LP Sweep / Reclaim & Breakout Grading: Long-onlySignals
1) LP Sweep & Reclaim (mean-reversion entry)
Compute LP bounds from prior-bar window extremes:
lpLL_prev = lowest low of the last N bars (offset 1).
lpHH_prev = highest high of the last N bars (offset 1).
Sweep long trigger: current low dips below lpLL_prev and closes back above it.
Real-time quality grading (A/B/C) for sweep:
Trend filter & slope via EMA(88).
BOS bonus: close > last confirmed swing high.
Body size vs ATR, location above a long EMA, headroom to swing high (penalty if too close), and multi-sweep count bonus.
Sum → score → grade A/B/C; A or B required for sweep entry.
2) Trend Breakout (momentum entry)
Core trigger: close > previous Donchian high (length boLen) + ATR buffer.
Optional filter: close must be above the default EMA.
Breakout grading (A/B/C) in real time combining:
Trend up (price > EMA and EMA rising),
Body/ATR, Gap above breakout level (in ATR),
Volume vs MA,
Upper-wick penalty,
Position-in-Score: headroom to last swing high (penalty if too near) + EMA slope bonus.
Sum → score → A or B required if grading enabled.
Chart patterns
Sweep/Reclaim & Breakout Grading — Long-onlyStrategy Overview
Name: LP Sweep & Reclaim — Long-only: Breakout Grading with Position-in-Score + Hybrid SL + 1R→BE
Signals
1) LP Sweep & Reclaim (mean-reversion entry)
2) Trend Breakout (momentum entry)
Risk & Exit Logic
Hybrid Stop-Loss (at entry)
Compute two candidates:
Structure-based SL: reference level (LP low for sweeps, min(low, donchianHigh) for breakouts) minus k × ATR.
ATR-based SL: close − m × ATR.
Hybrid rule (longs): pick the tighter one (the higher price) → initial SL.
1R → Breakeven (BE) transition
Trend Take-Profit (EMA cross)
Exit condition: after at least minHoldBars since entry (default 4), close crosses below the chosen EMA → strategy.close.
Nifty 50 Scalping - Bullish Buy & Bearish Sell (5 Target / 2 SL)Nifty 50 Scalping - Bullish Buy & Bearish Sell (5 Target / 2 SL)
Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP[by Irum]Disparity(20MA) ±1 × Stochastic 80/20 + ATR SL/TP
사용 설명서 (KR/EN Bilingual Manual)
1) 목적 & 정의 / Purpose & Definition
KR — 목적 & 정의
이 스크립트는 이격도(Disparity) 와 스토캐스틱(80/20) 의 동시 신호를 활용해 추세 전환/지속 구간의 고확률 진입 시점을 포착하고, ATR 기반 손절/익절(고정 또는 트레일링)로 리스크를 정량화하여 운용 효율을 높이기 위해 설계되었습니다.
핵심 아이디어:
가격이 20MA 대비 ±임계값을 크로스(과열/침체 해소 신호)하고,
스토캐스틱이 80/20을 돌파/이탈(모멘텀 전환 신호)할 때,
두 신호가 동일봉 또는 N봉 내 동기화되면 진입.
청산: ATR×배수를 이용한 고정 TP/SL 또는 ATR 트레일링.
EN — Purpose & Definition
This strategy combines Disparity (price vs. 20MA) and Stochastic (80/20) to identify high-probability entries when momentum confirms mean-reversion/continuation, while ATR-based stops/take-profits (fixed or trailing) provide quantified risk control.
Core Idea:
Disparity crosses ±threshold (overbought/oversold release),
Stochastic crosses 80/20 (momentum shift),
Both conditions sync on the same bar or within N bars → entry.
Exits: Fixed ATR TP/SL or ATR trailing.
2) 신호 로직 요약 / Signal Logic Overview
KR
롱 진입: Disparity가 −임계값 상향 돌파 & Stochastic 20 상향 돌파가 syncBars 이내에 동시 충족.
숏 진입: Disparity가 +임계값 하향 돌파 & Stochastic 80 하향 돌파가 syncBars 이내에 동시 충족.
완화 옵션(useRelaxStoch): 최근 relaxLookback 내 20/80 터치 이력 + 현재 방향성만으로도 모멘텀 전환을 인정(교차 미충족 보완).
EN
Long: Disparity crosses up −threshold & Stochastic crosses up 20 within syncBars.
Short: Disparity crosses down +threshold & Stochastic crosses down 80 within syncBars.
Relaxed option (useRelaxStoch): Accepts momentum shift if 20/80 was touched in the last relaxLookback bars and the current slope confirms, even without a strict cross.
3) 설정 메뉴 안내 / Settings Menu Guide
A. 기본 / Core
기준가격 / Source (source)
설명: Disparity 계산에 쓰는 가격 소스.
입력: close, hl2, ohlc4 등.
기본값: close.
팁: 변동성 큰 종목은 hlc3/ohlc4가 노이즈를 줄이기도 함.
이격도 기준 MA 길이 / MA Length (for Disparity) (int ≥1)
설명: Disparity의 기준선이 되는 단순이동평균 길이.
기본값: 20.
영향: 길이↑ → 신호 빈도↓, 안정성↑.
이격도 임계값(±%) / Disparity Threshold (±%) (float ≥0.1, step 0.1)
설명: Disparity가 +임계값 아래로 하향 크로스(숏) 또는 −임계값 위로 상향 크로스(롱)할 때 신호.
기본값: 1.0%.
팁: 너무 크면 신호 드뭄, 너무 작으면 과다.
B. 스토캐스틱 / Stochastic
%K Length / K 길이 (int ≥1, 기본 14)
%K Smoothing / K 스무딩 (int ≥1, 기본 1)
%D Length / D 길이 (int ≥1, 기본 3)
설명: ta.stoch의 K를 스무딩한 kSlow와, 추가 스무딩한 dSlow(참조용)를 구성.
Buy Level (↑20) / 매수 기준선 (0~100, 기본 20)
Sell Level (↓80) / 매도 기준선 (0~100, 기본 80)
C. 신호 로직 / Signal Logic
Signal Sync Window (bars) / 신호 동기화 윈도우 (0~10, 기본 0)
설명: 0=두 신호가 같은 봉에서 모두 충족해야 함. N>0=최근 N봉 내에서 각각 한 번 발생하면 인정.
팁: 1~3은 현실적 체결/지연을 반영하며 과최적화 방지에 도움.
Relaxed Stochastic? (교차 완화) (bool, 기본 false)
설명: 교차 대신 최근 20/80 터치 + 현재 기울기만으로도 모멘텀 전환을 인정. 신호 빈도↑.
Relax lookback bars (int ≥1, 기본 5)
설명: 완화판정에 쓰는 최근 봉 수.
D. 리스크 / Risk (ATR)
ATR Length / ATR 길이 (int ≥1, 기본 14)
ATR Mult for Stop / 손절 ATR 배수 (float ≥0.1, 기본 1.5)
ATR Mult for Take-Profit / 익절 ATR 배수 (float ≥0.1, 기본 2.0)
설명: 진입가 ± ATR×배수로 SL/TP 설정.
팁: 변동성 큰 자산은 SL 배수↑, TP 배수도 함께 조정 권장.
Use ATR Trailing Stop? / ATR 트레일링 사용 (bool, 기본 false)
ATR Mult for Trailing / 트레일링 ATR 배수 (float ≥0.1, 기본 2.0)
설명: 고정 TP/SL 대신 추적 손절을 사용(수익 추적에 유리).
E. 시각화 / Visualization
Plot 20MA / 20MA 표시 (bool, 기본 true)
Show Entry Markers / 진입 마커 표시 (bool, 기본 true)
4) 진입·청산 규칙 / Entry & Exit Rules
KR
진입: 위 “신호 로직” 충족 시 strategy.entry("L"/"S").
청산 (고정형):
롱: Stop = 진입 − ATR×SL, TP = 진입 + ATR×TP
숏: Stop = 진입 + ATR×SL, TP = 진입 − ATR×TP
청산 (트레일링형):
ATR×trailMult로 산출한 trail_points/offset으로 추적 손절.
EN
Entry: Place strategy.entry("L"/"S") when sync conditions are met.
Exit (Fixed):
Long: Stop = Entry − ATR×SL, TP = Entry + ATR×TP
Short: Stop = Entry + ATR×SL, TP = Entry − ATR×TP
Exit (Trailing):
Use ATR×trailMult as trailing distance & offset.
5) 알림 / Alerts
조건
Long Entry (Disp −Thr & Stoch Up, sync) → longSignal
Short Entry (Disp +Thr & Stoch Down, sync) → shortSignal
메시지 포맷 / Message format
{"signal":"long|short","symbol":"{{ticker}}","price":{{close}}}
Webhook(예: 거래소·봇)에서 signal/symbol/price를 활용해 체결 로직과 연동하십시오.
6) 빠른 시작 & 권장 프리셋 / Quick Start & Suggested Presets
KR — BTC/USDT (15분봉) 제안
maLen=20, thrPct=1.0~1.5, kLen=14, kS=1, dLen=3, stBuyLv=20, stSellLv=80
syncBars=1~3 (동시성 여유), useRelaxStoch=true, relaxLookback=5
고정형: atrLen=14, atrMultSL=1.5~2.0, atrMultTP=2.0~3.0
트레일링형: useTrail=true, trailMult=2.0~3.0
EN — BTC/USDT (15-min) suggestion
Above defaults, with syncBars=1~3, useRelaxStoch=true to improve fill realism.
Increase atrMultSL on high-volatility days to reduce whipsaws.
7) 운용 팁 & 점검 / Tips & Troubleshooting
KR
신호가 안 나와요: thrPct가 지나치게 크거나 syncBars=0으로 너무 엄격할 수 있음. thrPct↓, syncBars↑ 조정.
휩쏘 과다: useRelaxStoch를 끄거나 thrPct↑, atrMultSL↑.
TP 도달 전에 청산: 트레일링 사용 시 변동성 확대로 SL이 따라붙다 체결될 수 있음 → trailMult↑ 또는 고정형 전환.
과최적화 방지: 한 구간에 과특화된 튜닝(특히 syncBars, thrPct)은 다른 시장에서 성능 저하. Walk-forward 권장.
EN
No signals: Lower thrPct and/or increase syncBars.
Too many whipsaws: Disable relaxed mode, raise thrPct and/or atrMultSL.
Stopped before TP (trailing): Increase trailMult or switch to fixed exits.
Robustness: Avoid over-tuning; validate via walk-forward testing.
Trend Following S/R Fibonacci Strategy 2Trend Following S/R Fibonacci Strategy 2
Trend Following S/R Fibonacci Strategy 2
Hilly 2.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use
Copy the Code: Copy the script above.
Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.”
Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5).
Select Timeframe:
1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false).
5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true.
Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase).
Verify Signals:
Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles.
Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles.
Green/red background highlights for signal candles.
Arrows use size.normal for consistent visibility.
Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown.
Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
TheWave + Supertrend Hybrid w/ Signals• Green triangle below bar → Long entry signal
• Red triangle above bar → Short entry signal
• Small lime cross above/below → Take-profit hit
• Small maroon cross above/below → Stop-loss hit
• SMA5 and Supertrend lines for trend context
This version makes all entries and exits visually obvious while keeping the hybrid TheWave + Supertrend logic intact.
TheWaveStrategy v6 - QQE + ATR (Optional Trailing)New Version Of the wave with QQE and ATR
• Compiles cleanly in Pine v6.
• Optional trailing stop toggle via useTrailingATR.
• Market exit uses strategy.close() properly.
• ATR spike filter uses 5m ATR.
• QQE confluence with 30m timeframe included.
Chiến lược Lọc Tín hiệu (Cooldown & ATR)Chiến lược Lọc Tín hiệu (Cooldown & ATR)
Chiến lược Lọc Tín hiệu (Cooldown & ATR)
Consolidated 9-Indicator Buy/Sell Zones & TriggersALL important inductors combined for long term position holders and short term guys...use it to enter trade and exit ...backgroud colour will give you the indication of the market mood..
swapstrategy-Reversal StrategyGenerate buy and sell signals and reverses position when chart turn buy or sell side
LFT strategy Main Reversion
this script will tell exactly when to buy and sell with TP and SL, used the latest LLM to tone the model with a profit ratio of 2.05 in 6 years and profit ratio of 4.02 in past 6 month and have been back tested with Monte Carlo simulation, with profit ratio 1+ for 99% of the time with 1000 iterations with 500 steps, for 100 times
please contact LFT Foundation for access
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
MTF FVG Confluence v6 — JSON Alerts via alert()This strategy combines multi-timeframe confluence with candlestick analysis and fair value gaps (FVGs) to generate structured long/short entries. It aligns Daily and 4H EMA trends with 1H MACD momentum, then confirms with engulfing candles and FVG zones for precision entries. Risk management is built-in, featuring stop-loss, 3R take-profit targets, and optional break-even logic, with dynamic JSON alerts for webhook automation.
Categories:
Candlestick analysis
Chart patterns
Cycles
dabilThe strategy is probably to go short or long with the trend depending on the case, but if all time units 1 minute then 3 minutes then 5 minutes then 15 minutes then 1 hour all show the same direction, but first the 1 hour must be bullish in which the 1 hour candle closes above the previous one, for example if the trend is bearish then the market wants to change direction, then a 1 hour bullish close must then be followed by a 1 hour bearish close below the bullish candle, then another bullish candle must shoot above the previous bullish candle, then 15 minutes also shoot above the previous 15 bullish candles, then 1 and 2...3.5. Then I can rise with the market by only covering the last 15 bullish candles with my stop loss, if my SL is 50 pips then I want 100 pips and then I'm out.
NIFTY_2min_FVG_Buy_StrategySummary
This strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. The script's purpose is to identify and act on specific bullish reversal patterns based on volume analysis and price action.
Concept & Core Logic
The strategy operates on a two-stage confirmation process:
Volume Absorption: The initial condition seeks to identify potential bullish reversals by detecting signs of selling pressure being absorbed by buyers. This suggests that a downward move may be losing momentum.
Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Fair Value Gap (FVG) to appear. A long entry signal is generated only after a candle closes above the FVG zone, serving as confirmation of bullish intent.
Risk Management
The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price:
Take Profit: The exit signal is triggered when a trade reaches a 25-point profit.
Stop Loss: The exit signal is triggered when a trade reaches a 30-point loss.
Intended Use
This tool is intended for traders who:
Utilize mechanical, rule-based systems for intraday trading and scalping.
Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Rev Smart Pivot V5.0 by SJKimRev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
𝐍𝐄𝐔𝐑𝐀𝐋 𝐍𝐄𝐓𝐖𝐎𝐑𝐊神经网络交易系统全网都在疯狂寻找的神经网络交易系统
策略通过整合多种技术指标(如EMA、Supertrend、HMA、PSAR、RSI、MACD、WaveTrend、Stochastic、Bollinger Bands、ATR、RVI、OBV、CMF、VWAP、K线形态等),生成综合交易信号。策略采用评分系统,根据各指标的权重累积分数,触发强/弱多头和空头信号,并结合趋势过滤(可选)和止损机制进行交易管理。
The neural network trading system that the entire network is frantically searching for
The strategy integrates multiple technical indicators (such as EMA、Supertrend、HMA、PSAR、RSI、MACD、WaveTrend、Stochastic、Bollinger Bands、ATR、RVI、OBV、CMF、VWAP、K Generate comprehensive trading signals based on line shapes, etc. The strategy adopts a scoring system, accumulates scores based on the weights of each indicator, triggers strong/weak long and short signals, and combines trend filtering (optional) and stop loss mechanism for trading management.
J12Matic Builder by galgoomA flexible Renko/tick strategy that lets you choose between two entry engines (Multi-Source 3-way or QBand+Moneyball), with a unified trailing/TP exit engine, NY-time trading windows with auto-flatten, daily profit/loss and trade-count limits (HALT mode), and clean webhook routing using {{strategy.order.alert_message}}.
Highlights
Two entry engines
Multi-Source (3): up to three long/short sources with Single / Dual / Triple logic and optional lookback.
QBand + Moneyball: Gate → Trigger workflow with timing windows, OR/AND trigger modes, per-window caps, optional same-bar fire.
Unified exit engine: Trailing by Bricks or Ticks, plus optional static TP/SL.
Session control (NY time): Evening / Overnight / NY Session windows; auto-flatten at end of any enabled window.
Day controls: Profit/Loss (USD) and Trade-count limits. When hit, strategy HALTS new entries, shows an on-chart label/background.
Alert routing designed for webhooks: Every order sets alert_message= so you can run alerts with:
Condition: this strategy
Notify on: Order fills only
Message: {{strategy.order.alert_message}}
Default JSONs or Custom payloads: If a Custom field is blank, a sensible default JSON is sent. Fill a field to override.
How to set up alerts (the 15-second version)
Create a TradingView alert with this strategy as Condition.
Notify on: Order fills only.
Message: {{strategy.order.alert_message}} (exactly).
If you want your own payloads, paste them into Inputs → 08) Custom Alert Payloads.
Leave blank → the strategy sends a default JSON.
Fill in → your text is sent as-is.
Note: Anything you type into the alert dialog’s Message box is ignored except the {{strategy.order.alert_message}} token, which forwards the payload supplied by the strategy at order time.
Publishing notes / best practices
Renko users: Make sure “Renko Brick Size” in Inputs matches your chart’s brick size exactly.
Ticks vs Bricks: Exit distances switch instantly when you toggle Exit Units.
Same-bar flips: If enabled, a new opposite signal will first close the open trade (with its exit payload), then enter the new side.
HALT mode: When day profit/loss limit or trade-count limit triggers, new entries are blocked for the rest of the session day. You’ll see a label and a soft background tint.
Session end flatten: Auto-closes positions at window ends; these exits use the “End of Session Window Exit” payload.
Bar magnifier: Strategy is configured for on-close execution; you can enable Bar Magnifier in Properties if needed.
Default JSONs (used when a Custom field is empty)
Open: {"event":"open","side":"long|short","symbol":""}
Close: {"event":"close","side":"long|short|flat","reason":"tp|sl|flip|session|limit_profit|limit_loss","symbol":""}
You can paste any text/JSON into the Custom fields; it will be forwarded as-is when that event occurs.
Input sections — user guide
01) Entries & Signals
Entry Logic: Choose Multi-Source (3) or QBand + Moneyball (pick one).
Enable Long/Short Signals: Master on/off switches for entering long/short.
Flip on opposite signal: If enabled, a new opposite signal will close the current position first, then open the other side.
Signal Logic (Multi-Source):
Single: any 1 of the 3 sources > 0
Dual: Source1 AND Source2 > 0
Triple (default): 1 AND 2 AND 3 > 0
Long/Short Signal Sources 1–3: Provide up to three series (often indicators). A positive value (> 0) is treated as a “pulse”.
Use Lookback: Keeps a source “true” for N bars after it pulses (helps catch late triggers).
Long/Short Lookback (bars): How many bars to remember that pulse.
01b) QBands + Moneyball (Gate -> Trigger)
Allow same-bar Gate->Trigger: If ON, a trigger can fire on the same bar as the gate pulse.
Trigger must fire within N bars after Gate: Size of the gate window (in bars).
Max signals per window (0 = unlimited): Cap the number of entries allowed while a gate window is open.
Buy/Sell Source 1 – Gate: Gate pulse sources that open the buy/sell window (often a regime/zone, e.g., QBands bull/bear).
Trigger Pulse Mode (Buy/Sell): How to detect a trigger pulse from the trigger sources (Change / Appear / Rise>0 / Fall<0).
Trigger A/B sources + Extend Bars: Primary/secondary triggers plus optional extension to persist their pulse for N bars.
Trigger Mode: Pick S2 only, S3 only, S2 OR S3, or S2 AND S3. AND mode remembers both pulses inside the window before firing.
02) Exit Units (Trailing/TP)
Exit Units: Choose Bricks (Renko) or Ticks. All distances below switch accordingly.
03) Tick-based Trailing / Stops (active when Exit Units = Ticks)
Initial SL (ticks): Starting stop distance from entry.
Start Trailing After (ticks): Start trailing once price moves this far in your favor.
Trailing Distance (ticks): Offset of the trailing stop from peak/trough once trailing begins.
Take Profit (ticks): Optional static TP distance.
Stop Loss (ticks): Optional static SL distance (overrides trailing if enabled).
04) Brick-based Trailing / Stops (active when Exit Units = Bricks)
Renko Brick Size: Must match your chart’s brick size.
Initial SL / Start Trailing After / Trailing Distance (bricks): Same definitions as tick mode, measured in bricks.
Take Profit / Stop Loss (bricks): Optional static distances.
05) TP / SL Switch
Enable Static Take Profit: If ON, closes the trade at the fixed TP distance.
Enable Static Stop Loss (Overrides Trailing): If ON, trailing is disabled and a fixed SL is used.
06) Trading Windows (NY time)
Use Trading Windows: Master toggle for all windows.
Evening / Overnight / NY Session: Define each session in NY time.
Flatten at End of : Auto-close any open position when a window ends (sends the Session Exit payload).
07) Day Controls & Limits
Enable Profit Limits / Profit Limit (Dollars): When daily net PnL ≥ limit → auto-flatten and HALT.
Enable Loss Limits / Loss Limit (Dollars): When daily net PnL ≤ −limit → auto-flatten and HALT.
Enable Trade Count Limits / Number of Trades Allowed: After N entries, HALT new entries (does not auto-flatten).
On-chart HUD: A label and soft background tint appear when HALTED; a compact status table shows Day PnL, trade count, and mode.
08) Custom Alert Payloads (used as strategy.order.alert_message)
Long/Short Entry: Payload sent on entries (if blank, a default open JSON is sent).
Regular Long/Short Exit: Payload sent on closes from SL/TP/flip (if blank, a default close JSON is sent).
End of Session Window Exit: Payload sent when any enabled window ends and positions are flattened.
Profit/Loss/Trade Limit Close: Payload sent when daily profit/loss limit causes auto-flatten.
Tip: Any tokens you include here are forwarded “as is”. If your downstream expects variables, do the substitution on the receiver side.
Known limitations
No bracket orders from Pine: This strategy doesn’t create OCO/attached brackets on the broker; it simulates exits with strategy logic and forwards your payloads for external automation.
alert_message is per order only: Alerts fire on order events. General status pings aren’t sent unless you wire a separate indicator/alert.
Renko specifics: Backtests on synthetic Renko can differ from live execution. Always forward-test on your instrument and settings.
Quick checklist before you publish
✅ Brick size in Inputs matches your Renko chart
✅ Exit Units set to Bricks or Ticks as you intend
✅ Day limits/Windows toggled as you want
✅ Custom payloads filled (or leave blank to use defaults)
✅ Your alert uses Order fills only + {{strategy.order.alert_message}}
fero.Laplace + MA TP/SL Strategy (10m)//@version=5Labne is a good technique for generating logic or theory.
Optimised XAU/USD (Gold, IC Markets, 30m)The Illyad Strategy 1.0 optimised for XAU/USD (Gold) on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +30,143.28 USD (+30.14%)
📉 Max Drawdown: 3.60% (3,945.84 USD)
🔁 Total Trades: 57
📈 Win Rate: 42.11% (24/57 trades)
⚖️ Profit Factor: 1.91
This setup shows steady performance and low drawdown on Gold — ideal for traders wanting to capture volatility while maintaining consistency.
🔧 Optimisation Notes:
Works best on the 30m timeframe.
Each instrument (forex, indices, commodities, stocks) has unique behaviour.
To maximise results, always optimise the parameters per symbol — e.g., Gold requires a different configuration than GBP/USD or NASDAQ.
💡 Best Use Cases:
Prop firm challenges & scaling funded accounts.
Long-term compounding with low risk.
Automated execution via TradingView alerts → MT5 for hands-free trading.
⚠️ Disclaimer:
This strategy is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test before going live.
📲 Next Steps:
This example demonstrates the Gold (XAU/USD) optimisation. The Illyad Strategy can be tuned for any forex pair, index, or commodity with proper optimisation.
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