SMC Adaptive Breakout v1XSMC Adaptive Breakout v1X — Adaptive Smart Money Breakout Strategy
SMC Adaptive Breakout v1X is a Smart-Money–inspired breakout strategy that adapts to changing volatility and market structure in real time. It identifies recent pivot structure, verifies volatility expansion, uses ATR-scaled stops, and manages exits with fixed profit targets plus price-based trailing.
Why this strategy is unique / original
This strategy combines three concept layers into a single, cohesive system: (1) structure detection using adaptive pivots, (2) a normalized volatility filter (range percentile over a long lookback) to permit only expansion-phase breakouts, and (3) context-aware trade management using ATR-scaled stops and percentage-based profit/ trailing rules. The combination reduces false breakouts during low-volatility periods while preserving entries when institutional-style expansion occurs.
Core logic (high level)
1. Structure detection: recent pivot highs and lows (configurable lookback) form the active Support and Resistance reference levels used to define breakouts.
2. Volatility confirmation: raw bar range is normalized into a percentile within a long volatility lookback window; breakouts are only considered when normalized volatility exceeds the user filter threshold.
3. Order-block / gap detection: the script detects large price gaps relative to ATR(200) and flags them as bullish/bearish gaps (order-block style footprints) to add confluence to entries.
4. Entry criteria: a long entry is signalled when price closes above the most recent resistance and the volatility filter is satisfied (or a bullish gap condition is met). Shorts mirror this logic below support. Debug/force flags allow manual/backtest forcing of trades.
5. Risk & exits: stops are ATR-based (ATR length configurable, multiplier configurable) giving context-aware stop distances. Each entry sets a profit target as a percent of entry and attaches a trailing exit (points and offset defined as percent of price) to protect profits. Exits are placed with one strategy.exit per entry so they are executed by the strategy engine.
6. Non-premature confirmation: entries are determined using closed-bar conditions (no intrabar triggers), consistent with strategy backtesting expectations.
Key inputs (and what they control)
1. Levels Period (length) — pivot lookback used to compute support/resistance structure; larger values = larger, fewer zones.
2. Volatility Filter (filter 0–100) — normalized volatility threshold (percentile) required to allow breakout signals. Increase to reduce signals during quiet markets.
3. Volatility lookback (volatility_len) — window length used to normalize the raw range into a percentile.
4. ATR length (atr_len) & ATR Stop Multiplier (atr_multiplier) — ATR parameters used for stop distance; ATR gives volatility-adaptive stop sizing.
5. Profit target (%) — target as percent of entry price.
6. Trailing points (%) & offset (%) — trailing stop size and activation offset, expressed as percent of price (converted internally to price points).
7. Visual & debug toggles — show/hide levels, entry markers, and enable debug/force entry flags for manual/backtest validation.
Practical Usage & Recommended Settings
Timeframes – Works efficiently across multiple time horizons.
• 5–15 minutes → Scalping setups.
• 15 minutes–1 hour → Intraday opportunities.
• 4 hours–1 day → Swing trading confirmation.
Adjust length and Volatility Filter parameters to match your timeframe and instrument behavior.
Default Sensitivity –
The default length = 20 offers balanced structure detection.
• Lower values → faster, more frequent signals.
• Higher values → smoother structure and fewer breakouts.
Volatility Tuning –
Modify the Volatility Filter (0–100) according to market conditions.
• Increase the filter during low-volume or choppy sessions to reduce false signals.
• Decrease it during trending or high-volatility markets for greater responsiveness.
Stop / Target Sizing –
ATR-based stop-losses automatically adapt to market volatility.
• Recommended starting point: ATR Multiplier = 1.5 and Profit Target = 1.5%.
• Fine-tune both based on each asset’s typical volatility profile.
Backtesting –
Use TradingView’s built-in Strategy Tester to analyze results over different symbols and timeframes.
The strategy executes only on bar close, ensuring accurate, non-repainting backtest results.
What the strategy plots / visual cues
•Forward-extended pivot lines for support/resistance (configurable color/transparency).
•Order-block / gap markers when large ATR-scaled gaps are detected.
•Entry labels (“LONG” / “SHORT”) at position changes if enabled.
•Strategy entries/exits are placed through strategy.entry and strategy.exit so performance reports are available in the Tester.
Risk management & notes
•This script is a discretionary tool — it automates entries and exits for backtesting and strategy simulation, but users should still confirm trades with broader market context and higher-timeframe bias.
•Always run thorough backtests (multi-symbol, multi-timeframe) and forward test on a paper account before any live deployment.
•Adjust position sizing externally; the strategy code sets orders and exits but does not enforce a specific money-management sizing rule. Use the strategy tester’s default position size controls or integrate a sizing method in your own workflow.
Technical details & behavior
•Pine Script v6 strategy.
•Uses closed-bar confirmation for signals (no repainting on close).
•Order-block / gap detection uses ATR(200) as a volatility reference to identify large structural gaps.
•Trail calculations convert percent-based inputs to absolute price units each bar to maintain consistent behavior across price levels.
Limitations & disclaimers
•Past performance is not indicative of future results. This strategy does not guarantee profits and will produce losing trades.
•Results depend on parameter choices, instrument volatility, market regime, and execution slippage. Always test on the exact symbol and timeframe you intend to trade.
Invite-only / Access note (for Publish window)
This strategy is invite-only. Please use the TradingView Request Access button on this page to request access.
Indicators and strategies
HITESH SOMANI Strategy Technical based strategy. Strong chart pattern based strategy for working professionals who dont have much time for trading
Turtles StrategyBorn from the 1980s "Turtle" experiment, this method of trading captures breakouts and places or closes trades with intrabar entries or exits and realized-equity risk controls.
How It Works
The strategy buys/sells on breakouts from recent highs/lows, using ATR for volatility-adjusted stops and sizing. It risks a fixed % (default 1%) of realized equity per trade—initial capital plus closed P&L, ignoring open positions for conservatism. Drawdown protection auto-reduces risk by 20% at 10% drops (up to three times), resetting only on full peak recovery. Single positions only, with 1-tick slippage simulated for realistic fills. Best for trending assets like forex,commodities, crypto, stocks. Backtest for optimal parameters.
Main Operations
The strategy works on any timeframe but it's meant to be used on daily charts.
Entry Signals:
Long: Buy-stop 1 tick above 20-bar high (default "Entry Period") when no position—enters intrabar on breakout.
Short: Sell-stop 1 tick below 20-bar low. OCA cancels opposites.
Size: (Realized equity × adjusted risk %) ÷ (2× ATR stop distance), scaled by point value.
Exit Signals:
Longs: Stop at tighter of (entry - 2× ATR) or (10-bar low - 1 tick trailing, default "Exit Period").
Shorts: Stop at tighter of (entry + 2× ATR) or (10-bar high + 1 tick trailing).
Locks profits in trends, exits fast on fades.
Risk Controls:
Tracks realized equity peak.
10% drawdown: Risk ×0.8; 20%/30%: Further ×0.8 (max 3x).
Full reset above peak—preserves capital in slumps.
Freedom Candlestick v5.0.5The is a momentum trading strategy for futures. There are also components of ICT, trend following, volume distribution, and volatility involved in the logic. We are currently using it on NQ and GC. We are also in the process of building a set up to work with ES.
GROK ALTIN B2 ))GROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
GROK ALTIN A1 BY FGGROK GOLD PRO V2 is a high-performance scalping strategy designed for XAUUSD on the 5-minute timeframe, operating with a fixed 1-lot position. It generates signals using EMA 9/21 crossover, RSI above/below 50, and volume spikes, while an ATR × 2.0 dynamic stop protects against volatility. Profits are locked in three steps (+$20, +$50, +$100), with each exit triggering real-time phone alerts showing entry, exit price, and profit. One pip movement equals $100 P&L. The strategy delivers a 92%+ win rate, average profit of +$4,432 per trade, and max drawdown of -$1,280. Simple, transparent, and fully automated.
Volumemetrix Variance StrategyThe “Volumemetrix Variance Strategy” is an advanced Pine Script strategy designed to identify trade entries and exits using a combination of volume profile analysis, candle structure, and volatility filters. It constructs a dynamic volume profile over a specified lookback period to identify critical price levels such as the Point of Control (PoC), Value Area High (VAH), and Value Area Low (VAL). These levels represent zones of high trading activity that often act as support and resistance. The script smooths and adjusts these levels across different timeframes to align short-term market structure with higher-timeframe trends. It incorporates a variety of filters to exclude doji candles, detect continuation or rejection patterns, and confirm alignment with higher timeframe candle direction (e.g., 4-hour bullish or bearish bias).
Trade logic is built around detecting crossovers and breakouts relative to the PoC and value areas. The system can trigger entries based on several configurable behaviors: breakout, retake, bounce, reversal, or rejection near key volume zones. It supports flexible entry conditions for long, short, or both sides of the market, as well as a range of customizable settings for time-based trading restrictions, end-of-day position closures, and alert-based data capture. For execution, the script includes integrated risk management—users can specify take-profit and stop-loss levels, enable moving (trailing) stops, and even apply a “power curve” model to dynamically adjust trailing stops using exponential decay logic that adapts to price progress.
Overall, the Volumemetrix Variance Strategy is a hybrid between a quantitative volume-based strategy and a volatility-adaptive trade manager. It combines fixed range volume profiling with multi-timeframe confirmation, candle pattern validation, and adaptive exit logic. Its architecture allows for detailed trade automation, alert generation for external systems, and real-time control over parameters such as ATR scaling, entry delay, or bar confirmation. The result is a high-granularity framework for both backtesting and live execution that seeks to capture statistically favorable setups around liquidity concentration zones.
CDC BACKTEST (MACD) FIX AMOUNT $200k per trade This strategy implements an Exponential Moving Average (EMA) Crossover System designed for backtesting and performance evaluation. EMA 12,26 (MACD)
The trading logic is based on the crossover between two EMAs — a short-term EMA (12) and a long-term EMA (26) — which serves as a momentum-based signal for trend identification.
Buy Condition:
A long (buy) position is entered when the 12-period EMA crosses above the 26-period EMA, indicating a potential upward trend or bullish momentum.
Sell Condition:
A position is closed, or a short (sell) position is opened, when the 12-period EMA crosses below the 26-period EMA, signaling a potential downward trend or bearish momentum.
Position Sizing:
Each trade with a fixed position size of 200,000 USD (default), while the starting account balance is set at 400,000 (USD).
Both the fixed trade amount and the initial balance are user-adjustable parameters, allowing flexibility for different risk preferences and portfolio sizes.
coinbot_mr_table이 스크립트는 **"MA 리본(Moving Average Ribbon) 기반 자동매매 전략"**입니다.
이름(coinbot_mr_table)에 모든 기능이 요약되어 있습니다.
coinbot: user_id, exchange, leverage 등 자동매매 봇과 연동하기 위한 웹훅(Webhook) 신호 전송 기능이 포함되어 있습니다.
mr (MA Ribbon): 18개(5~90)의 이동평균선(EMA 또는 SMA)이 100 이평선을 기준으로 정배열/역배열되는지를 색상(LIME/RUBI)으로 구분하여 추세를 판단합니다.
table: 전략의 백테스팅 성과(총 승률, 일일 수익률 등)를 차트 위에 '누적 통계'와 '일일 통계' 테이블로 시각화해 줍니다.
이 스크립트의 매매 로직과 자동매매 신호에 대한 자세한 설명을 한글과 영어로 각각 제공해 드립니다.
🇰🇷 한글 (Korean)
이 스크립트는 **"MA 리본(Moving Average Ribbon)"**을 핵심 엔진으로 사용하는 완전 자동매매(Autotrade) 전략 신호 생성기입니다.
이 지표의 목적은 차트에서 추세를 시각적으로 보여주는 것을 넘어, 구체적인 매매 신호(진입, 분할 익절, 손절)가 발생할 때마다 JSON 형식의 명령어를 자동매매 봇으로 전송하는 것입니다.
1. 📈 매매 전략: MA 리본 추세 추종
이 전략은 18개의 단기/중기 이동평균선(5~90)과 1개의 장기 이동평균선(100)을 사용하여 추세를 정의합니다.
100 이평선: 장기 추세를 가르는 기준선(강/약을 나누는 분수령)입니다.
18개 리본: 이 리본들이 100 이평선 위에서 모두 상승(LIME 색상)하면 '강세 추세', 아래에서 모두 하락(RUBI 색상)하면 '약세 추세'로 판단합니다.
2. 🚦 진입 및 청산 신호
이 전략은 '전환(Reversing)' 전략입니다. 즉, 롱 신호가 발생하면 숏 포지션을 종료하고 롱으로 진입하며, 그 반대도 마찬가지입니다. (항상 롱 또는 숏 포지션을 유지합니다.)
진입 신호 (Long):
추세 확정: 모든 리본이 100 이평선 위에서 '강세(LIME)'로 통일될 때.
재진입 (불타기): 강세 추세 중, 리본이 일시적으로 조정(GREEN)을 보이다가 다시 '강세(LIME)'로 복귀할 때.
진입 신호 (Short):
추세 확정: 모든 리본이 100 이평선 아래에서 '약세(RUBI)'로 통일될 때.
재진입 (물타기): 약세 추세 중, 리본이 일시적으로 반등(MAROON)하다가 다시 '약세(RUBI)'로 복귀할 때.
청산 신호 (자동매매):
진입 (ENTRY): 롱/숏 신호 발생 시, 설정한 user_id, exchange, leverage 등을 포함한 JSON 메시지를 전송합니다.
익절 (TAKE_PROFIT): 롱/숏 포지션이 사용자가 설정한 TP1, TP2, TP3 목표가에 도달하면, 설정된 물량(qty_percent)만큼 분할 익절하라는 JSON 메시지를 전송합니다.
손절 (CLOSE): 포지션이 설정한 sl_percent에 도달하면, 포지션을 즉시 종료하라는 JSON 메시지를 전송합니다.
3. 📊 핵심 기능: 통계 테이블
이 스크립트는 백테스팅 성과를 두 개의 테이블로 요약하여 차트에 실시간으로 표시합니다.
누적 통계 (Total Stats): 전체 기간의 총 진입 횟수, 승/패, 승률(Winrate), 총수익률(Total Profit) 등을 보여줍니다.
일일 통계 (Daily Stats): '오늘' 하루 동안 발생한 매매의 성과(승/패, 승률, 수익률)만 따로 집계하여 보여줍니다.
🇺🇸 영어 (English)
This script is an automated trading (Autotrade) strategy signal generator based on a "Moving Average (MA) Ribbon."
Its purpose extends beyond visual trend analysis; it is designed to generate specific JSON-formatted commands and send them to an automated trading bot whenever a trade signal (entry, take-profit, stop-loss) occurs.
1. 📈 Trading Strategy: MA Ribbon Trend Following
This strategy uses 18 short-to-mid-term Moving Averages (5 to 90) and one long-term Moving Average (100) to define the trend.
100-MA: This acts as the baseline filter, dividing the market into a long-term bull or bear state.
18-MA Ribbon: When all 18 ribbons are above the 100-MA and rising (LIME color), it defines a 'Strong Bull Trend'. When all are below the 100-MA and falling (RUBI color), it defines a 'Strong Bear Trend'.
2. 🚦 Entry and Exit Signals
This is a 'Reversing' strategy. This means when a long signal occurs, it closes any existing short position and enters long, and vice-versa. It is designed to hold a position (either long or short) at all times.
Long Entry Signals:
Trend Confirmation: When all ribbons unify into a 'Strong Bull' (LIME) state above the 100-MA.
Re-entry (Buy the Dip): During a bull trend, if the ribbon shows a temporary pullback (GREEN) and then flips back to 'Strong Bull' (LIME).
Short Entry Signals:
Trend Confirmation: When all ribbons unify into a 'Strong Bear' (RUBI) state below the 100-MA.
Re-entry (Sell the Rally): During a bear trend, if the ribbon shows a temporary rally (MAROON) and then flips back to 'Strong Bear' (RUBI).
Exit Signals (For Automation):
ENTRY: When a long/short signal occurs, it sends a JSON message with the user's user_id, exchange, leverage, etc.
TAKE_PROFIT: When a position reaches the user-defined TP1, TP2, or TP3 price targets, it sends a JSON message to take profit on the specified quantity (qty_percent) for that portion.
CLOSE (Stop-Loss): When a position hits the sl_percent threshold, it sends a JSON message to immediately close the entire position.
3. 📊 Key Feature: Statistics Tables
The script provides two real-time summary tables on the chart to visualize backtesting performance.
Cumulative Stats: Shows lifetime performance, including total trades, wins, losses, win rate, and total profit.
Daily Stats: Isolates and displays the performance metrics (wins, losses, win rate, profit) for "Today's" trading activity only.
Strategy Builder v1.0.0 [BigBeluga]🔵 OVERVIEW
The Strategy Builder combines advanced price-action logic, smart-money concepts, and volatility-adaptive momentum signals to automate high-quality entries and exits across any market. It blends trend recognition, market structure shifts, order block reactions, imbalance (FVG) signals, liquidity sweeps, candlestick confirmations, and oscillator-powered divergences into one cohesive engine.
Whether used as a full automation workflow or as a structured confirmation framework, this strategy provides a disciplined, rules-driven method to trade with logic — not emotion.
🔵 BACKTEST WINDOW CONTROL
This module allows you to restrict strategy execution to a specific historical period.
Ideal for performance isolation, regime testing, and forward-walk validation.
Limit Backtest Window
Enabling this option activates custom date filters for the backtest engine.
Start — Define the starting date & time for backtesting
End — Define the ending date & time for backtesting
Only trades and signals inside this window are executed
Reduces computation load on large datasets
Useful for testing specific market environments (e.g., bull cycles, crash periods, sideways regimes)
🔵 SIGNAL GLOSSARY (Advanced Technical Explanation)
Traders can build long and short setups using up to 6 configurable entry conditions for each direction.
Every condition can be set as Bullish or Bearish and mapped to any signal source — allowing deep customization
Below is the full internal logic overview of every signal available in the Strategy Builder.
Signals are based on trend models, volatility structures, liquidity logic, oscillator behavior, and market structure mapping.
Trend Signals (Low-Lag Trend Engine)
Uses a proprietary low-lag baseline + momentum gradient model to detect directional bias.
Trend Signal — Momentum breaks above/below adaptive trend baseline.
Trend Signal+ — Stronger trend confirmation using volatility-weighted momentum.
Trend Signal Any — Triggers when any bullish/bearish trend signal appears.
SmartBand & Retests (Adaptive Volatility Bands)
Dynamic envelope that contracts/expands with volatility & trend strength.
SmartBand Retest — Price retests dynamic band and rejects, confirming continuation.
ActionWave Signals (Impulse-Pullback Engine)
Tracks wave behavior, acceleration and deceleration in price.
ActionWave — Detects directional impulse strength vs pullback weakness.
ActionWave Cross — Momentum acceleration threshold crossed → trend ignition.
Magnet Signals (Liquidity Gravity + Mean Reversion Bias)
Detects zones where price is being drawn due to liquidity voids or imbalance.
Magnet — Trend and liquidity pressure align, creating directional “pull.”
MagnetBar Low Momentum — Low-volatility compression → pre-breakout condition.
Flow Trend (Directional Flow State + ATR Envelope)
Higher-timeframe bias confirmation + dynamic volatility filter.
FlowTrend — Confirms major directional bias (uptrend or downtrend).
FlowTrend Retest — Price tests HTF flow band and rejects → trend resume.
Voltix (Volatility Expansion Pulse)
Detects regime shift from quiet accumulation → trending expansion.
Voltix — Breakout volatility signature, trend acceleration trigger.
Candlestick Pattern (Algorithmic Price Action Recognition)
Auto-recognizes meaningful reversal or continuation candle formations.
Candlestick Pattern — Confirms momentum reversal/continuation via candle logic.
OrderBlock Logic (Institutional Footprint System)
Institutional demand/supply zone tracking with mitigation logic.
Order Block Touch — Price taps institutional zone → reaction filter.
Order Block Break — OB invalidation → institutional flow shift.
Market Structure Engine (Swing Logic + Volume Confirmation)
Tracks major swing breaks and structural reversals.
BoS — Break of Structure in trend direction (continuation bias).
ChoCh — Change of Character — early reversal marker.
Fair Value Gaps (Imbalance & Volume Displacement)
Identifies inefficiencies caused by rapid displacement moves.
FVG Created — Price leaves inefficiency behind.
FVG Retest — Price returns to rebalance inefficiency → reaction zone.
Liquidity Events (Stop-Run & Reversal Logic)
Detects stop-hunt events and liquidity sweeps.
SFP — Swing failure & wick sweep → reversal confirmation.
Liquidity Created — New equal highs/lows form liquidity pool.
Liquidity Grab — Sweep through liquidity line followed by rejection.
Support / Resistance Break Logic
Adaptive zone recognition + momentum confirmation.
Support/Resistance Cross — Zone decisively broken → structural shift.
Pattern Breakouts (Market Geometry Engine)
Tracks breakout from compression & expansion formations.
Channel Break — Channel breakout → trend acceleration.
Wedge Break — Break from contraction wedge → burst of momentum.
Session Logic (Opening Range Behavior)
Session-based volatility trigger.
Session Break — Break above/below session opening range.
Momentum / Reversal Oscillator Suite
Oscillator-driven exhaustion & reversal signals.
Nautilus Signals — Momentum reversal signature (oscillator shift).
Nautilus Peak — Momentum peak → exhaustion risk.
OverSold/Overbought ❖ — Extreme exhaustion zones → reversal setup.
DipX Signals ✦ — Dip buy / Dip sell timing, micro-reversal engine.
Advanced Divergence Engine
Momentum/price disagreement layer with multi-trigger confirmation.
Normal Divergence — Classic divergence reversal.
Hidden Divergence — Trend continuation divergence.
Multiple Divergence — Multiple divergence confirmations stacked → high confidence.
🔧 Adjustable Signal Logic
Some signals in this system can be additionally refined through the strategy settings panel.
This allows traders to tune internal behavior for different market regimes, assets, and volatility conditions.
🔵 LONG / SHORT EXIT CONDITIONS
This section allows you to automate exits using the same advanced market conditions available for entries.
Each exit rule consists of:
Toggle — Enable/disable individual exit rule.
Direction Filter — Trigger exit only if selected market bias appears (Bullish/Bearish).
Signal Type — Choose which market event triggers the exit (same list as entry conditions).
When the active conditions are met, the strategy automatically closes the current position — ensuring emotion-free risk management and systematic trade control.
🔵 TAKE PROFIT & STOP LOSS SYSTEM
This strategy builder provides a fully dynamic risk-management engine designed for both systematic traders and discretionary confirmation users.
Take Profit Logic
Scale out of trades progressively or exit fully using algorithmic TP levels.
Up to 3 Take-Profit targets available
Choose TP calculation method:
• ATR-based distance (volatility-adaptive targets)
• %-based distance (fixed percentage from entry)
Define Size — ATR multiplier or % value
Custom Exit Size per TP (e.g., 25% / 25% / 50%)
Visual TP plotting on chart for clarity
Stop Loss Logic
Automated protection logic for every trade.
Two SL Modes:
• Fixed Stop Loss — static SL from entry
• Trailing Stop Loss — SL follows price as trade progresses
Distance options:
• ATR multiplier (adapts to volatility)
• %-based from entry (fixed distance)
SL dynamically draws on chart for transparency
Trailing SL behavior:
Follows price only in profitable direction
Never moves against the trade
Locks profits as trend develops
🔵 Strategy Dashboard
A compact on-chart performance dashboard is included to help monitor live trade status and backtest results in real time.
It displays key metrics:
Start Capital — Initial account balance used in simulation.
Position Size — % of capital allocated per trade based on user settings (It changes if the trade hits take profits, when more than one take profit is selected).
Current Trade — Shows active trade direction (Long / Short) and real-time % return from entry.
Closed Trades — Counter of completed positions, useful for reading sample size during testing.
🔵 CONCLUSION
The Strategy Builder brings together a powerful suite of smart-money and momentum-driven signals, allowing traders to automate robust trade logic built on modern market structure concepts. With access to trend filters, order blocks, liquidity events, divergence signals, volatility cues, and session-based triggers, it provides a deeply adaptive trade engine capable of fitting many market environments.
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances.
Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
CEO Synapse v1.0CEO Synapse — Uyarlanabilir Rejim Stratejisi
This script is invite-only.
What Does This Strategy Do?
Markets are complex systems requiring various expertise. The "CEO Synapse" strategy adopts a "digital dashboard" approach based on the reality that a single viewpoint is insufficient. The strategy combines multiple analytical engines, each developed by me, analyzing different aspects of the market (structure, momentum, rhythm). It detects trend and momentum deviations in markets. A trading decision is made only when there is consensus among these expert engines. The "Synapse Engine" uses adaptive filtering and consensus logic for position management based on market regime (trend/range).
It eliminates the problem of traditional indicators generating misleading signals alone and failing to adapt to volatility and regime changes. Its dynamic threshold mechanism, adaptive periods, and special noise filters reduce unnecessary trades.
Original Methodology and Proprietary Logic: This algorithm does not rely on or copy any open source strategy code. The system uses commonly accepted indicators' mathematical principles such as ADX, EMA, SMA, ATR, True Range, etc., as data sources. The author's methodology combines dynamic period EMA, multi-filter consensus, adaptive threshold, and regime-based execution.
Though our strategy creates an original decision-making mechanism, it leverages foundational building blocks of technical analysis. The traditional indicators we use and their purposes are:
ADX (Average Directional Index): This indicator measures a trend’s strength, not its direction. Our strategy uses ADX as a filter to open positions only under sufficiently strong and distinct trend market conditions. This largely prevents misleading signals in weak or sideways markets.
Moving Averages (EMA and SMA): They form the backbone to determine the main trend direction. By smoothing price data, they reduce noise and reveal the market's general trend. But our strategy processes their outputs not as traditional crossover signals, but as input to an advanced consensus logic with dynamically adjusted periods based on market rhythm combined with other filters.
ATR (Average True Range): This indicator does not produce direct buy-sell signals but measures current market volatility. Especially in "Sideways Market" regime, take profit and stop loss levels are dynamically set based on ATR instead of fixed values, enabling risk management to adapt to market conditions.
Bollinger Band Logic (using Standard Deviation): Though the strategy does not plot Bollinger Bands directly, it uses Standard Deviation, the underlying mathematical concept, to detect excessive price deviations and volatility spikes, producing critical signals for the AMF PG core engine.
"Synapse Engine" consists of two layers: Decision Center (Dynamic Threshold) which automatically adjusts risk appetite based on performance and regime; and Filter Committee (Consensus Score) which weights separate filters to produce a single score. This combination is not reproducible and commercially valuable. Closed source is mandatory.
No classic open source code used. Only publicly available indicators are used. Parameters, order, and usage are fully customized.
Generated Signals: Trend/range entry/exit (long/short), adaptive trailing stop position management, additional risk control signals with Shock Absorber and Quantum Filter.
Purpose: Detect trend breaks and momentum deviations. Components: Volatility filters, adaptive signal weighting, EMA/SMA. Methodology: Combines price and volume change rates via dynamic weighting functions.
What Problem Does CEO Synapse Solve?
CEO Synapse addresses three main issues caused by traditional technical analysis and single indicator usage:
Problem: Misleading Signals and Market Noise
Traditional indicators (MACD, RSI, etc.) generate many "false" buy-sell signals, especially in sideways and choppy markets, causing traders to constantly enter and exit positions (whipsaw) and incur losses.
CEO Synapse Solution: The strategy never relies on a single signal. The Consensus-Based Decision Mechanism ensures no position is opened unless different analytical engines (structural, momentum, rhythm) agree. This "board of directors" approach filters market noise, processing only high-probability signals.
Problem: Static Analysis and Changing Market Conditions
Markets constantly change character; sometimes strong trend, sometimes narrow range. Most strategies try to function with fixed parameters across all conditions, leading to failure.
CEO Synapse Solution: The strategy has Adaptive Regime Switching. It actively analyzes whether the market is in "Trend Mode" or "Sideways Market Mode" and automatically adjusts entry/exit rules and risk management (take profit/stop loss) to the current regime, allowing chameleon-like adaptation to conditions.
Problem: Fixed Parameters and Declining Performance
Many traders believe they find the "best" settings and never change them for months or years. But as market volatility and cycles change, fixed settings lose effectiveness.
CEO Synapse Solution: The strategy operates on Full Adaptation principle.
Market Rhythm Adaptation: Dynamically adjusts analysis speed (e.g., EMA periods) according to market’s natural cycles.
Performance Adaptation: Continuously optimizes risk appetite (signal threshold) based on recent strategy performance, becoming bolder with gains and more cautious with losses.
In summary, CEO Synapse simplifies decision-making, eliminates market noise, and smartly adapts to changing market conditions, protecting the user from common mistakes.
Why "Invite-Only"?
Offering CEO Synapse as "Invite-Only" is a strategic decision to protect the strategy's commercial value and intellectual property and to provide users with the highest quality experience. Key reasons:
Protection of Proprietary IP:
CEO Synapse is the result of hundreds of hours of research, development, and testing. Its consensus logic, adaptive threshold mechanism, and engine integration are unique and patented. Open sourcing it would instantly destroy this trade secret and competitive edge.
Maintaining Performance Integrity and Effectiveness:
Uncontrolled distribution could lead to misuse or signal theft and sale by malicious actors. The invite-only model preserves the strategy’s integrity and ensures access only for serious investors.
Quality User Experience and Support:
Controlled distribution allows better user experience. High-quality documentation explaining features and best practices can be provided, and future updates and support services can be managed better for a limited user base.
Business Model:
CEO Synapse is positioned as a premium analysis tool. Invite-only access reflects its value and compensates the developer for ongoing maintenance, support, and future improvements.
Usage: Available on all timeframes.
Based entirely on my own adaptive filtering methodology.
Proprietary logic: The algorithm’s unique, non-reproducible logic and methodology. Example: Multi-filter consensus + adaptive threshold + regime-based execution.
Why Is This a Premium Tool?
"CEO Synapse"’s value stems from being a proprietary, integrated system beyond free standard indicators:
Advanced Noise Filtering: Not just reduces noise but adjusts filter sensitivity to current market character. Inspired by public mathematical concepts (cycle analysis, statistical filtering) but uniquely combined with proprietary weighting mechanisms and adaptive consensus logic forming the strategy's commercial value. Core indicators (EMA, ATR, ADX, DMI, etc.) are uniquely processed inside this proprietary system.
Full Adaptation: Instead of fixed parameters, the strategy continuously adapts to the market's natural rhythm, volatility, and past performance.
Consensus-Based Decision Making: Relies on collective intelligence of multiple analytical engines, not a single failure point.
These features substantially increase the ability to extract meaningful, actionable insights from raw market data, making it premium. It improves signal accuracy, reduces risk, and adapts to regime shifts. The dynamic threshold mechanism continuously adjusts risk appetite based on recent performance (profitability) and market regime.
By using this script, you agree not to redistribute, sell, or reverse engineer the source code.
This strategy is for educational purposes only. Past performance does not guarantee future results. Always apply proper risk management and protect your capital.
Risk Management: Maximum Drawdown Protection
The strategy includes a built-in capital protection mechanism. Users can specify the percentage drop from peak capital they tolerate. If the capital hits this drawdown limit, protection activates, closing all open positions and blocking new trades, acting as an emergency brake to guard capital against unexpected market conditions.
Automation Ready: Customizable Webhook Alerts
Fully Compatible Automation (JSON): The strategy outputs fully configurable JSON-formatted alert messages for buy, sell, and close actions. This allows connecting CEO Synapse signals to automation platforms like 3Commas and PineConnector for fully automated trading. Dynamic values like position size ({{strategy.order.contracts}}) are automatically included in alerts.
Strategy Backtest Information
Please remember past performance is not indicative of future results. The published chart and report are based on the BTCUSD pair in a 3-hour timeframe with the following settings:
Test Period: January 1, 2018 – November 3, 2025
Default Position Size: 15% of capital
Pyramiding: Off
Commission: 0.0008
Slippage: 2 ticks
Test Approach: The published test contains 201 trades and is statistically significant. Performing your own tests on different assets and timeframes is strongly recommended. Default settings are a template and should be adjusted per your analysis.
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
Roboquant RP Profits NY Open Retest StrategyRoboquant RP Profits NY Open Retest Strategy A good strategy for CL
MA Break Trend Strategy - Multi Stop MethodsThis is a trend-following trading strategy with multiple stop loss options for both long and short positions.
Entry Signal: Trades are triggered when price crosses above (long) or below (short) a configurable moving average (EMA or SMA, default 200-period)
Volume Confirmation: Optional filter requiring volume to exceed a multiplier (default 1.5x) of the 20-period volume average before entering trades
Five Stop Loss Methods:
- ATR-based: Dynamic stop using Average True Range multiplier below/above entry price
- MA Buffer: Stop set at a percentage offset from a separate moving average (default 50-period EMA)
- Donchian Channel: Uses the lowest low/highest high over a specified lookback period
- Keltner Channel: ATR-based bands around an EMA basis
- Lowest Low/Highest High: Simple swing point stops based on recent price extremes
- Trailing Stops: All stop methods automatically trail in the profitable direction (upward for longs, downward for shorts) to lock in gains while never moving against the position
Visual Indicators:
- Plots the trend-following moving average in blue
- Shows active stop loss levels in red when in a position
- Displays reference lines for all stop types when flat
- Entry signals marked with triangles (green up for long, red down for short)
- Background highlighting for volume-confirmed crossovers
ATR BuySideATR Buyside Strategy
This is a simple buy-only trading plan. It uses ATR (a tool to measure price swings) to spot when prices are rising strongly.
How it works:
Buy signal: Enter a long trade when the price moves above a moving support line (based on ATR)
Sell signals: Close if the trend turns down (quick market sell).
Stop loss: Follows the support line to protect gains.
Take profit: Sell at 2 times the recent price swing (for steady wins).
Settings you can change:
ATR period: 13 (how many days to look back).
Factor: 2.0 (makes the line wider or tighter).
Use Heikin Ashi: To Filter out Noise
Great for Opt premiums like NIFTY on 15min or 30m charts. Test it first—past results don't guarantee future wins. Not advice, just a tool!
WIN1! • Crossing EMAs• (By Mesquita, v7)Moving average crossover strategy for intraday movements, especially in the continuous index (WIN1!) on the Brazilian stock exchange B³. The strategy is customizable for time windows, has a filter for trades only above the long-term average, whether only long, only short, or both, with or without stop loss.
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1×ATR, TP = 2×ATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensible—both for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
BUY LOW, BUY MORE, SELL HIGH -BUFFET STRATEGY LITE__________________________________________________________________________
Buy Low, Buy More, Sell High With Buffett Meter (LITE – JTMarketAI)
__________________________________________________________________________
Category: Quantitative Momentum & Liquidity Flow
Author: JTMarketAI
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
__________________________________________________________________________
Core Features
__________________________________________________________________________
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
__________________________________________________________________________
Why It Does Not Repaint
__________________________________________________________________________
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
__________________________________________________________________________
Lite Edition Notes
__________________________________________________________________________
Manual trading focused
Buffett Meter enabled
Up to 20 trades per session
Visual dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
__________________________________________________________________________
Limitations
__________________________________________________________________________
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
__________________________________________________________________________
Warnings
__________________________________________________________________________
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
__________________________________________________________________________
Disclaimer
__________________________________________________________________________
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
__________________________________________________________________________
Hashtags
__________________________________________________________________________
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
BUY LOW, BUY MORE, SELL HIGH - MARKET FLOW STRATEGY LITE
TV Description - Buffett Meter Lite
body{font-family:Arial,Helvetica,sans-serif;max-width:900px;margin:32px auto;line-height:1.4} h1,h2{margin:16px 0 8px}
Buy Low, Buy More, Sell High With Buffett Meter (Lite v1283 – JTM)
Category: Quantitative Momentum & Liquidity Flow
Author: JTM
Architecture: Non-Repainting
This strategy accumulates into validated pullbacks during fear cycles, scales intelligently as price declines into liquidity support, and exits when momentum weakens after meaningful run-ups. It uses synthetic higher-timeframe OHLC data (non-repainting), liquidity imbalance confirmation, adaptive KAMA trend logic, RSI validation, and a live Buffett macro valuation gauge.
This is a patient, conviction-based accumulation engine designed for equities.
It is not a scalp bot.
Core Features
Non-repainting (confirmed bars only)
Synthetic HTF OHLC (no lookahead)
Dynamic trailing exit preserves ~80–87% of peak profit
Bull vs Bear liquidity dominance and flow imbalance
Rolling lowest-low tracking (LLL)
NY-session alignment (default)
Buffett Macro Meter integration
Technical Highlights
Flow-confidence derived from volume-order pressure
Adaptive KAMA smoothing for lower-lag confirmation
Daily > Weekly > Monthly synthetic aggregation
LLL progression display for trend exhaustion
Fully profiler-optimized
Supports averaging down when pyramiding enabled
Why It Does Not Repaint
All state updates occur only on confirmed bars
Synthetic HTFs built without lookahead
Persistent arrays freeze historical values
Trailing highs updated only after confirmation
No forward-reference to future bars
Lite Edition Notes
Manual trading focused
Buffett Meter enabled
Limit of 20 trades per session
Buffet Meter dashboard included
No alerts, automation, or webhooks (PRO unlocks IBKR + TradersPost)
Limitations
Best on intraday equities (1m–4h)
Designed for US stocks only
High-resource if full visuals enabled
Avoid penny stocks and extremely low-volume tickers
Does not guard against after-hours gaps or major news moves
Warnings
Contrarian scaling requires discipline and patience
Expect longer-duration trades, not rapid scalps
Use on quality tickers unlikely to permanently collapse
Confirm price behavior outside cash session
Test manually before automating anything
Not suitable for every market environment or asset
Notes on Philosophy
This strategy attempts to accumulate when markets overshoot lower, and distribute after recovery momentum fades. It reflects a patient, value-driven approach built on the principle of buying fear and reducing exposure into strength.
This is edge-based, not “trade every wiggle” logic
“Be fearful when others are greedy, and greedy when others are fearful.” — Buffett
“The stock market transfers money from the impatient to the patient.” — Buffett
Disclaimer
For research and educational use only. Not financial advice. Past performance does not guarantee future results. Test thoroughly and use appropriate risk management.
Hashtags
#buffett #quantstrategy #valuemomentum #accumulation #contrarian #nonrepaint #equitystrategy #swingtrading #liquidityanalysis #synthetichtf #tradingviewstrategy
KZ One — Scalping Training StrategyKZ One is a scalping strategy developed for M1 and M5 timeframes. It is designed to help traders study and practice short-term market behavior by using structured zones to highlight potential entry and exit areas. The strategy allows customization of Risk (USD) and Take Profit (R multiple) parameters for flexible trade management. Additional tools include ATR-based filters to skip low-volatility conditions and a Pre-Alert Lead (bars) option that notifies users ahead of possible setups. KZ One is intended for educational and analytical purposes, promoting disciplined and consistent trading practice.
💸 DCA Accumulation Strategy (USD‑Based Scaling)Buy when blue arrow appears, if the next arrow is lower than the last increase your position. This will pull your average cost down slowly over time.
Futures Fighter MO: Multi-Confluence Day Trading System ADX/SMI👋 Strategy Overview: The Multi-Confluence Mashup
The Futures Fighter MO is a comprehensive, multi-layered day trading strategy designed for experienced traders focusing on high-liquidity futures contracts (e.g., NQ, ES, R2K).
This strategy is a sophisticated mashup that uses the 1-minute chart for surgical entries while enforcing strict environmental filtering through higher-timeframe data. We aim to capture high-conviction moves only when multiple, uncorrelated signals align.
🧠 How the Logic Works (Concepts & Confluence)
Our logic is built on four pillars, which must align for a trade to be executed:
Primary Trend Filter
Indicators :
ADX/DMI (15-Minute Lookback)
Role :
Price action is filtered to ensure the ADX (17/14) is above 25, confirming a strong, prevailing market trend (Bullish or Bearish). Trades are strictly rejected during "Flat" (sideways) market regimes.
Entry Signal Types
The system uses multiple entry types:
- 🟢 Trend Long/Short: A breakout/rejection near the 200-Period EMA is confirmed by the primary ADX trend.
- 🔴 Engulfing Rejection: A strong signal when a Bullish/Bearish Engulfing or Doji prints near the long-term 500-Period EMA (emaGOD) while the Stochastic Momentum Index (SMI on 30M) is in an extreme overbought/oversold state (below $-40$ or above $40$).
Volatility & Volume Confirmation
Indicators: Average True Range (ATR) and 20-Period SMA of Volume
Role: Every entry requires a volume spike (Current Volume $> 1.5 \times$ SMA Volume) to confirm that the move is supported by significant liquidity. Volatility is tracked via ATR to define bar range and stop boundaries.
Structural Guardrails
Indicators: Daily Pivot Points (PP, S1-S3, R1-R3)
Role: Trades are disabled if the current bar's price range intersects with a Daily Pivot Point. This is a critical filter to avoid high-chop consolidation zones near key structural levels.
📊 Strategy Results & Required Disclosures
I strive to publish backtesting results that are transparent and realistic for the retail futures trader.
- Initial Capital: $50,000 - A realistic base for Mini/Micro futures contracts.
- Order Size: 1 Contract (Pyramiding up to 3) - Conservative risk relative to the account size.
- Commission: $0.11 USD per order - Represents realistic costs for low-cost brokers.
- Slippage: 2 Ticks - Accounts for expected market friction.
⚠️ Risk Management & Deviations
Stop-Loss: The strategy uses a dynamic stop-loss system where positions are closed upon a reversal (e.g., breaking the 50-Period EMA or failure to hold a Pivot Point), rather than a fixed tick-based stop. This is suited for experienced traders using a low relative risk (single Micro-contract entry) on a larger account. Users must confirm that the first entry's maximum potential loss remains below $10\%$ of their capital for compliance.
Trade Sample Size: Due to data limitations of the TradingView Essential plan (showing $\approx 50$ trades over 2 weeks), the sample size is under the ideal $100+$ target. Justification: This system is designed to generate signals across a portfolio of correlated futures markets (NQ, ES, R2K, Gold, Crude), meaning the real sample size for a user tracking the portfolio is significantly higher.
Drawdown Control: This strategy is designed for manual management. It requires the user to turn the script/alerts OFF after a significant drawdown and only reactivate it once a recovery trend is established externally.
The strategy uses a combination of dynamic trailing stops, structural support/resistance zones, and a fixed profit target to manage open positions.
🛑 Strategy Exit Logic
1. General Stop-Loss (Dynamic Trailing Stop)
These conditions act as the primary dynamic stop, closing the position if the market reverses past a key Moving Average (MA):
- Long Positions Closed When: The current bar's close crosses under the 50-Period EMA (emaLong).
- Short Positions Closed When: The current bar's close crosses above the 50-Period EMA (emaLong).
2. Profit Target (Fixed Percentage)
The script includes a general exit based on a user-defined profit percentage:
Take Profit Trigger: The position is closed when the currentProfitPercent meets or exceeds the input Profit Target (%) (default is 1.0% of the entry price).
3. Structural Exits (Daily Pivot Points)
These exits are high-priority, "close all" orders that trigger when the price fails to hold or reclaims a recent Daily Pivot Point, suggesting a failure of the current move.
- VR Close All - Long ($\sym{size} > 0$) - Price crosses under a Daily Resistance Level (R1, R2, or R3) minus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Resistance as support.
- VS Close All - Short ($\sym{size} < 0$) - Price crosses above a Daily Support Level (S1, S2, or S3) plus 1 ATR within the last 10 bars. This indicates the current momentum failed to hold Support as resistance.
4. Trend Failure Exit (Trend-Following Signals Only)
This exit protects against holding a position when the primary high-timeframe trend used for the entry has failed:
- Long Positions Closed When: The primary trend is no longer "bullish" for more than 2 consecutive bars (i.e., it turned "bearish" or "flat").
- Short Positions Closed When: The primary trend is no longer "bearish" for more than 2 consecutive bars (i.e., it turned "bullish" or "flat").
5. End of Day (EOD) Session Control
The final hard exits based on time:
- End of Session (EoS): At 11:30 AM, new trades are disabled (TradingDay := false). Open positions are kept.
- End of Day (EoD): At 1:30 PM, all remaining open positions are closed (strategy.close_all).
🤝 Development & Disclaimer
This script and description were created with assistance from Gemini and GitHub Copilot. My focus is on helping fellow real estate investors and day traders develop mechanically sound systems.
Disclaimer: This is for educational purposes only and does not constitute financial advice. Always abide by the Realtor Code and manage your own risk.
