YCGH Mean Reversion StrategyThis strategy applies a classic mean-reversion framework inspired by the concepts popularized by Ernest P. Chan in his quantitative trading books.
It uses Bollinger Bands and RSI to identify statistically stretched conditions where price has moved too far from its average. When price dips below the lower band with weakening momentum, the strategy accumulates small long positions, expecting reversion toward the mean. As price rebounds above the upper band, it exits positions gradually. Position sizing limits help control risk and avoid excessive exposure.
Special thanks to Ernest P. Chan for his influential work in quantitative trading, which motivated the structure and logic behind this model.
Cari dalam skrip untuk "momentum"
Crypto EditionThis strategy is built on a trend-following approach, designed to capture sustained market momentum rather than predict reversals.its a pullback strategy. The goal is to stay aligned with the prevailing trend, ride strong moves, avoid ranging-market noise
Infinity 26📈 Infinity 26 – Long-Term Investment Signal Indicator
Infinity 26 is a long-term trend-based investment indicator designed to identify high-quality buy and exit points using weekly or monthly candles.
It filters out market noise and focuses only on strong, long-term momentum shifts—making it ideal for wealth creation and slow, steady portfolio growth.
🔹 Key Features
Buy Signals: Automatically highlights strong trend-reversal points where long-term investors can accumulate.
Exit Signals: Shows when the long-term trend weakens, helping protect gains and reduce major drawdowns.
Weekly & Monthly Optimized: Best results when used on 1-week or 1-month timeframe for long-term investing.
Clear Trend Structure: Helps you stay invested during major bull trends and avoid emotional short-term decisions.
Noise-Free: Designed for long-horizon investors—no overtrading, no frequent whipsaws.
🔹 Best For
Long-term investors
Swing-to-position traders
Wealth creation strategies
Portfolio-based investing
🔹 How It Helps You
✔ Avoid wrong entries
✔ Capture major uptrend moves
✔ Reduce risk with timely exits
✔ Build wealth with simple, rule-based signals
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making.
Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient.
Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior.
In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView.
The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach.
Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth.
This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution.
🔶 MAIN FEATURES
• Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system.
• Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align.
• Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences.
• Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system.
• Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics.
• No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values.
🔷 ENTRY CONDITIONS & RISK MANAGEMENT
Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example:
• Volume:
• The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation.
• RSI:
• Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below.
• ADX:
• Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts).
• Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.)
Each one must confirm the expected direction before a final signal is allowed.
When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short.
In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control:
Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position.
⚙️ INDICATORS
__________________________________________________________
1) 🔊 Volume: Avoids trading on flat charts.
2) 🍟 MACD: Tracks momentum through moving averages.
3) 🧲 RSI: Indicates overbought or oversold conditions.
4) 🅰️ ADX: Measures trend strength and potential entry points.
5) 🥊 SAR: Identifies changes in price direction.
6) ☁️ Cloud: Accurately detects changes in market trends.
7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.
8) 📐 S/R: Fixed support and resistance levels.
9)╭╯MA: Moving Averages.
10) 🔮 LR: Forecasting using Linear Regression.
__________________________________________________________
🟢 ENTRY CONDITIONS 🔴
__________________________________________________________
IF all conditions are 🟢 = 📈 Long
IF all conditions are 🔴 = 📉 Short
__________________________________________________________
🚨 CURRENT TRIGGER SIGNAL 🚨
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴
__________________________________________________________
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult)
🔊 Volume
🟢 LONG = (volume) > (MA_volume) * (Volume Mult) and (close) > (open)
🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open)
🍟 MACD
🟢 LONG = (MACD) > (Signal Smoothing)
🔴 SHORT = (MACD) < (Signal Smoothing)
🧲 RSI
🟢 LONG = (RSI) < (Upper)
🔴 SHORT = (RSI) > (Lower)
🧲 RSI
🟢 LONG = (RSI) > (RSI_MA)
🔴 SHORT = (RSI) < (RSI_MA)
🅰️ ADX
🟢 LONG = (+DI) > (-DI) and (ADX) > (Treshold)
🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold)
🥊 SAR
🟢 LONG = (close) > (SAR)
🔴 SHORT = (close) < (SAR)
☁️ Cloud
🟢 LONG = (Cloud A) > (Cloud B)
🔴 SHORT = (Cloud A) < (Cloud B)
☁️ Cloud
🟢 LONG = (Kama) > (Kama )
🔴 SHORT = (Kama) < (Kama )
🌡️ R/F
🟢 LONG = (high) > (UP Range) and (upward) > (0)
🔴 SHORT = (low) < (DOWN Range) and (downward) > (0)
🌡️ R/F
🟢 LONG = (high) > (UP Range)
🔴 SHORT = (low) < (DOWN Range)
📐 S/R
🟢 LONG = (close) > (Resistance)
🔴 SHORT = (close) < (Support)
╭╯MA2️⃣
🟢 LONG = (Cyan Bar MA2️⃣)
🔴 SHORT = (Red Bar MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (close) > (MA2️⃣)
🔴 SHORT = (close) < (MA2️⃣)
╭╯MA2️⃣
🟢 LONG = (Positive MA2️⃣)
🔴 SHORT = (Negative MA2️⃣)
__________________________________________________________
🎯 TP / SL 🛑
__________________________________________________________
🎯 TP: 1.5 ％
🛑 SL: 2.0 ％
__________________________________________________________
🪄 UNIQUE FEATURES OF THIS STRATEGY
____________________________________
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
1) 𝄜 Table Backtest for Mobile.
2) 𝄜 Table Backtest for Computer.
3) 𝄜 Table Backtest for Computer & Annual Performance.
4) 𝄜 Live Entry Conditions.
_____________________________
𝄜 BACKTEST / PERFORMANCE 𝄜
_____________________________
• Net Profit: +634.47%, Maximum Drawdown: -18.44%.
🪙 PAIR / TIMEFRAME ⏳
🪙 PAIR: BINANCE:BTCUSDT.P
⏳ TIME: 4 hours (240m)
✅ ON ☑️ OFF
✅ LONG
✅ SHORT
🎯 TP / SL 🛑
🎯 TP: 1.5 (％)
🛑 SL: 2.0 (％)
⚙️ CAPITAL MANAGEMENT
💸 Initial Capital: 10000 $ (TradingView)
💲 Order Size: 10 ％ (Of Equity)
🚀 Leverage: 10 x (Exchange)
💩 Commission: 0.03 ％ (Exchange)
📆 BACKTEST
🗓️ Start: Setember 24, 2019
🗓️ End: November 21, 2025
🗓️ Days: 2250
🗓️ Yers: 6.17
🗓️ Bars: 13502
📊 PERFORMANCE
💲 Net Profit: + 63446.89 $
🟢 Net Profit: + 634.47 ％
💲 DrawDown Maximum: - 10727.48 $
🔴 DrawDown Maximum: - 18.44 ％
🟢 Total Closed Trades: 1042
🟡 Percent Profitable: 63.92 ％
🟡 Profit Factor: 1.247
💲 Avg Trade: + 60.89 $
⏱️ Avg # Bars in Trades
🕯️ Avg # Bars: 4
⏳ Avg # Hrs: 15
✔️ Trades Winning: 666
❌ Trades Losing: 376
✔️ Maximum Consecutive Wins: 11
❌ Maximum Consecutive Losses: 7
📺 Live Performance : br.tradingview.com
• Use this strategy on the recommended pair and timeframe above to replicate the tested results.
• Feel free to experiment and explore other settings, assets, and timeframes.
CBS Strategy with Trailing Stop _ IK3-Candle High/Low Breakout Strategy – Clean, Powerful, Fully Customizable (Pine Script v6)
A simple yet effective momentum breakout strategy that triggers trades when price closes above the highest high or below the lowest low of the previous 3 completed candles.
Perfect for trending markets (stocks, forex, crypto, indices) on any timeframe.
Key Features:
• Pure price-action breakout logic (no repainting)
• Long & Short entries with visual triangle signals
• Built-in Stop Loss & Take Profit (fixed % or ATR-based)
• Optional Trailing Stop (percentage or ATR multiplier)
• All risk parameters fully adjustable from the settings panel
• Clean on-chart visualization of SL, TP, and active trailing stop levels
• Works on all instruments and timeframes
Default Settings (2:1 Reward/Risk):
• Stop Loss: 1.5%
• Take Profit: 3.0%
• Trailing Stop: 1.0% (optional)
How to Use:
1. Add to chart
2. Adjust risk settings to match your style (fixed % or ATR)
3. Enable/disable trailing stop as needed
4. Backtest and optimize per instrument/timeframe
Fully open-source • No external libraries • Pine Script v6
Great for swing trading, intraday breakouts, or as a base for further enhancements.
Happy trading!
Trendviewer_Auctheo.Trendviewer 240 is built for traders who want clearer structure and fewer false starts. It reads higher-timeframe trend strength and turns it into a simple visual map on your active chart. You get precise directional bias, dynamic stop zones that adapt to current volatility, and optional filters that help you stay aligned with momentum instead of fighting it.
The script highlights areas where the trend is shifting, shows you when conditions are supportive for entries, and manages exits using a mix of adaptive levels and tiered targets. Everything is designed to keep your decision-making clean without cluttering the chart or revealing unnecessary details.
If you trade with the higher timeframe in mind but want the execution on the lower timeframe to feel controlled and confident, this tool will fit right in.
Please for free to contact us @theauctiontheorist@gmail.com
Intraday Market Structure Research Tool (Reversal + Breakout)This script is a fully rule-based intraday strategy designed for research and backtesting purposes, not financial advice. It is intended to help traders study market behavior, time-based price patterns, and statistical trade outcomes under realistic trading assumptions.
What the Strategy Does
This strategy operates in two selectable trade modes:
1. Reversal Mode
Identifies statistically large candles relative to recent volatility
Enters counter-direction trades when price shows exhaustion behavior
Designed to study fade-type behavior around session extremes
2. Breakout Mode
Tracks recent swing highs/lows over a user-defined lookback
Executes trades only after confirmed price expansion beyond these levels
Designed to test momentum continuation behavior
Time & Session Filtering
Trades are only taken during user-defined market sessions, including:
New York 1
New York 2
London
Asia
This allows users to analyze performance differences between global trading sessions.
9:30 AM Opening Range Logic
The script captures the 9:30 AM (Eastern) one-minute candle high/low and uses that as an Opening Range:
Breakout trades can be confirmed above or below this range
The range is visualized for clarity
Risk Management & Realism Controls
This script includes realistic execution mechanics:
Fixed stop-loss and take-profit defined by the user (points or ticks)
Built-in slippage modeling
Commission assumptions included
Position sizing designed to keep risk per trade under 5–10% of account equity when used with realistic account sizes
Users are responsible for choosing realistic account sizes and risk values when running backtests.
Statistical Performance Tracking
The strategy records and displays performance data including:
Win rate
Average win and loss
Maximum drawdown per trade series
Expectancy
Trade distribution by:
Time of day
Session
Market classification
This allows users to study market tendencies and structural behavior over large sample sizes.
Visual Tools
The script displays:
Entry and exit markers
Blocked trade labels (when conditions are not met)
Opening range box
Breakout levels
Use Case Disclaimer
This script is designed for:
Backtesting
Market structure research
Statistical study
It is not guaranteed to be profitable, and results depend heavily on user-selected settings, market conditions, and realistic brokerage assumptions.
Mirror Blocks: StrategyMirror Blocks is an educational structural-wave model built around a unique concept:
the interaction of mirrored weighted moving averages (“blocks”) that reflect shifts in market structure as price transitions between layered symmetry zones.
Rather than attempting to “predict” markets, the Mirror Blocks framework visualizes how price behaves when it expands away from, contracts toward, or flips across stacked WMA structures. These mirrored layers form a wave-like block system that highlights transitional zones in a clean, mechanical way.
This strategy version allows you to study how these structural transitions behave in different environments and on different timeframes.
The goal is understanding wave structure, not generating signals.
How It Works
Mirror Blocks builds three mirrored layers:
Top Block (Structural High Symmetry)
Base Block (Neutral Wave)
Bottom Block (Structural Low Symmetry)
The relative position of these blocks — and how price interacts with them — helps visualize:
Compression and expansion
Reversal zones
Wave stability
Momentum transitions
Structure flips
A structure is considered bullish-stack aligned when:
Top > Base > Bottom
and bearish-stack aligned when:
Bottom > Base > Top
These formations create the core of the Mirror Blocks wave engine.
What the Strategy Version Adds
This version includes:
Long Only, Short Only, or Long & Short modes
Adjustable symmetry distance (Mirror Distance)
Configurable WMA smoothing length
Optional trend filter using fast/slow MA comparison
ENTER / EXIT / LONG / SHORT labels for structural transitions
Fixed stop-loss controls for research
A clean, transparent structure with no hidden components
It is optimized for educational chart study, not automated signals.
Intended Purpose
Mirror Blocks is meant to help traders:
Study structural transitions
Understand symmetry-based wave models
Explore how price interacts with mirrored layers
Examine reversals and expansions from a mechanical perspective
Conduct long and short backtesting for research
Develop a deeper sense of market rhythm
This is not a prediction model.
It is a visual and structural framework for understanding movement.
Backtesting Disclaimer
Backtest results can vary depending on:
Slippage settings
Commission settings
Timeframe
Asset volatility
Structural sensitivity parameters
Past performance does not guarantee future results.
Use this as a research tool only.
Warnings & Compliance
This script is educational.
It is not financial advice.
It does not provide signals.
It does not promise profitability.
The purpose is to help visualize structure, not predict price.
The strategy features are simply here to help users study how structural transitions behave under various conditions.
License
Released under the Michael Culpepper Gratitude License (2025).
Use and modify freely for education and research with attribution.
No resale.
No promises of profitability.
Purpose is understanding, not signals.
Semi-Martingala Sicura 1.20x PROIncrements or a maximum amount of 200. If the previous trade is profitable, the count is reset and the initial amount is resumed. Exit management uses fixed percentage stop loss and take profit, set relative to the entry price. In summary, this strategy aims to capitalize on trend and momentum signals, using a semi-martingale system to increase positions in case of losses, but with precise limits to contain risk. Note: This method aims to be "safer" than a classic martingale, respecting increment limits and a maximum amount.
Comment by saying what you think and what I could change.
Liquidity Sweep + BOS Retest System — Prop Firm Edition🟦 Liquidity Sweep + BOS Retest System — Prop Firm Edition
A High-Probability Smart Money Strategy Built for NQ, ES, and Funding Accounts
🚀 Overview
The Liquidity Sweep + BOS Retest System (Prop Firm Edition) is a precision-engineered SMC strategy built specifically for prop firm traders. It mirrors institutional liquidity behavior and combines it with strict account-safe entry rules to help traders pass and maintain funding accounts with consistency.
Unlike typical indicators, this system waits for three confirmations — liquidity sweep, displacement, and a clean retest — before executing any trade. Every component is optimized for low drawdown, high R:R, and prop-firm-approved risk management.
Whether you’re trading Apex, TakeProfitTrader, FFF, or OneUp Trader, this system gives you a powerful mechanical framework that keeps you within rules while identifying the market’s highest-probability reversal zones.
🔥 Key Features
1. Liquidity Sweep Detection (Stop Hunt Logic)
Automatically identifies when price clears a previous swing high/low with a sweep confirmation candle.
✔ Filters noise
✔ Eliminates early entries
✔ Locks onto true liquidity grabs
2. Automatic Break of Structure (BOS) Confirmation
Price must show true displacement by breaking structure opposite the sweep direction.
✔ Confirms momentum shift
✔ Removes fake reversals
✔ Ensures institutional intent
3. Precision Retest Entry Model
The strategy enters only when price retests the BOS level at premium/discount pricing.
✔ Zero chasing
✔ Extremely tight stop loss placement
✔ Prop-firm-friendly controlled risk
4. Built-In Risk & Trade Management
SL set at swept liquidity
TP set by user-defined R:R multiplier
Optional session filter (NY Open by default)
One trade at a time (no pyramiding)
Automatically resets logic after each trade
This prevents overtrading — the #1 cause of evaluation and account breaches.
5. Designed for Prop Firm Futures Trading
This script is optimized for:
Trailing/static drawdown accounts
Micro contract precision
Funding evaluations
Low-risk, high-probability setups
Structured, rule-based execution
It reduces randomness and emotional trading by automating the highest-quality SMC sequence.
🎯 The Trading Model Behind the System
Step 1 — Liquidity Sweep
Price must take out a recent high/low and close back inside structure.
This confirms stop-hunting behavior and marks the beginning of a potential reversal.
Step 2 — BOS (Break of Structure)
Price must break the opposite side swing with a displacement candle. This validates a directional shift.
Step 3 — Retest Entry
The system waits for price to retrace into the BOS level and signal continuation.
This creates optimal R:R entry with minimal drawdown.
📈 Best Markets
NQ (NASDAQ Futures) – Highly recommended
ES, YM, RTY
Gold (XAUUSD)
FX majors
Crypto (with high volatility)
Works best on 1m, 2m, 5m, or 15m depending on your trading style.
🧠 Why Traders Love This System
✔ No signals until all confirmations align
✔ Reduces overtrading and emotional decisions
✔ Follows market structure instead of random indicators
✔ Perfect for maintaining long-term funded accounts
✔ Built around institutional-grade concepts
✔ Makes your trading consistent, calm, and rules-based
⚙️ Recommended Settings
Session: 06:30–08:00 MST (NY Open)
R:R: 1.5R – 3R
Contracts: Start with 1–2 micros
Markets: NQ for best structure & volume
📦 What’s Included
Complete strategy logic
All plots, labels, sweep markers & BOS alerts
BOS retest entry automation
Session filtering
Stop loss & take profit system
Full SMC logic pipeline
🏁 Summary
The Liquidity Sweep + BOS Retest System is a complete, prop-firm-ready, structure-based strategy that automates one of the cleanest and most reliable SMC entry models. It is designed to keep you safe, consistent, and rule-compliant while capturing premium institutional setups.
If you want to trade with confidence, discipline, and prop-firm precision — this system is for you.
Good Luck -BG
Faraz Perfect Structure XL / XS (Trend-Filtered)Faraz’s Perfect Structure XL/XS identifies premium trend continuation and reversal setups using a three-filter system:
structural breakouts using dynamic swing-based support/resistance,
trend confirmation via 200-EMA slope,
momentum validation through RSI and MACD.
Signals only trigger when all factors align, eliminating noise, chop, and false signals.
Designed for traders who want clean, high-probability long (XL) and short (XS) entries.
EMA 50/200 Pullback + RSI (BTC/USDT 15m - 2 Bar Logic)I recognize that combining indicators requires clear justification on how the components interact Therefore the new scripts description will explicitly detail the strategys operational logic
Objective The strategy is a Trend Following Pullback System designed for high frequency time frames 15m
Synergy The EMA50 EMA200 defines the primary Trend Direction Trend Filter It then utilizes a 2 Bar Pullback Logic to find an entry point where the price has momentarily reversed against the trendline and the RSI 14 serves as a Momentum Filter RSI greater than 50 for Long RSI less than 50 for Short to minimize false signals
Seawolf Pivot Hunter [Strategy]Overview
Seawolf Pivot Hunter is a practical trading strategy that enhances the classic pivot-box breakout system with a structured risk-management framework. Using ATR-based stop loss and take-profit calculations, position sizing, multi-layer filtering, and daily loss-limit protection, it provides a stable and sustainable trading environment. It preserves the strengths of the original version while adding systems designed to manage real-market risks more effectively.
Core Philosophy
The most important element in trading is not generating profits but controlling losses. Even the best entry signals cannot compensate for a single large loss that wipes out accumulated gains. This strategy precisely calculates the risk exposure for every trade and includes multiple layers of protection to safeguard the account under worst-case scenarios.
Indicator Setup Link
kr.tradingview.com
Example of Optimal Parameter Settings
Asset (Exchange): ETH/USDT (Binance)
Timeframe: 15-minute chart
Pivot Detection Length: 5
Upper Box Width: 2
Lower Box Width: 2
Enable Risk Management: False
Use Trailing Stop: False
Use Volume Filter
-Min Buy Volume % for Long: 50
-Min Sell Volume % for Short: 50
Use Trend Filter (EMA): False
Enable Max Loss Protection
-Max Daily Loss ($): 200
-Max Trades Per Day: 10
Calculated Bars: 50,000
Risk-Management System
Every trade automatically receives a stop-loss level at the moment of entry. The stop is calculated using ATR, adjusting dynamically to market volatility. When volatility increases, the stop widens; in stable conditions, it tightens to reduce unnecessary exits. The default distance is set to twice the ATR.
The standard take-profit level is set to four times the ATR, providing a 1:2 risk-reward structure. With this ratio, even a 50 percent win rate can produce profitability—while the typical trade structure aims for small losses and larger gains to support long-term performance.
A trailing-stop option is also available. Once the trade moves into profit, the stop level automatically trails behind price action, protecting gains while allowing the position to expand when momentum continues.
Position size is calculated automatically based on the selected risk percentage. For example, with a 2 percent risk setting, each stop-loss hit would result in exactly 2 percent of the account balance being lost. This ensures a consistent risk profile regardless of account size.
The daily loss-limit function prevents excessive drawdown by halting new trades once a predefined loss threshold is reached. This helps avoid emotional decision-making after consecutive losses.
A daily trade-limit feature is included as well. The default is 10 trades per day, protecting traders from overtrading and unnecessary fees.
Filtering System
The volume filter analyzes buying and selling pressure within the pivot box. Long trades are allowed only when buy volume exceeds a specified percentage; shorts require sell-volume dominance. The default threshold is 55 percent.
The trend filter uses an EMA to determine market direction. When price is above the 200-EMA, only long signals are permitted; when below, only shorts are allowed. This ensures alignment with the broader trend and reduces counter-trend risk.
Each filter can be toggled independently. More filters generally reduce trade frequency but improve signal quality.
Real-Time Monitoring
A real-time statistics panel displays daily profit/loss, the number of trades taken, the maximum allowed trades, and whether new trades are currently permitted. When daily limits are reached, the panel provides clear visual warnings.
Entry Logic
A trade is validated only after a pivot-box breakout occurs and all active filters—volume, trend, daily loss limit, and daily trade limit—are satisfied. Position size, stop loss, and take-profit levels are then calculated automatically. Entry arrows and labels on the chart help with later review and analysis.
Setup Guide
Risk percentage is the most critical setting. Beginners should start at 1 percent. Anything above 3 percent becomes aggressive.
ATR stop-loss multipliers should reflect asset volatility.
ATR take-profit multipliers determine reward ratio; 4.0 is the standard.
Volume thresholds are typically set between 50–60 percent depending on market conditions.
Daily loss limits are typically 2–5 percent of the account.
Trading Strategy
This strategy performs best in trending environments and works especially well on the 4-hour and daily charts. New users should begin with all filters enabled and trade conservatively. A minimum of one month of paper trading is recommended before committing real capital.
Suitable Users
The strategy is ideal for beginners who lack risk-management experience as well as advanced traders seeking a customizable structure. It is particularly helpful for traders who struggle with emotional decision-making, as pre-defined limits and rules enforce discipline.
Backtesting Guide
Use at least 2–3 years of historical data that includes bullish, bearish, and sideways conditions.
Target metrics:
Sharpe ratio: 1.5 or higher
Maximum drawdown: below 25 percent
Win rate: 40 percent or higher
Total trades: at least 100 for statistical relevance
Optimization Precautions
Avoid over-fitting parameters. Always test values around the “best” setting to verify stability.
Out-of-sample testing is essential for confirming robustness.
Test across multiple assets and timeframes to ensure consistency.
Live Deployment Roadmap
After successful backtesting, follow a gradual rollout:
Paper trading for at least one month
Small-account live testing
Slow scaling as performance stabilizes
Continuous Improvement
Keep a detailed trading journal and evaluate performance each quarter using recent data.
Adapt settings as market conditions evolve.
Conclusion
Seawolf Pivot Hunter aims to provide more than simple trade signals—it is designed to create a stable and sustainable trading system built on disciplined risk management. No strategy is perfect, and long-term success depends on consistency, patience, and strict adherence to rules. Start small, verify results, and scale progressively.
Disclaimer
This strategy is for educational and research purposes only. Past performance does not guarantee future results. All trading decisions are the responsibility of the user.
개요
Seawolf Pivot Hunter는 기본 피봇 박스 브레이크아웃 전략에 전문적인 리스크 관리 시스템을 더한 실전형 트레이딩 전략입니다. ATR 기반의 손절매와 목표가 설정, 포지션 사이징, 다층 필터링 시스템, 일일 손실 제한 기능을 통해 안정적이고 지속 가능한 트레이딩 환경을 제공합니다. 기본 버전의 장점은 유지하면서 실제 시장에서 발생할 수 있는 위험을 체계적으로 관리할 수 있도록 설계되었습니다.
핵심 철학
트레이딩에서 가장 중요한 것은 수익이 아니라 손실 관리입니다. 아무리 훌륭한 진입 조건이 있어도 한 번의 큰 손실로 모든 수익이 사라질 수 있습니다. 이 전략은 각 거래마다 감수할 리스크를 명확히 계산하고, 최악의 상황에서도 계좌를 보호하기 위한 다양한 안전장치를 제공합니다.
지표 적용 링크 공유
kr.tradingview.com
최적 조건값 설정(예시)
"종목(거래소): ETH/USDT(Binance)", "15 분봉 기준"
-Pivot Detection Length: 5
-Upper Box width: 2
-Lower Box width: 2
-Enable Risk Management: False
-Use Trailing Stop: False
-Use Volume Filter
-Min Buy Volume % for Long: 50
-Min Buy Volume % for Long: 50
-Use Trend Filter(EMA): False
-Enable Max Loss Protection
-Max Daily Loss($): 200
-Max Trades Per Day: 10
-Calucated bars: 50000
리스크 관리 시스템
모든 거래는 진입과 동시에 손절매 주문이 자동 설정됩니다. 손절가는 ATR을 기준으로 계산되며, 시장의 변동성에 따라 자동으로 조정됩니다. 변동성이 큰 시장에서는 넓은 손절폭을, 안정적인 시장에서는 좁은 손절폭을 사용해 불필요한 청산을 줄입니다. 기본값은 ATR의 2배입니다.
목표가는 ATR의 4배를 기본값으로 설정하여 손익비 1:2 구조를 유지합니다. 승률이 50퍼센트만 되어도 수익성이 가능하며, 실제로는 손절은 짧고 이익은 길게 가져가는 방식으로 장기 성과를 확보합니다.
트레일링 스톱 기능도 제공됩니다. 포지션이 수익 구간에 들어서면 손절가가 자동으로 함께 움직이며 수익을 보호합니다. 이 기능은 사용자가 켜거나 끌 수 있습니다.
포지션 크기는 리스크 퍼센트 기반으로 자동 계산됩니다. 예를 들어 리스크를 2퍼센트로 설정하면 손절 시 계좌 자산의 2퍼센트만 잃도록 수량이 조절됩니다. 계좌 크기와 무관하게 항상 일정한 비율의 리스크만 감수하게 되는 방식입니다.
일일 손실 제한 기능은 하루에 허용 가능한 최대 손실을 초과하지 않도록 합니다. 지정 금액에 도달하면 당일 거래는 더 이상 실행되지 않습니다. 감정적 거래를 막고 일정한 규율을 유지하도록 돕습니다.
일일 거래 횟수 제한 기능도 제공됩니다. 기본값은 하루 10회로, 과매매와 수수료 증가를 방지합니다.
필터링 시스템
볼륨 필터는 박스 구간 내 매수·매도 압력을 분석해 진입 신호를 검증합니다. 롱은 매수 볼륨이 일정 비율 이상일 때, 숏은 매도 볼륨이 우세할 때만 진입합니다. 기본값은 55퍼센트입니다.
추세 필터는 EMA를 사용하며, 가격이 200EMA 위에 있을 때는 롱 신호만, 아래에서는 숏 신호만 허용합니다. 큰 추세 방향에만 거래하여 역추세 리스크를 줄입니다.
필터는 독립적으로 켜고 끌 수 있으며, 필터가 많을수록 거래 횟수는 줄지만 신호 품질은 향상됩니다.
실시간 모니터링
화면에 실시간 통계 테이블이 표시되며, 일일 손익, 거래 횟수, 최대 허용 횟수, 현재 거래 가능 여부가 즉시 확인됩니다. 손실 제한 또는 거래 제한 도달 시 시각적으로 표시됩니다.
진입 로직
피봇 박스 브레이크아웃 발생 후 볼륨 필터, 추세 필터, 일일 손실·거래 제한을 모두 통과하면 포지션 크기를 계산하고 손절·목표가를 설정한 뒤 진입합니다. 진입 지점에는 화살표와 레이블이 표시되어 분석에 도움을 줍니다.
설정 가이드
리스크 퍼센트는 가장 중요한 설정입니다. 초보자는 1퍼센트를 추천하며 3퍼센트 이상은 위험합니다.
손절 ATR 배수는 자산 특성에 맞게 조절합니다.
목표가 ATR 배수는 손익비를 결정하며 기본값은 4.0입니다.
볼륨 비율은 시장 상황에 따라 50~60퍼센트 내외로 조정합니다.
일일 손실 제한은 계좌의 2~5퍼센트 수준이 적절합니다.
사용 전략
추세가 명확한 시장에서 가장 효과적이며, 4시간봉 또는 일봉을 추천합니다. 초반에는 모든 필터를 켜고 보수적으로 시작하며, 최소 한 달간 페이퍼 트레이딩을 권장합니다.
적합한 사용자
리스크 관리 경험이 부족한 초보자부터, 커스터마이징을 원하는 경험자까지 폭넓게 적합합니다. 감정적 트레이딩을 억제하는 기능이 있어 규율 유지가 어렵던 트레이더에게 특히 유용합니다.
백테스트 가이드
최소 2~3년 데이터로 테스트하며, 상승·하락·횡보 모두 포함해야 합니다.
샤프비율 1.5 이상, 최대 낙폭 25퍼센트 이하를 목표로 합니다.
승률은 40퍼센트 이상이면 충분합니다.
최소 100회 이상 거래가 있어야 통계적으로 의미가 있습니다.
최적화 주의사항
과최적화를 피하고 주변 값도 테스트해야 합니다.
샘플 외 기간 검증은 필수입니다.
여러 자산·여러 시간대에서 테스트하여 일관성을 확인해야 합니다.
실전 적용 로드맵
백테스트 후 바로 실전 투입하지 말고, 한 달 이상의 페이퍼 트레이딩 → 소액 실전 → 점진적 확대 순으로 진행합니다.
지속적 개선
일지를 기록하고 분기마다 최신 데이터로 점검합니다.
시장 변화에 따라 유연하게 조정해야 합니다.
마치며
Seawolf Pivot Hunter는 단순 신호 제공을 넘어, 안전하고 지속 가능한 트레이딩 환경 구축을 목표로 합니다. 어떤 전략도 완벽할 수 없으며, 장기적 성공을 위해서는 규칙 준수와 인내가 가장 중요합니다. 충분한 검증을 거쳐 작은 금액으로 시작하고 점진적으로 확장해나가는 접근을 추천합니다.
면책 조항
이 전략은 교육 및 연구 목적이며, 과거 성과는 미래를 보장하지 않습니다. 모든 투자 결정은 본인의 판단과 책임 하에 이루어져야 합니다.
RSI BREAKOUT SIGNALSThis BB + RSI Breakout indicator is designed to help traders identify potential buy and sell opportunities based on price movements relative to the Donchian channel (or Bollinger-type channel) and momentum conditions. It calculates the highest high and lowest low over a user-defined length to form a dynamic channel, and then it checks whether the current price breaks above the upper band (for a buy signal) or below the lower band (for a sell signal). To avoid repeated signals in a row, the indicator uses a state system: after a buy signal occurs, it will not generate another buy until a sell occurs, and vice versa. When a buy signal is triggered, it automatically calculates a take-profit price a certain percentage above the buy candle and displays this price below the candle as a “TP” label. Sell signals are displayed above the candle, and any previous TP label is cleared. The indicator updates in real time, so the signals move with the chart, giving a clear and lag-free visualization of entry points and potential profit targets.
RubberBand Scalp NQ Strategy (V6 - High PF Focus)
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RUBBERBAND SCALP NQ (V6 - HIGH PF FOCUS)
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// STRATEGY OVERVIEW
// -----------------
// Instrument: NQ (Nasdaq 100 E-mini Futures)
// Style: Intraday mean-reversion scalping
// Core Idea: Price "stretches" away from VWAP, then "snaps back" → enter on strong reversal
// Session: 9:00 AM – 2:30 PM CST (America/Chicago)
// Timeframe: 1–5 min (ideal: 2–3 min)
// Position: 2 contracts, pyramiding = 0
// Commission: $2.00 per contract
// Goal: High Profit Factor via asymmetric exits (1R fixed + unlimited runner)
// KEY FILTERS
// -----------
// • Only trade when ATR(15) > 5.0 points (~$100 range) → avoids chop
// • Must be in session → forces flat at 2:30 PM
// • VWAP proximity: price must touch within 0.5 × ATR of VWAP
// ENTRY LOGIC (LONG)
// -----------------
// 1. In session & no position
// 2. Close > Open (bullish bar)
// 3. Close > highest high of last 4 bars → momentum confirmation
// 4. Close > VWAP
// 5. Low < VWAP + (0.5 × ATR) → pullback reached VWAP zone
// 6. ATR > 5.0
// 7. Bar confirmed
// → Plot green triangle below bar
// ENTRY LOGIC (SHORT) – Symmetric
// -----------------
// 1. Close < Open
// 2. Close < lowest low of last 4 bars
// 3. Close < VWAP
// 4. High > VWAP - (0.5 × ATR)
// 5. ATR > 5.0
// → Plot red triangle above bar
// STOP LOSS – DUAL SYSTEM (Widest Stop Wins)
// -----------------------------------------
// VWAP Stop (Long): VWAP - 0.20
// ATR Stop (Long): Close - min(ATR × 1.0, 15.0)
// Final Stop: MAX(VWAP Stop, ATR Stop) → then CAP at Close - 0.20
// Short: MIN of both → FLOOR at Close + 0.20
// → Max buffer: 0.20 pts = $20 (4 ticks)
// → Risk = |Entry – Final Stop|
// PROFIT TAKING – 2 CONTRACTS
// ---------------------------
// Contract #1: Fixed 1R → limit = entry + risk (long) / entry - risk (short)
// Contract #2: Trailing stop only → trail_points = risk, trail_offset = 0
// NO FIXED TAKE PROFIT ON RUNNER → lets 3R, 5R, 10R+ winners run
// BUG: Short runner uses trail_offset = 1.5 → CHANGE TO 0
// V6 IMPROVEMENTS
// ---------------
// 1. ATR_STOP_MULTIPLIER reduced from 1.5 → 1.0 → tighter average loss
// 2. Removed fixed 2R cap on runner → unlimited upside
// 3. Widest-stop logic → prevents premature stop-outs
// TRADE EXAMPLE (LONG)
// -------------------
// Entry: 18,125 (2 contracts)
// Stop: 18,110 → Risk = $300/contract
// 1R: 18,155 → Contract #1 exits (+$600)
// Runner trails by $300 → exits at 18,425 (+$6,000)
// Total P&L: +$6,600
// PERFORMANCE EXPECTATIONS
// ------------------------
// Win Rate: 40–50%
// Avg Winner: >3× avg loser
// Profit Factor: 2.0–3.5+
// Max Drawdown: <5% (with risk controls)
// DAILY CHECKLIST
// ---------------
// 2–3 min NQ chart
// Timezone: America/Chicago
// ATR > 5.0
// Price touched VWAP zone
// 4-bar breakout confirmed
// trail_offset = 0 (both sides)
// Alerts on
// Log R-multiple
// FINAL NOTES
// -----------
// This is a PROFIT FACTOR system — not a high win-rate system.
// Success = discipline + volatility + clean execution.
================================================================================
Moving Average Band StrategyOverview
The Moving Average Band Strategy is a fully customizable breakout and trend-continuation system designed for traders who need both simplicity and control.
The strategy creates adaptive bands around a user-selected moving average and executes trades when price breaks out of these bands, with advanced risk-management settings including optional Risk:Reward targets.
This script is suitable for intraday, swing, and positional traders across all markets — equities, futures, crypto, and forex.
Key Features
✔ Six Moving Average Types
Choose the MA that best matches your trading style:
SMA
EMA
WMA
HMA
VWMA
RMA
✔ Dynamic Bands
Upper Band built from MA of highs
Lower Band built from MA of lows
Adjustable band offset (%)
Color-coded band fill indicating price position
✔ Configurable Strategy Preferences
Toggle Long and/or Short trades
Toggle Risk:Reward Take-Profit
Adjustable Risk:Reward Ratio
Default position sizing: % of equity (configurable via strategy settings)
Entry Conditions
Long Entry
A long trade triggers when:
Price crosses above the Upper Band
Long trades are enabled
No existing long position is active
Short Entry
A short trade triggers when:
Price crosses below the Lower Band
Short trades are enabled
No existing short position is active
Clear entry markers and price labels appear on the chart.
Risk Management
This strategy includes a complete set of risk-controls:
Stop-Loss (Fixed at Entry)
Long SL: Lower Band
Short SL: Upper Band
These levels remain constant for the entire trade.
Optional Risk:Reward Take-Profit
Enabled/disabled using a toggle switch.
When enabled:
Long TP = Entry + (Risk × Risk:Reward Ratio)
Short TP = Entry – (Risk × Risk:Reward Ratio)
When disabled:
Exits are handled by reverse crossover signals.
Exit Conditions
Long Exit
Stop-Loss Hit (touch-based)
Take-Profit Hit (if enabled)
Reverse Band Crossover (if TP disabled)
Short Exit
Stop-Loss Hit (touch-based)
Take-Profit Hit (if enabled)
Reverse Band Crossover (if TP disabled)
Exit markers and price labels are plotted automatically.
Visual Tools
To improve clarity:
Upper & Lower Band (blue, adjustable width)
Middle Line
Dynamic band fill (green/red/yellow)
SL & TP line plotting when in position
Entry/Exit markers
Price labels for all executed trades
These are built to help users visually follow the strategy logic.
Alerts Included
Every trading event is covered:
Long Entry
Short Entry
Long SL / TP / Cross Exit
Short SL / TP / Cross Exit
Combined Alert for webhook/automation (JSON-formatted)
Perfect for algo trading, Discord bots, or automation platforms.
Best For
This strategy performs best in:
Trending markets
Breakout environments
High-momentum instruments
Clean intraday swings
Works seamlessly on:
Stocks
Index futures
Commodities
Crypto
Forex
⚠️ Important Disclaimer
This script is for educational purposes only.
Trading involves risk. Backtest results are not indicative of future performance.
Always validate settings and use proper position sizing.
FX Swing — Compact Auto-Sizing (Fixed)A compact Forex swing-trading strategy that combines higher-timeframe EMA trend bias, EMA pullback confirmation, and RSI momentum filtering. It automatically sizes positions using either risk-percentage or fixed-risk, adapts pip values for JPY and non-JPY pairs, and generates clear SL/TP levels with partial take-profit exits. The script also sends structured JSON alerts for webhooks or WhatsApp automation, making it ideal for fast, disciplined, and risk-controlled swing entries.
MOMO – Imbalance Trend (SIMPLE BUY/SELL)MOMO – Imbalance Trend (SIMPLE BUY/SELL)
This strategy combines trend breaks, imbalance detection, and first-tap supply/demand entries to create a clean and disciplined trading model.
It automatically highlights imbalance candles, draws fresh zones, and waits for the first retest to deliver precise BUY and SELL signals.
Performance
On optimized settings, this strategy shows an estimated 57%–70% win-rate, depending on the asset and timeframe.
Actual performance may vary, but the model is built for consistency, discipline, and improved decision-making.
How it works
Detects trend structure shifts (BOS / Break of Trend)
Identifies displacement (imbalance) candles
Creates supply and demand zones from imbalance origin
Waits for first tap only (no second chances)
Confirms direction using trend logic
Generates clean BUY/SELL arrows
Automatic SL/TP based on user settings
Features
Clean BUY/SELL markers
Auto-drawn supply & demand zones
Trend break markers
Imbalance tags
Smart first-tap confirmation
Customizable stop loss & take profit
Works on crypto, gold, forex, indices
Best on M5–H1 for day trading
Note
This strategy is designed for day traders who want clarity, structure, and zero emotional trading.
Use it with discipline — and it will serve you well.
Good luck, soldier.
LiquiBreak — Semi-Automatic Breakout, Gap & Trend-Filter StrategLiquiBreak is a semi-automatic breakout + gap detection strategy that combines pivots, a volatility filter and an optional Supertrend direction check to generate entry signals. It can optionally place take-profit and stop-loss orders in points. Use it to highlight high-probability breakout/gap setups and to automate exits when you want — otherwise treat its signals as trade alerts that require your confirmation.
📌 LiquiBreak — Semi-Automatic Breakout, Gap & Trend Strategy
1. Overview
1. LiquiBreak is a semi-automatic breakout + gap strategy designed to catch high-quality moves with volatility confirmation.
2. Uses pivot-based support/resistance , gap detection , Supertrend filtering , and optional automatic TP/SL in points .
3. Works on all assets and timeframes, especially effective on XAUUSD, Indices, Crypto and FX pairs .
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2. What This Script Detects
1. Breakouts above resistance and below support during strong volatility.
2. Bullish & bearish gap patterns confirmed with momentum sequences.
3. Dynamic volatility zones based on normalized ATR ranges.
4. Optional Supertrend trend direction for filtering bad signals.
5. Automatic TP/SL orders when enabled.
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3. Recommended Indicators to Combine With
To increase accuracy and reduce false breakouts:
1. Supertrend (included) – best for trend direction.
2. EMA 9/21 or EMA 20/50 – confirms trend strength & pullbacks.
3. RSI or Stoch RSI – avoid overbought/oversold breakouts.
4. VWAP – institutional bias & fair value zones.
5. CPR / Pivot Points – confluence with breakout levels.
6. MACD – trend confirmation on higher timeframe.
7. Volume Profile (optional) – find breakout liquidity zones.
These indicators help filter low-quality signals without affecting the script’s core logic.
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4. Key Features
1. Volatility-based pivot support & resistance .
2. Reliable breakout confirmation using real-time volatility strength.
3. Strong gap pattern detection with ATR threshold.
4. Optional Supertrend confirmation for safer entries.
5. Point-based Take Profit / Stop Loss .
6. Toggle on/off: Longs, Shorts, TP, SL .
7. Semi-automatic execution — not fully automated.
8. Clean, optimized structure for stability and speed.
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5. Inputs / Settings
1. Pivot / Levels Period – defines structural S/R levels.
2. Volatility Filter (%) – prevents low-quality signals.
3. TP Points – automatic take-profit target.
4. SL Points – automatic stop-loss.
5. Enable TP / Enable SL – full exit control.
6. Allow Long / Allow Short – direction control.
7. Supertrend Filter – filter weak counter-trend trades.
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6. How to Use the Strategy
1. Select timeframe & tune pivot/volatility settings.
2. Enable/disable automatic TP/SL based on your style.
3. Turn ON Supertrend for safer trend-based trades.
4. Confirm signals using EMA, RSI, VWAP, Volume or CPR.
5. Watch for high-volatility breakouts near key levels.
6. Use multiple timeframe analysis for stronger confirmation.
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7. Important Warning (User Must Monitor Trades)
⚠ This script is NOT a fully automatic bot.
1. You MUST monitor the chart while using this strategy.
2. You MUST manually close trades if market conditions change.
3. Auto TP/SL helps, but during news events or fast markets, slippage may occur.
4. Treat this script as a signal + entry assistant , not a fire-and-forget system.
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8. Best Practices
1. Works best on XAUUSD, NAS100, BTC, ETH, EURUSD .
2. Avoid major news unless experienced.
3. Increase volatility filter during choppy markets.
4. Use M15–H1 for clean breakouts; M5 for scalping.
5. For beginners: keep TP/SL enabled for safety.
6. Backtest first → then paper trade → then live trade.
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9. Disclaimer
1. For educational and research purposes only .
2. Not financial advice.
3. User is fully responsible for their trades and risk.
4. Past performance does not guarantee future results.
BTC 1h StratUses LuxAlgo-style Support/Resistance levels (pivot-based, with volume break labels).
Adds momentum confirmation (RSI + MACD) to filter fakeouts.Keeps your swing breakout logic (close above swing high / below swing low).
Includes liquidity and TP/SL risk management.
EMA Wick A+ Retest StrategyThe EMA Wick A+ Retest Strategy is a precision pullback system built for high-probability trend entries. It uses a combination of:
EMA 21 dynamic trend filtering
ATR-based stop-loss and reward targeting (1:1.5 RR)
Wick retest logic, where the lower wick must touch the EMA and represent at least 50% of the candle's range
Optional filter: RSI > 50 for bullish momentum confirmation
This strategy is designed to capture institutional-style entries after a clean pullback in an uptrend.
✅ Clean signals
✅ High risk-to-reward setups
✅ Built for swing trading or intraday with strong trend bias
Ideal for Forex, Crypto, and Indices.
Use responsibly. Backtest before live trading.
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy
Overview
This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets.
The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse).
This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums).
Key Indicators
1. Normalized Open Interest (nOI)
Group: Open Interest
Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends.
Calculation:
Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI").
Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100.
Upper threshold (default: 70%): Signals potential short opportunities when crossed from above.
Lower threshold (default: 30%): Signals potential long opportunities when crossed from below.
Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%.
Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available.
2. Funding Rate
Group: Funding Rate
Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias.
Calculation:
Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium").
Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data.
Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x).
Upper threshold (default: 1.0%): Overheat for shorts.
Lower threshold (default: 1.0%): Overcool for longs.
Ultra level (default: 1.8%): Extreme for additional short signals.
Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise.
Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra.
Notes: Custom ticker option for non-standard symbols.
3. Cumulative Volume Delta (CVD)
Group: CVD (Cumulative Volume Delta)
Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price.
Calculation:
Delta: +volume if close > open, -volume if close < open.
Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20).
Normalized: Scaled by absolute max in window (-1 to 1 range).
Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x).
Upper threshold (default: 1.0%): Over for shorts.
Lower threshold (default: 1.0%): Under for longs.
Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252).
Filter Options (for Signal A):
Enable filter (default: false).
Require sign match (Long ≥0, Short ≤0).
Require extreme zones.
Require momentum (rising/falling over N bars, default: 3).
Signal Logics for Entries
Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions.
Signal System A: OI + Funding (with optional CVD filter)
Enabled: Default true.
Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK.
Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK.
Signal System B: Short - Funding Crossunder + Filters
Enabled: Default true.
Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper.
Signal System C: Short - Ultra Funding
Enabled: Default false.
Sell (Short): Funding crosses ultra level (up or down, both default true).
Signal System D: Long - Funding Crossover + Filters
Enabled: Default true.
Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower.
Combined: Sell if A/B/C active; Buy if A/D active.
Entry Filters
Cooldown: Optional pause between entries (default: false, 3 bars).
Max Entries: Limit pyramiding (default: true, 6 max).
Entries only if both filters pass and direction allowed.
Opposite Signal Handling
Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only).
Processed before regular entries.
Position Management
Martingale (3 Steps):
Enabled per step (default: all true).
Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each).
Resets on position close.
Break Even:
Enabled (default: true).
Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%).
Exit Systems
Multiple exits checked in sequence.
Exit 1: SL/TP
Enabled: Separate for long/short (default: true).
SL: % from avg price (defaults: 1% long/short).
TP: % from avg price (defaults: 2% long/short).
Exit 2: Funding
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: Funding > upper exit threshold (default: 0.8%).
Short Exit: Funding < lower exit threshold (default: 0.8%).
Exit 3: nOI
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: nOI > upper exit (default: 85%).
Short Exit: nOI < lower exit (default: 15%).
Exit 4: Global SL
Enabled: Default true.
Exit: If position loss ≥ % (default: 7%).
Exit 5: Break Even (integrated in position block)
Exit 6: Time Limit
Enabled: Separate for long/short (default: true).
Exit: After N bars in trade (defaults: 30 each).
Timer updates on add-ons if enabled (default: true).
Visual Elements
Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30.
All indicators plotted on a separate pane (overlay=false).
Usage Notes
Backtesting: Adjust parameters based on asset/timeframe. Test on historical data.
Data Requirements: Works best on crypto perps with OI and funding data.
Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale.
Customization: All thresholds, enables, and scales are inputs for fine-tuning.
Version: Pine Script v6.
For questions or improvements, contact the author. Happy trading!
5-min Strat Strategy V2 (With Stop Loss)README: 5-min Strat Strategy V2 – $7,500 Stop Loss Version
✅ Description
This is a rules-based intraday trading strategy developed for use on futures contracts like MNQ (Micro Nasdaq) or MES (Micro S&P). It focuses on momentum-based breakout entries above pre-market highs, during regular trading hours, and uses EMAs to define trend alignment.
⚙️ Strategy Components
✅ Trade Type
Long-Only strategy
Entry and exit based on EMAs, price position, and time windows
✅ Time Frame
Built for 5-minute charts
✅ Symbols
Optimized for MNQ (Micro Nasdaq Futures)
Works on MES or other U.S. index futures with similar structure
📅 Time Windows
Pre-Market Hours (PMH/PML): 04:00 – 09:30 AM EST
Regular Trading Hours (RTH): 09:30 AM – 4:00 PM EST
Auto Exit Time: 4:59 PM EST (to comply with prop firm rules)
📌 Entry Conditions (Long)
48 EMA > 200 EMA (Bullish alignment)
Price > Locked Pre-Market High
Green Candle (close > open)
During RTH (9:30–16:00 EST)
Cooldown: Must wait 4 candles after last entry
Max Trades per Day: 3
💥 Exit Conditions
Primary Exit: Close below the 48 EMA
Max Loss Exit: Stop loss set to $7,500 per trade
EOD Exit: All positions are closed at 4:59 PM EST
💰 Risk Management
Contracts: 6 Micro contracts per trade
Stop Loss: Dynamic point-based SL calculated based on:
MNQ point value = $20/point per contract
30 contracts = $120/point
Max SL points = $7,500 / $120 = 62.5 points
📊 Key Variables for Logging
Parameter Value
Max Stop Loss $7,500
Position Size 30 Micro Contracts - ***Varies depending on account size***
Cooldown Bars 4 (20 min)
Max Daily Trades 3
Strategy Version V2 – $7.5K SL
