Profitable Pair Correlation Divergence Scanner v6This strategy identifies divergence opportunities between two correlated assets using a combination of Z-Score spread analysis, trend confirmation, RSI & MACD momentum checks, correlation filters, and ATR-based stop-loss/take-profit management. It’s optimized for positive P&L and realistic trade execution.
Key Features:
Pair Divergence Detection:
Measures deviation between returns of two assets and identifies overbought/oversold spread conditions using Z-Score.
Trend Alignment:
Trades only in the direction of the primary asset’s trend using a fast EMA vs slow EMA filter.
Momentum Confirmation:
Confirms trades with RSI and MACD to reduce false signals.
Correlation Filter:
Ensures the pair is strongly correlated before taking trades, avoiding noisy signals.
Risk Management:
Dynamic ATR-based stop-loss and take-profit ensures proper reward-to-risk ratio.
Exit Conditions:
Automatically closes positions when Z-Score normalizes, or ATR-based exits are hit.
How It Works:
Calculate Returns:
Computes returns for both assets over the selected timeframe.
Z-Score Spread:
Calculates the spread between returns and normalizes it using moving average and standard deviation.
Trend Filter:
Only takes long trades if the fast EMA is above the slow EMA, and short trades if the fast EMA is below the slow EMA.
Momentum Confirmation:
Confirms trade direction with RSI (>50 for longs, <50 for shorts) and MACD alignment.
Correlation Check:
Ensures the pair’s recent correlation is strong enough to validate divergence signals.
Trade Execution:
Opens positions when Z-Score crosses thresholds and all conditions align. Positions close when Z-Score normalizes or ATR-based SL/TP is hit.
Plot Explanation:
Z-Score: Blue line shows divergence magnitude.
Entry Levels: Red/Green lines mark long/short thresholds.
Exit Zone: Gray lines show normalization zone.
EMA Trend Lines: Purple (fast), Orange (slow) for trend alignment.
Correlation: Teal overlay shows current correlation strength.
Usage Tips:
Use highly correlated pairs for best results (e.g., EURUSD/GBPUSD).
Run on higher timeframe charts (1h or 4h) to reduce noise.
Adjust ATR multiplier based on volatility to avoid premature stops.
Combine with alerts for automated notifications or webhook execution.
Conclusion:
The Profitable Pair Correlation Divergence Scanner v6 is designed for traders who want systematic, low-risk, positive P&L trading opportunities with minimal manual monitoring. By combining trend alignment, momentum confirmation, correlation filters, and dynamic exits, it reduces false signals and improves execution reliability.
Run it on TradingView and watch how it captures divergence opportunities while maintaining positive P&L across trades.
Search in scripts for "alert"
Indian Scalper 2025 – PSAR + SMA50 + RSI≤50 + High Volume (75%)Best 1-min / 2-min scalping strategy for NIFTY, BANKNIFTY, FINNIFTY & liquid stocks in 2025
✓ PSAR flip + SMA-50 trend filter
✓ RSI ≤50 (avoids chasing)
✓ Only high-volume candles (bright colour)
✓ Loud mobile alerts with price & SL
✓ 1:2+ RR with PSAR trailing
Works like magic 9:15–11:30 AM and 2–3:20 PM
Made with love for the Indian trading community ♥
BS 1.1This is a simple price action break out strategy.. MT5 bot alerts enabled..
Lot of Filters like ATR/ADX/Volume/Break even etc are added in toggle..
Test with the filters which suits your style of trading..
Works in 5m TF for Gold and BTC with just 3 ATR - TG and TP- 3 ATR rest all the filters are off..
Profit Factor - 1.362
XRP Non-Stop Strategy (TP 25% / SL 15%)XRP Non-Stop Strategy (TP 25% / SL 15%) is a continuous long-side trading system designed specifically for XRP. The strategy uses an EMA-based trend filter (EMA20/EMA50) to confirm bullish conditions before entering a long position. Each trade applies a fixed +25% Take Profit target and a −15% Stop Loss, calculated dynamically from the entry price.
When a trade closes—whether by TP or SL—the strategy automatically re-enters on the next qualifying signal, enabling uninterrupted position cycling.
Features include:
• EMA-based trend confirmation
• Dynamic TP/SL visualization on the chart
• Clear BUY and EXIT markers
• Dedicated alert conditions for automation
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading.
The script includes:
Dynamic Take Profit & Stop Loss lines
Optional EMA trend filter
Visual BUY and EXIT markers
TradingView alerts for automation or notifications
This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics
Introduction
The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity.
The Core Engine: MA and VWAP Crossover
The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP.
1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session.
2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages.
3. The Signal:
o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment.
o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average.
The Role of CCI and Stochastic: Analyzing Volume Momentum
The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum.
1. The Calculation
Instead of using close prices as the input source, the script passes volume data into both indicator functions:
• Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average.
• Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range.
2. The "Volume Spike" Condition
The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously:
• The Volume CCI must be greater than a defined threshold (default: 100).
• The Volume Stochastic must be greater than a defined threshold (default: 80).
3. Integration into the Process
It is critical to note how this script currently applies this "Volume Spike" logic:
• Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar.
• Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter.
• Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise.
Risk Management and Time Constraints
The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan.
Conclusion
The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Mean Reversion — BB + Z-Score + RSI + EMA200 (TP at Opposite Z)This is a systematic mean-reversion framework for index futures and other liquid assets.
This strategy combines Bollinger Bands, Z-Score dislocation, RSI extremes, and a trend-filtering EMA200 to capture short-term mean-reversion inefficiencies in NQ1!. It is designed for high-volatility conditions and uses a precise exit model based on opposite-side Z-Score targets and dynamic mid-band failure detection.
🔍 Entry Logic (Mean Reversion) :
The strategy enters trades only when multiple confluence signals align:
Long Setup
Price at or below the lower Bollinger Band
Z-Score ≤ –Threshold (deep statistical deviation)
RSI ≤ oversold level
Price below the EMA-200 (countertrend mean-reversion only)
Cooldown must be completed
No open position
Short Setup
Price at or above the upper Bollinger Band
Z-Score ≥ Threshold
RSI ≥ overbought level
Price above the EMA-200
Cooldown complete
No open position
This multi-signal gate filters out weak reversions and focuses on mature dislocations.
🎯 Take-Profit Model: Opposite-Side Z-Score Target :
Once in a trade, take-profit is set by solving for the price where the Z-Score reaches the opposite side:
Long TP = Z = +Threshold
Short TP = Z = –Threshold
This creates a symmetric statistical exit based on reverting to equilibrium plus overshoot.
🛡️ Stop-Loss System (Volatility-Aware) :
Stop losses combine:
A fixed base stop (points)
A standard-deviation volatility component
This adapts the SL to regime changes and avoids being shaken out during rare volatility spikes.
⏳ Half-Life Exit :
If a trade has not reverted within a fixed number of bars, it automatically closes.
This prevents “mean-reversion traps” during trending periods.
📉 Advanced Mid-Band Exit Logic (BB Basis Failure) :
This is the unique feature of the system.
After entry:
Wait for price to cross the Bollinger Basis (middle band) in the direction of the mean.
Start a 5-bar delay timer.
After 5 bars, the strategy becomes “armed.”
Once armed:
If price fails back through the mean, exit immediately.
Intrabar exits trigger precisely (with tick-level precision if Bar Magnifier is enabled).
This protects profits and exits trades at the first sign of mean-failure.
⏱️ Cooldown System :
After each closed trade, a cooldown period prevents immediate re-entry.
This avoids clustering and improves statistical independence of trades.
🖥️ What This Strategy Is Best For :
High-volatility intraday NQ conditions
Statistical mean reversion with structured confluence
Traders who want clean, rule-based entries
Avoiding trend-day traps using EMA and half-life logic
📊 Included Visual Elements :
Bollinger Bands (Upper, Basis, Lower)
BUY/SELL markers at signal generation
Optional alerts for automated monitoring
🚀 Summary :
This is a precision mean-reversion system built around volatility bands, statistical dislocation, and price-behavior confirmation. By combining Z-Score, RSI, EMA200 filtering, and a sophisticated mid-band failure exit, this model captures high-probability reversions while avoiding the common pitfalls of naive band-touch systems.
ETH INFINITY TREND [1H]: The Institutional Anti-Crash AlgorithmSTOP TRADING AGAINST THE TREND. AUTOMATE YOUR SUCCESS.
Are you tired of strategies that make big gains one month and give it all back the next? Are you looking for an algorithm capable of beating the market while strictly protecting your capital during Crashes?
Discover ETH Infinity Trend , the H1 Swing Trading strategy designed for consistency, safety, and long-term performance.
This is not a nervous scalping bot eaten alive by fees. It is an intelligent Trend Following system, calibrated to capture major Ethereum directional moves while staying liquid (Cash) when the market becomes dangerous.
🏆 WHY IS THIS STRATEGY UNIQUE?
✅ "Bulletproof" History (2017-2025) Unlike the market, which suffered massive losses in 2018 (-80%) and 2022 (-65%), this algorithm successfully protected capital during EVERY major bearish phase.
✅ Bull Run Outperformance The algorithm doesn't just follow; it accelerates gains during parabolic phases (like 2021 and 2025) by staying in position as long as the bullish structure remains intact.
✅ Zero Stress / Zero Overtrading The strategy is patient. It filters out market "noise" to take only high-probability moves. No more stress from holding open positions during crashes.
⚙️ THE "SMART TREND" ENGINE (Proprietary Logic)
This script uses a combination of 3 algorithmic engines to secure your entries. Exact settings are protected to ensure a competitive advantage for members:
Adaptive Trend Engine: Detects flow direction with a wide safety factor to avoid "scam wicks" and stop hunts typical of crypto exchanges. Institutional Long-Term Filter: We only trade in the direction of big investment funds. If the Macro trend is bearish, the algorithm forces a Cash (USDT) position to preserve capital. Dynamic Momentum Filter: The algorithm stays inactive during flat markets (Ranging) to avoid grinding down capital with fees. It only enters if the movement has genuine impulsive strength.
📊 CERTIFIED PERFORMANCE (Historical Backtests)
The numbers speak for themselves. Here is how the strategy behaves under extreme market conditions:
🟢 Current Profitability (2025 YTD): +91% While the classic market (Buy & Hold) shows about +55%, the algorithm massively outperforms by avoiding intermediate corrections.
🛡️ Crash Resistance (2018 Bear Market): +29% This is the most important statistic. In 2018, Ethereum lost -82% of its value. Most traders were wiped out. This strategy not only protected capital but finished the year in profit.
💎 Zero Negative Years (2017-2025) Over a complete 8-year history, including two major market cycles, the strategy has never closed a year with a loss.
📉 RISK MANAGEMENT
Profit Factor: > 2.0 (For every $1 lost, the strategy earns more than $2). Controlled Drawdown: The strategy cuts losing positions quickly using a dynamic Trailing Stop, keeping equity drawdown far below that of the market. Fees Included: All results include transaction fees (Taker) and slippage estimates.
🤖 READY FOR AUTOMATION
This script is turnkey ready to be connected to bots via Webhooks (3Commas, Alertatron, or Custom Python Bot on Vultr/AWS).
No Repainting: Signals are fixed at candle close. What you see is what executes. Clear Signals: Buy (Long) and Exit alerts are fully configurable. Zero Leverage Needed: The strategy is designed to be profitable on Spot or 1x Futures.
🔒 ACCESS & INVITATION
This script is available via Invite Only to guarantee exclusivity and preserve signal quality.
👉 HOW TO GET ACCESS? Send me a private message here on TradingView to inquire about access conditions.
Disclaimer: Past performance is not indicative of future results. Cryptocurrency trading involves risk. Only invest what you can afford to lose.
黃金1KDual Indicator Collaborative Verification
Bollinger Stochastic System: Combines Bollinger Band breakouts with stochastic oscillator overbought/oversold conditions to accurately capture reversal opportunities
Dynamic Trend Channels: ATR-based adaptive channel system that tracks market trend strength and direction in real-time
Dual Signal Confirmation: Two independent systems working together to significantly improve signal reliability
⏰ Intelligent Time Management
Scheduled Closing Mechanism: Automatic position closing at fixed time daily (05:45 exchange time) to lock profits and avoid overnight risks
Exchange Time Zone Adaptation: Full support for GMT+8 time zone, precisely matching Asian trading sessions
Cross-day Logic Processing: Comprehensive trading day switching mechanism ensuring strategy continuity
🛡️ Rigorous Money Management
Fixed Percentage Stop Loss: 0.35% fixed stop loss per trade to strictly control single loss
Optimized Risk-Reward Ratio: 1:3.4 profit-to-loss ratio ensuring long-term positive expected returns
Automatic Position Sizing: 2% account equity-based position calculation for steady compound growth
📊 Advanced Visualization
Dynamic Channel Drawing: Real-time display of trend channel support/resistance and future price predictions
Long/Short Signal Marking: Clear entry markers with price labels for intuitive display
Real-time Alert System: Built-in trading signal notifications ensuring no missed opportunities
Technical Architecture
Indicator Fusion Logic
Trend Confirmation: FTC channels determine primary trend direction
Entry Timing: BBSR system provides precise entry points at channel boundaries
Signal Filtering: Dual conditions ensure entries only on high-quality signals
Titan EMA Liquidity [Stansbooth]
🔥 Precision EMA + FVG Liquidity Sweep System
Advanced Buy/Sell Signal Engine for High-Probability Trade Entries
Unlock a new level of precision with this all-in-one market structure indicator built for traders who demand accuracy, clarity, and confidence.
This tool combines EMA trend filtration , Fair Value Gap (FVG) detection , and liquidity sweep analysis to deliver powerful buy and sell signals that align with institutional price behavior.
✅ Key Features
Dynamic EMA Trend Filter:
Identifies true trend direction and filters out low-quality trades. Signals only trigger when momentum aligns with higher-timeframe directional bias.
Smart FVG Detection:
Automatically highlights bullish and bearish Fair Value Gaps, helping you spot premium/discount zones where institutional traders seek entries.
Liquidity Sweep Identification:
Detects equal highs/lows, stop hunts, and engineered liquidity grabs—then confirms reversals when price sweeps liquidity and returns inside structure.
High-Accuracy Signal Engine:
Buy/Sell alerts trigger only when three layers agree:
1. EMA trend alignment
2. FVG confirmation
3. Liquidity sweep completion
This results in cleaner signals , fewer false entries, and strong trend continuation setups.
Optimized for All Market Conditions:
Works for scalping, day trading, and swing trading across Forex, Crypto, Indices, and Stocks.
What This Indicator Helps You Achieve
Capture smart-money style entries with reduced drawdown
Enter after liquidity grabs instead of before them
Avoid chop with EMA-filtered market direction
Spot precision premium/discount zones using automatic FVG mapping
Obtain high-confidence Buy/Sell signals based on institutional concept
Why Traders Love It
This system isn’t just another signal generator—it’s a market-structure aware model that reads the chart the same way professional traders do.
Every signal is based on probability stacking , giving you the clarity and confidence to take the best setups while ignoring noise.
1M XAU Cumulative Delta Volume with OB Breakouts
### Overview
This is a **session-based CVD strategy** built around the **00:00–07:00 CEST range**. It finds the high/low of that session, turns them into **adaptive ATR-based support (yellow)** and **resistance (purple)** zones, and trades only **CVD-confirmed reversals** off those levels.
---
### How it Works
* For each day, the script:
* Builds a 00:00–07:00 CEST **profile high/low**.
* Creates a **support zone** around the session low and a **resistance zone** around the session high.
* Using lower timeframe data, it reconstructs **Cumulative Volume Delta (CVD)** and a **recent delta** filter.
* It arms “pending” states when price **enters a zone from the correct side**, then confirms:
* **BUY (long):** price reclaims above support and recent CVD is strongly positive.
* **SELL (short):** price rejects below resistance and recent CVD is strongly negative.
Only these two CVD signals (`buySignal` / `sellSignal`) open trades.
---
### Strategy Logic
* **Entries**
* `buySignal` → open **long** (if flat).
* `sellSignal` → open **short** (if flat).
* No pyramiding; one position at a time.
* **Exits (only TP & SL)**
* Long: TP at `avg_price * (0.5 + TP%)`, SL at `avg_price * (1 – SL%)`.
* Short: TP at `avg_price * (0.5 – TP%)`, SL at `avg_price * (1 + SL%)`.
* No opposite-signal exits.
---
### Extras
* **Reversal markers** on yellow/purple zones and **breakout/retest markers** are plotted for context and alerts but **do not trigger entries**.
* Zone width and “thickening” are ATR-based so important touches and near-touches are easy to see.
* Only suited for **1m intraday scalping** (e.g. XAU/USD), but can be tested on other markets/timeframes.
Inyerneck Sniper Engine v4.2 — FINAL WORKING 2025Aggressive momentum sniper for pennies. Fires on volume + EMA snaps. Use small size. Alerts ready.
盯盘-平均K线图This is a Pine Script v6 indicator/strategy designed to assist traders with clear, configurable trend and momentum signals. It combines adaptive filters and volatility-aware logic to highlight high‑quality entries and exits, includes optional multi‑timeframe confirmation, and supports risk controls such as stop loss/target levels. Signals are visualized directly on the chart with arrows/labels and can trigger TradingView alerts for real‑time notifications. The tool offers smoothing and sensitivity settings to tune responsiveness, overlay mode for price action, and strategy mode for backtesting performance. It’s built to be lightweight, transparent, and easy to adjust, helping traders streamline decision‑making while maintaining control over parameters and risk.
smart honey 2.0The smart honey 2.0 is a long-only trading strategy based on averaging entries.
At "Entry" you can set to enter a trade at a specified averaging level. The best backtest result at "only 4th averaging".
"Tp" is take profit.
"Sensitivity" controls the frequency of trades - lower sensitivity means fewer, but higher-quality trades.
Settings recommendations
For 1m-5m timeframes, use low sensitivity and take profit values. For higher timeframes, increase the take profit value.
For example, a profitable setting for many coins on a 5-minute timeframe is
Tp = 1.5%
Sensitivity = 2.7
Entry = only 4th averaging
The strategy features a "Blue line" showing liquidity clusters influenced by Sensitivity. Price often bounces off this line.
You can also set alerts for lists of coins, receiving notifications at each new candle about active positions
Kev's RSI2 SMA50 Strategy⭐ Kev’s RSI2 SMA50 Strategy — Institutional Edition (TSX Optimized + RR Filter)
A professional swing-trading system based on Larry Connors’ RSI(2) mean-reversion framework, optimized for TSX equities. Designed for Daily timeframe trading with institutional trend alignment, volatility filtering, and strict risk-reward controls.
📌 Overview
This strategy enhances the classic RSI(2) setup with:
• Strong trend confirmation (SMA50 + Weekly SMA50)
• Deep pullback detection (RSI2 < 3)
• Structural swing-based stop-loss
• Fixed 2R profit target (non-repainting)
• Optional Connors RSI (CRSI) confirmation
• Volatility filtering via ATR range
• Mechanical, deterministic, no-discretion rules
Works best on TSX large & mid-caps, ETFs, and liquid equities.
🔍 Core Philosophy
Buy strong stocks on pullbacks → Price must be above SMA50 + Weekly SMA50.
Pullback must be statistically meaningful → RSI(2) < 3.
R:R must justify the trade → Swing-low SL + 2R target with structural room to hit TP.
🧠 Entry Conditions (Non-Repainting)
• RSI(2) < 3 → Identifies extreme short-term oversold dips.
• SMA50 Filter → Ensures uptrend alignment.
• Weekly HTF Filter (Default = 1W) → Confirms broader trend direction.
• ATR Filter → Rejects volatile bars (range < ATR(14) × 2.2).
• Optional:
– SMA50 Slope (positive trend strength)
– Bullish Reversal Candle
– Connors RSI < 20 (deep pullback confirmation)
🎯 Risk Management
All levels are locked at entry and never repaint.
• Swing-Low SL (last 5 bars)
• 2R Profit Target = Entry + (Risk × 2)
• R:R Feasibility Filter → Only enters if recent swing high is above TP.
• Optional RSI Exit → Exit when RSI2 > 90 (enabled by default).
• Optional SMA Exit (disabled by default) → Conservative early exit.
📈 Visuals
The script plots:
• SMA50
• Weekly SMA50
• Swing-Low SL (fixed)
• 2R TP (fixed)
• Optional SMA exit line
All are non-repainting and update only on confirmed bars.
🔔 Alerts
Buy Signal → All entry filters aligned (RSI2, SMA50, HTF, ATR, RR check).
Exit Signal → 2R hit, SL hit, RSI exit, or SMA exit (if enabled).
🧭 Recommended Usage
• Timeframe: Daily
• HTF: Weekly (default)
• Best For: TSX equities, mid/large-cap stocks, ETFs
• Style: Short-term swing trading (1–10 bars)
• Avoid: Low-volume tickers, microcaps, crypto, biotech, news-driven spikes.
🛑 Notes
• All HTF data uses lookahead_off → non-repainting.
• Rules are fully mechanical and deterministic.
• Position sizing uses % equity by default.
• This script is for educational purposes only and not financial advice.
• Always forward-test before using live capital.
Jet Stream V1Jet Stream catches the trends. Forgets the noise and allows you to lock into those big moves.
Wed, Nov 19 2025 V3 - Everything but alerts work.
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
Freedom Candlestick v5.1.55 1 Alerts?Trend following futures scalping strategy. Highly complex and not beginner friendly.
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin.
It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions.
How the strategy works
EMA 5 crossing above EMA 9 → Long
EMA 5 crossing below EMA 9 → Short
Automatically closes the opposite trade during a flip
Executes trades only on candle close
Prevents double entries with internal position-state logic
Fully compatible with automated trading via webhooks (Delta Exchange)
Why this strategy works
EMA 5–9 is extremely responsive for BTC’s volatility
Captures trend reversals early
Works best on 15-minute timeframe
Clean, simple logic without over-filtering reduces missed opportunities
Performs well in both uptrends and downtrends
Automation Ready
This strategy includes alert conditions and webhook-ready JSON for automated execution.
This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
TSI.LTA | Base BTC 1DTSI.LTA | Base BTC 1D is a closed‑source trend‑following strategy designed for BTC on the 1D timeframe .
It focuses on participating in the main directional moves of the market while avoiding as much short‑term noise as possible.
📊 The script:
Uses a combination of moving‑average–based filters and volatility bands to define the active trend.
Applies optional volume filters to avoid low‑participation or exhausted moves.
Includes risk‑management controls (Stop Loss, Take Profit, Trailing Stop) that work on a per‑trade basis.
All entries and exits are confirmed at bar close and the script does not repaint .
This makes it suitable for backtesting, alerts and external automation.
█ 💡 CONCEPTS
This strategy is built around a few simple ideas:
1 — Trend first.
Positions are only taken when a group of smoothed trend filters agree on direction.
The goal is to ride larger swings, not to scalp each fluctuation.
2 — Volatility awareness.
Standard‑deviation–based bands help avoid entries in abnormal spikes or during very compressed ranges.
3 — Participation filter.
Optional volume‑based conditions (VWMA, OBV slope, MFI, volume Z‑score) try to ensure that entries occur when the market shows enough activity, not during dead phases.
4 — Risk defined in advance.
Stop‑loss and trailing‑stop inputs are expressed as percentages relative to entry price, so users can align them with their own risk tolerance.
The logic is purposely conservative: it is expected to stay flat during parts of the market where the trend is unclear or participation is weak.
█ ⚙️ FEATURES & INPUTS
This section follows approximately the order of the script’s inputs, so users can read here and then match what they see in the “Inputs” tab.
1 — 📐 Trend filters
These inputs control how the strategy detects the underlying trend:
DEMA / Gaussian / SMMA lengths
Control how fast or slow the trend reacts to price changes.
Shorter lengths → more responsive, more trades, more noise.
Longer lengths → slower reaction, fewer trades, more filtering.
Volatility Bands (SD length & multipliers)
Standard‑deviation bands around the smoothed price series.
They are used to avoid entries during extreme moves or very narrow ranges where a breakout is not yet confirmed.
In practice, these settings let the user choose between a more “aggressive” trend follower (shorter lengths, smaller bands) or a more “patient” one.
2 — 📊 Volume filters (optional)
These filters are meant to restrict trades to periods where the market shows meaningful participation:
VWMA filter
Requires price to be aligned with a Volume‑Weighted Moving Average, which de‑emphasizes moves on very low volume.
OBV slope filter
Uses the slope of On‑Balance Volume to check that net volume flow supports the direction of the trade.
MFI band filter
Uses the Money Flow Index to avoid taking new entries in zones that often correspond to exhaustion (extreme values defined by the user).
Volume Z‑Score
Compares current volume to its recent history. Trades can be restricted when volume is unusually low or out of character for that period.
When any of these filters are turned off, the strategy relies only on price‑based trend and volatility logic.
When they are on, trades are more selective and may be fewer.
3 — 🛡️ Risk management
These inputs define how individual trades are managed once entered.
They do not change the trend logic itself:
Stop Loss (%)
A percentage move against the entry price that will close the position.
Typical values on BTC 1D remain in the single‑digit range so that no single trade risks an unrealistic portion of equity.
Take Profit (%)
An optional fixed target that closes the trade when price has moved a chosen percentage in favor.
This can be disabled if the user prefers to let the trend filters perform the exit.
Trailing Stop (%)
A stop that follows the most favorable price reached since entry.
When the “use lower timeframe peak” option is enabled, peaks can be detected on a lower timeframe for more granular trailing, while decisions still occur at the close of the 1D bar.
Fixed SL/TP Price and Activation Date
Allow defining absolute price levels and a date from which they start applying.
This is useful when the user wants structural protection around known price zones.
The combination of these controls determines how deep a pullback the user is willing to tolerate and how much profit they are prepared to give back in order to stay in trends.
4 — 🚫 Filter failure & cooldown
To avoid over‑trading in difficult environments, the script can:
Automatically exit when filters remain unfavorable for a configurable number of bars.
Enter a cooldown period, during which no new trades are taken, even if some conditions improve.
These mechanisms are intended to protect capital during choppy or low‑quality phases rather than force constant exposure.
█ 📚 HOW TO USE
A suggested process for using this strategy as a study tool:
1 — Start on BTC 1D.
Apply the script to BTCUSD or BTC/USDT on the 1D timeframe, with default inputs.
2 — Open the Strategy Tester.
Choose a time window (for example a full halving cycle, a crash + recovery period, or just the most recent bull leg).
3 — Compare with Buy & Hold.
For the same window, look at:
Net profit of the strategy vs Buy & Hold.
Max drawdown of the strategy vs Buy & Hold.
The goal is not to hit a particular number, but to see whether, in that window, the strategy manages to:
Provide a smoother equity curve (lower drawdown),
While still performing at least as well as, or better than, simply holding the asset.
4 — Experiment with risk inputs.
Vary Stop Loss, Trailing Stop and the volume filters.
After each change, re‑check the same two questions above. This should make clear how each input affects the trade‑off between participation and risk.
5 — Forward‑test.
Before using any configuration with real capital, let it run for a while in paper‑trading or demo conditions.
█ 🚧 LIMITATIONS
The strategy is built and tuned primarily for BTC on 1D.
It can be used on other symbols and timeframes, but behavior may differ and requires new testing.
In very tight ranges or during event‑driven gaps, trend logic may enter later than discretionary trading would. This is expected for a conservative trend‑following approach.
Results from historical backtests depend on data quality, broker settings, fees and slippage configured in the Strategy Tester.
█ 📝 NOTES
Signals are generated on bar close.
The script is closed‑source, but the description explains the main ideas so users and moderators can understand what it does and how to use it.
The HUD on the chart is meant as a compact summary of the same statistics available in the Strategy Tester; it simply makes comparisons quicker.
█ ⚠️ DISCLAIMER
This strategy is provided for educational and research purposes only .
It is not financial advice and does not recommend any specific trades, assets, position sizes, or risk levels.
Users are fully responsible for:
Choosing their own risk parameters (Stop Loss, Take Profit, Trailing Stop, position sizing, etc.).
Testing the script on the markets and timeframes they intend to trade.
Verifying that any configuration is appropriate for their capital, risk tolerance and jurisdiction.
Past performance in backtests or examples does not guarantee future results.
Always test carefully before considering any live deployment.
RubberBand Scalp NQ Strategy (V6 - High PF Focus)
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RUBBERBAND SCALP NQ (V6 - HIGH PF FOCUS)
================================================================================
// 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.
================================================================================
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.
