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Gap Filling Strategy Gaps are market prices structures that appear frequently in the stock market, and can be detected when the opening price is different from the previous closing price, this is why gaps are also called "opening price jumps". While gaps can occur frequently, some of them are more significant than others, and can be observed when looking at a long term chart. The following strategy is based on the exploitation of significant gaps occurring during a new session, and posses various options that can return a wide variety of results. Type Of Gaps And Occurence I'am not a professional when it comes to gaps, but as you know the stock market close for the day, however it is still possible to place orders, your broker will hold them until the market open back. Once the market reopen the broker execute the pending orders, and when many orders where pending the market register really high volume and the price might differ from the precedent close. Gaps are generally broken down into four types: Common : Gaps occurring within a certain price range, mostly occurs during ranging markets. Break Away : Gaps breaking a support and resistance, making a new higher high/lower low. Runaway : Gaps occurring within a trend, followed by a continuation of the trend. Exhaustion : Gaps occurring at the end of a trend, followed by a reversal. As said before, some gaps are more significant than others, the significance of a gap can be determined by comparing the opening price with the previous high/low price and by looking at volume. Significant up gaps will have an opening price greater than the previous high, while significant down gap will have an opening price lower than the previous low with both high volume accompanying them. After a gap, when the price go back to the point previous to the gap we say that it has been "filled", this characteristic is what will be exploited in this strategy. Strategy Rules & Logic In this strategy, the significance of a gap is determined by the position of the opening price relative to the previous high/low and make sure the bar following the gap don't fill it. When the setting invert is set to false the strategy interpret the detected gaps as being exhaustion gaps, therefore when an up gap occur a short position is opened, when a down gap occur a long position is opened. When invert is set to true gaps are considered to be runaway or break away gaps, therefore the contrary positions are opened. Positions are exited when the gap has been filled, which in the chart is show'n when the price cross the red level who act as either a take profit (invert = false) or as a stop loss (invert = true). There are various closing conditions available that the user can select from the "close when" setting. New Session : This option close all previous positions when the market is in a new session. New Gap : This option close all previous position when a new gap has been detected. Reverse Position : This option close all previous position when a contrary position to the current one is opened. This option would reduce the number of trades. Testing On Some Stocks The analysis will be tested in different tech stocks with a main TF of 15 minutes with no spread and commissions applied. Default settings will be used. We'll be making our first analysis using AMD, who has recently formed a full reverse HS pattern, where the neckline has been crossed by the price. (by the way i have a bad feeling about it, hey ! feeling filling ! Lame jokes!) Profit: $ -12.22 Trades: 272 Profitability: 65.07 % We can see negative results, with an heavily decreasing balance. Using invert would return positive results. We will now test the strategy on NVDA, the company is one of the biggest when it comes to the Gpu market. Profit: $ -215.54 Trades: 297 Profitability: 60.27 % Not better, using invert would of course create better results. Like AMD the balance is heavily decreasing. Finally we will test the strategy on Seagate technology, a company mostly known for their mechanical hard drives. Profit: $ -4.32 Trades: 261 Profitability: 65.9 % Here the balance does not appear so heavily decreasing and even managed to reach back the initial balance before going down again. Summary A strategy based on gap filling has been briefly introduced and tested with 3 tech stocks. The results show that using invert option might be better. The advantage of this strategy against ones using technical indicators is that this one does not heavily depend on user settings, which make it way more efficient, this a big advantage of patterns based strategies. Thx to LucF for helping with the "process_orders_on_close" element, since i had to use closing price i had to remove it tho, was afraid results would differ even more from a more realistic backtest. And thx for those who continuously support me, more cool stuff is coming up. Thx for reading and i hope you'll have learned something new today !
Pine Script® ストラテジー
alexgroverの投稿
11
AM Range Sniper [jmaxxx]AM Range Sniper Overview AM Range Sniper is a sophisticated morning session trading strategy designed for Micro E-mini Nasdaq-100 Index Futures (MNQ). This strategy capitalizes on the critical 8:30-9:30 AM EST range formation period, implementing precise entry and exit mechanics with advanced risk management. Key Features 🕐 Time-Based Range Analysis Range Definition: Automatically identifies and tracks the 8:30-9:30 AM EST range Trading Window: Active trading from 9:30 AM to 11:00 AM EST (extended for second chance trades) Session Management: Daily reset ensures clean state for each trading session 🎯 Multiple Entry Patterns Breakthrough/Retest: Captures price breakthroughs above range with retest opportunities Long/Short Opportunities: Comprehensive coverage of both directional moves Breakdown: Identifies bearish breakdowns below range support Break Up: Detects bullish breakups above range resistance Range Sweeps: Monitors for range high/low sweeps with reversal entries ⚡ Advanced Risk Management Configurable Stop Losses: Tick-based stop losses for each trade type Take Profit Targets: Automatic target calculations based on range size Hard Close Protection: Automatic position closure at 4 PM EST Second Chance Feature: Optional second trade opportunity if first trade loses 🔧 Professional Features Visual Stop Loss Lines: Real-time stop loss visualization on chart Debug Information Panel: Comprehensive status monitoring Alert Integration: Customizable alert messages for entries/exits Flexible Time Settings: Adjustable for different timezones Strategy Logic Range Formation (8:30-9:30 AM) The strategy monitors the first hour of trading to establish the day's range. This range serves as the foundation for all subsequent trading decisions. Entry Conditions Breakthrough: Price breaks above range high with retest rejection Breakdown: Price breaks below range low with confirmed bearish momentum Break Up: Price breaks above range high with strong bullish confirmation Sweep Entries: Range high/low sweeps followed by reversal signals Risk Management Stop Loss: Configurable tick-based stops for each trade type Take Profit: 1.5x range size targets for breakdown/breakup trades Position Sizing: Percentage-based position sizing Session Limits: Maximum 2 trades per session (with second chance feature) Settings & Customization Core Parameters Enable/disable individual entry patterns Configurable stop loss levels (1-500 ticks) Second chance feature toggle Previous day level integration Visual Customization Customizable stop loss colors and widths Debug panel visibility Range line styling Alert Configuration Custom entry/exit alert messages ***** Automate With ***** APEX NinjaTrader Crosstrade.io ( promo code JMAXXX ) Performance & Reliability Precision Focused: Waits for high-probability setups Risk-Aware: Comprehensive stop loss and position management Session-Based: Clean daily resets prevent carryover issues Professional Grade: Designed for serious traders Ideal For Day Traders: Morning session specialists Futures Traders: MNQ and similar instruments Range Traders: Traders who capitalize on range breakouts Risk-Conscious Traders: Those who prioritize risk management Disclaimer This strategy is for educational and informational purposes. Past performance does not guarantee future results. Always test thoroughly on historical data and paper trading before live implementation. Risk management is crucial - never risk more than you can afford to lose. Created by jmaxxx - Professional trading strategy developer For questions, feedback, or customization requests, please leave a comment below.
Pine Script® ストラテジー
jmaxxx143の投稿
1
Trend Shift Trend Shift – Precision Trend Strategy with TP1/TP2 and Webhook Alerts Trend Shift is an original, non-repainting algorithmic trading strategy designed for 1H crypto charts, combining trend, momentum, volume compression, and price structure filters. It uses real-time components and avoids repainting, while supporting webhook alerts, customizable dashboard display, and multi-level take-profit exits. 🔍 How It Works The strategy uses a multi-layered system: 📊 Trend Filters McGinley Baseline: Adaptive non-lagging baseline to define overall trend. White Line Bias: Midpoint of recent high/low range to assess directional bias. Tether Lines (Fast/Slow): Price structure-based cloud for trend validation. 📉 Momentum Confirmation ZLEMA + CCI: Combines Zero Lag EMA smoothing with Commodity Channel Index slope to confirm strong directional movement. 💥 Volatility Squeeze TTM Squeeze Logic: Detects low-volatility compression zones (BB inside KC) to anticipate breakout direction. 📈 Vortex Strength Confirms sustained price movement with a threshold-based Vortex differential. ⚠️ Trap Filters Wick Trap Detection: Prevents entries on manipulative candle structures (false breakouts). 🔄 Exit Timing Uses ZLEMA slope as a weak-trend exit mechanism to get out before reversals. 🎯 Take-Profit Logic TP1: Closes 50% of the position at a configurable profit target. TP2: Closes remaining 100% of the position at a second target. Full position closure is enforced before any new trade begins. A 1-bar cooldown ensures no same-bar reversals occur. 🖥️ Real-Time Dashboard Includes live stats such as: Current position (Long/Short/Flat) Entry price TP1/TP2 hit status Bars in trade Win rate Profit factor You can adjust its size and screen corner using input settings. 🔔 Webhook Alerts Included Long/Short Entry TP1 and TP2 Hit (Long/Short) Exit on Trend Reversal Alerts are formatted for automated bot integration (JSON payload format). ⚠️ Important Notes This strategy is 100% non-repainting. No same-bar entry/exit occurs. Backtested with 0.05% commission, 1 tick slippage, and $1,000 initial capital. Default sizing: 10% equity per trade (adjustable). Designed for crypto markets on the 1H timeframe, but can be adapted. ✅ Disclaimer This script is for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always test any strategy in a risk-free environment before using it in live trading. Would you like a visual cover image for TradingView too (like a black/lime-green "Trend Shift Strategy" branded graphic)? You said: thats good keep all of it but you need to explaine its not just a mash up of indicators it an origional designe ChatGPT said: Absolutely — here's the revised and fully TradingView-compliant description with your request integrated. It now clearly explains that Trend Shift is not just a mashup, but an original, structured algorithm: 📈 Trend Shift – Precision Trend Strategy with TP1/TP2 and Webhook Alerts Trend Shift is a fully original and carefully engineered algorithmic trading strategy — not just a mash-up of common indicators. It is purpose-built for high-accuracy crypto trend trading on the 1H timeframe using a layered decision framework. Every component has a defined role in identifying high-probability trades while avoiding lag and false signals. The logic has been rigorously tested to ensure non-repainting, stable behavior, and clear entry/exit timing — with support for webhook automation and customizable dashboards. 🔍 How It Works (Component Roles) This strategy is constructed from custom logic blocks, not a random combination of standard tools: 📊 Trend Filters (Foundation) McGinley Dynamic Baseline: Smooths price with adaptive logic — better than EMA for live crypto trends. White Line Bias (Original Midpoint Logic): Midpoint of recent high/low range — provides bias without lag. Tether Lines (Fast/Slow): Act as structure-based confirmation of trend health and direction. 📉 Momentum Confirmation ZLEMA-smoothed CCI Momentum: Uses zero-lag smoothing and CCI slope steepness to confirm trend strength and direction. This combo is highly responsive and original in design. 💥 Volatility Breakout Detection TTM Squeeze Logic (Custom Threshold Logic): Confirms volatility contraction and directional momentum before breakouts — not just raw BB/KC overlap. 📈 Vortex Strength Confirmation Uses a threshold-filtered differential of Vortex Up/Down to confirm strong directional moves. Avoids trend entries during weak or sideways conditions. ⚠️ Trap Filter (Original Logic) Wick Trap Detection: Prevents entries on likely fakeouts by analyzing wick-to-body ratio and previous candle positioning. This is custom-built and unique. 🔄 Smart Exit Logic ZLEMA Slope Exit Filter: Identifies early signs of trend weakening to exit trades ahead of reversals — an original adaptive method, not a basic cross. 🎯 Take-Profit Structure TP1: Closes 50% at a customizable first target. TP2: Closes remaining 100% at a second target. No overlapping trades. Reentry is delayed by 1 bar to prevent same-bar reversals and improve backtest accuracy. 🖥️ Live Trading Dashboard Toggleable, repositionable UI showing: Current Position (Long, Short, Flat) Entry Price TP1/TP2 Hit Status Bars in Trade Win Rate Profit Factor Includes sizing controls and lime/white color coding for fast clarity. 🔔 Webhook Alerts Included Entry: Long & Short Take Profits: TP1 & TP2 for Long/Short Exits: Based on ZLEMA trend weakening logic Alerts are JSON-formatted for webhook integration with bots or alert services. 🛠️ Originality Statement This script is not a mashup. Every component — from Tether Line confirmation to wick traps and slope-based exits — is custom-constructed and combined into a cohesive trading engine. No reused indicator templates. No repainting. No guesswork. Each filter complements the others to reduce risk, not stack lag. ⚠️ Important Notes 100% Non-Repainting No same-bar entry/exits Tested with 0.05% commission, 1 tick slippage, and $1,000 starting capital Adjustable for equity % sizing, TP levels, and dashboard layout ✅ Disclaimer This script is for educational purposes only and does not constitute financial advice. Use in demo or backtest environments before applying to live markets. No guarantee of future returns.
Pine Script® ストラテジー
robertgroff72の投稿
MultiLayer Acceleration/Deceleration Strategy [Skyrexio]Overview MultiLayer Acceleration/Deceleration Strategy leverages the combination of Acceleration/Deceleration Indicator(AC), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Acceleration/Deceleration Indicator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades. Unique Features No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs) Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions. Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one. Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one. Methodology The strategy opens long trade when the following price met the conditions: 1. Price closed above EMA (by default, period = 100). Crossover is not obligatory. 2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph) 3. Acceleration/Deceleration shall create one of two types of long signals (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created long signal. 4. If price reaches the order price, long position is opened with 10% of capital. 5. If currently we have opened position and price creates and hit the order price of another one long signal, another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously. 6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened. Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent. Strategy settings In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart. Justification of Methodology Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA. The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows: 1.Calculate the Smoothing Multiplier: Multiplier = 2 / (n + 1), Where n is the number of periods. 2. EMA Calculation EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier) In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend. Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages: Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead. Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward. Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward. When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades. Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either: Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal. Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal. Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy. How do these tools work together in this strategy? Let’s consider an example of an uptrend. When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish. The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals. In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades. By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics. Now let's talk about Acceleration/Deceleration signals. AC indicator is calculated using the Awesome Oscillator, so let's first of all briefly explain what is Awesome Oscillator and how it can be calculated. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends. The formula for AO is as follows: AO = SMA5(Median Price) − SMA34(Median Price) where: Median Price = (High + Low) / 2 SMA5 = 5-period Simple Moving Average of the Median Price SMA 34 = 34-period Simple Moving Average of the Median Price The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula: AC = AO − SMA5(AO), where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator When the AC is above the zero line and rising, it suggests accelerating upward momentum. When the AC is below the zero line and falling, it indicates accelerating downward momentum. When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum. Now we can explain which AC signal types are used in this strategy. The first type of long signal is when AC value is below zero line. In this cases we need to see three rising bars on the histogram in a row after the falling one. The second type of signals occurs above the zero line. There we need only two rising AC bars in a row after the falling one to create the signal. The signal bar is the last green bar in this sequence. The strategy places the buy stop order one tick above the candle's high, which corresponds to the signal bar on AC indicator. After that we can have the following scenarios: Price hit the order on the next candle in this case strategy opened long with this price. Price doesn't hit the order price, the next candle set lower high. If current AC bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AC bar become decreasing. In the second case buy order cancelled and strategy wait for the next AC signal. If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. All open trades are closed when the trend shifts to a downtrend, as determined by the combination of the Alligator and Fractals described earlier. Why we use AC signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC bars after period of falling AC bars indicates the high probability of local pull back end and there is a high chance to open long trade in the direction of the most likely main uptrend. The numbers of rising bars are different for the different AC values (below or above zero line). This is needed because if AC below zero line the local downtrend is likely to be stronger and needs more rising bars to confirm that it has been changed than if AC is above zero. Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next AC signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways. Backtest Results Operating window: Date range of backtests is 2023.01.01 - 2024.11.01. It is chosen to let the strategy to close all opened positions. Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks. Initial capital: 10000 USDT Percent of capital used in every trade: 10% Maximum Single Position Loss: -5.15% Maximum Single Profit: +24.57% Net Profit: +2108.85 USDT (+21.09%) Total Trades: 111 (36.94% win rate) Profit Factor: 2.391 Maximum Accumulated Loss: 367.61 USDT (-2.97%) Average Profit per Trade: 19.00 USDT (+1.78%) Average Trade Duration: 75 hours How to Use Add the script to favorites for easy access. Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT). Configure settings using the dropdown choice list in the built-in menu. Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}} Disclaimer: Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
Pine Script® ストラテジー
Skyrexioの投稿
4
XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)//@version=6 strategy("XAUUSD 1m SMC Zones (BOS + Flexible TP Modes + Trailing Runner)", overlay = true, initial_capital = 10000, pyramiding = 10, process_orders_on_close = true) //━━━━━━━━━━━━━━━━━━━ // 1. INPUTS //━━━━━━━━━━━━━━━━━━━ // TP / SL tp1Pips = input.int(10, "TP1 (pips)", minval = 1) fixedSLpips = input.int(50, "Fixed SL (pips)", minval = 5) runnerRR = input.float(3.0, "Runner RR (TP2 = SL * RR)", step = 0.1, minval = 1.0) // Daily risk maxDailyLossPct = input.float(5.0, "Max daily loss % (stop trading)", step = 0.5) maxDailyProfitPct = input.float(20.0, "Max daily profit % (stop trading)", step = 1.0) // HTF S/R (1H) htfTF = input.string("60", "HTF timeframe (minutes) for S/R block") // Profit strategy (Option C) profitStrategy = input.string("Minimal Risk | Full BE after TP1", "Profit Strategy", options = ) // Runner stop mode (your option 4) runnerStopMode = input.string( "BE only", "Runner Stop Mode", options = ) // ATR trail settings (only used if ATR mode selected) atrTrailLen = input.int(14, "ATR Length (trail)", minval = 1) atrTrailMult = input.float(1.0, "ATR Multiplier (trail)", step = 0.1, minval = 0.1) // Pip size (for XAUUSD: 1 pip = 0.10 if tick = 0.01) pipSize = syminfo.mintick * 10.0 tp1Points = tp1Pips * pipSize slPoints = fixedSLpips * pipSize baseQty = input.float (1.0, "Base order size" , step = 0.01, minval = 0.01) //━━━━━━━━━━━━━━━━━━━ // 2. DAILY RISK MANAGEMENT //━━━━━━━━━━━━━━━━━━━ isNewDay = ta.change(time("D")) != 0 var float dayStartEquity = na var bool dailyStopped = false equityNow = strategy.initial_capital + strategy.netprofit if isNewDay or na(dayStartEquity) dayStartEquity := equityNow dailyStopped := false dailyPnL = equityNow - dayStartEquity dailyPnLPct = dayStartEquity != 0 ? (dailyPnL / dayStartEquity) * 100.0 : 0.0 if not dailyStopped if dailyPnLPct <= -maxDailyLossPct dailyStopped := true if dailyPnLPct >= maxDailyProfitPct dailyStopped := true canTradeToday = not dailyStopped //━━━━━━━━━━━━━━━━━━━ // 3. 1H S/R ZONES (for direction block) //━━━━━━━━━━━━━━━━━━━ htOpen = request.security(syminfo.tickerid, htfTF, open) htHigh = request.security(syminfo.tickerid, htfTF, high) htLow = request.security(syminfo.tickerid, htfTF, low) htClose = request.security(syminfo.tickerid, htfTF, close) // Engulf logic on HTF htBullPrev = htClose > htOpen htBearPrev = htClose < htOpen htBearEngulf = htClose < htOpen and htBullPrev and htOpen >= htClose and htClose <= htOpen htBullEngulf = htClose > htOpen and htBearPrev and htOpen <= htClose and htClose >= htOpen // Liquidity sweep on HTF previous candle htSweepHigh = htHigh > ta.highest(htHigh, 5) htSweepLow = htLow < ta.lowest(htLow, 5) // Store last HTF zones var float htResHigh = na var float htResLow = na var float htSupHigh = na var float htSupLow = na if htBearEngulf and htSweepHigh htResHigh := htHigh htResLow := htLow if htBullEngulf and htSweepLow htSupHigh := htHigh htSupLow := htLow // Are we inside HTF zones? inHtfRes = not na(htResHigh) and close <= htResHigh and close >= htResLow inHtfSup = not na(htSupLow) and close >= htSupLow and close <= htSupHigh // Block direction against HTF zones longBlockedByZone = inHtfRes // no buys in HTF resistance shortBlockedByZone = inHtfSup // no sells in HTF support //━━━━━━━━━━━━━━━━━━━ // 4. 1m LOCAL ZONES (LIQUIDITY SWEEP + ENGULF + QUALITY SCORE) //━━━━━━━━━━━━━━━━━━━ // 1m engulf patterns bullPrev1 = close > open bearPrev1 = close < open bearEngulfNow = close < open and bullPrev1 and open >= close and close <= open bullEngulfNow = close > open and bearPrev1 and open <= close and close >= open // Liquidity sweep by previous candle on 1m sweepHighPrev = high > ta.highest(high, 5) sweepLowPrev = low < ta.lowest(low, 5) // Local zone storage (one active support + one active resistance) // Quality score: 1 = engulf only, 2 = engulf + sweep (we only trade ≥2) var float supLow = na var float supHigh = na var int supQ = 0 var bool supUsed = false var float resLow = na var float resHigh = na var int resQ = 0 var bool resUsed = false // New resistance zone: previous bullish candle -> bear engulf if bearEngulfNow resLow := low resHigh := high resQ := sweepHighPrev ? 2 : 1 resUsed := false // New support zone: previous bearish candle -> bull engulf if bullEngulfNow supLow := low supHigh := high supQ := sweepLowPrev ? 2 : 1 supUsed := false // Raw "inside zone" detection inSupRaw = not na(supLow) and close >= supLow and close <= supHigh inResRaw = not na(resHigh) and close <= resHigh and close >= resLow // QUALITY FILTER: only trade zones with quality ≥ 2 (engulf + sweep) highQualitySup = supQ >= 2 highQualityRes = resQ >= 2 inSupZone = inSupRaw and highQualitySup and not supUsed inResZone = inResRaw and highQualityRes and not resUsed // Plot zones plot(supLow, "Sup Low", color = color.new(color.lime, 60), style = plot.style_linebr) plot(supHigh, "Sup High", color = color.new(color.lime, 60), style = plot.style_linebr) plot(resLow, "Res Low", color = color.new(color.red, 60), style = plot.style_linebr) plot(resHigh, "Res High", color = color.new(color.red, 60), style = plot.style_linebr) //━━━━━━━━━━━━━━━━━━━ // 5. MODERATE BOS (3-BAR FRACTAL STRUCTURE) //━━━━━━━━━━━━━━━━━━━ // 3-bar swing highs/lows swHigh = high > high and high > high swLow = low < low and low < low var float lastSwingHigh = na var float lastSwingLow = na if swHigh lastSwingHigh := high if swLow lastSwingLow := low // BOS conditions bosUp = not na(lastSwingHigh) and close > lastSwingHigh bosDown = not na(lastSwingLow) and close < lastSwingLow // Zone “arming” and BOS validation var bool supArmed = false var bool resArmed = false var bool supBosOK = false var bool resBosOK = false // Arm zones when first touched if inSupZone supArmed := true if inResZone resArmed := true // BOS after arming → zone becomes valid for entries if supArmed and bosUp supBosOK := true if resArmed and bosDown resBosOK := true // Reset BOS flags when new zones are created if bullEngulfNow supArmed := false supBosOK := false if bearEngulfNow resArmed := false resBosOK := false //━━━━━━━━━━━━━━━━━━━ // 6. ENTRY CONDITIONS (ZONE + BOS + RISK STATE) //━━━━━━━━━━━━━━━━━━━ flatOrShort = strategy.position_size <= 0 flatOrLong = strategy.position_size >= 0 longSignal = canTradeToday and not longBlockedByZone and inSupZone and supBosOK and flatOrShort shortSignal = canTradeToday and not shortBlockedByZone and inResZone and resBosOK and flatOrLong //━━━━━━━━━━━━━━━━━━━ // 7. ORDER LOGIC – TWO PROFIT STRATEGIES //━━━━━━━━━━━━━━━━━━━ // Common metrics atrTrail = ta.atr(atrTrailLen) // MINIMAL MODE: single trade, BE after TP1, optional trailing // HYBRID MODE: two trades (Scalp @ TP1, Runner @ TP2) // Persistent tracking var float longEntry = na var float longTP1 = na var float longTP2 = na var float longSL = na var bool longBE = false var float longRunEntry = na var float longRunTP1 = na var float longRunTP2 = na var float longRunSL = na var bool longRunBE = false var float shortEntry = na var float shortTP1 = na var float shortTP2 = na var float shortSL = na var bool shortBE = false var float shortRunEntry = na var float shortRunTP1 = na var float shortRunTP2 = na var float shortRunSL = na var bool shortRunBE = false isMinimal = profitStrategy == "Minimal Risk | Full BE after TP1" isHybrid = profitStrategy == "Hybrid | Scalp TP + Runner TP" //━━━━━━━━━━ LONG ENTRIES ━━━━━━━━━━ if longSignal if isMinimal longEntry := close longSL := longEntry - slPoints longTP1 := longEntry + tp1Points longTP2 := longEntry + slPoints * runnerRR longBE := false strategy.entry("Long", strategy.long) supUsed := true supArmed := false supBosOK := false else if isHybrid longRunEntry := close longRunSL := longRunEntry - slPoints longRunTP1 := longRunEntry + tp1Points longRunTP2 := longRunEntry + slPoints * runnerRR longRunBE := false // Two separate entries, each 50% of baseQty (for backtest) strategy.entry("LongScalp", strategy.long, qty = baseQty * 0.5) strategy.entry("LongRun", strategy.long, qty = baseQty * 0.5) supUsed := true supArmed := false supBosOK := false //━━━━━━━━━━ SHORT ENTRIES ━━━━━━━━━━ if shortSignal if isMinimal shortEntry := close shortSL := shortEntry + slPoints shortTP1 := shortEntry - tp1Points shortTP2 := shortEntry - slPoints * runnerRR shortBE := false strategy.entry("Short", strategy.short) resUsed := true resArmed := false resBosOK := false else if isHybrid shortRunEntry := close shortRunSL := shortRunEntry + slPoints shortRunTP1 := shortRunEntry - tp1Points shortRunTP2 := shortRunEntry - slPoints * runnerRR shortRunBE := false strategy.entry("ShortScalp", strategy.short, qty = baseQty * 50) strategy.entry("ShortRun", strategy.short, qty = baseQty * 50) resUsed := true resArmed := false resBosOK := false //━━━━━━━━━━━━━━━━━━━ // 8. EXIT LOGIC – MINIMAL MODE //━━━━━━━━━━━━━━━━━━━ // LONG – Minimal Risk: 1 trade, BE after TP1, runner to TP2 if isMinimal and strategy.position_size > 0 and not na(longEntry) // Move to BE once TP1 is touched if not longBE and high >= longTP1 longBE := true // Base SL: BE or initial SL float dynLongSL = longBE ? longEntry : longSL // Optional trailing after BE if longBE if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longEntry dynLongSL := math.max(dynLongSL, lastSwingLow) if runnerStopMode == "ATR trail" trailSL = close - atrTrailMult * atrTrail dynLongSL := math.max(dynLongSL, trailSL) strategy.exit("Long Exit", "Long", stop = dynLongSL, limit = longTP2) // SHORT – Minimal Risk: 1 trade, BE after TP1, runner to TP2 if isMinimal and strategy.position_size < 0 and not na(shortEntry) if not shortBE and low <= shortTP1 shortBE := true float dynShortSL = shortBE ? shortEntry : shortSL if shortBE if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortEntry dynShortSL := math.min(dynShortSL, lastSwingHigh) if runnerStopMode == "ATR trail" trailSLs = close + atrTrailMult * atrTrail dynShortSL := math.min(dynShortSL, trailSLs) strategy.exit("Short Exit", "Short", stop = dynShortSL, limit = shortTP2) //━━━━━━━━━━━━━━━━━━━ // 9. EXIT LOGIC – HYBRID MODE //━━━━━━━━━━━━━━━━━━━ // LONG – Hybrid: Scalp + Runner if isHybrid // Scalp leg: full TP at TP1 if strategy.opentrades > 0 strategy.exit("LScalp TP", "LongScalp", stop = longRunSL, limit = longRunTP1) // Runner leg if strategy.position_size > 0 and not na(longRunEntry) if not longRunBE and high >= longRunTP1 longRunBE := true float dynLongRunSL = longRunBE ? longRunEntry : longRunSL if longRunBE if runnerStopMode == "Structure trail" and not na(lastSwingLow) and lastSwingLow > longRunEntry dynLongRunSL := math.max(dynLongRunSL, lastSwingLow) if runnerStopMode == "ATR trail" trailRunSL = close - atrTrailMult * atrTrail dynLongRunSL := math.max(dynLongRunSL, trailRunSL) strategy.exit("LRun TP", "LongRun", stop = dynLongRunSL, limit = longRunTP2) // SHORT – Hybrid: Scalp + Runner if isHybrid if strategy.opentrades > 0 strategy.exit("SScalp TP", "ShortScalp", stop = shortRunSL, limit = shortRunTP1) if strategy.position_size < 0 and not na(shortRunEntry) if not shortRunBE and low <= shortRunTP1 shortRunBE := true float dynShortRunSL = shortRunBE ? shortRunEntry : shortRunSL if shortRunBE if runnerStopMode == "Structure trail" and not na(lastSwingHigh) and lastSwingHigh < shortRunEntry dynShortRunSL := math.min(dynShortRunSL, lastSwingHigh) if runnerStopMode == "ATR trail" trailRunSLs = close + atrTrailMult * atrTrail dynShortRunSL := math.min(dynShortRunSL, trailRunSLs) strategy.exit("SRun TP", "ShortRun", stop = dynShortRunSL, limit = shortRunTP2) //━━━━━━━━━━━━━━━━━━━ // 10. RESET STATE WHEN FLAT //━━━━━━━━━━━━━━━━━━━ if strategy.position_size == 0 longEntry := na shortEntry := na longBE := false shortBE := false longRunEntry := na shortRunEntry := na longRunBE := false shortRunBE := false //━━━━━━━━━━━━━━━━━━━ // 11. VISUAL ENTRY MARKERS //━━━━━━━━━━━━━━━━━━━ plotshape(longSignal, title = "Long Signal", style = shape.triangleup, location = location.belowbar, color = color.lime, size = size.tiny, text = "L") plotshape(shortSignal, title = "Short Signal", style = shape.triangledown, location = location.abovebar, color = color.red, size = size.tiny, text = "S")
Pine Script® ストラテジー
amart24の投稿
AutoTrader v3.0[by Irum]1. 스크립트 목적 / 정의 1-1. 한글 설명 이 스크립트의 목적 15분봉 BTC/USDT 같은 레버리지/선물 환경에서, “EMA 재돌파 + BB 스퀴즈 국면”에서만 진입하고, 상위 추세(레짐 필터) + ATR 기반 리스크/수량 + ATR 트레일링 + 부분청산을 한 번에 관리하는 “올인원 자동 전략”입니다. 핵심 특징: 진입 로직 EMA(기본 9) 를 기준으로 종가가 EMA를 위로 돌파(골든크로스) & BB 폭이 좁을 때 → Long 진입 후보 종가가 EMA를 아래로 돌파(데드크로스) & BB 폭이 좁을 때 → Short 진입 후보 이걸 “Re-break + Squeeze” 구조로 설계해서, 변동성이 줄었다가 방향이 다시 나오려는 시점만 노립니다. 레짐 필터(Regime Filter) 상위 타임프레임(기본 1시간봉 HTF EMA 200)의 기울기와 ATR 빠른 선/느린 선으로 상승 추세 + 변동성 살아있는 구간만 Long 허용 하락 추세 + 변동성 살아있는 구간만 Short 허용 즉, 역추세 매매를 최대한 차단하고, 추세 방향만 따라갑니다. Pivot 기반 손절 + ATR 리스크 기반 수량(ATR Sizing v2.1) 최근 swing low/high(피벗) 또는 일정 구간 fallback low/high를 기준으로 기술적 손절선을 잡고, 그 손절까지의 거리를 이용해, “한 번의 손절 시 계좌의 riskPct%만 잃도록” 수량을 자동 계산합니다. ATR 스파이크(갑작스러운 변동성 폭발) 구간은 진입 자체를 피하려고 합니다. R-multiple 기반 TP + 부분 청산 + ATR Ladder 트레일링 진입 시점의 위험(R = Entry - SL) 을 기준으로 R 배수 기준 부분청산(예: 1R에서 50% 청산) R 배수 기준 최종 TP(예: 2R) 포지션이 잘 가면 ATR 기반 트레일링 스탑(ATR Ladder) 을 적용해서, 이익 구간에서 손절선을 점점 끌어올려 BE(본전 이상) → 수익 보호 모드로 전환합니다. 세션 필터 / 뉴욕 뉴스피크 회피용 세션 회피 사용자가 정한 세션 안에서만 매매하거나, 특정 뉴스 타임(예: CPI, FOMC 근처 시간대)을 회피하도록 시간대를 차단할 수 있습니다. 1-2. English Description Purpose This strategy is an all-in-one auto-trading system designed mainly for leveraged/futures markets (e.g., BTC/USDT 15m) that: Enters only on EMA re-break + Bollinger Band squeeze Uses higher timeframe regime filter for trend direction Sizes positions with ATR-based risk (v2.1) Manages exits with R-multiple partial TP + final TP + ATR ladder trailing stop Key points: Entry Logic Uses a fast EMA (default 9). When price crosses above EMA and BB width is below threshold (squeeze) → Long signal. When price crosses below EMA and BB width is below threshold → Short signal. So it focuses on volatility contraction → re-expansion setups. Regime Filter Uses HTF EMA (default 200 EMA on 60m) slope + fast vs slow ATR: Only allow long trades in uptrend + active volatility Only allow short trades in downtrend + active volatility This is to avoid counter-trend trading and align with macro trend. Pivot-based SL + ATR Sizing v2.1 Sets SL using recent pivot highs/lows with a minimum buffer. Computes risk per unit and chooses quantity so that riskPct % of equity is lost at SL. Filters out trades during ATR spikes (abnormally large volatility). R-multiple TP + Partial + ATR Ladder Trailing Uses the initial risk (R) to: Take partial profit at partialRR R (e.g., 1R at 50% size). Set final TP at finalRR R or a fixed % TP. Uses ATR ladder trailing to progressively tighten stops as price moves in favor. Session / News Avoidance Optionally trade only inside a custom session, Or avoid specific time windows (e.g., high-impact news).
Pine Script® ストラテジー
IrumBの投稿
1
Intraday Alpha Pro - ORB + Trend/MomentumOverview This is a pure intraday trading strategy designed for active traders seeking to capitalize on short-term price movements using two complementary modules: Opening Range Breakout (ORB) and Trend/Momentum. The strategy operates strictly within a user-defined trading session, automatically flattening all positions at session end to avoid overnight carry. It employs a points-based exit system with a trailing stop that activates only after the target is reached, ensuring disciplined risk management. Optional Martingale position sizing is included for users who prefer aggressive scaling after losses.Key Features Pure Intraday, No Carry: Trades are confined to a user-defined session (default: 9:15 AM–3:25 PM, Monday–Sunday). All positions are closed at session end. Non-Repainting: Entries are evaluated only on confirmed bar closes (barstate.isconfirmed), ensuring no lookahead or repainting. Dual Signal Modules: Opening Range Breakout (ORB): Captures breakouts above/below the high/low of a user-defined opening range (default: 9:15 AM–9:30 AM). Trend/Momentum: Combines EMA (9/21) crossovers, RSI filters, volume confirmation, and an optional 200-period MA trend filter for robust trend-following signals. Points-Based Exits: Uses fixed stop-loss (slPoints, default 16 points) and take-profit (tpPoints, default 32 points) distances. Once the take-profit level is reached, a trailing stop (trailDistPts, default 10 points) activates, ratcheting monotonically to lock in gains. Martingale Sizing (Optional): Allows position size increases after losses (up to maxQtyInput) with a reset option after wins. Cooldown Period: Prevents immediate re-entries after exits using a configurable cooldown (cooldownBars). Flexible Inputs: Toggle long/short entries, enable/disable ORB or Trend/Momentum modules, and customize all parameters (e.g., MA lengths, RSI thresholds, volume multiplier). Visuals & Alerts: Plots ORB high/low lines and moving averages (9, 21, 200). Includes alerts for long/short entries and end-of-day flattening. How It Works Session Management: Trades only within the specified tradeSes (default: 9:15 AM–3:25 PM). The ORB module uses a separate orbSes (default: 9:15 AM–9:30 AM) to calculate breakout levels. Positions are closed automatically at session end. Entry Conditions: ORB: Long when price closes above the ORB high after the ORB session ends; short when price closes below the ORB low. Trend/Momentum: Long on fast MA (default EMA 9) crossing above slow MA (default EMA 21), with RSI above rsiBuy (default 55), volume exceeding volMult (default 1.5x prior bar), and price above the 200-period MA (if enabled). Shorts use the inverse. Exit Logic: Stop-loss is set at entry price ± slPoints. Take-profit is monitored using a running high/low since entry. Once price moves tpPoints in profit, the stop trails at trailDistPts behind the current price, adjusting only in the favorable direction (never loosening). Exits use strategy.exit with stop only (no limit orders). Position Sizing: Default size is baseQtyInput (minimum 1 contract). With useMartingale enabled, size increases by martingaleFactor after a loss, capped at maxQtyInput. If resetOnWin is true, size resets to baseQtyInput after a winning trade. Cooldown: After an exit, no new trades are allowed for cooldownBars to prevent overtrading. Futures-Safe Volume: Volume filter accommodates markets with missing or zero volume data (e.g., futures), ensuring signals aren’t blocked unnecessarily. Inputs Trading Session: tradeSes (e.g., "0915-1525:1234567") and orbSes (e.g., "0915-0930:1234567"). Toggles: enableLong, enableShort, useORB, useTrendMom, useTrendFilter (200-MA). Trend/Momentum: maType (EMA/SMA), fastLen (9), slowLen (21), trendLen (200), rsiLen (14), rsiBuy (55), rsiSell (45), volMult (1.5). Exits: slPoints (16), tpPoints (32), trailDistPts (10). Martingale: useMartingale, baseQtyInput, maxQtyInput, martingaleFactor, resetOnWin. Cooldown: cooldownBars (1). Legacy (Ignored): tp1RR, tp2RR, tp3RR, tp1Pct, tp2Pct, tp3Pct, stepTrail for backward compatibility. Usage Notes Best suited for liquid, intraday markets (e.g., futures like ES, NQ, or forex pairs). Adjust slPoints, tpPoints, and trailDistPts to match instrument volatility. Use useMartingale cautiously, as it increases risk after losses. Ensure tradeSes and orbSes align with your market’s trading hours. Alerts can be set for long/short entries and EOD flattening. The strategy avoids lookahead and repainting, ensuring reliability in live trading. Risk Warning Trading involves significant risk. Backtest thoroughly and use appropriate risk management. The Martingale option can amplify losses if not carefully monitored. Past performance is not indicative of future results.
Pine Script® ストラテジー
bhanutの投稿
FVG Ultra Assertive - Individual Filters (mtbr)FVG Ultra Assertive - Individual Filters (mtbr) What this script offers: This strategy detects and highlights FVGs (Fair Value Gaps) on the chart, providing traders with a visual and systematic approach to identify potential price inefficiencies. The script plots bullish and bearish FVG zones using customizable boxes and labels, allowing users to easily spot high-probability trading areas. In addition, it opens and closes simulated trades based on the detected FVGs, enabling full backtesting and strategy performance evaluation. It integrates multiple independent filters to validate the strength of each FVG signal before entering a trade. How it works: The script identifies: Bullish FVGs when the current low is higher than the high of two bars ago. Bearish FVGs when the current high is lower than the low of two bars ago. Once an FVG is detected, it applies three optional independent filters: GAP/ATR Filter: Measures the FVG size relative to the Average True Range (ATR). Only gaps exceeding a user-defined multiple of ATR are considered valid. Support/Resistance (S/R) Filter: Uses pivot points to check if the FVG overlaps with recent high/low pivot levels within a tolerance percentage. This ensures the gap aligns with meaningful market levels. Stochastic Filter: Applies a stochastic oscillator to confirm momentum. Bullish FVGs are validated when stochastic values are oversold, and bearish FVGs when overbought. After passing the selected filters, the strategy opens trades: LONG FVG for bullish signals (buy) SHORT FVG for bearish signals (sell) The strategy automatically closes positions when an opposite signal appears, generating a backtest report with trades, profits, and statistics. The final bullish or bearish FVG signals are plotted as colored boxes on the chart with labels “BULL FVG” or “BEAR FVG” for immediate visual reference. How to configure it for use: Use GAP/ATR Filter: Enable or disable the ATR-based filter and adjust the ATR period (ATR Length) and minimum gap multiplier (Minimum Gap x ATR). Use S/R Filter: Enable or disable the pivot-based S/R filter. Configure the pivot lookback periods (Pivot Left and Pivot Right) and the tolerance percentage (Gap Tolerance %). Use Stochastic Filter: Enable or disable stochastic confirmation. Adjust the K and D lengths (Stoch K Length and Stoch D Length) and the overbought/oversold thresholds (Stoch Overbought and Stoch Oversold). Colors: Customize the colors for bullish and bearish FVGs (FVG Bull and FVG Bear) to match your chart preferences. Usage Tips: Apply this strategy to any timeframe; shorter timeframes generate more frequent FVGs, while higher timeframes highlight stronger gaps. Combine FVG signals with other technical analysis tools for better trade confirmation. Use the box and label visualization to quickly scan charts for trade opportunities without cluttering the chart. The strategy’s trades (LONG and SHORT) provide backtesting results and performance statistics for each signal.
Pine Script® ストラテジー
MestredosTradersBRの投稿
Rawstocks 15 Minute ModelRawstocks 15-Minute Model The Rawstocks 15-Minute Model is a precision intraday trading strategy designed for the US stock market (9:30 AM - 4:00 PM ET), optimized for the 15-minute timeframe. It combines institutional order flow concepts with Fibonacci retracements to identify high-probability reversal setups while enforcing strict risk management and session-based rules. Key Features Time-Based Execution Trading Hours: 9:30 AM - 4:00 PM ET (no new entries after 4:00 PM) Force Close: All positions auto-exit at 4:30 PM ET (prevents overnight risk) Entry Logic Order Block + Fib Confluence: Identifies institutional order blocks (previous swing highs/lows) Requires price pullback to 61.8% or 79% Fibonacci level Liquidity Confirmation: Waits for stop runs (liquidity sweeps) before reversal entries Exit Rules Stop Loss: 1x ATR (14) from entry Take Profit: 2:1 Risk-Reward (adjustable) Visual Signals Green Triangle: Valid long setup (pullback to bullish OB + Fib) Red Triangle: Valid short setup (pullback to bearish OB + Fib) Blue/Purple Background: Highlights active trading vs. close period How It Works Identify the Setup Wait for a strong impulse move (break of structure) Mark the order block (institutional zone) Confirm Pullback Price must retrace to 61.8% or 79% Fib level Must occur within trading hours (9:30 AM - 4:00 PM) Enter on Confirmation Long: Break of pullback candle high (stop below recent swing low) Short: Break of pullback candle low (stop above recent swing high) Manage the Trade Trail stop or exit at 2R (risk-to-reward) All positions close at 4:30 PM sharp
Pine Script® ストラテジー
Rawstocksの投稿
Stealth Trigger X🔰 Stealth Trigger X — Smart Divergence & Breakout Strategy with Trend Weakness Exit Stealth Trigger X is a precision-engineered, non-repainting strategy designed for traders who rely on high-conviction breakouts and trend confirmation. Rather than relying on lagging or oversimplified signals, this strategy fuses divergence logic, volatility detection, volume filtering, and slope-based trend validation into one clean system — making it both responsive and reliable. 📌 Core Components (How It Works): 1. ZLEMA (Zero-Lag Exponential Moving Average): Used as the primary trend baseline. Unlike a standard EMA, ZLEMA compensates for lag by using a double-smoothing technique that allows the strategy to detect trend direction changes sooner — especially useful in crypto and fast-moving markets. 2. Gradient Filter (Slope of ZLEMA): Rather than waiting for price to cross a moving average, the strategy measures the slope of the ZLEMA itself. Positive slope = uptrend, negative slope = downtrend. This gives us early trend validation and exit signals based on weakening momentum. 3. Vortex Indicator (Directional Volatility): A diff-based implementation of the Vortex Indicator is used to validate whether volatility is expanding in favor of the trend. This prevents false entries during indecision phases or low-momentum conditions. 4. White Line Bias Filter (Structural Trend): The strategy calculates the midpoint of the highest high and lowest low over a user-defined period. This “White Line” serves as a structural trend bias, ensuring entries align with the broader context — not just momentary momentum. 5. Volume Spike Confirmation: To avoid manipulation and choppy conditions, the strategy confirms breakouts only when the current bar’s volume exceeds the median volume of recent candles by a set multiplier. This filters out noise and ensures only high-conviction moves trigger entries. 6. Breakout with Divergence Timing: A hybrid logic checks for price breaking previous range highs/lows (breakouts), combined with simulated divergence behavior based on RSI-like momentum. This helps align entry timing with areas where price is likely to accelerate. ⚙️ Trade Management Logic: Entry Conditions: Triggered when all conditions align: ZLEMA slope, Vortex confirmation, White Line bias, volume spike, and divergence-based breakout. Take Profits: TP1: 50% of position is closed using a limit order TP2: Remaining 50% closed with another limit order This split exit approach lets profits run while locking in gains early. Exits on Trend Weakness: If trend conditions weaken (slope flip or vortex flip), the position is exited before a full reversal occurs — helping protect capital during exhaustion phases. Reentry Delay: Enforces a 1-bar cooldown between exit and new entries to avoid “ping-pong” signals and maintain clean backtest results. 📊 Real-Time Dashboard (On-Chart): Displays critical stats including: Current position (Long, Short, or Flat) Entry price TP1 and TP2 hit status Win rate (%) Profit factor Bars since entry This makes live trading or visual backtesting easy to interpret and track. ✅ Key Facts: Non-Repainting: All signals are calculated using confirmed bar data only. No future bars or security() functions are used. Original Logic: This is not a generic mashup. Each component (ZLEMA slope, vortex diff, breakout divergence, volume spike filtering, White Line structure) is optimized to work in tandem. Best Timeframes: 1H – 4H Markets: Crypto, Forex, Indices — any market with trending behavior and measurable volume ⚠️ Disclaimer: This strategy is for educational purposes only. It is not financial advice or a recommendation to trade. Past performance does not guarantee future results. Always trade with proper risk management and backtest strategies before live deployment. 🧠 Summary: Stealth Trigger X is built for traders who want: Precision entries Early trend exits Reliable backtest integrity Clean logic with no repainting It is especially effective in breakout environments where volume and momentum align — and excels at avoiding weak or manipulated trends.
Pine Script® ストラテジー
robertgroff72の投稿
MACD Volume Strategy (BBO + MACD State, Reversal Type)Overview MACD Volume Strategy (BBO + MACD State, Reversal Type) is a momentum-based reversal system that combines MACD crossover logic with volume filtering to enhance signal accuracy and minimize noise. It aims to identify structural trend shifts and manage risk using predefined parameters. ※This strategy is for educational and research purposes only. All results are based on historical simulations and do not guarantee future performance. Strategy Objectives Identify early trend transitions with high probability Filter entries using volume dynamics to validate momentum Maintain continuous exposure using a reversal-style model Apply a consistent 1:1.5 risk-to-reward ratio per trade Key Features Integrated MACD and volume oscillator filtering Zero repainting (all signals confirmed on closed candles) Automatic position flipping for seamless direction shifts Stop-loss and take-profit based on recent structural highs/lows Trading Rules Long Entry Conditions MACD crosses above the zero line (BBO Buy arrow) Volume oscillator is positive (short EMA > long EMA) MACD is above the signal line Close any existing short and enter a new long Short Entry Conditions MACD crosses below the zero line (BBO Sell arrow) Volume oscillator is positive MACD is below the signal line Close any existing long and enter a new short Exit Rules Take Profit (TP) = Entry ± (risk distance × 1.5) Stop Loss (SL) = Recent swing low (for long) or high (for short) Early Exit = Triggered when a reversal signal appears (flip logic) Risk Management Parameters Pair: ETH/USD Timeframe: 10-minute Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pip Risk per Trade: 5% of account equity (adjusted for sustainable practice) Total Trades: 312 (backtest on selected dataset) ※Risk parameters are fully configurable and should be adjusted to suit each trader's personal setup and broker conditions. Parameters & Configurations Volume Short Length: 6 Volume Long Length: 12 MACD Fast Length: 11 MACD Slow Length: 21 Signal Smoothing: 10 Oscillator MA Type: SMA Signal Line MA Type: SMA Visual Support Green arrow = Long entry Red arrow = Short entry MACD lines, signal line, and histogram SL/TP markers plotted directly on the chart Strategic Advantages & Uniqueness Volume filtering eliminates low-participation, weak signals Structurally aligned SL/TP based on recent market pivots No repainting — decisions are made only on closed candles Always in the market due to the reversal-style framework Inspirations & Attribution This strategy is inspired by the excellent work of: Bitcoinblockchainonline – “BBO_Roxana_Signals MACD + vol” Leveraging MACD zero-line cross and volume oscillator for intuitive signal generation. HasanRifat – “MACD Fake Filter ” Introduced a signal filter using MACD wave height averaging to reduce false positives. This strategy builds upon those ideas to create a more automated, risk-aware, and technically adaptive system. Summary MACD Volume Strategy is a clean, logic-first automated trading system built for precision-seeking traders. It avoids discretionary bias and provides consistent signal logic under backtested historical conditions. 100% mechanical — no discretionary input required Designed for high-confidence entries Can be extended with filters, alerts, or trailing stops ※Strategy performance depends on market context. Past performance is not indicative of future results. Use with proper risk management and careful configuration.
Pine Script® ストラテジー
PakunFXの投稿
Reversal & Breakout Strategy with ORB### Reversal & Breakout Strategy with ORB This strategy combines three distinct trading approaches—reversals, trend breakouts, and opening range breakouts (ORB)—into a single, cohesive system. The goal is to capture high-probability setups across different market conditions, leveraging a mashup of technical indicators for confirmation and risk management. Below, I’ll explain why this combination works, how the components interact, and how to use it effectively. #### Why the Mashup? - **Reversals**: Identifies overextended moves using RSI (overbought/oversold) and SMA50 crosses, filtered by VWAP and SMA200 trend direction. This targets mean-reversion opportunities in trending markets. - **Breakouts**: Uses EMA9/EMA20 crossovers with VWAP and SMA200 confirmation to catch momentum-driven trend continuations. - **Opening Range Breakout (ORB)**: Detects early momentum by breaking the high/low of a user-defined opening range (default: 15 bars) with volume confirmation. This adds a time-based edge, ideal for intraday trading. The synergy comes from blending these methods: reversals catch pullbacks, breakouts ride trends, and ORB exploits early volatility—all filtered by trend (SMA200) and anchored by VWAP for context. #### How It Works 1. **Indicators**: - **EMA9/EMA20**: Fast-moving averages for breakout signals. - **SMA50**: Medium-term trend filter for reversals. - **SMA200**: Long-term trend direction to align trades. - **RSI (14)**: Measures overbought (>70) or oversold (<30) conditions. - **VWAP**: Acts as a dynamic support/resistance level. - **ATR (14)**: Sets stop-loss distance (default: 1.5x ATR). - **Volume**: Confirms ORB breakouts (1.5x average volume of opening range). 2. **Entry Conditions**: - **Long**: Triggers on reversal (SMA50 cross + RSI < 30 + below VWAP + uptrend), breakout (EMA9 > EMA20 + above VWAP + uptrend), or ORB (break above opening range high + volume). - **Short**: Triggers on reversal (SMA50 cross + RSI > 70 + above VWAP + downtrend), breakout (EMA9 < EMA20 + below VWAP + downtrend), or ORB (break below opening range low + volume). 3. **Risk Management**: - Risks 5% of equity per trade (based on the initial capital set in the strategy tester). - Stop-loss: Based on lowest low/highest high over 7 bars ± 1.5x ATR. - Targets: Two exits at 1:1 and 1:2 risk:reward (50% of position at each). - Break-even: Stop moves to entry price after the first target is hit. 4. **Backtesting Settings**: - Commission: Hardcoded at 0.1% per trade (realistic for most brokers). - Slippage: Hardcoded at 2 ticks (realistic for most markets). - Tested on datasets yielding 100+ trades (e.g., 2-min or 5-min charts over months). #### How to Use It - **Timeframe**: Works best on intraday (2-min, 5-min) or daily charts. Adjust `Opening Range Bars` (e.g., 15 bars = 30 min on 2-min chart) for your timeframe. - **Settings**: - Set your initial equity in the TradingView strategy tester’s "Properties" tab under "Initial Capital" (e.g., $10,000). The script automatically risks 5% of this equity per trade. - Adjust `Stop Loss ATR Multiplier` or `Risk:Reward Targets` based on your risk tolerance. - Note that commission (0.1%) and slippage (2 ticks) are fixed in the script for backtesting consistency. - **Execution**: Enter on signal, monitor plotted stop (red) and targets (green/blue). The strategy supports pyramiding (up to 2 positions) for scaling into trends. #### Backtesting Notes Results are realistic with commission (0.1%) and slippage (2 ticks) included. For a sufficient sample, test on volatile instruments (e.g., stocks, forex) over 3-6 months on lower timeframes. The default 1.5x ATR stop may seem wide, but it’s justified to avoid premature exits in volatile markets—feel free to tweak it with justification. The script assumes an initial capital of $10,000 in the strategy tester for the 5% risk calculation (e.g., $500 risk per trade); adjust this in the "Properties" tab as needed. This mashup isn’t just a random mix; it’s a deliberate fusion of complementary strategies, offering traders flexibility across market phases. Questions? Let me know!
Pine Script® ストラテジー
Stock_Reaverの投稿
Fibonacci Retracement Strategy for CryptoThe Enhanced Fibonacci Retracement Strategy is designed to help traders capitalize on key Fibonacci levels for both long and short trades. This script automatically identifies significant swing highs and lows within a customizable lookback period and dynamically plots Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%) as support and resistance levels. Key Features: Automatic Fibonacci Levels: The script identifies the highest high and lowest low over a user-defined lookback period to calculate Fibonacci retracement levels. Dual-Directional Trading: Long Trades: Triggered when the price crosses above the 61.8% retracement level, anticipating a reversal. Short Trades: Triggered when the price crosses below the 38.2% retracement level, capturing potential downward movement. Compact Line Option: Users can toggle "Compact Fibonacci Lines" to reduce visual clutter on the chart, making the lines shorter and easier to interpret. Dynamic Alerts: Alerts are embedded directly into the strategy logic for entry and exit points. Long Entry: Triggered when the price bounces above the 61.8% level. Long Exit: Triggered when the price reaches the 23.6% level. Short Entry: Triggered when the price crosses below the 38.2% level. Short Exit: Triggered when the price reaches the 78.6% level. Clear Visualization: Fibonacci levels are plotted with distinct colors and dashed lines (optional compact view), providing traders with clear and actionable levels to make decisions. Inputs: Lookback Period: Number of candles to calculate swing highs and lows. Plot Fibonacci Levels: Toggle to enable/disable plotting levels. Compact Fibonacci Lines: Reduce the length of Fibonacci lines for a cleaner chart. How It Works: The strategy identifies a high-low range within the lookback period. Fibonacci levels are calculated based on the range and plotted on the chart. Long Trade Example: Enter when the price crosses above the 61.8% level. Exit when the price reaches the 23.6% level. Short Trade Example: Enter when the price crosses below the 38.2% level. Exit when the price reaches the 78.6% level. Best Use Cases: Trending Markets: Use retracements to time entries in the direction of the trend. Range-Bound Markets: Identify and trade reversals near key Fibonacci levels. Important Notes: This strategy is not financial advice and should be backtested thoroughly before live trading. Risk management is crucial! Consider using stop-loss orders for protection. Customize inputs to suit your preferred timeframe and trading style.
Pine Script® ストラテジー
QuantumXpertの投稿
2
Gabriel's Witcher Strategy [65 Minute Trading Bot]Strategy Description: Gabriel's Witcher Strategy Author: Gabriel Platform: TradingView Pine Script (Version 5) Backtested Asset: Avalanche (Coinbase Brokage for Volume adjustment) Timeframe: 65 Minutes Strategy Type: Comprehensive Trend-Following and Momentum Strategy with Scalping and Risk Management Features Overview Gabriel's Witcher Strategy is an advanced trading bot designed for the Avalanche pair on a 65-minute timeframe. This strategy integrates a multitude of technical indicators to identify and execute high-probability trading opportunities. By combining trend-following, momentum, volume analysis, and range filtering, the strategy aims to capitalize on both long and short market movements. Additionally, it incorporates scalping mechanisms and robust risk management features, including take-profit (TP) levels and commission considerations, to optimize trade performance and profitability. ====Key Components==== Source Selection: Custom Source Flexibility: Allows traders to select from a wide range of price and volume sources (e.g., Close, Open, High, Low, HL2, HLC3, OHLC4, VWAP, On-Balance Volume, etc.) for indicator calculations, enhancing adaptability to various trading styles. Various curves of Volume Analysis are employed: Tick Volume Calculation: Utilizes tick volume as a fallback when actual volume data is unavailable, ensuring consistency across different data feeds. Volume Indicators: Incorporates multiple volume-based indicators such as On-Balance Volume (OBV), Accumulation/Distribution (AccDist), Negative Volume Index (NVI), Positive Volume Index (PVI), and Price Volume Trend (PVT) for comprehensive market analysis. Trend Indicators: ADX (Average Directional Index): Measures trend strength using either the Classic or Masanakamura method, with customizable length and threshold settings. It's used to open positions when the mesured trend is strong, or exit when its weak. Jurik Moving Average (JMA): A smooth moving average that reduces lag, configurable with various parameters including source, resolution, and repainting options. Parabolic SAR: Identifies potential reversals in market trends with adjustable start, increment, and maximum settings. Custom Trend Indicator: Utilizes highest and lowest price points over a specified timeframe to determine current and previous trend bases, visually represented with color-filled areas. Momentum Indicators: Relative Strength Index (RSI): Evaluates the speed and change of price movements, smoothed with a custom length and source. It's used to not enter the market for shorts in oversold or longs for overbought conditions, and to enter for long in oversold or shorts for overboughts. Momentum-Based Calculations: Employs both Double Exponential Moving Averages (DEMA) on a MACD-based RSI to enhance momentum signal accuracy which is then further accelerated by a Hull MA. This is the technical analysis tool that determines bearish or bullish momentum. OBV-Based Momentum Conditions: Uses two exponential moving averages of OBV to determine bullish or bearish momentum shifts, anomalities, breakouts where banks flow their funds in or Smart Money Concepts trade. Moving Averages (MA): Multiple MA Types: Includes Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), and Volume-Weighted Moving Average (VWMA), selectable via input parameters. MA Speed Calculation: Measures the percentage change in MA values to determine the direction and speed of the trend. Range Filtering: Variance-Based Filter: Utilizes variance and moving averages to filter out trades during low-volatility periods, enhancing trade quality. Color-Coded Range Indicators: Visualizes range filtering with color changes on the chart for quick assessment. Scalping Mechanism: Heikin-Ashi Candles: Optionally uses Heikin-Ashi candles for smoother price action analysis. EMA-Based Trend Detection: Employs fast, medium, and slow EMAs to determine trend direction and potential entry points. Fractal-Based Filtering: Detects regular or BW (Black & White) fractals to confirm trade signals. Take Profit (TP) Management: Dynamic TP Levels: Calculates TP levels based on the number of consecutive long or short entries, adjusting targets to maximize profits. TP Signals and Re-Entry: Plots TP signals on the chart and allows for automatic re-entry upon TP hit, maintaining continuous trade flow. Risk Management: Commission Integration: Accounts for trading commissions to ensure net profitability. Position Sizing: Configured to use a percentage of equity for each trade, adjustable via input parameters. Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends. Alerts and Visual Indicators: Buy/Sell Signals: Plots visual indicators (triangles and flags) on the chart to signify entry and TP points. Bar Coloring: Changes bar colors based on ADX and trend conditions for immediate visual cues. Price Levels: Marks significant price levels related to TP and position entries with cross styles. Input Parameters Source Settings: Custom Sources (srcinput): Choose from various price and volume sources to tailor indicator calculations. ADX Settings: ADX Type (ADX_options): Select between 'CLASSIC' and 'MASANAKAMURA' methods. ADX Length (ADX_len): Defines the period for ADX calculation. ADX Threshold (th): Sets the minimum ADX value to consider a strong trend. RSI Settings: RSI Length (len_3): Period for RSI calculation. RSI Source (src_3): Source data for RSI. Trend Strength Settings: Channel Length (n1): Period for trend channel calculation. Average Length (n2): Period for smoothing trend strength. Jurik Moving Average (JMA) Settings: JMA Source (inp): Source data for JMA. JMA Resolution (reso): Timeframe for JMA calculation. JMA Repainting (rep): Option to allow JMA to repaint. JMA Length (lengths): Period for JMA. Parabolic SAR Settings: SAR Start (start): Initial acceleration factor. SAR Increment (increment): Acceleration factor increment. SAR Maximum (maximum): Maximum acceleration factor. SAR Point Width (width): Visual width of SAR points. Trend Indicator Settings: Trend Timeframe (timeframe): Period for trend indicator calculations. Momentum Settings: Source Type (srcType): Select between 'Price' and 'VWAP'. Momentum Source (srcPrice): Source data for momentum calculations. RSI Length (rsiLen): Period for momentum RSI. Smooth Length (sLen): Smoothing period for momentum RSI. OBV Settings: OBV Line 1 (e1): EMA period for OBV line 1. OBV Line 2 (e2): EMA period for OBV line 2. Moving Average (MA) Settings: MA Length (length): Period for MA calculations. MA Type (matype): Select MA type (1: SMA, 2: EMA, 3: HMA, 4: WMA, 5: VWMA). Range Filter Settings: Range Filter Length (length0): Period for range filtering. Range Filter Multiplier (mult): Multiplier for range variance. Take Profit (TP) Settings: TP Long (tp_long0): Percentage for long TP. TP Short (tp_short0): Percentage for short TP. Scalping Settings: Scalping Activation (ACT_SCLP): Enable or disable scalping. Scalping Length (HiLoLen): Period for scalping indicators. Fast EMA Length (fastEMAlength): Period for fast EMA in scalping. Medium EMA Length (mediumEMAlength): Period for medium EMA in scalping. Slow EMA Length (slowEMAlength): Period for slow EMA in scalping. Filter (filterBW): Enable or disable additional fractal filtering. Pullback Lookback (Lookback): Number of bars for pullback consideration. Use Heikin-Ashi Candles (UseHAcandles): Option to use Heikin-Ashi candles for smoother trend analysis. Strategy Logic Indicator Calculations: Volume and Source Selection: Determines the primary data source based on user input, ensuring flexibility and adaptability. ADX Calculation: Computes ADX using either the Classic or Masanakamura method to assess trend strength. RSI Calculation: Evaluates market momentum using RSI, further smoothed with custom periods. Trend Strength Assessment: Utilizes trend channel and average lengths to gauge the robustness of current trends. Jurik Moving Average (JMA): Smooths price data to reduce lag and enhance trend detection. Parabolic SAR: Identifies potential trend reversals with adjustable parameters for sensitivity. Momentum Analysis: Combines RSI with DEMA and OBV-based conditions to confirm bullish or bearish momentum. Moving Averages: Employs multiple MA types to determine trend direction and speed. Range Filtering: Filters out low-volatility periods to focus on high-probability trades. Trade Conditions: Long Entry Conditions: ADX Confirmation: ADX must be above the threshold, indicating a strong uptrend. RSI and Momentum: RSI below 70 and positive momentum signals. JMA and SAR: JMA indicates an uptrend, and Parabolic SAR is below the price. Trend Indicator: Confirms the current trend direction. Range Filter: Ensures market is in an upward range. Scalping Option: If enabled, additional scalping conditions must be met. Short Entry Conditions: ADX Confirmation: ADX must be above the threshold, indicating a strong downtrend. RSI and Momentum: RSI above 30 and negative momentum signals. JMA and SAR: JMA indicates a downtrend, and Parabolic SAR is above the price. Trend Indicator: Confirms the current trend direction. Range Filter: Ensures market is in a downward range. Scalping Option: If enabled, additional scalping conditions must be met. Position Management: Entry Execution: Places long or short orders based on the identified conditions and user-selected position types (Longs, Shorts, or Both). Take Profit (TP): Automatically sets TP levels based on predefined percentages, adjusting dynamically with consecutive trades. Re-Entry Mechanism: Allows for automatic re-entry upon TP hit, maintaining active trading positions. Exit Conditions: Closes positions when TP levels are reached or when opposing trend signals are detected. Visual Indicators: Bar Coloring: Highlights bars in green for bullish conditions, red for bearish, and orange for neutral. Plotting Price Levels: Marks significant price levels related to TP and trade entries with cross symbols. Signal Shapes: Displays triangle and flag shapes on the chart to indicate trade entries and TP hits. Alerts: Custom Alerts: Configured to notify traders of long entries, short entries, and TP hits, enabling timely trade management and execution. Usage Instructions Setup: Apply the Strategy: Add the script to your TradingView chart set to BTCUSDT with a 65-minute timeframe. Configure Inputs: Adjust the input parameters under their respective groups (e.g., Source Settings, ADX, RSI, Trend Strength, etc.) to match your trading preferences and risk tolerance. Position Selection: Choose Position Type: Use the Position input to select Longs, Shorts, or Both based on your market outlook. Execution: The strategy will automatically execute and manage positions according to the selected type, ensuring targeted trading actions. Signal Interpretation: Buy Signals: Blue triangles below the bars indicate potential long entry points. Sell Signals: Red triangles above the bars indicate potential short entry points. Take Profit Signals: Flags above or below the bars signify TP hits for long and short positions, respectively. Bar Colors: Green bars suggest bullish conditions, red bars indicate bearish conditions, and orange bars represent neutral or consolidating markets. Risk Management: Default Position Size: Set to 100% of equity. Adjust the default_qty_value as needed for your risk management strategy. Commission: Accounts for a 0.1% commission per trade. Adjust the commission_value to match your broker's fees. Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends. Backtesting and Optimization: Historical Testing: Utilize TradingView's backtesting features to evaluate the strategy's performance over historical data. Parameter Tuning: Optimize input parameters to align the strategy with current market dynamics and personal trading objectives. Alerts Configuration: Set Up Alerts: Enable and configure alerts based on the predefined alertcondition statements to receive real-time notifications of trade signals and TP hits. Additional Features Comprehensive Indicator Integration: Combines multiple technical indicators to provide a holistic view of market conditions, enhancing trade signal accuracy. Scalping Options: Offers an optional scalping mechanism to capitalize on short-term price movements, increasing trading flexibility. Dynamic Take Profit Levels: Adjusts TP targets based on the number of consecutive trades, maximizing profit potential during favorable trends. Advanced Volume Analysis: Utilizes various volume indicators to confirm trend strength and validate trade signals. Customizable Range Filtering: Filters trades based on market volatility, ensuring trades are taken during optimal conditions. Heikin-Ashi Candle Support: Optionally uses Heikin-Ashi candles for smoother price action analysis and reduced noise. ====Recommendations==== Thorough Backtesting: Historical Performance: Before deploying the strategy in a live trading environment, perform comprehensive backtesting to understand its performance under various market conditions. These are the premium settings for Avalanche Coinbase. Optimization: Regularly review and adjust input parameters to ensure the strategy remains effective amidst changing market volatility and trends. Backtest the strategy for each crypto and make sure you are in the right brokage when using the volume sources as it will affect the overall outcome of the trading strategy. Risk Management: Position Sizing: Adjust the default_qty_value to align with your risk tolerance and account size. Stop-Loss Implementation: Although the strategy includes TP levels, they're also consided to be a stop-loss mechanisms to protect against adverse market movements. Commission Adjustment: Ensure the commission_value accurately reflects your broker's fees to maintain realistic backtesting results. Generally, 0.1~0.3% are most of the average broker's comission fees. Slipage: The slip comssion is 1 Tick, since the strategy is adjusted to only enter/exit on bar close where most positions are available. Continuous Monitoring: Strategy Performance: Regularly monitor the strategy's performance to ensure it operates as expected and make adjustments as needed. A max-drawndown hit has been added to operate in case the premium Avalanche settings go wrong, but you can turn it off an adjust the equity percentage to 50% if you are confortable with the high volatile max-drown or even 100% if your account allows you to borrow cash. Customization: Indicator Parameters: Tailor indicator settings (e.g., ADX length, RSI period, MA types) to better fit your specific trading style and market conditions. Scalping Options: Enable or disable scalping based on your trading preferences and risk appetite. Conclusion Gabriel's Witcher Strategy is a robust and versatile trading solution designed to navigate the complexities of the Crypto market. By integrating a wide array of technical indicators and providing extensive customization options, this strategy empowers traders to execute informed and strategic trades. Its comprehensive approach, combining trend analysis, momentum detection, volume evaluation, and range filtering, ensures that trades are taken during optimal market conditions. Additionally, the inclusion of scalping features and dynamic take-profit management enhances the strategy's adaptability and profitability potential. Unlike any trading strategy, with both diligent testing and continuous monitoring under the strategy tester, it's possible to achieve sustained success by adjusting the settings to the individual Crypto that need it, for example this one is preset for Avalanche Coinbase 65 Miinutes but it can be adjust for BTCUSD or Etherium if you backtest and search for the right settings.
Pine Script® ストラテジー
GabrielAmadeusLauの投稿
Strategic Multi-Step Supertrend - Strategy [presentTrading]The code is mainly developed for me to stimulate the multi-step taking profit function for strategies. The result shows the drawdown can be reduced but at the same time reduced the profit as well. It can be a heuristic for futures leverage traders. █ Introduction and How it is Different The "Strategic Multi-Step Supertrend" is a trading strategy designed to leverage the power of multiple steps to optimize trade entries and exits across the Supertrend indicator. Unlike traditional strategies that rely on single entry and exit points, this strategy employs a multi-step approach to take profit, allowing traders to lock in gains incrementally. Additionally, the strategy is adaptable to both long and short trades, providing a comprehensive solution for dynamic market conditions. This template strategy lies in its dual Supertrend calculation, which enhances the accuracy of trend detection and provides more reliable signals for trade entries and exits. This approach minimizes false signals and increases the overall profitability of trades by ensuring that positions are entered and exited at optimal points. BTC 6h L/S Performance █ Strategy, How It Works: Detailed Explanation The "Strategic Multi-Step Supertrend Trader" strategy utilizes two Supertrend indicators calculated with different parameters to determine the direction and strength of the market trend. This dual approach increases the robustness of the signals, reducing the likelihood of entering trades based on false signals. Here is a detailed breakdown of how the strategy operates: 🔶 Supertrend Indicator Calculation The Supertrend indicator is a trend-following overlay on the price chart, typically used to identify the direction of the trend. It is calculated using the Average True Range (ATR) to ensure that the indicator adapts to market volatility. The formula for the Supertrend indicator is: Upper Band = (High + Low) / 2 + (Factor * ATR) Lower Band = (High + Low) / 2 - (Factor * ATR) Where: - High and Low are the highest and lowest prices of the period. - Factor is a user-defined multiplier. - ATR is the Average True Range over a specified period. The Supertrend changes its direction based on the closing price in relation to these bands. 🔶 Entry-Exit Conditions The strategy enters long positions when both Supertrend indicators signal an uptrend, and short positions when both indicate a downtrend. Specifically: - Long Condition: Supertrend1 < 0 and Supertrend2 < 0 - Short Condition: Supertrend1 > 0 and Supertrend2 > 0 - Long Exit Condition: Supertrend1 > 0 and Supertrend2 > 0 - Short Exit Condition: Supertrend1 < 0 and Supertrend2 < 0 🔶 Multi-Step Take Profit Mechanism The strategy features a multi-step take profit mechanism, which allows traders to lock in profits incrementally. This is achieved through four user-configurable take profit levels. For each level, the strategy specifies a percentage increase (for long trades) or decrease (for short trades) in the entry price at which a portion of the position is exited: - Step 1: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent1 / 100) - Step 2: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent2 / 100) - Step 3: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent3 / 100) - Step 4: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent4 / 100) This staggered exit strategy helps in locking profits at multiple levels, thereby reducing risk and increasing the likelihood of capturing the maximum possible profit from a trend. BTC Local █ Trade Direction The strategy is highly flexible, allowing users to specify the trade direction. There are three options available: - Long Only: The strategy will only enter long trades. - Short Only: The strategy will only enter short trades. - Both: The strategy will enter both long and short trades based on the Supertrend signals. This flexibility allows traders to adapt the strategy to various market conditions and their own trading preferences. █ Usage 1. Add the strategy to your trading platform and apply it to the desired chart. 2. Configure the take profit settings under the "Take Profit Settings" group. 3. Set the trade direction under the "Trade Direction" group. 4. Adjust the Supertrend settings in the "Supertrend Settings" group to fine-tune the indicator calculations. 5. Monitor the chart for entry and exit signals as indicated by the strategy. █ Default Settings - Use Take Profit: True - Take Profit Percentages: Step 1 - 6%, Step 2 - 12%, Step 3 - 18%, Step 4 - 50% - Take Profit Amounts: Step 1 - 12%, Step 2 - 8%, Step 3 - 4%, Step 4 - 0% - Number of Take Profit Steps: 3 - Trade Direction: Both - Supertrend Settings: ATR Length 1 - 10, Factor 1 - 3.0, ATR Length 2 - 11, Factor 2 - 4.0 These settings provide a balanced starting point, which can be customized further based on individual trading preferences and market conditions.
Pine Script® ストラテジー
PresentTradingの投稿
4
CCI based support and resistance strategy WARNING: Commissions and slippage has not been considered! Don’t take it easy adding commissions and slippage could turns a fake-profitable strategy to a real disaster. We consider account size as 10k and we enter 1000 for each trade. Less than 100 trades is too small sample community and it’s not reliable, Also the performance of the past do not guarantee future performance. This result was handpicked by author and will differ by other timeframes, instruments and settings. *PLEASE SHARE YOUR SETTINGS THAT WORK WITH THE COMMUNITY. Introduction: The CCI-based dynamic support and resistance is a "Bands and Channels" kind of indicator consisting an upper and lower band. This is a strategy which uses CCI-based (Made by me) indicator to execute trades. SL and TP are calculated based on max ATR during last selected time period. You can edit strategy settings using "Ksl", "Ktp" and the other button for time period. “KSL” and “KTP” are 2.5 and 5 by default. Bands are calculated regarding CCI previous high and low pivot. CCI length, right pivot length and left pivot length are 50. A dynamic support and resistance has been calculated using last upper-cci minus a buffer and last lower-cci plus the buffer. The buffer is 10. If "Trend matter?" button is on you can detect trend by color of the upper and lower line. Green is bullish and red is bearish! "Trend matter?" is on. The "show mid?" button makes mid line visible, which is average of upper and lower lines, visible. The button is not active by default. Reaction to the support could be a buy signal while a reaction to the resistance could interpreted as a sell signal. How this strategy work? Donald Lambert, a technical analyst, created the CCI, or Commodity Channel Index, which he first published in 1980. CCI is calculated regarding CCI can be used both as trend-detector or an oscillator. As an oscillator most traders believe in static predefined levels. Overbought and oversold candles which are clear in the chart could be used as sell and buy signals. During my trading career I’ve noticed that there might be some reversal points for the CCI. I believe CCI could have to potential to reverse more from lately reversal point. Of course, just like other trading strategies we are talking about probabilities. We do not expect a win trade each time. On price chart Now this the question! What price should the instrument reach that CCI turns to be equal to our reversing aim for CCI? Imagine we have found last important bearish reversal of CCI in 200. Now, if we need the CCI to be 200 what price should we wait for? How to calculate? This is the CCI formula: CCI = (Typical Price - SMA of TP) / (0.015 x Mean Deviation) Where, Typical Price (TP) = (High + Low + Close)/3 For probable reversing points, high and low pivots of 50 bars have been used. So we do have an Upper CCI and a Lower CCI. They are valid until the next pivot is available. By relocating factors in CCI formula you can reach the “Typical Price”. “ Typical Price = CCI (0.015 * Mean Deviation) + SMA of TP So we could have a Support or Resistance by replacing CCI with Upper and Lower CCI. A buy signal is valid if the trend is bullish (or “trend matter” is off) and lowest low of last 2 candles is lower than support and close is greater than both support and open. A Sell signal is produced in opposite situation. There are 2+1 options for trend! Trend matter box is on by default, which means we’ll just open trades in direction of the trend. It’s available to turn it off. Other 2 options are cross and slope. Cross calculated by comparing fast SMA and slow SMA. The slope one differentiate slow SMA to last “n” one. Considering last day and today highest ATR as the ATR to calculating SL and TP is our unique technique.
Pine Script® ストラテジー
AliSignalsの投稿
TradeChartist PowerTracer Pro Backtester™TradeChartist PowerTracer Pro Backtester is the strategy script for backtesting ™TradeChartist PowerTracer Pro for best performance settings which can then be used with ™TradeChartist PowerTrader Pro to plot Trades emulating the backtester and use Alerts (once per bar) on real time price chart. PowerTracer Backtester includes the following options in the settings. PowerTracer setting - Power Plot Type - (PowerTracer, Bar-wise Power Holder) PowerTracer setting - Timeframe Multiplier PowerTracer setting - Smoothing Factor Backtester setting - Trade Direction - (Both Longs and Shorts, Only Longs, Only Shorts) Backtester setting - SL Type (Fixed Stop Loss, Trailing Stop Loss) Backtester setting - Reference for Trailing SL (Close, High/Low) Backtester setting - Stop Loss % Backtester setting - Take Profit % Backtester setting - Quantity to trade at TP % Using combinations of the settings, the user can find optimal settings for the asset to deliver lucrative entry and exit signals with high ROI and minimal Drawdown which can then be used on PowerTracer Pro and PowerTrader Pro to plot signals and create alerts to start trading in real-time. Example charts: GBP-USD 1hr chart - (2,1,Trailing SL, close, 1,1,25) BTC-USDT 15m chart - (4,5, Trailing SL, high/low, 3.9,1.2,15) SPX 1hr chart - (1,3, Trailing SL, high/low, 3, 2, 50) This backtester needs the following scripts to generate signals and plots on main price chart and for real-time alerts ™TradeChartist PowerTracer Pro ™TradeChartist PowerTrader Pro =================================================================================================================== This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator) Premium Scripts - Trial access and Information Trial access offered on all Premium scripts. PM me directly to request trial access to the scripts or for more information. ===================================================================================================================
Pine Script® ストラテジー
TradeChartistの投稿
Nifty 10m Simple ORB TEST harish//@version=5 strategy("Nifty 10m Simple ORB TEST", overlay=true) // 10m timeframe check if timeframe.period != "10" runtime.error("Use this on 10 minute timeframe") // First 10m candle high/low (no PCR, no opposite logic – just test syntax) newDay = ta.change(time("D")) != 0 var float dayHigh = na var float dayLow = na if newDay dayHigh := na dayLow := na sessStart = 0915 sessEnd = 0925 hhmm = hour * 100 + minute isFirst = na(dayHigh) and hhmm >= sessStart and hhmm < sessEnd if isFirst dayHigh := high dayLow := low // Plot first candle range plot(dayHigh, "First High", color=color.green, style=plot.style_linebr) plot(dayLow, "First Low", color=color.red, style=plot.style_linebr) // Simple breakout entries just to test longCond = not na(dayHigh) and close > dayHigh shortCond = not na(dayLow) and close < dayLow if longCond strategy.entry("LONG", strategy.long) if shortCond strategy.entry("SHORT", strategy.short)
Pine Script® ストラテジー
harrishdadeの投稿
1
Quantura - Quantified Price Action StrategyIntroduction “Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices. Originality & Value The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of: Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity. Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs. RSI filter: Can be set to normal or aggressive, confirming momentum before trades. Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies. EMA filter: Aligns trades with the broader market trend. Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions. This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow. Functionality & Indicators Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap. Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection. RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness. FVG filter: Adds validation by requiring price interaction with inefficiency zones. EMA filter: Ensures longs are above EMA and shorts below EMA. Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status. Parameters & Customization Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options. Liquidity filter: Mode (Run or Sweep), display, and swing length. RSI: Enable/disable, length, and style (normal or aggressive). Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles. EMA: Length, enable/disable, and visualization. Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing. Visualization: Custom candle coloring and optional overlay for better clarity. Default Properties (Strategy Settings) Initial Capital: 10,000 USD Position Size: 100% of equity per trade (backtest default) Commission: 0.1% Slippage: 1 Pyramiding: 0 (only one position at a time) Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%. Backtesting & Performance Backtests on XPTUSD over 2.5 years with the default settings produced: 164 trades 67.68% win rate Profit factor: 1.7 Maximum drawdown: 27.81% These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes. Risk Management Three configurable take-profit levels with percentage allocation. Initial stop-loss based on user-defined percentage. Dynamic stop-loss that adjusts with market movement. Break-even logic that shifts stops to entry after predefined gains. Position sizing based on risk percentage of equity. This framework allows both conservative and aggressive configurations, depending on user preference. Limitations & Market Conditions Works best in volatile and liquid markets such as crypto, metals, indices, and FX. May produce false signals in low-volume or sideways environments. Unexpected news or macro events can override technical conditions. Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use. Usage Guide Add “Quantura – Quantified Price Action Strategy” to your chart. Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe. Configure risk management: take-profits, stop-loss, and risk-per-trade percentage. Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions. Optimize parameters before applying the strategy to different markets. Author & Access Developed 100% by Quantura. Published as an Invite-Only script. Important This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
Pine Script® ストラテジー
Quanturaの投稿
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works 1. Pattern Detection (Previous Candle): • Checks if total shadow length ≥ 2 × body. • Checks if candle height (high − low) is between 10 and 21.5 points. • If true → marks that candle as a potential Doji, Hammer, or Spinning Top. 2. Long Setup: • LTP (close) crosses above previous candle high. • Previous candle is a valid pattern candle. • Stop Loss = 3 points below previous candle low. • Take Profit = 5 × (high − low) of previous candle added to previous high. 3. Short Setup: • LTP (close) crosses below previous candle low. • Previous candle is a valid pattern candle. • Stop Loss = 3 points above previous candle high. • Take Profit = 5 × (high − low) of previous candle subtracted from previous low. 4. Visualization: • Yellow background highlights pattern candles. • Green ▲ and Red ▼ markers show entry points. Deep yellow candles → represent Doji / Hammer / Spinning Top patterns • Green triangle → Buy signal • Red triangle → Sell signal • Dotted green line + label → Target • Dotted red line + label → Stop loss • Gray background → Outside trading hours • Auto close → All trades square off at 3:29 PM IST
Pine Script® ストラテジー
amiyashankarの投稿
Mario vr SIT MC Utilizar en el gráfico 4 1 55 🧠 Market Structure Pro System – MVR Market Structure Pro System – MVR is an advanced trading strategy designed to detect key reversal and trend-break zones with high precision. It combines multiple professional tools within a single algorithm — integrating market structure, dynamic channels, volatility filters, and trend confirmations — making it ideal for scalping and swing trading across different markets (Forex, indices, cryptocurrencies, or stocks). ⚙️ How it works The algorithm performs a complete structural analysis of the market through several technical layers: 🔹 1. Price Structure (BOS, Supply & Demand) The system automatically detects: Order Blocks Supply and Demand Zones Break of Structure (BOS) to identify market structure shifts This allows traders to recognize where price is likely to react or break a trend, anticipating major market movements. 🔹 2. Keltner Channels and Linear Regression The strategy uses multiple Keltner Channels with different settings to measure volatility expansion and contraction. In combination, a dynamic linear regression line shows the overall market direction, helping confirm whether price is trending or ranging. 🔹 3. Volatility and Trend Filters It integrates several complementary systems: ATR (Average True Range): measures the strength and volatility of price movement. PSAR (Parabolic SAR): identifies potential trend reversals. Supertrend: acts as the main trend filter and confirmation tool. These filters work together to avoid false signals in ranging or low-volatility conditions. 🔹 4. Swing Highs / Lows and Dynamic Lines The indicator also marks swing high and low points, helping visualize dynamic support and resistance levels and potential price reversal areas. 📈 Signal Interpretation BUY signals: Occur when price breaks a demand zone or bearish structure, while trend filters (Supertrend / PSAR) confirm bullish direction. SELL signals: Trigger when price breaks a supply zone or bullish structure, with bearish confirmation from the trend filters. These conditions can be further validated by visual confirmations from the Keltner Channel or a color change in the linear regression. Script protegido Este script se publica como código cerrado. Sin embargo, puede utilizarlo libremente y sin limitaciones: obtenga más información aquí. mariovr_usd Exención de responsabilidad La información y las publicaciones que ofrecemos, no implican ni constituyen un asesoramiento financiero, ni de inversión, trading o cualquier otro tipo de consejo o recomendación emitida o respaldada por TradingView. Puede obtener información adicional en las Condiciones de uso. 1 comentario
Pine Script® ストラテジー
mariovr_usdの投稿
1
Strategy with Reference Lines📊 Strategy with Reference Lines Description: This strategy uses a contrarian approach based on the analysis of the previous candle to identify entry and exit points. The strategy draws horizontal reference lines at important levels of the previous candle and generates buy/sell signals based on the candle's direction. Key Features: 🔹 Multi-Timeframe Analysis: Configurable for 1H, 2H, 3H, 4H, 6H, 12H, and 1D 🔹 Reference Lines: High, low, close, and midpoint (50%) of the previous candle 🔹 Visual Signals: Labels with prices and actions (BUY/SELL/TP) 🔹 Optional Trading: Enable/disable automatic order execution 🔹 Complete System: Automatic entry, Take Profit, and Stop Loss 🔹 Alerts: Notifications when a new candle is detected Strategy Logic: When the previous candle is POSITIVE: Signal: 🔴 SELL at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🔴 High of the previous candle When the previous candle is NEGATIVE: Signal: 🟢 BUY at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🟢 Low of the previous candle Visual Elements: Green Line: High of the previous candle (when positive) Red Line: Low of the previous candle (when negative) Yellow Line: Close of the previous candle (always present) Blue Line: Midpoint (50%) of the previous candle (always present) Labels: Prices and actions with emojis for easy identification Settings: Timeframe: Default 4H (configurable) Auto Trading: Disabled by default (safety) Alerts: Include entry prices, TP, and SL Recommended Usage: ✅ Visual Analysis: Use with trading disabled for analysis ✅ Backtesting: Enable trading to test historically ✅ Swing Trading: Ideal for 4H or higher timeframes ✅ Risk Management: Automatic SL and TP for protection Risk Disclaimer: This strategy is for educational and analysis purposes only. Always test in a simulation environment before using with real capital. Trading involves significant risks and may result in losses.
Pine Script® ストラテジー
itasouzaの投稿