/stronger. - This suggests higher order density. - Such zones can be treated as high-priority levels for entries, exits, and stop-loss placement. ### 3.3 Demand/Supply Logic in the Scoring Engine is_in_demand = low <= ta.lowest(low, 20) is_in_supply = high >= ta.highest(high, 20) - If current price is near the lowest lows of the last 20 bars, it is considered in a Demand Zone → positive impact on score. - If current price is near the highest highs of the last 20 bars, it is considered in a Supply Zone → negative impact on score. This logic complements Order Blocks and helps the Dashboard distinguish whether: - Market is currently in a statistically cheap (long-friendly) area, or - In a statistically expensive (short-friendly) area. ### 3.4 Fair Value Gaps (FVG) #### Concept When the market moves aggressively: - Some price levels are skipped and never traded. - A gap between wicks/shadows of consecutive candles appears. - These regions are called Fair Value Gaps (FVGs) or Imbalances. The market generally “dislikes” imbalance and often: - Returns to these zones in the future. - Fills the gap (rebalance). - Then resumes its dominant direction. #### Implementation in the Code Bullish FVG (Yellow) fvg_bull_cond = show_smc and show_fvg and low > high and close > high if fvg_bull_cond box.new(bar_index , high , bar_index, low, ...) Core condition: `low > high ` → the current low is above the high of two bars ago; the space between them is an untraded gap. Bearish FVG (Purple) fvg_bear_cond = show_smc and show_fvg and high < low and close < low if fvg_bear_cond box.new(bar_index , low , bar_index, high, ...) Core condition: `high < low ` → the current high is below the low of two bars ago; again a price gap exists. #### FVG Color Guide - Transparent Yellow (`c_fvg_bull`) – Bullish FVG Often acts like a magnet for price: - Price tends to retrace into this zone, - Fill the imbalance, - And then continue higher. - Transparent Purple (`c_fvg_bear`) – Bearish FVG Price tends to: - Retrace upward into the purple area, - Fill the imbalance, - And then resume downward movement. #### Trading with FVGs - FVGs are *not* standalone entry signals. They are best used as: - Targets (take-profit zones), or - Reaction areas where you expect a pause or reversal. Examples: - If you are long, a bearish FVG above is often an excellent take-profit zone. - If you are short, a bullish FVG below is often a good cover/exit zone. ### 3.5 Core SMC Trading Templates #### Reversal Long 1. Price trades down into a green Order Block (Demand Zone). 2. A bullish confirmation candle (Close > Open) forms inside or just above the OB. 3. If this zone is close to or aligned with a bullish FVG (yellow), the signal is reinforced. 4. Entry: - At the close of the confirmation candle, or - Using a limit order near the upper boundary of the OB. 5. Stop-loss: - Slightly below the OB. - If the OB is broken decisively and price consolidates below it, the zone loses validity. 6. Targets: - The next FVG, - Or the next red Order Block (Supply Zone) above. #### Reversal Short The mirror scenario: - Price rallies into a red Order Block (Supply). - A bearish confirmation candle forms (Close < Open). - FVG/premium structure above can act as a confluence. - Stop-loss goes above the OB. - Targets: lower FVGs or subsequent green OBs below. ## Chapter 4 – Smart DCA Strategy (RSI + Bollinger Bands) ### 4.1 Smart DCA Concept - Classic DCA = buying at fixed time intervals regardless of price. - Smart DCA = scaling in only when: - Price is statistically cheaper than usual, and - The market is in a clear oversold condition. Code logic: rsi_val = ta.rsi(close, rsi_len) = ta.bb(close, bb_len, bb_mult) dca_buy = show_dca and rsi_val < 30 and close < bb_lower dca_sell = show_dca and rsi_val > 70 and close > bb_upper Conditions: - DCA Buy – Smart Scale-In Zone - RSI < 30 → oversold. - Close < lower Bollinger Band → price has broken below its typical volatility envelope. - DCA Sell – Overbought/Distribution Zone - RSI > 70 → overbought. - Close > upper Bollinger Band → price is extended far above the mean. ### 4.2 Visual Representation on the Chart - Green “DCA” Label Below Candle - Shape: `labelup`. - Color: lime background, white text. - Meaning: statistically attractive level for laddered spot entries or short exits. - Red “SELL” Label Above Candle - Warning that the market is in an extended, overbought condition. - Suitable for profit-taking on longs or considering short entries (with proper confluence and risk management). - Light Green Background (`bgcolor`) - When `dca_buy` is true, the candle background turns very light green (high transparency). - This helps visually identify DCA Zones across the chart at a glance. ### 4.3 Practical Use in Trading #### Spot Trading Used to build a better average entry price: - Every time a DCA label appears, allocate a fixed portion of capital (e.g., 2–5%). - Combining DCA signals with: - Green OBs (Demand Zones), and/or - The Volume Profile POC makes the zone structurally more important. #### Futures Trading - Longs - Use DCA Buy signals as low-risk zones for opening or adding to longs when: - Price is inside a green OB, or - The Dashboard already leans LONG. - Shorts - Use DCA Sell signals as: - Exit zones for longs, or - Areas to initiate shorts with stops above structural highs. ## Chapter 5 – Volume Profile (Visible Range Simulation) ### 5.1 Concept Traditional volume (histogram under the chart) shows volume over time. Volume Profile shows volume by price level: - At which prices has the highest trading activity occurred? - Where did buyers and sellers agree the most (High Volume Nodes – HVNs)? - Where did price move quickly due to low participation (Low Volume Nodes – LVNs)? ### 5.2 Implementation in the Script Executed only when `show_vp` is enabled and on the last bar: 1. The last `vp_lookback` bars (default 150) are processed. 2. The minimum low and maximum high over this window define the price range. 3. This price range is divided into `vp_rows` segments (e.g., 30 rows). 4. For each row: - All bars are scanned. - If the mid-price `(high + low ) / 2` falls inside a row, that bar’s volume is added to the row total. 5. The row with the greatest volume is stored as `max_vol_idx` (the POC row). 6. For each row, a volume box is drawn on the right side of the chart. ### 5.3 Color Scheme - Semi-transparent Orange - The row with the maximum volume – the Point of Control (POC). - Represents the strongest support/resistance level from a volume perspective. - Semi-transparent Blue - Other volume rows. - The taller the bar → the higher the volume → the stronger the interest at that price band. ### 5.4 Trading Applications - If price is above POC and retraces back into it: → POC often acts as support, suitable for long setups. - If price is below POC and rallies into it: → POC often acts as resistance, suitable for short setups or profit-taking. HVNs (Tall Blue Bars) - Represent areas of equilibrium where the market has spent time and traded heavily. - Price tends to consolidate here before choosing a direction. LVNs (Short or Nearly Empty Bars) - Represent low participation zones. - Price often moves quickly through these areas – useful for targeting fast moves. ## Chapter 6 – Wyckoff Helper – Spring ### 6.1 Spring Concept In the Wyckoff framework: - A Spring is a false break of support. - The market briefly trades below a well-defined support level, triggers stop losses, then sharply reverses upward as institutional buyers absorb liquidity. This movement: - Clears out weak hands (retail sellers). - Provides large players with liquidity to enter long positions. - Often initiates a new uptrend. ### 6.2 Code Logic Conditions for a Spring: 1. The current low is lower than the lowest low of the previous 50 bars → apparent break of a long-standing support. 2. The bar closes bullish (Close > Open) → the breakdown was rejected. 3. Volume is significantly elevated: → `volume > 2 × volume_MA` (Ultra Volume). When all conditions are met and `show_wyc` is enabled: - A pink diamond is plotted below the bar, - With the label “Spring” – one of the strongest long signals in this system. ### 6.3 Trading Use - After a valid Spring, markets frequently enter a meaningful bullish phase. - The highest quality setups occur when: - The Spring forms inside a green Order Block, and - Near or on the Volume Profile POC. Entries: - At the close of the Spring bar, or - On the first pullback into the mid-range of the Spring candle. Stop-loss: - Slightly below the Spring’s lowest point (wick low plus a small buffer). ## Chapter 7 – Confluence Engine & Dashboard ### 7.1 Scoring Logic For each bar, the script: 1. Resets `score` to 0. 2. Adjusts the score based on different signals. SMC Contribution if show_smc if is_in_demand score += 1 if is_in_supply score -= 1 - Being in Demand → `+1` - Being in Supply → `-1` DCA Contribution if show_dca if dca_buy score += 2 if dca_sell score -= 2 - DCA Buy → `+2` (strong, statistically driven long signal) - DCA Sell → `-2` Wyckoff Spring Contribution if show_wyc if wyc_spring score += 2 - Spring → `+2` (entry of strong money) ### 7.2 Mapping Score to Dashboard Signal - score ≥ 2 → STRONG LONG 🚀 Multiple bullish conditions aligned. - score = 1 → WEAK LONG ↗ Some bullish bias, but only one layer clearly positive. - score = 0 → NEUTRAL / WAIT Rough balance between buying and selling forces; staying flat is usually preferable. - score = -1 → WEAK SHORT ↘ Mild bearish bias, suited for cautious or short-term plays. - score ≤ -2 → STRONG SHORT 🩸 Convergence of several bearish signals. ### 7.3 Dashboard Structure The dashboard is a two-column table: - Row 0 - Column 0: `"Mars Signals"` – black background, white text. - Column 1: `"UIS v3.0"` – black background, yellow text. - Row 1 - Column 0: `"Price:"` (light grey background). - Column 1: current closing price (`close`) with a semi-transparent blue background. - Row 2 - Column 0: `"SMC:"` - Column 1: - `"ON"` (green) if `show_smc = true` - `"OFF"` (grey) otherwise. - Row 3 - Column 0: `"DCA:"` - Column 1: - `"ON"` (green) if `show_dca = true` - `"OFF"` (grey) otherwise. - Row 4 - Column 0: `"Signal:"` - Column 1: signal text (`status_txt`) with background color `status_col` (green, red, teal, maroon, etc.) - If `show_rec = false`, these cells are cleared. ## Chapter 8 – Visual Legend (Colors, Shapes & Actions) For quick reading inside TradingView, the visual elements are described line by line instead of a table. Chart Element: Green Box Color / Shape: Transparent green rectangle Core Meaning: Bullish Order Block (Demand Zone) Suggested Trader Response: Look for longs, Smart DCA adds, closing or reducing shorts. Chart Element: Red Box Color / Shape: Transparent red rectangle Core Meaning: Bearish Order Block (Supply Zone) Suggested Trader Response: Look for shorts, or take profit on existing longs. Chart Element: Yellow Area Color / Shape: Transparent yellow zone Core Meaning: Bullish FVG / upside imbalance Suggested Trader Response: Short take-profit zone or expected rebalance area. Chart Element: Purple Area Color / Shape: Transparent purple zone Core Meaning: Bearish FVG / downside imbalance Suggested Trader Response: Long take-profit zone or temporary supply region. Chart Element: Green "DCA" Label Color / Shape: Green label with white text, plotted below the candle Core Meaning: Smart ladder-in buy zone, DCA buy opportunity Suggested Trader Response: Spot DCA entry, partial short exit. Chart Element: Red "SELL" Label Color / Shape: Red label with white text, plotted above the candle Core Meaning: Overbought / distribution zone Suggested Trader Response: Take profit on longs, consider initiating shorts. Chart Element: Light Green Background (bgcolor) Color / Shape: Very transparent light-green background behind bars Core Meaning: Active DCA Buy zone Suggested Trader Response: Treat as a discount zone on the chart. Chart Element: Orange Bar on Right Color / Shape: Transparent orange horizontal bar in the volume profile Core Meaning: POC – price with highest traded volume Suggested Trader Response: Strong support or resistance; key reference level. Chart Element: Blue Bars on Right Color / Shape: Transparent blue horizontal bars in the volume profile Core Meaning: Other volume levels, showing high-volume and low-volume nodes Suggested Trader Response: Use to identify balance zones (HVN) and fast-move corridors (LVN). Chart Element: Pink "Spring" Diamond Color / Shape: Pink diamond with white text below the candle Core Meaning: Wyckoff Spring – liquidity grab and potential major bullish reversal Suggested Trader Response: One of the strongest long signals in the suite; look for high-quality long setups with tight risk. Chart Element: STRONG LONG in Dashboard Color / Shape: Green background, white text in the Signal row Core Meaning: Multiple bullish layers in confluence Suggested Trader Response: Consider initiating or increasing longs with strict risk management. Chart Element: STRONG SHORT in Dashboard Color / Shape: Red background, white text in the Signal row Core Meaning: Multiple bearish layers in confluence Suggested Trader Response: Consider initiating or increasing shorts with a logical, well-placed stop. ## Chapter 9 – Timeframe-Based Trading Playbook ### 9.1 Timeframe Selection - Scalping - Timeframes: 1M, 5M, 15M - Objective: fast intraday moves (minutes to a few hours). - Recommendation: focus on SMC + Wyckoff. Smart DCA on very low timeframes may introduce excessive noise. - Day Trading - Timeframes: 15M, 1H, 4H - Provides a good balance between signal quality and frequency. - Recommendation: use the full stack – SMC + DCA + Volume Profile + Wyckoff + Dashboard. - Swing Trading & Position Investing - Timeframes: Daily, Weekly - Emphasis on Smart DCA + Volume Profile. - SMC and Wyckoff are used mainly to fine-tune swing entries within larger trends. ### 9.2 Scenario A – Scalping Long Example: 5-Minute Chart 1. Price is declining into a green OB (Bullish Demand). 2. A candle with a long lower wick and bullish close (Pin Bar / Rejection) forms inside the OB. 3. A Spring diamond appears below the same candle → very strong confluence. 4. The Dashboard shows at least WEAK LONG ↗, ideally STRONG LONG 🚀. 5. Entry: - On the close of the confirmation candle, or - On the first pullback into the mid-range of that candle. 6. Stop-loss: - Slightly below the OB. 7. Targets: - Nearby bearish FVG above, and/or - The next red OB. ### 9.3 Scenario B – Day-Trading Short Recommended Timeframes: 1H or 4H 1. The market completes a strong impulsive move upward. 2. Price enters a red Order Block (Supply). 3. In the same zone, a purple FVG appears or remains unfilled. 4. On a lower timeframe (e.g., 15M), RSI enters overbought territory and a DCA Sell signal appears. 5. The main timeframe Dashboard (1H) shows WEAK SHORT ↘ or STRONG SHORT 🩸. Trade Plan - Open a short near the upper boundary of the red OB. - Place the stop above the OB or above the last swing high. - Targets: - A yellow FVG lower on the chart, and/or - The next green OB (Demand) below. ### 9.4 Scenario C – Swing / Investment with Smart DCA Timeframes: Daily / Weekly 1. On the daily or weekly chart, each time a green “DCA” label appears: - Allocate a fixed fraction of your capital (e.g., 3–5%) to that asset. 2. Check whether this DCA zone aligns with the orange POC of the Volume Profile: - If yes → the quality of the entry zone is significantly higher. 3. If the DCA signal sits inside a daily green OB, the probability of a medium-term bottom increases. 4. Always build the position laddered, never all-in at a single price. Exits for investors: - Near weekly red OBs or large purple FVG zones. - Ideally via partial profit-taking rather than closing 100% at once. ### 9.5 Case Study 1 – BTCUSDT (15-Minute) - Context: Price has sold off down towards 65,000 USD. - A green OB had previously formed at that level. - Near the lower boundary of this OB, a partially filled yellow FVG is present. - As price returns to this region, a Spring appears. - The Dashboard shifts from NEUTRAL / WAIT to WEAK LONG ↗. Plan - Enter a long near the OB low. - Place stop below the Spring low. - First target: a purple FVG around 66,200. - Second (optional) target: the first red OB above that level. ### 9.6 Case Study 2 – Meme Coin (PEPE – 4H) - After a strong pump, price enters a corrective phase. - On the 4H chart, RSI drops below 30; price breaks below the lower Bollinger Band → a DCA label prints. - The Volume Profile shows the POC at approximately the same level. - The Dashboard displays STRONG LONG 🚀. Plan - Execute laddered buys in the combined DCA + POC zone. - Place a protective stop below the last significant swing low. - Target: an expected 20–30% upside move towards the next red OB or purple FVG. ## Chapter 10 – Risk Management, Psychology & Advanced Tuning ### 10.1 Risk Management No signal, regardless of its strength, replaces risk control. Recommendations: - In futures, do not expose more than 1–3% of account equity to risk per trade. - Adjust leverage to the volatility of the instrument (lower leverage for highly volatile altcoins). - Place stop-losses in zones where the idea is clearly invalidated: - Below/above the relevant Order Block or Spring, not randomly in the middle of the structure. ### 10.2 Market-Specific Parameter Tuning - Calmer Markets (e.g., major FX pairs) - `ob_period`: 3–5. - `bb_mult`: 2.0 is usually sufficient. - Highly Volatile Markets (Crypto, news-driven assets) - `ob_period`: 7–10 to highlight only the most robust OBs. - `bb_mult`: 2.5–3.0 so that only extreme deviations trigger DCA. - `vol_ma_len`: increase (e.g., to ~30) so that Spring triggers only on truly exceptional volume spikes. ### 10.3 Trading Psychology - STRONG LONG 🚀 does not mean “risk-free”. It means the probability of a successful long, given the model’s logic, is higher than average. - Treat Mars Signals as a confirmation and context system, not a full replacement for your own decision-making. - Example of disciplined thinking: - The Dashboard prints STRONG LONG, - But price is simultaneously testing a multi-month macro resistance or a major negative news event is imminent, - In such cases, trade smaller, widen stops appropriately, or skip the trade. ## Chapter 11 – Technical Notes & FAQ ### 11.1 Does the Script Repaint? - Order Blocks and Springs are based on completed pivot structures and confirmed candles. - Until a pivot is confirmed, an OB does not exist; after confirmation, behavior is stable under classic SMC assumptions. - The script is designed to be structurally consistent rather than repainting signals arbitrarily. ### 11.2 Computational Load of Volume Profile - On the last bar, the script processes up to `vp_lookback` bars × `vp_rows` rows. - On very low timeframes with heavy zooming, this can become demanding. - If you experience performance issues: - Reduce `vp_lookback` or `vp_rows`, or - Temporarily disable Volume Profile (`show_vp = false`). ### 11.3 Multi-Timeframe Behavior - This version of the script is not internally multi-timeframe. All logic (OB, DCA, Spring, Volume Profile) is computed on the active timeframe only. - Practical workflow: - Analyze overall structure and key zones on higher timeframes (4H / Daily). - Use lower timeframes (15M / 1H) with the same tool for timing entries and exits. ## Conclusion Mars Signals – Ultimate Institutional Suite v3.0 (Joker) is a multi-layer trading framework that unifies: - Price structure (Order Blocks & FVG), - Statistical behavior (Smart DCA via RSI + Bollinger), - Volume distribution by price (Volume Profile with POC, HVN, LVN), - Liquidity events (Wyckoff Spring), into a single, coherent system driven by a transparent Confluence Scoring Engine. The final output is presented in clear, actionable language: > STRONG LONG / WEAK LONG / NEUTRAL / WEAK SHORT / STRONG SHORT The system is designed to support professional decision-making, not to replace it. Used together with strict risk management and disciplined execution, Mars Signals – UIS v3.0 (Joker) can serve as a central reference manual and operational guide for your trading workflow, from scalping to swing and investment positioning.
Pine Script® インジケーター
MarsSignalsの投稿