Gann High Low Strategy## Trend & Structure Strategy — Overview
This strategy is designed to follow directional market moves by using a **dynamic price reference** to identify transitions between strength and weakness.
### Core concept
* It visually highlights when the market shifts from a **favorable phase** to an **unfavorable phase**, and vice versa.
* Signals are generated only when price behavior shows **minimum structural consistency**, helping to avoid random or low-quality conditions.
### Entries & trade management
* Entries aim to align with moments where price shows a **renewed directional intent**.
* Trade management is based on **technical price references**, allowing risk and objectives to adapt naturally to the current market context.
* Key directional and operational areas are clearly displayed on the chart to keep decision-making simple and visual.
### Best use cases
* Performs best in markets with **clear directional movement** and readable transitions.
* In very tight or choppy conditions, a more selective approach may be required.
*This content is for educational purposes only. Always test on different markets and timeframes before live use.*
Indikator dan strategi
Momentum Quality Index Strategyfiles.fm
Welcome to the Momentum Quality Index Strategy!
This is a fairly conservative strategy with a sharp criteria for entries and taking profits. This strategy has been tested amongst the top 50 stocks with volatility over 2%, and the verdict was that the profitability was often times over 85% profitability, often times reaching over 90% profitability. This strategy thrives in more volatile environments, often times beating the buying and holding strategy YTD performance by large margins.
This strategy is highly optimized for the 30 minute chart, giving insights into shorter term movements. It is based on cash trades of $1,000 per position, with a maximum of 4 trades being placed at once.
This strategy is optimized for common stock trading in more liquid markets, and not yet optimized for options trading (however I plan on developing highly profitable strategies for this purpose soon). The take profit is customizable.
I would refer to the image link I have posted at the top of this article for the strategy's effectiveness. The strategy report on this article isn't accurate, as this strategy is based on trading $1,000 per trade, therefore over longer term periods of time will not be as successful due to the fact that there is no compounding. However, over the course of smaller time frames (such as one year), it beats buying and holding of many assets.
This strategy is meant for day trading and short term swing trading, and is not meant to beat buying and holding of successful assets over the course of long periods of time.
FTSE Santa - Late Dec 12d (Optimised Exit)Simple Santa Rally Strategy. Once a year, in late December, it waits for a sensible (non-spiky) day to get long FTSE, then either stops out around −4%, gets trailed out in profit if it rallies, or exits after about 12 trading days.
ORB Strategy - EnhancedThis algo is for setting and forgetting ORB. Does require an understanding of how to tweak trading factors
Institutional Execution Engine v3 [Nishith Rajwar]
Institutional Execution Engine v3
Market-Structure-Driven Execution Framework (Indicator + Strategy Hybrid)
The **Institutional Execution Engine v3** is a professional-grade execution framework designed to model **how institutional participants interact with liquidity, volatility regimes, and market structure**.
It is built for **index traders, crypto traders, and systematic intraday participants** who require **non-repainting, forward-validated signals** with strict risk control.
This is **not a mashup of indicators**.
Every module is purpose-built and interacts through a unified execution pipeline.
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🔍 Core Concepts & Methodology
1️⃣ Market Structure & POI Engine
* Identifies **Points of Interest (POIs)** using swing structure, volatility context, and liquidity positioning
* POIs are **confirmed only after bar close** (strict non-repaint enforcement)
* Adaptive pivot sensitivity based on selected execution preset
2️⃣ Liquidity-Aware Scoring System
Each potential trade is filtered through a **multi-factor execution score**, including:
* Structural alignment
* Volatility normalization (ATR regime)
* Liquidity reaction quality
* Directional efficiency
Trades are only allowed when the **minimum institutional score threshold** is met.
3️⃣ Regime Detection (Forward-Walk Safe)
The engine dynamically classifies market conditions into execution regimes:
* Trending
* Rotational
* Mean-reverting
Regime detection is **forward-walk compatible** and does **not leak future data**.
4️⃣ Risk-First Execution Model
* ATR-normalized stop placement
* R-multiple-based take-profit targeting
* Optional **single-trade-per-session guard**
* Strategy engine includes **open-trade protection** to prevent over-execution
5️⃣ Strategy + Indicator Hybrid
This script can be used in **two ways**:
* **Indicator mode** → discretionary execution with visual POIs, signals, and context
* **Strategy mode** → systematic backtesting with full TradingView Strategy Tester support
Both modes share the **same execution logic** (no divergence).
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⚙️ Preset-Driven Architecture
Built-in execution presets auto-configure internal parameters without changing core logic:
* **Scalp (Index)**
* **Daytrade (Index)**
* **Crypto Intraday**
* **Institutional Research (FWalk)**
Presets adjust pivot sensitivity, score thresholds, ATR behavior, and risk profile — while preserving execution integrity.
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## 🚫 Non-Repainting & Data Integrity
* No look-ahead bias
* No future bar references
* No repainting signals
* VWAP and regime logic reset correctly per session
* Safe handling of strategy.opentrades to avoid execution errors
All signals are **bar-close confirmed**.
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📊 Who This Is For
✔ Index traders (NIFTY / BANKNIFTY / SENSEX)
✔ Crypto intraday traders
✔ Systematic traders validating execution logic
✔ Traders who value **structure + liquidity + risk discipline** over indicators
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⚠️ Disclaimer
This script is a **research and execution framework**, not financial advice.
Always forward-test and adapt risk parameters to your instrument and timeframe.
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**Author:** Nishith Rajwar
**Version:** v3
**Execution Philosophy:** Trade where institutions execute — not where indicators react.
Monarch Strategies Altcoin Optimized Cycle & Trend Strategy (1W)The Altcoin Optimized Cycle & Trend Strategy (1W) is a professional, long-term cycle and trend trading strategy designed specifically for altcoins such as Stellar (XLM). It is built for traders and investors who want to systematically capture explosive altcoin cycles while avoiding emotional decision-making and excessive trading.
The strategy operates on the weekly timeframe (1W) and focuses on identifying major accumulation zones, breakout phases, and distribution tops that typically define altcoin market behavior.
NIFTY T1 & T2 Strategy (65% SL, 15:15 Exit)Time based trading strategy without any indicator and reflecting operators move
Monarch Strategies BTC Optimized Cycle & Trend Strategy (1W)The "BTC Optimized Cycle & Trend Strategy (1W)" is a high-quality, long-term optimized trading strategy for BTC/USD, designed for traders and investors who want to systematically trade major market cycles — without overtrading, without emotions, and without unnecessary complexity.
The strategy is specifically built for the weekly timeframe (1W) and focuses on what Bitcoin has historically done best: strong, multi-year trend movements.
ARVEXV1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”:
This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
ARVEX V1“Failed Reversal – Opposite Candle Only (No Doji/Hammer/Hanging Man)”:
This strategy captures failed reversal attempts where the current candle is opposite to the previous candle and volume is higher. It enters long if a bearish candle fails to break a previous bullish candle’s low, and short if a bullish candle fails to break a previous bearish candle’s high. Signals are canceled for Doji, Hammer, or Hanging Man candles. Entries only, fully backtestable.
Ribbon Cross Strategy This strategy uses a simple moving-average ribbon crossover system with a customizable entry filter. You can choose whether trades trigger near the fast or slow average, allowing flexibility in capturing early or confirmed trend moves.
It’s best suited for index trading on intraday timeframes , helping identify short-term trend reversals and continuations with clear visual cues and backtestable logic.
Long Bollinger Bands StrategyLong Bollinger Bands Strategy (XAUUSD) — Lower Band Reversal + 4-Step Scaling + Daily DD Guard
Long Bollinger Bands Strategy is a long-only Bollinger Bands reversal/mean-reversion strategy designed mainly for XAUUSD. It looks for a bearish push below the Lower Band followed by a bullish reclaim on candle close, then optionally scales in up to 4 entries (E1–E4) as price pulls back.
1) Risk Management & Position Sizing
The strategy includes a USD-based risk input: Risk per setup (USD).
It automatically calculates position size using the average SL distance across the 4-entry structure, then distributes size across entries with built-in weighting.
BackTest Lot checkbox:
OFF (default): uses normalized sizing (qty divided by 100)
ON: uses raw qty for backtesting workflows
2) SL/TP Management (Locked SL + Optional Range TP)
Stop Loss (SL): based on SL distance (pips from entry) from E1.
Take Profit (TP):
If TP (pips) > 0: fixed pip TP from E1
If TP (pips) = 0: TP is based on the signal candle range (high–low)
SL Lock: once the stop is tightened, it never loosens again (only moves in a protective direction) until the trade closes.
3) Daily Drawdown Protection
Tracks equity by day and stops opening new positions once Max daily drawdown (USD) is reached for that day.
4) Notes / Disclaimer
This strategy does not use volume, RSI, fundamentals, news filters, or session filters. Users should apply discretion and consider confirmations from other tools and market context. Results depend on symbol settings, spread, commission, and volatility regime. Always forward-test before using in live trading.
Designed for XAUUSD. The script uses an internal pip conversion (pipSize = 0.1) consistent with common gold quoting; verify your broker’s pip definition for best alignment.
5) Suggested Usage
Best used during volatile conditions or after a clear lower-band sweep and reclaim.
Consider pairing with trend filters or higher-timeframe bias.
6) Release Notes
Initial release: Long-only BB reclaim logic with 4-step scaling
Added: SL/TP lock logic and visual SL/TP lines
Added: Daily drawdown guard and backtest lot toggle OANDA:XAUUSD
Buy-Dip / Sell-Pullback Buy the Dip / Sell the Pullback – Trend-Following Strategy (EOD → Next Day Execution)
Overview
This is a trend-following futures strategy designed to participate in pullbacks within established trends, not to predict reversals.
It works on End-of-Day (EOD) confirmation and executes trades on the next trading session, making it suitable for positional and swing traders.
The strategy combines momentum, trend direction, volatility, and price location to filter for high-quality setups while avoiding overtrading.
🔍 Core Philosophy
Trade only in the direction of the prevailing trend
Buy dips in uptrends
Sell pullbacks in downtrends
Avoid chasing price after extended gaps
Use volatility-adjusted risk management (ATR-based SL & targets)
📊 Indicators Used
RSI (20)
Measures underlying momentum strength
Stochastic Oscillator (55, 34, 21)
Confirms pullback exhaustion within a trend
Supertrend (10, 2)
Defines primary trend direction
Bollinger Bands (20, 2)
Provides structural trend bias
ATR (5)
Used for:
Entry gap filter
Stop-loss
Profit target
Supertrend buffer
✅ Long (Buy) Setup – Evaluated at EOD
A long setup is generated when all of the following conditions are satisfied at the close of the trading day:
RSI(20) is above the bullish threshold (default: 48)
Stochastic %K is above %D (confirming pullback momentum)
Supertrend direction is bullish
Price is near or above Supertrend, allowing a volatility-adjusted buffer (ATR-based)
Price is above the Bollinger Band middle line
This combination ensures:
The market is trending up
Momentum supports continuation
The pullback is controlled, not a breakdown
❌ Short (Sell) Setup – Evaluated at EOD
A short setup is generated when:
RSI(20) is below the bearish threshold (default: 52)
Stochastic %K is below %D
Supertrend direction is bearish
Price is near or below Supertrend, with an ATR buffer
Price is below the Bollinger Band middle line
This filters for pullbacks within sustained downtrends.
⏰ Trade Execution Logic (Next Day Rule)
Once a setup is confirmed at EOD, a trade is attempted on the next trading session
To avoid chasing gaps:
Long trades are allowed only if price does not move more than a defined multiple of the previous day’s True Range
Short trades follow the same logic in reverse
This is implemented via limit orders, ensuring realistic backtesting and execution behavior
🛑 Risk Management
All exits are volatility-adjusted using ATR:
Stop-Loss:
1.1 × ATR(5) from entry price
Target:
2.2 × ATR(5) from entry price
This results in a risk–reward ratio of approximately 1:2
ATR is frozen at entry to avoid forward-looking bias.
🧠 Why This Strategy Works
Avoids low-quality trades during consolidation
Participates only when trend + momentum align
Prevents emotional gap-chasing
Adapts automatically to changing volatility
Suitable for index futures and liquid stocks
📌 Recommended Usage
Timeframe: Daily
Instruments:
Index Futures (e.g. NIFTY, BANKNIFTY)
Highly liquid stocks
Market Type: Trending markets
Not ideal for: Sideways or low-volatility environments
⚙️ Customization Tips
You can control trade frequency and aggressiveness by adjusting:
RSI thresholds
Supertrend buffer (ATR multiple)
Gap filter multiplier
Stochastic edge parameter
Looser settings → more trades
Stricter settings → higher selectivity
⚠️ Disclaimer
This strategy is for educational and research purposes only.
Backtest results do not guarantee future performance.
Always validate with paper trading before deploying real capital.
PMax - Asymmetric MultipliersDescription: This script is an enhanced version of the popular PMax (Profit Maximizer) indicator, originally developed by KivancOzbilgic. It has been converted into a full strategy with advanced customization options for backtesting and trend following.
Key Features & Modifications:
Asymmetric ATR Multipliers: Unlike the standard version, this script allows you to set different ATR multipliers for Upper (Short/Resistance) and Lower (Long/Support) bands.
Default Upper: 1.5 (Tighter trailing for Short positions)
Default Lower: 3.0 (Wider trailing for Long positions to avoid whipsaws)
Expanded MA Types: Added HULL (HMA) and VAR (Variable Index Dynamic Average) options.
VAR is highly recommended for filtering out noise in ranging markets.
HULL is ideal for scalping and faster reactions.
Built-in Risk Management: A fixed 5% Stop Loss mechanism is integrated into the strategy. It protects your capital by closing positions if the price moves 5% against you, even if the trend hasn't reversed yet.
Visibility Fix: Solved the issue where the PMax line would disappear or start at zero in the initial bars.
How to Use:
Use the VAR MA type for trend following in volatile markets.
Adjust the "Stop Loss Percent" input to fit your risk appetite.
The strategy employs an "Always In" logic (Long/Short) but respects the hard Stop Loss.
Credits: Original PMax logic by KivancOzbilgic.
Nifty-50 Futures Trading Ideas/ Strategyb]Nifty-50 Futures Trading Ideas is a trend-following strategy designed for study and backtesting .
The strategy identifies directional bias using a structured price-based approach and applies ADX + DI and RSI filters to validate trend strength.
It includes inbuilt risk-management logic such as Stop-Loss, Take-Profit, ATR-based exits, separate maximum loss per trade (₹) for long and short positions, and optional date/session filters.
This script is provided for educational and analytical purposes only and is not a trading signal or investment recommendation.
Quantum X StrategyQuantum X Strategy is a structured market-behavior based trading model developed for Midcap Nifty on the 15-minute timeframe.
It focuses on identifying directional strength, momentum alignment, and price participation using a multi-factor confirmation approach.
Rather than relying on a single indicator, the strategy evaluates multiple dimensions of price movement to determine whether the market environment is favorable for participation. This helps in avoiding random entries during low-quality or sideways conditions.
🔍 Conceptual Framework
The strategy dynamically observes:
Momentum expansion and contraction
Trend participation strength
Directional consistency over recent price action
Each market condition contributes to an internal decision process, allowing trades only when sufficient alignment is present. This approach helps filter out noise and improves trade selectivity.
📊 Trade Execution Philosophy
Trades are initiated only when market structure shows clear directional intent
Both bullish and bearish opportunities are evaluated independently
Positions are exited when momentum balance weakens or returns to a neutral state
No over-trading during indecisive phases
The system is designed to stay inactive during uncertain market conditions, which is a key part of its risk-aware behavior.
🕒 Backtesting Scope
For consistency and reliability, the strategy logic is activated only from January 2024 onward, ensuring analysis is focused on recent market behavior rather than outdated volatility patterns.
⚙️ Usage Guidelines
Instrument: MIDCAPNIFTY
Timeframe: 15 Minutes
Suitable for intraday and short-term positional observation
Works best when combined with disciplined risk management
⚠️ Disclaimer
This strategy is provided strictly for educational and research purposes.
Market conditions change, and past performance does not guarantee future results. Users should always forward-test and apply their own risk management before live use.
Time Syndicate: Prop Firm SpecialTime Syndicate – Prop-Firm Special (Exit-Focused Edition)
Overview
Time Syndicate – Master Strategy is a non-repainting, cycle-aware execution framework designed to trade structured market phases rather than random price movement.
This version has been specifically updated to focus on exit efficiency , trade management, and controlled trade churn.
The strategy is built to align trades with time-based market behavior and liquidity expansion, without relying on indicator stacking or repainting logic.
What This Version Is Optimized For
This update emphasizes:
• More structured exits
• Increased trade churning
• Improved realized profitability
• Mechanical trailing stop execution
The goal is not to increase entries, but to extract more value from correct ones .
Recommended Markets
• EUR/USD
• NASDAQ (NQ / US100 Cash CFD)
This strategy is primarily designed and tested for these instruments.
Recommended Cycles & Timeframes
90-Minute Cycle → Use 1-Minute chart
Session Cycle → Use 5-Minute chart
Do not mismatch cycle selection and chart timeframe.
Important Settings (Do Not Over-Optimize)
• Exit Mode: Trailing Stop (Default & Recommended)
• Max Trades Per Cycle: 1
• Target: 1 : 1.5
• Most other settings should remain unchanged
This is not a parameter-tuning strategy.
Trade Behavior
• Trade Status remains FLAT until a valid trade is triggered
• After entry, the dashboard displays:
– Entry Price
– Initial Stop Loss
– Trailing Trigger Level
– Live Trailing Stop (once activated)
In most cases, the entry candle’s low/high will act as the initial stop loss.
Exit Logic
Trailing Stop Mode
• Trailing activates only after price reaches the required expansion level
• Trailing is mechanical and non-emotional
• Live trailing stop updates are shown clearly on the chart
Fixed Target Mode
• Available for testing purposes
• Not recommended for live execution
Non-Repainting Logic
• All zones, cycles, and trade logic are non-repainting
• No historical shifting
• What appears live is final
Known Limitations (Current Version)
• Quantity calculation can be aggressive, especially on 1-minute charts
• Manual quantity is recommended for now
• Not every valid signal should be traded
These will be refined in future updates.
Recommended Trading Window
For US100 Cash CFD:
4:00 PM – 8:00 PM IST
Outside this window, liquidity behavior becomes inconsistent.
Advanced Usage Tip
Download strategy trade data and analyze:
• Time of day
• Cycle performance
• Trade outcomes
Use this data to determine the most effective trading hours for your instrument.
Purpose of This Strategy
This is not a signal-spamming indicator.
It is a professional execution framework built to:
• Enforce discipline
• Improve exit quality
• Reduce emotional decision-making
• Align trades with structured market phases
Final Note
This strategy does not predict the market.
It waits, reacts, and extracts.
Use it with patience, proper risk control, and respect for time-based structure.
Smart Money Bot [MTF Confluence Edition]Uses multi-time frame analysis and supply and demand strategy.
Best used when swing trading.
Wealth Pilot AlphaTrend + RSI StrategyWealth Pilot AlphaTrend + RSI Strategy
Works on Multi Time frames and across Different pairs
Nifty-50 Futures trading ideas with RSI and ADX FilterNifty Futures @15M is a trend-following strategy derived from the Savitzky Flow Bands methodology by ChartPrime , adapted into a complete strategy with structured trade execution and risk controls.
The strategy identifies directional bias using a Savitzky-smoothed price structure and executes trades based on trend changes or continuation, depending on the selected entry mode.
Configurable Entry Modes are : 1. Change Only (trend reversal based) 2.Continuation Allowed (trend follow-through).
Optional ADX + DI and RSI filters help validate trend strength and avoid unfavorable market conditions.
Risk management features include configurable Stop-Loss and Take-Profit, ATR-based exits, trailing stop, and separate maximum loss per trade (₹) for long and short positions.
Date and session filters are provided for controlled backtesting.
This script is published for educational and analytical purposes only and is intended for research and backtesting, not as a trading signal or investment recommendation.
Credits:
Original indicator concept: Savitzky Flow Bands by ChartPrime
Strategy conversion & enhancements: @Alpha_Trinity
FxAST LiteWave Universal Profiles (intraday / swing)FxAST Lite Wave — Universal (Profiles)
This strategy is intended for educational and analytical use.
Derivative works must retain attribution and license terms.
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Overview
FxAST Lite Wave is a rule-based trend participation strategy designed to adapt across multiple markets and timeframes using a simple profile switch.
Rather than attempting to predict reversals or tops and bottoms, the strategy focuses on identifying continuation opportunities once directional alignment and market participation are already present.
Its purpose is to provide a structured, repeatable framework for studying trend behavior and managing trades within established directional moves.
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How It Works
FxAST Lite Wave evaluates market conditions using a layered confirmation process that includes:
• Directional bias
• Trend alignment
• Momentum participation
• Volatility suitability
• Market regime awareness
Trades are only considered when these conditions align, helping to reduce low-quality signals and overtrading during unfavorable environments.
Two built-in profiles are provided:
Intraday — designed for shorter-term participation
Swing — designed for higher-timeframe continuation
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Core Concepts (Plain English)
Direction
Identifies which side of the market is currently in control.
This answers:
“Is pressure aligned for continuation?”
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Momentum
Confirms that price is moving with intent rather than drifting or stalling.
This answers:
“Is participation present?”
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Regime
Filters out unfavorable conditions such as congestion, compression, or low-energy chop.
This answers:
“Is this a tradable environment?”
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Continuation Focus
Entries are designed to occur after alignmen t, not at arbitrary turning points.
The strategy favors:
• Pullbacks within trend
• Momentum resumption
• Sustained directional movement
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Risk & Trade Management
FxAST Lite Wave includes structured trade management logic:
• Volatility-aware initial risk
• Optional partial profit taking
• Optional breakeven and trailing behavior
• Optional time-based exits
• Optional equity-based position sizing
A built-in on-chart Backtesting HUB displays live performance statistics for transparency and review.
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Philosophy
FxAST Lite Wave is intentionally not a signal-spamming strategy .
It is designed to:
• Reduce decision fatigue
• Encourage rule-based consistency
• Support disciplined execution
If you need:
precise entries → use price action
precise exits → use structure
system context → use Lite Wave
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Disclaimer
This strategy is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions. responsible for their own decisions.
Estrategia_XAU_1m_NYEstrategia para el par XAU/USD temporalidad 1 minuto, de 9:30 a 10:00 am New York. Solo media hora al dia.
Strategy for the XAU/USD pair, 1-minute timeframe, from 9:30 to 10:00 am New York. Only half an hour per day.
Smart Money Liquidity Structure AlgoSmart Money Liquidity Structure Algo is a rule-based trading strategy designed to analyze market structure, liquidity zones, and volatility conditions.
The script combines structure breakout logic, volatility filtering, order-block style price gaps, and Supertrend direction to generate systematic long and short signals.
This strategy is intended for educational and research purposes, helping traders study how liquidity, structure, and trend alignment can be combined into a single framework.
All signals are generated objectively using predefined conditions without repainting after bar close.
The strategy includes built-in risk management logic using ATR-based stop-loss and trailing exit mechanisms.
⚙️ Core Logic Overview
Market structure based on pivot-derived support and resistance
Volatility normalization filter to avoid low-activity periods
Price gap detection inspired by order-block concepts
Supertrend-based directional confirmation
Time-based holding logic before exits are allowed
✨ Features
Rule-based long and short entries
Liquidity & structure breakout detection
Volatility-filtered signal generation
Optional Supertrend trend filter
ATR-based stop-loss and trailing exits
Non-repainting logic after candle close
🧪 How to Use
Apply on liquid markets such as crypto, indices, or forex
Works best on intraday to higher timeframes
Adjust volatility filter and ATR multiplier based on the instrument
Always forward-test and paper-trade before live use
⚠️ Disclaimer
This script is not financial advice.
Trading involves risk, and past performance does not guarantee future results.
Use this strategy for analysis, testing, and educational purposes only.






















