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.
👉 Visit my profile for full automation solutions.
Indicators and strategies
Optimised GBP/USD (IC Markets, 30m)This is the Illyad Strategy 1.0 optimised for GBP/USD on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +19,501.97 USD (+19.50%)
📉 Max Drawdown: 3.57% (3,607.64 USD)
🔁 Total Trades: 37
📈 Win Rate: 51.35% (19/37 trades)
⚖️ Profit Factor: 2.08
This version shows steady profitability with controlled drawdown, making it highly effective for prop firm evaluations and scaling accounts.
🔧 Optimisation Notes:
Works best on the 30-minute timeframe.
Each symbol behaves differently — always optimise the algo per instrument (e.g. GBP/USD vs EUR/GBP vs Gold).
Parameters such as moving averages, risk, and SL/TP ratios can be tuned to maximise performance.
💡 Best Use Cases:
Prop firm challenges (FTMO, AquaFunded, MyForexFunds, etc.).
Scaling funded capital by trading multiple accounts simultaneously.
Full automation via TradingView alerts → MT5 integration.
⚠️ Disclaimer:
This script is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before going live.
📲 Next Steps:
This setup demonstrates the GBP/USD optimisation. The Illyad Strategy can be adjusted to perform across any forex pair, index, or stock with proper optimisation.
👉 Check my profile for full automation solutions.
Optimised GBP/CAD (IC Markets, 30m) - Automated TradingHere’s the Illyad Strategy 1.0 optimised for GBP/CAD on the 30-minute timeframe (IC Markets feed).
📊 Backtest Results (Jan 2024 – Aug 2025):
✅ Total P&L: +28,529.35 CAD (+28.53%)
📉 Max Drawdown: 3.61% (3,822.27 CAD)
🔁 Total Trades: 38
📈 Win Rate: 50.00% (19/38 trades)
⚖️ Profit Factor: 2.49
This setup shows strong performance with low drawdown, making it well-suited for prop firm trading and long-term portfolio compounding.
🔧 Optimisation Notes:
Works best on the 30-minute timeframe.
Each symbol has unique volatility and structure. To maximise results, you must optimise the algo per symbol (e.g., GBP/CAD vs EUR/USD vs NASDAQ).
Parameters such as moving averages, signal intensity, and SL/TP levels should be tuned to the instrument.
💡 Best Use Cases:
Prop firm challenges (FTMO, AquaFunded, MyForexFunds alternatives).
Running across multiple accounts simultaneously for compounding.
Automated execution via TradingView alerts → MT5 integration.
⚠️ Disclaimer:
This script is provided for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before live trading.
📲 Next Steps:
This version demonstrates the GBP/CAD optimisation. The Illyad Strategy can be tuned to work on any symbol (forex, indices, or stocks).
👉 Visit my profile for full automation solutions (TradingView → MT5)
Optimised EURGBP (IC Markets, 30m)Illyad Strategy 1.0 – Optimised EURGBP (IC Markets, 30m)
Description:
This is the Illyad Strategy 1.0 optimised for EURGBP on the 30-minute timeframe (IC Markets feed).
📊 Results (Jan 2024 – Aug 2025):
✅ Total P&L: +£31,032.15 (+31.03%)
📉 Max Drawdown: 2.86% (£3,576.85)
🔁 Total Trades: 39
📈 Win Rate: 58.97%
⚖️ Profit Factor: 2.92
This strategy focuses on controlled drawdown + consistent growth, making it ideal for prop trading challenges and long-term account compounding.
🔧 Optimisation:
Works best on the 30m timeframe.
Each symbol behaves differently — for maximum performance, you should optimise the parameters (MAs, SL/TP, intensity) to the instrument you want to trade.
Example: The EURGBP setup shown here differs from what you’d use on NASDAQ, XAUUSD, or stocks like Tesla.
💡 Best Use Cases:
Passing and scaling prop firm accounts (FTMO, AquaFunded, etc.).
Automated alerts → MT5 integration (hands-free trading).
Consistent, rule-based trading without emotion.
⚠️ Disclaimer:
This script is for educational purposes only. Past results don’t guarantee future performance. Always backtest and forward-test on demo before live trading.
📲 Next Steps:
This version shows the EURGBP optimisation. If you want to run it on other pairs, indices, or stocks → simply optimise parameters for that symbol.
👉 For full automation (TradingView → MT5 execution), check my profile for details.
Illyad Strategy 1.0 - Automate your alerts by connecting to MT5Illyad Strategy 1.0 – Automated Prop Trading System (30m Timeframe)
Description:
The Illyad Strategy 1.0 is a rule-based automated trading system designed for serious traders and prop-firm challenges.
🔑 Key Features:
Optimised to work best on the 30-minute timeframe.
Built-in money management to keep drawdown controlled.
Dynamic stop-loss / take-profit levels.
Works across forex, indices, and stocks.
Compatible with TradingView alerts → MT5 automation.
⚙️ Optimisation:
Each symbol has its own behaviour. For best results, you should optimise the parameters (moving averages, signal intensity, SL/TP ratios) on the symbol you want to trade. The algo adapts differently to EURUSD vs NASDAQ vs stocks like TSLA, so proper tuning is critical.
💡 Best Use Case:
Prop firm accounts (FTMO, MyForexFunds, AquaFunded, etc.).
Consistent returns without emotional decision-making.
Traders who want to scale multiple accounts at once.
⚠️ Disclaimer:
This script is for educational purposes. Past results do not guarantee future returns. Always backtest and forward test on demo before going live.
📲 Next Step:
This is the public version. If you’d like to connect it directly to MT5/MT4 for fully automated trading, visit my profile or contact me for details.
fero.karma algoUnderstand what stocks, currencies (forex), and cryptocurrencies are. Learn common terms like bull market, bear market, volatility, and liquidity.
Study Analysis: There are two main types of analysis:
Quantura - Quantitative AlgorythmIntroduction
“Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator.
Originality & Value
Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously:
RSI entry triggers confirm overbought/oversold reversals.
Market structure on a higher timeframe confirms trend direction.
Order block detection highlights zones of concentrated supply and demand.
Premium/Discount zones identify potential over- and undervaluation.
HTF EMA provides trend confirmation.
Optional candlestick patterns strengthen reversal or continuation signals.
An optional correlation filter compares the main asset to a reference instrument.
This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation.
Functionality & Indicators
Entry trigger: RSI exits from extreme zones.
Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction.
Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted.
Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit.
Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status.
Parameters & Customization
Timeframes: Independent HTF and LTF selection.
Trading direction: Long / Short / Both.
Session and weekday filters.
RSI length and thresholds.
Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation.
Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit.
Visuals: Toggle signals, candles, dashboard, custom colors.
Default Properties (Strategy Settings)
Initial Capital: 200,000 USD
Position Size: 1 BTC
Commission: 0.25%
Slippage: enabled (1 tick)
Pyramiding: 0 (one position at a time)
Note: The position sizing of 1 BTC per trade is intentionally set for backtesting demonstration. Most traders prefer to risk 1-5% of equity.
Backtesting & Performance
Backtests on BTCUSD (2 years) with the above defaults showed:
103 trades
Win rate: 42%
Profit factor: 1.3
Maximum drawdown: 10%
These results illustrate how the confluence model behaves, but they are not predictive of future performance . Users should re-test with their own preferred symbols, settings, and timeframes.
Risk Management
ATR-based stops and targets scale with volatility.
Commission and slippage are included by default for realistic modeling.
Opposite-signal exit helps capture trend reversals.
Session-end exit can close intraday positions before illiquid hours.
Breakeven option protects profits when available.
Although the default allocation uses 1 BTC per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%).
Limitations & Market Conditions
Performs best in volatile, liquid markets (e.g., crypto).
May struggle in prolonged sideways markets with low volatility.
News events and fundamentals outside user inputs can override signals.
Usage Guide
Add “Quantura – Quantitative Algorithm” to your chart in strategy mode.
Select HTF and LTF timeframes, trading direction, and session filters.
Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume).
Set sentiment and analysis bias in fundamental settings.
Adjust ATR multipliers and exits.
Review buy/sell signals and analyze performance in the Strategy Tester.
Author & Access
Developed 100% by Quantura . Distributed as an Invite-Only script . Access is granted upon request. Details are provided in the Author’s Instructions field.
Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
MW Futures Liquidity Scalper (FREE)MW Futures Liquidity Scalper (FREE) - ICT-Inspired Precision Trading
Unlock Market Edge with Smart Liquidity Hunting – Now Free on TradingView!
Imagine transforming chaotic futures and forex markets into a predictable playbook: spotting high-probability setups where liquidity pools get raided, FVGs (Fair Value Gaps) align with institutional bias, and risk-managed entries turn volatility into consistent edges. That's the power of the MW Futures Liquidity Scalper – an ICT (Inner Circle Trader) inspired strategy enhanced with machine learning for pattern recognition, correlation filters, and adaptive avoidance. Previously invite-only and paid, we're making the manual TradingView version completely free to empower more traders like you to master liquidity scalping without barriers.
This isn't just another indicator – it's a battle-tested system built for risk-tolerant traders who crave pattern identification, bulletproof risk management, and optimization tools. Whether you're a beginner needing educational setups or a pro seeking insights, this strategy delivers real-world value while always emphasizing: Trading involves substantial risk of loss and is not suitable for everyone. Past performance isn't indicative of future results.
Core Features & How It Works
Powered by advanced logic (imported from our proprietary library), this strategy scans for liquidity sweeps and FVGs every 15/30/60 minutes (customizable), aligning with ICT models like first-presentation bias in key sessions (Asia, London, NY AM/PM). Here's what sets it apart:
Liquidity & FVG Detection : Automatically identifies buy/sell-side liquidity pools and FVGs with customizable size filters (min/max handles). Uses volume imbalance for refined entries, with options for 2022-model FVGs post-liquidity purge.
Bias & Direction Filters : Integrates NDOG/NWOG (New Day/Week Opening Gaps), EMA crossovers (9/18 on daily/weekly/custom timeframes), macro time restrictions (e.g., xx:50-xx:10), and correlation with tickers like DXY (positive/negative sync).
Order Flow Analysis : Tracks Short-Term (STH/STL), Intermediate (ITH/ITL), and Long-Term (LTH/LTL) highs/lows for premium/discount entries – only trade in alignment with market flow.
Risk Management Mastery :
Stoploss placement at FVG/candle lows/highs, with min/max overrides and trailing stops (using close or high/low).
Breakeven logic: Auto-moves to breakeven after X handles in profit, with avoidance during high-risk times.
Funded account rules for Topstep (50k/100k/150k) or AMP Live, including max daily loss/drawdown, contract limits, and risk-per-trade caps.
Time-Based Controls : Define liquidity search (e.g., 09:30-10:00 AM range), trading windows, and avoidance periods (e.g., first 2 mins of macro, day-specific blocks like Mondays 10:00-10:29).
Entry & Exit Precision : Slippage adjustments, 75% body closure filter to avoid wick runs, min/max handle runs for TPs, runner contracts for unlimited upside, and clustering/merging of close TPs.
Visuals & Alerts : Color-coded FVGs (bullish green, bearish red, neutral blue), liquidity lines (purged/non-purged), bias dashboard, and customizable alerts for entries, breakevens, and trails.
Backtest on futures like ES or NQ, or forex pairs – it processes on every tick for realism (with bar magnifier). No internet or extra installs needed; just add to your chart and tweak inputs.
Educational Resources
Dive deeper with our FREE Manual : Download the comprehensive guide at >>Manual with full documentation<< for setup tips, ICT breakdowns, and risk disclaimers.
Check out case studies: >>Case Studies Playlist<<
Step-by-step tutorials: >>Tutorial Playlist<<
Discord: >>Questions? Join Discord here<<
Ready to scalp liquidity like a pro? Add this to your chart now!
THE BATATAH SAUCE BTC.PERP TRADING STRAT12hr hour is the sweet spot
great profit factor
decent risk management avg losing (back tested for 5 yrs and does alright till even 2018)trade 8.21% vs avg winning 174.87% (back tested for 5 yrs and does alright since even start2018)
Its alright on daily as well as 6hr but lower just gets more noisy
Breakout + Volume + HH/LL (Clean labels TP1-3)Breakout + Volume + HH/LL Strategy (Clean Labels)
This strategy combines breakout confirmation, volume strength, and market structure (Higher Highs / Lower Lows) to identify high-probability trade setups.
Breakout Filter: Uses a Donchian channel to detect price breakouts above resistance or below support.
Volume Confirmation: Requires volume to exceed the moving average of volume by a chosen multiplier, filtering out weak or false breakouts.
Market Structure: Long trades are only allowed if a Higher High (HH) has formed, and short trades only if a Lower Low (LL) has formed.
Trade Execution Rules:
For BUY trades: Entry at breakout, stop loss (SL) below the last pivot low, and three take profits (TP1–TP3) based on configurable risk-reward ratios.
For SELL trades: Entry at breakout, stop loss above the last pivot high, with TP1–TP3 levels set symmetrically below the entry.
Labels on Chart:
Each signal is marked with a clean label showing only:
Trade direction (BUY or SELL)
Entry price
Stop Loss
TP1, TP2, TP3
This makes the chart uncluttered while still providing all key trade information for execution or backtesting.
Energy Across TimePrivate Use-Only Version
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Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Integer sagittis mi ut leo efficitur, vel feugiat nibh suscipit. Morbi sed vulputate risus, eu volutpat massa. Vestibulum luctus, nisl non posuere vehicula, enim urna bibendum est, sit amet luctus libero sapien a massa. Nullam blandit nulla non massa pretium, nec fermentum turpis vestibulum. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nam condimentum congue feugiat. Donec commodo, libero nec congue finibus, augue mi malesuada mi, sed suscipit erat sem ut orci. Phasellus dictum justo at ligula tincidunt, nec dictum libero scelerisque. Nulla et faucibus nulla, id aliquet magna. Fusce congue, justo in luctus iaculis, lectus dolor ultrices nunc, nec euismod lectus lorem ac lectus.
Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Nam dictum sapien non mattis aliquet. Integer semper venenatis libero, sit amet posuere magna laoreet at. Aliquam erat volutpat. Aenean congue luctus felis, vel blandit velit posuere nec. Aenean feugiat, purus at vulputate posuere, ipsum nulla dignissim arcu, nec sollicitudin quam est sed purus. Aenean bibendum, ligula a luctus venenatis, erat nisl sagittis eros, id ultrices purus nibh ac nunc. Sed egestas sodales dui, vitae volutpat mauris facilisis vitae. Nam sit amet dolor ac lorem luctus luctus. Morbi iaculis fringilla bibendum. Mauris ut ullamcorper leo. Sed fringilla fermentum nunc, eget egestas orci porttitor a. Aenean sit amet mi ligula. Suspendisse sed efficitur odio. Quisque in turpis eget mauris ullamcorper faucibus. Sed euismod turpis ut arcu posuere tincidunt.
Simple SMA StrategySimple strategy to buy based on closing above SMA, and sell based on closing below SMA.
You can change the SMA value and your start date to customize the strategy for your initial entry date and SMA value. SMA is based on chart time frame.
SPX EMA 9/21 + VWAP Strategy1. Temporality: 2 minutes.
2. EMA 9 and EMA 21:
• Purchase Call: when EMA 9 crosses up EMA 21 and the price is > VWAP.
• Put : when EMA 9 crosses down EMA 21 and the price is < VWAP.
3. Stop and Take Profit:
• Stop: candle closure on the other side of the VWAP.
• TP: configurable in points (e.g. +10 pts, +20 pts) or up to the opposite crossing of EMAs.
• Long enters when EMA 9 crosses up 21 and the price is above VWAP.
• Short enters when the EMA 9 crosses down the 21 and the price is below VWAP.
• TP and SL in SPX points (configurable in inputs).
• You can run in 2 minutes on SPX.
EMA and BB Analysis for US100 V250829This TradingView strategy generates buy and sell signals based on exponential moving average (EMA) crossovers, limited by other factors such as Bollinger Bands, volume, and EMA distance.
It uses EMAs of 16, 24, 32, and 64 periods, as well as the angles of each of these EMAs.
Entry Conditions:
EMA Crossover Entry:
When EMA16 crosses EMA64 and the following conditions are met:
EMA16, EMA24, EMA32 are aligned — for a buy signal:
EMA16 > EMA24
EMA24 > EMA32
EMA32 > EMA48
(and the opposite for a sell signal)
EMA Angles:
The angles of the EMAs must also follow the same alignment.
Divergence Entry:
When the distance between EMAs 16, 24, 32, and 48 increases.
Entry Limitations:
Once an entry is detected, it is filtered by several conditions:
When the distance between the entry candle and EMA96 is more than two candles of the maximum size over three periods.
The stop loss is set as two candles of the maximum size over three periods. If this stop loss exceeds 6,000 points (adjustable parameter), the entry is invalid.
When the price is at the edge of the Bollinger Band with a 1200-period setting (equivalent to a 1-hour Bollinger Band).
When the Bollinger Band's middle line is descending and a buy signal is triggered (and vice versa).
When volume drops below a certain threshold.
When a sideways market movement is detected.
All these entry limitations are configurable parameters and can be enabled or disabled.
ORB FVG Strategy with telegram V6.1Summary
Intraday NY-session strategy with Opening-Range bias (09:30–10:00 NY), FVG entries (incl. optional HTF FVGs), momentum filters (LinReg slope & Williams %R), limit entries inside the zone, SL from FVG anchors, and TP via risk-reward. Includes session/trade caps, pending-order handling, auto-cancel at NY time, and optional Telegram webhook alerts.
Feature Overview
Opening Range & Bias: OR high/low built until 10:00 NY, then frozen. Bias from confirmed 5-minute candles (modes: Body Close, Complete Candle, Wick Only).
FVG Scanner: Bull/bear FVGs (choose wick or body gaps), min size, auto-extend, mitigation cleanup (touch or 50%).
HTF FVG (10 min): Optional – displayed after ≥ 2 consecutive FVGs; cleans up on touch/50%.
Entry/SL/TP: Entry at X% fill (+extra %) within the FVG; SL from FVG candle / FVG-1 / FVG-2 (smart) + buffer; TP via risk-reward.
Momentum Filters: LinReg slope (MLL) + Williams %R with threshold/slope filters (individually switchable).
Intrabar Mode (optional): Immediate Open/intrabar entry on touch (calc_on_every_tick=true) or classic bar-close confirmation (toggle).
Trade Management: Max trades/day, pending cap, auto-cancel at defined NY time, pause after first winner (optional).
Telegram: Programmatic alerts via alert() with Telegram-ready JSON payload.
Parameters (compact)
Group Parameter Purpose
Sessions Trading session, Opening range Trading/OR window (internal NY TZ)
Bias Body Close / Complete Candle / Wick Only Bias confirmation relative to OR
Liquidity LQ session, lookback days, cleanup points, show lines Intraday liquidity marks & cleanup
FVG Min size, wick/body, colors, extend, cleanup Detection/visualization & validity
HTF FVG (10 m) Toggle/Display/Colors Conservative HTF filter/POI
Entry Fill %, extra %, max pending, validity (bars), cancel time, intrabar switch Execution timing, order caps, auto-cancel
Stop Loss Source: Candle / -1 / -2 (smart), buffer (points) SL anchor from FVG history + safety offset
Take Profit Risk-Reward (R:R) Target calculation
Momentum LinReg length/min slope, W%R length/min slope, HUD Trend/momentum filters
Trade Mgmt Max trades/day, pause after win Daily cap / risk cooldown
Telegram Enabled, tester, interval, channel id Webhook output & test signals
Debug & Info Debug panel, rejection reasons On-chart status/diagnostics
Alerts / Telegram Webhook (Quick Setup)
Create an alert with Condition: “Any alert() function call”.
Webhook URL: api.telegram.org
Message: leave empty (the strategy provides JSON via alert() – includes chat_id, parse_mode, text).
Ensure your bot can post to the channel and the chat_id is valid.
Repainting & Backtesting
HTF series via lookahead_off on closed higher-TF candles; FVG detection on confirmed bars (barstate.isconfirmed).
Intrabar/Open entries allow earlier fills but typically cause differences between backtest and live (tick granularity/slippage, limit touch on bar OHLC).
For reproducibility, trade without intrabar (bar-close only).
Limitations
No full tick simulation; limit fills rely on bar OHLC.
Liquidity “cleanup” is rule-based (not an orderbook).
Telegram depends on correct webhook configuration.
Tips
Timeframes: M5 (intrabar)
Start with modest R:R (e.g., 1.5–2.0) and tune filters carefully.
Disclaimer
No financial advice. Past results do not guarantee future performance. Use responsibly and follow Public Library rules.
License / Credits
© 2025 Lean Trading (Lennart Pomreinke). License: MPL-2.0.
Changelog
V06.1: Intrabar switch (Open/intrabar vs bar-close), Telegram sanitizer & tester, HTF-FVG cleanup, refined pending/cancel logic, debug panel (status & rejections).
Std Smart Pivot V5.0 by SJKimStd Smart Pivot V5.0 by SJKim
Std Smart Pivot V5.0 by SJKim
Std Smart Pivot V5.0 by SJKim
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.
BOLL Omakase 2.0testing own {
"symbol": "{{ticker}}",
"price": {{close}},
"time": "{{time}}"
}{
"symbol": "{{ticker}}",
"price": {{close}},
"time": "{{time}}"
}{
"symbol": "{{ticker}}",
"price": {{close}},
"time": "{{time}}"
}{
"symbol": "{{ticker}}",
"price": {{close}},
"time": "{{time}}"
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SuperPower_369The supertrend is a trend-following overlay placed directly on price charts as a single line that shifts color and position according to trend direction. This indicator was developed by Olivier Seban, primarily to simplify trend detection for traders. Its value is calculated using the Average True Range (ATR) and a multiplier to adjust for market volatility.
Nor Smart Pivot V5.0 by SJKimNor Smart Pivot V5.0 by SJKim.
Nor Smart Pivot V5.0 by SJKim.
Nor Smart Pivot V5.0 by SJKim.
Golden Cross + Support/Resistance + SL/TP + SignalsGolden Cross + Support/Resistance + SL/TP + Signals
Golden Cross + Support/Resistance + SL/TP + Signals
ORB Strategy W/ Confluence This is an Opening Range Breakout (ORB) strategy designed for intraday trading on futures or indices (e.g., MNQ, MES, ES). It identifies the opening range (default 30-minute session from 9:30-10:00 ET) and enters long on a bullish breakout above the range high (ORH) or short below the range low (ORL), with optional daily bias filtering. Targets are set as multiples of the range width (default 50% per level), with partial profit-taking at each hit level. Stop-loss is dynamically set based on a factor of the range width (default 1.0x full range). Optional confluence filters (RSI >70 for long/<30 for short, price above/below 200 EMA, Williams Vix Fix above/below 0.3, or following previous day's close color) can be enabled for entry confirmation. Position sizing is fixed (default 10 contracts), with an option to double after a losing day. Entries are restricted to a user-defined session (default 8:00-17:00), and all positions close at a specified time (default 16:00 ET) to comply with prop firm rules.
Key Parameters to Test:
Instrument/Timeframe: Test on 5-min or 1-min charts for MNQ/MES/ES futures (e.g., tick value 0.5 for MNQ, 1.25 for MES).
Core Settings: OR timeframe=30m, Target %=50, SL Factor=1.0, TP % Remaining=20 (for partial closes). Enable/disable bias ("Daily Bias" for conservative entries).
Filters: Start with all off; test enabling RSI (len=14, level=50, offset=20), EMA (len=200), WVF (period=22, thresh=0.3), and Prev Day Trend individually/combined to see impact on win rate/false signals.
Risk/Sizing: Fixed contracts=10; test double sizing after loss. For risk-based sizing, adjust to use equity risk % (e.g., 1%) and tick value.
Time Rules: Entry session=0800-1700, Exit=16:00; test on NY session data.
Expected Behavior & Test Focus:
Entry Logic: Long signal on close crossover ORH (or ORH + target1 if bearish bias); short on crossunder ORL. Expect 1-2 trades per day, filtered by confluence to reduce whipsaws.
Exits: SL at ORL - factor*range for long (vice versa for short); partial TP at each target level (e.g., 20% of position at T1, reducing thereafter). Full close at 4 PM if open.
Backtest Metrics: Aim for >50% win rate, positive expectancy over 1-2 years (e.g., 2023-2025 NY session data). Monitor drawdown (<10%), profit factor (>1.5), and Sharpe ratio. Test sensitivity to volatility (e.g., high-vol days may hit more targets but risk larger SL). Visuals: OR box, dashed targets/SL lines, signals (▲/▼).
Edge Cases: Test on low-vol days (tight range, fewer breakouts); gaps; after news events. Ensure no over-entries (pyramiding=0) and daily reset works.
This setup emphasizes disciplined intraday breakouts with risk control—backtest on historical data to validate profitability before live use.
SMT Strategy TestingTesting strategy to find optimal settings. Uses SMT divergences to give signals.
