USDJPY Fair Value Gap + Session Strategy🎯 Overview
This strategy combines Fair Value Gaps (FVGs) with session-based order flow analysis, specifically optimized for USDJPY. It identifies price inefficiencies left behind by institutional order flow during high-volatility trading sessions, offering a modern alternative to traditional lagging indicators.
🔬 What Are Fair Value Gaps?
Fair Value Gaps represent areas where aggressive institutional buying or selling created "gaps" in the market structure:
Bullish FVG: Price moves up so aggressively that it leaves unfilled buy orders behind
Bearish FVG: Price moves down so quickly that it leaves unfilled sell orders behind
Research shows approximately 80% of FVGs get "filled" (price returns to the gap) within 20-60 bars, making them highly predictable trading zones.
(see the generated image above)
(see the generated image above)
FVG Detection Logic:
text
// Bullish FVG: Gap between high and current low
bullishFVG = low > high and high > high
// Bearish FVG: Gap between low and current high
bearishFVG = high < low and low < low
🌏 Session-Based Trading
Why Sessions Matter for USDJPY
(see the generated image above)
Tokyo Session (00:00-09:00 UTC)
Highest volatility during first hour (00:00-01:00 UTC)
Average movement: 51-60 pips
Best for breakout strategies
London/NY Overlap (13:00-16:00 UTC)
Maximum liquidity and institutional participation
Tightest spreads and most reliable FVG formations
Optimal for continuation trades
Monday Premium Effect
USDJPY moves 120+ pips on Mondays due to weekend positioning
Enhanced FVG formation during session opens
📊 Strategy Components
(see the generated image above)
1. Fair Value Gap Detection
Identifies bullish and bearish FVGs automatically
Age limit: FVGs expire after 20 bars to avoid stale setups
Size filter: Minimum gap size to filter out noise
2. Session Filtering
Tokyo Open focus: Trades during first hour of Asian session
London/NY Overlap: Captures high-liquidity institutional flows
Weekend gap strategy: Enhanced signals on Monday opens
3. Volume Confirmation
Requires 1.5x average volume spike
Confirms institutional participation
Reduces false signals
4. Trend Alignment
50 EMA filter ensures trades align with higher timeframe trend
Long trades above EMA, short trades below
Prevents costly counter-trend trades
5. Risk Management
2:1 Risk/Reward minimum ensures profitability with 40%+ win rate
Percentage-based stops adapt to USDJPY volatility (0.3% default)
Configurable position sizing
🎯 Entry Conditions
(see the generated image above)
Long Entry (BUY)
✅ Bullish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price above 50 EMA (trend confirmation)
✅ Bullish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
Short Entry (SELL)
✅ Bearish FVG detected in previous bars
✅ Price returns to FVG zone during active trading session
✅ Volume spike above 1.5x average
✅ Price below 50 EMA (trend confirmation)
✅ Bearish candle closes within FVG zone
✅ Trading during Tokyo open OR London/NY overlap
📈 Expected Performance
Backtesting Results (Based on Similar Strategies):
Win Rate: 44-59% (profitable due to high R:R ratio)
Average Winner: 60-90 pips during London/NY sessions
Average Loser: 30-40 pips (tight stops at FVG boundaries)
Risk/Reward: 2:1 minimum, often 3:1 during strong trends
Best Performance: Monday Tokyo opens and Wednesday London/NY overlaps
Why This Works for USDJPY:
90% correlation with US-Japan bond yield spreads
High volatility provides sufficient pip movement
Heavy institutional/central bank participation creates clear FVGs
Consistent volatility patterns across trading sessions
⚙️ Configurable Parameters
Session Settings:
Trade Tokyo Session (Enable/Disable)
Trade London/NY Overlap (Enable/Disable)
FVG Settings:
FVG Minimum Size (Filter small gaps)
Maximum FVG Age (20 bars default)
Show FVG Markers (Visual display)
Volume Settings:
Use Volume Filter (Enable/Disable)
Volume Multiplier (1.5x default)
Volume Average Period (20 bars)
Trend Settings:
Use Trend Filter (Enable/Disable)
Trend EMA Period (50 default)
Risk Management:
Risk/Reward Ratio (2.0 default)
Stop Loss Percentage (0.3% default)
🎨 Visual Indicators
🟡 Yellow Line: 50 EMA trend filter
🟢 Green Triangles: Long entry signals
🔴 Red Triangles: Short entry signals
🟢 Green Dots: Bullish FVG zones
🔴 Red Dots: Bearish FVG zones
🟦 Blue Background: Tokyo open session
🟧 Orange Background: London/NY overlap
📊 Recommended Settings
Optimal Timeframes:
Primary: 5-minute charts (scalping)
Secondary: 15-minute charts (swing trading)
Parameter Optimization:
Conservative: Stop Loss 0.2%, R:R 2:1, Volume 2.0x
Balanced: Stop Loss 0.3%, R:R 2:1, Volume 1.5x (default)
Aggressive: Stop Loss 0.4%, R:R 1.5:1, Volume 1.2x
Risk Management:
Maximum 1-2% of account per trade
Daily loss limit: Stop after 3-5 consecutive losses
Use fixed percentage position sizing
⚠️ Important Considerations
Avoid Trading During:
Major news events (BOJ interventions, NFP, FOMC)
Holiday periods with reduced liquidity
Low volatility Asian afternoon sessions
When US-Japan yield differential narrows sharply
Best Practices:
Limit to 2-3 trades per session maximum
Always respect the 50 EMA trend filter
Never risk more than planned per trade
Paper trade for 2-4 weeks before live implementation
Track performance by session and day of week
🚀 How to Use
Add the script to your USDJPY chart
Set timeframe to 5-minute or 15-minute
Adjust parameters based on your risk tolerance
Enable strategy alerts for automated notifications
Wait for visual signals (triangles) to appear
Enter trades according to your risk management rules
📚 Strategy Foundation
This strategy is based on:
Smart Money Concepts (SMC): Institutional order flow tracking
Market Microstructure: Understanding how FVGs form in electronic trading
Quantified Risk Management: Statistical edge through proper R:R ratios
Session Liquidity Patterns: Exploiting predictable volatility cycles
Buscar en scripts para "ema"
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy
Description:
This strategy is designed for precision trading in both Forex (FX) and Crypto markets.
It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management.
ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach.
Optimal Use
Works best on lower timeframes (5m–15m) with strong liquidity sessions.
Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT.
Built for trend-following setups and momentum reversals with high volatility confirmation.
Recommended Settings
🔹 Forex – 5m
EMA Fast = 34, EMA Slow = 200, HTF = 1H
RSI (14): Long ≥ 55 / Short ≤ 45
MACD (8 / 21 / 5), ADX Len 10 / Min 27
ATR Len 7, Stop Loss = ATR × 2.1
TP1 = 1.1 RR, TP2 = 2.3 RR
Session = 07:00–11:00 & 12:30–16:00 (Exchange Time)
Risk = 0.8% per trade
🔹 Forex – 15m
EMA Fast = 50, EMA Slow = 200, HTF = 4H
RSI (14): Long ≥ 53 / Short ≤ 47
MACD (12 / 26 / 9), ADX Min 24
ATR Len 10, SL = ATR × 1.9
TP1 = 1.2 RR, TP2 = 2.6 RR
Risk = 1.0% per trade
🔹 Crypto – 5m (BTC/USDT)
EMA Fast = 34, EMA Slow = 200, HTF = 4H
RSI (14): Long ≥ 56 / Short ≤ 44
MACD (8 / 21 / 5), ADX Min 30
ATR Len 7, SL = ATR × 2.2
TP1 = 1.0 RR, TP2 = 2.5 RR
Session = 00:00–06:00 & 12:00–22:00 (UTC)
Risk = 0.5% per trade
Core Features
✅ Auto breakeven after TP1
✅ Dual take-profit system (1:1 & 1:2 RR)
✅ ATR-based stop & trailing logic
✅ Filters for session time, volume, and volatility
✅ Candle-body vs ATR size filter to avoid noise
✅ Optional cooldown between trades
Important Notes
Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes.
Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results.
Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto).
Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures).
Best results occur during London & New York sessions with moderate volatility.
⚠️ Disclaimer
This script is for educational and research purposes only.
It does not constitute financial advice.
Use proper risk management and test thoroughly before using on live accounts.
Developed by KING FX Labs
Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management.
Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown.
📈 “Precision Trading. Zero Emotion. Pure Momentum.”
Natural Gas Intraday Strategy [15m] with Partial Profit & TrailBuy when:
1. Close > EMA 100 and EMA 20 > EMA 100
2. MACD (8,21,5) > Signal and histogram rising
3. RSI > 60
4. ATR > threshold (avoid flat market)
Sell when:
1. Close < EMA 100 and EMA 20 < EMA 100
2. MACD (8,21,5) < Signal and histogram falling
3. RSI < 40
4. ATR > threshold
Exit:
• SL = recent swing ± 0.5 ATR
• TP1 = 1 ATR, trail rest with EMA 20
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools.
Recommended Input Parameters
These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading.
Fast EMA Length (emaFastLen): 9
Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe.
Slow EMA Length (emaSlowLen): 21
Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction.
RSI Length (rsiLen): 14
Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes.
RSI Overbought (rsiOverbought): 75
Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets.
RSI Oversold (rsiOversold): 25
Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals.
MACD Fast Length (macdFast): 12
Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals.
MACD Slow Length (macdSlow): 26
Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much.
MACD Signal Smoothing (macdSignal): 9
Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart.
Bollinger Bands Length (bbLen): 20
Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets.
Bollinger Bands Multiplier (bbMult): 2.0
Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets.
Stop Loss % (slPerc): 0.8%
Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable.
Take Profit % (tpPerc): 1.5%
Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits.
Use Candlestick Patterns (useCandlePatterns): True
Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets.
Use Volume Filter (useVolumeFilter): True
Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets.
Signal Arrow Size (signalSize): 2.0
Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action.
Background Highlight Transparency (bgTransparency): 85
Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter.
How to Apply These Parameters
Copy the Script: Use the Pine Script provided in the previous response.
Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart."
Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields.
Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart.
Fine-Tuning for Optimal Performance
To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features:
Backtesting:
Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance).
Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester.
Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways).
Parameter Optimization:
In the Strategy Tester, click the settings gear next to the strategy name.
Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0).
Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data.
Market-Specific Adjustments:
Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings.
Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better.
Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends.
Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise.
Forward Testing:
After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions.
Important Notes
No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices.
Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance.
Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare.
Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds.
If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic
1. Indicators
Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below.
Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend.
Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA.
EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend).
2. Entry and Exit Conditions
Long (Buy) Entry: A long position is entered if all of the following conditions are met:
EWO crosses its signal line upwards.
PSAR is below the price.
Volume has increased significantly.
The EMA 200 is rising.
The current candle is a bullish candle (close > open).
Short (Sell) Entry: A short position is entered if all of the following conditions are met:
EWO crosses its signal line downwards.
PSAR is above the price.
Volume has decreased significantly.
The EMA 200 is falling.
The current candle is a bearish candle (close < open).
Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk.
In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
1EMA + 1MACD + 1RSI Crypto Strategy AB 092Title: EMA + MACD + RSI Crypto Strategy
Overview:
This is a trend-following and momentum-based crypto trading strategy built for 1H, 4H, and 1D timeframes, combining three proven indicators:
EMA 50 & EMA 200 Crossover – identifies long-term trend direction.
MACD Crossover (12, 26, 9) – confirms momentum shift.
RSI Filter (14) – avoids overbought/oversold traps and refines entries.
Buy Entry Conditions:
EMA 50 > EMA 200 (Golden Cross)
MACD line crosses above signal line
RSI is between 45 and 70
Sell Entry Conditions:
EMA 50 < EMA 200 (Death Cross)
MACD line crosses below signal line
RSI is between 30 and 55
Risk Management:
Configurable Take Profit and Stop Loss percentages via inputs.
Default: 3% TP, 1.5% SL (adjustable based on timeframe and asset volatility).
Best For:
Intraday trades on 1H (BTC, ETH, SOL)
Swing trades on 4H
Position entries on 1D (top 50 altcoins)
This script includes visual Buy/Sell signals, alert conditions, and customizable SL/TP logic — making it a clean, actionable, and reliable strategy for crypto traders.
Delta Momentum ShiftThe "Delta Momentum Shift" strategy combines Bollinger Band breakouts with trend alignment and higher timeframe filtering to capture momentum moves.
#Entry Signals:
Long: Price crosses above upper Bollinger Band, Micro EMA above Macro EMA, and higher timeframe uptrend.
Short: Price crosses below lower Bollinger Band, Micro EMA below Macro EMA, and higher timeframe downtrend.
#Exit Logic:
Trailing Stop: Dynamic stop based on entry price percentage.
Opposite Band Cross: Close position if price crosses the opposite band.
Time Exit: Close trades after a specified number of bars.
#Indicators:
Bollinger Bands (SMA basis, standard deviation bands).
Dual EMA trend filter (Macro and Micro EMAs).
Higher timeframe SMA for trend confirmation.
#Parameter Optimization:
The strategy effectively leverages momentum and multi-timeframe trends but requires careful parameter tuning.
1. Test different combinations of bbPeriod, bbStretch, and EMA lengths across various assets to find optimal settings
2. Adjusting the trailing stop value.
The default settings work well for both BTCUSDT and ETHUSDT.
I recommend using it on a 1 hour timeframe with higher timeframe settings: daily.
G-Bot v3Overview:
G-Bot is an invite-only Pine Script tailored for traders seeking a precise, automated breakout strategy. This closed-source script integrates with 3Commas via API to execute trades seamlessly, combining classic indicators with proprietary logic to identify high-probability breakouts. G-Bot stands out by filtering market noise through a unique confluence of signals, offering adaptive risk management, and employing advanced alert deduplication to ensure reliable automation. Its purpose-built design delivers actionable signals for traders prioritizing consistency and efficiency in trending markets.
What It Does and How It Works:
G-Bot generates trade signals by evaluating four key market dimensions—trend, price action, momentum, and volume—on each 60-minute bar. The script’s core components and their roles are:
Trend Detection (EMAs): Confirms trend direction by checking if the 5-period EMA is above (bullish) or below (bearish) the 6-period EMA, with the price positioned accordingly (above the 5-period EMA for longs, below for shorts). The tight EMA pairing is optimized for the 60-minute timeframe to capture sustained trends while minimizing lag.
Price Action Trigger (Swing Highs/Lows): Identifies breakouts when the price crosses above the previous swing high (for longs) or below the previous swing low (for shorts), using a period lookback to focus on recent price pivots. This ensures entries align with significant market moves.
Momentum Filter (RSI): Validates breakouts by requiring RSI to fall within moderated ranges. These ranges avoid overbought/oversold extremes, prioritizing entries with balanced momentum to enhance trade reliability.
Volume Confirmation (3-period SMA): Requires volume to exceed its 3-period SMA, confirming that breakouts are driven by strong market participation, reducing the risk of false moves.
Risk Management (14-period ATR): Calculates stop-loss distances (ATR) and trailing stops (ATR and ATR-point offset) to align trades with current volatility, protecting capital and locking in profits.
These components work together to create a disciplined system: the EMAs establish trend context, swing breaks confirm price momentum, RSI filters for optimal entry timing, and volume ensures market conviction. This confluence minimizes false signals, a critical advantage for hourly breakout trading.
Why It’s Original and Valuable:
G-Bot’s value lies in its meticulous integration of standard indicators into a non-standard, automation-focused system. Its unique features include:
Curated Signal Confluence: Unlike generic breakout scripts that rely on single-indicator triggers (e.g., EMA crossovers), G-Bot requires simultaneous alignment of trend, price action, momentum, and volume. This multi-layered approach, reduces noise and prioritizes high-conviction setups, addressing a common flaw in simpler strategies.
Proprietary Alert Deduplication: G-Bot employs a custom mechanism to prevent redundant alerts, using a 1-second minimum gap and bar-index tracking. This ensures signals are actionable and compatible with 3Commas’ high-frequency automation, a feature not found in typical Pine Scripts.
Adaptive Position Sizing: The script calculates trade sizes based on user inputs (1-5% equity risk, max USD cap, equity threshold) and ATR-derived stop distances, ensuring positions reflect both account size and market conditions. This dynamic approach enhances risk control beyond static sizing methods.
3Commas API Optimization: G-Bot generates JSON-formatted alerts with precise position sizing and exit instructions, enabling seamless integration with 3Commas bots. This level of automation, paired with detailed Telegram alerts for monitoring, streamlines the trading process.
Visual Clarity: On-chart visuals—green triangles for long entries, red triangles for shorts, orange/teal lines for swing levels, yellow circles for price crosses—provide immediate insight into signal triggers, allowing traders to validate setups without accessing the code.
G-Bot is not a repackaging of public code but a specialized tool that transforms familiar indicators into a robust, automated breakout system. Its originality lies in the synergy of its components, proprietary alert handling, and trader-centric automation, justifying its invite-only status.
How to Use:
Setup: Apply G-Bot to BITGET’s BTCUSDT.P chart on a 60-minute timeframe.
3Commas Configuration: Enter your 3Commas API Secret Key and Bot UUID in the script’s input settings to enable webhook integration.
Risk Parameters: Adjust Risk % (1-5%), Max Risk ($), and Equity Threshold ($) to align position sizing with your account and risk tolerance.
Webhook Setup: Configure 3Commas to receive JSON alerts for automated trade execution. Optionally, connect Telegram for detailed signal notifications.
Monitoring: Use on-chart visuals to track signals:
Green triangles (below bars) mark long entries; red triangles (above bars) mark shorts.
Orange lines show swing highs; teal lines show swing lows.
Yellow circles indicate price crosses; purple crosses highlight volume confirmation.
Testing: Backtest G-Bot in a demo environment to validate performance and ensure compatibility with your trading strategy.
Setup Notes : G-Bot is a single, self-contained script for BTCUSDT.P on 60-minute charts, with all features accessible via user inputs. No additional scripts or passwords are required, ensuring compliance with TradingView’s single-publication rule.
Disclaimer: Trading involves significant risks, and past performance is not indicative of future results. Thoroughly test G-Bot in a demo environment before deploying it in live markets.
Full setup support will be provided
Uptrick X PineIndicators: Z-Score Flow StrategyThis strategy is based on the Z-Score Flow Indicator developed by Uptrick. Full credit for the original concept and logic goes to Uptrick.
The Z-Score Flow Strategy combines statistical mean-reversion logic with trend filtering, RSI confirmation, and multi-mode trade execution, offering a flexible and structured approach to trading both reversals and trend continuations.
Core Concepts Behind Z-Score Flow
1. Z-Score Mean Reversion Logic
The Z-score measures how far current price deviates from its statistical mean, in standard deviations.
A high positive Z-score (e.g. > 2) suggests price is overbought and may revert downward.
A low negative Z-score (e.g. < -2) suggests price is oversold and may revert upward.
The strategy uses Z-score thresholds to trigger signals when price deviates far enough from its mean.
2. Trend Filtering with EMA
To prevent counter-trend entries, the strategy includes a trend filter based on a 50-period EMA:
Only allows long entries if price is below EMA (mean-reversion in downtrends).
Only allows short entries if price is above EMA (mean-reversion in uptrends).
3. RSI Confirmation and Lockout System
An RSI smoothing mechanism helps confirm signals and avoid whipsaws:
RSI must be below 30 and rising to allow buys.
RSI must be above 70 and falling to allow sells.
Once a signal occurs, it is "locked out" until RSI re-enters the neutral zone (30–70).
This avoids multiple signals in overextended zones and reduces overtrading.
Entry Signal Logic
A buy or sell is triggered when:
Z-score crosses below (buy) or above (sell) the threshold.
RSI smoothed condition is met (oversold and rising / overbought and falling).
The trend condition (EMA filter) aligns.
A cooldown period has passed since the last opposite trade.
This layered approach helps ensure signal quality and timing precision.
Trade Modes
The strategy includes three distinct trade modes to adapt to various market behaviors:
1. Standard Mode
Trades are opened using the Z-score + RSI + trend filter logic.
Each signal must pass all layered conditions.
2. Zero Cross Mode
Trades are based on the Z-score crossing zero.
This mode is useful in trend continuation setups, rather than mean reversion.
3. Trend Reversal Mode
Trades occur when the mean slope direction changes, i.e., basis line changes color.
Helps capture early trend shifts with less lag.
Each mode can be customized for long-only, short-only, or long & short execution.
Visual Components
1. Z-Score Mean Line
The basis (mean) line is colored based on slope direction.
Green = bullish slope, Purple = bearish slope, Gray = flat.
A wide shadow band underneath reflects current trend momentum.
2. Gradient Fill to Price
A gradient zone between price and the mean reflects:
Price above mean = bearish zone with purple overlay.
Price below mean = bullish zone with teal overlay.
This visual aid quickly reveals market positioning relative to equilibrium.
3. Signal Markers
"𝓤𝓹" labels appear for buy signals.
"𝓓𝓸𝔀𝓷" labels appear for sell signals.
These are colored and positioned according to trend context.
Customization Options
Z-Score Period & Thresholds: Define sensitivity to price deviations.
EMA Trend Filter Length: Filter entries with long-term bias.
RSI & Smoothing Periods: Fine-tune RSI confirmation conditions.
Cooldown Period: Prevent signal spam and enforce timing gaps.
Slope Index: Adjust how far back to compare mean slope.
Visual Settings: Toggle mean lines, gradients, and more.
Use Cases & Strategy Strengths
1. Mean-Reversion Trading
Ideal for catching pullbacks in trending markets or fading overextended price moves.
2. Trend Continuation or Reversal
With multiple trade modes, traders can choose between fading price extremes or trading slope momentum.
3. Signal Clarity and Risk Control
The combination of Z-score, RSI, EMA trend, and cooldown logic provides high-confidence signals with built-in filters.
Conclusion
The Z-Score Flow Strategy by Uptrick X PineIndicators is a versatile and structured trading system that:
Fuses statistical deviation (Z-score) with technical filters.
Provides both mean-reversion and trend-based entry logic.
Uses visual overlays and signal labels for clarity.
Prevents noise-driven trades via cooldown and lockout systems.
This strategy is well-suited for traders seeking a data-driven, multi-condition entry framework that can adapt to various market types.
Full credit for the original concept and indicator goes to Uptrick.
ATM Option Selling StrategyATM Option Selling Strategy – Explained
This strategy is designed for intraday option selling based on the 9/15 EMA crossover, 50/80 MA trend filter, and RSI 50 level. It ensures that all trades are exited before market close (3:24 PM IST).
. Indicators Used:
9 EMA & 15 EMA → For short-term trend identification.
50 MA & 80 MA → To determine the overall trend.
RSI (14) → To confirm momentum (above or below 50 level).
2. Entry Conditions:
🔴 Sell ATM Call (CE) when:
Price is below 50 & 80 MA (Bearish trend).
9 EMA crosses below 15 EMA (Short-term trend turns bearish).
RSI is below 50 (Momentum confirms weakness).
🟢 Sell ATM Put (PE) when:
Price is above 50 & 80 MA (Bullish trend).
9 EMA crosses above 15 EMA (Short-term trend turns bullish).
RSI is above 50 (Momentum confirms strength).
3. Position Sizing & Risk Management:
Sell 375 quantity per trade (Lot size).
50-Point Stop Loss → If option premium moves against us by 50 points, exit.
50-Point Take Profit → If option premium moves in our favor by 50 points, book profit.
Exit all trades at 3:24 PM IST → No overnight positions.
4. Exit Conditions:
✅ Stop Loss or Take Profit Hits → Automatically exits based on a 50-point move.
✅ Time-Based Exit at 3:24 PM → Ensures no open positions at market close.
Why This Works?
✔ Trend Confirmation → 50/80 MA ensures we only sell options in the direction of the market trend.
✔ Momentum Confirmation → RSI prevents entering weak trades.
✔ Controlled Risk → SL and TP protect against large losses.
✔ No Overnight Risk → All trades close before market close.
CBC Strategy with Trend Confirmation & Separate Stop LossCBC Flip Strategy with Trend Confirmation and ATR-Based Targets
This strategy is based on the CBC Flip concept taught by MapleStax and inspired by the original CBC Flip indicator by AsiaRoo. It focuses on identifying potential reversals or trend continuation points using a combination of candlestick patterns (CBC Flips), trend filters, and a time-based entry window. This approach helps traders avoid false signals and increase trade accuracy.
What is a CBC Flip?
The CBC Flip is a candlestick-based pattern that identifies moments when the market is likely to change direction or strengthen its trend. It checks for a shift in price behavior between consecutive candles, signaling a bullish (upward) or bearish (downward) move.
However, not all flips are created equal! This strategy differentiates between Strong Flips and All Flips, allowing traders to choose between a more conservative or aggressive approach.
Strong Flips vs. All Flips
Strong Flips
A Strong Flip is a high-probability setup that occurs only after liquidity is swept from the previous candle’s high or low.
What is a liquidity sweep? This happens when the price briefly moves beyond the high or low of the previous candle, triggering stop-losses and trapping traders in the wrong direction. These sweeps often create fuel for the next move, making them powerful reversal signals.
Examples:
Long Setup: The price dips below the previous candle’s low (sweeping liquidity) and then closes higher, signaling a potential bullish move.
Short Setup: The price moves above the previous candle’s high and then closes lower, signaling a potential bearish move.
Why Use Strong Flips?
They provide fewer signals, but the accuracy is generally higher.
Ideal for trending markets where liquidity sweeps often mark key turning points.
All Flips
All Flips are less selective, offering both Strong Flips and additional signals without requiring a liquidity sweep.
This approach gives traders more frequent opportunities but comes with a higher risk of false signals, especially in sideways markets.
Examples:
Long Setup: A CBC flip occurs without sweeping the previous low, but the trend direction is confirmed (slow EMA is still above VWAP).
Short Setup: A CBC flip occurs without sweeping the previous high, but the trend is still bearish (slow EMA below VWAP).
Why Use All Flips?
Provides more frequent entries for active or aggressive traders.
Works well in trending markets but requires caution during consolidation periods.
How This Strategy Works
The strategy combines CBC Flips with multiple filters to ensure better trade quality:
Trend Confirmation: The slow EMA (20-period) must be positioned relative to the VWAP to confirm the overall trend direction.
Long Trades: Slow EMA must be above VWAP (upward trend).
Short Trades: Slow EMA must be below VWAP (downward trend).
Time-Based Filter: Traders can specify trading hours to limit entries to a particular time window, helping avoid low-volume or high-volatility periods.
Profit Target and Stop-Loss:
Profit Target: Defined as a multiple of the 14-period ATR (Average True Range). For example, if the ATR is 10 points and the profit target multiplier is set to 1.5, the strategy aims for a 15-point profit.
Stop-Loss: Uses a dynamic, candle-based stop-loss:
Long Trades: The trade closes if the market closes below the low of two candles ago.
Short Trades: The trade closes if the market closes above the high of two candles ago.
This approach adapts to recent price behavior and protects against unexpected reversals.
Customizable Settings
Strong Flips vs. All Flips: Choose between a more selective or aggressive entry style.
Profit Target Multiplier: Adjust the ATR multiplier to control the distance for profit targets.
Entry Time Range: Define specific trading hours for the strategy.
Indicators and Visuals
Fast EMA (10-Period) – Black Line
Slow EMA (20-Period) – Red Line
VWAP (Volume-Weighted Average Price) – Orange Line
Visual Labels:
▵ (Triangle Up) – Marks long entries (buy signals).
▿ (Triangle Down) – Marks short entries (sell signals).
Credits
CBC Flip Concept: Inspired by MapleStax, who teaches this concept.
Original Indicator: Developed by AsiaRoo, this strategy builds on the CBC Flip framework with additional features for improved trade management.
Risks and Disclaimer
This strategy is for educational purposes only and does not constitute financial advice.
Trading involves significant risk and may result in the loss of capital. Past performance does not guarantee future results. Use this strategy in a simulated environment before applying it to live trading.
3-Bar Low Strategy█ STRATEGY DESCRIPTION
The "3-Bar Low Strategy" is a mean-reversion strategy designed to identify potential buying opportunities when the price drops below the lowest low of the previous three bars. It enters a long position when specific conditions are met and exits when the price exceeds the highest high of the previous seven bars. This strategy is suitable for use on various timeframes.
█ WHAT IS THE 3-BAR LOW?
The 3-Bar Low is the lowest price observed over the last three bars. This level is used as a reference to identify potential oversold conditions and reversal points.
█ WHAT IS THE 7-BAR HIGH?
The 7-Bar High is the highest price observed over the last seven bars. This level is used as a reference to identify potential overbought conditions and exit points.
█ SIGNAL GENERATION
1. LONG ENTRY
A Buy Signal is triggered when:
The close price is below the lowest low of the previous three bars (`close < _lowest `).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
If the EMA Filter is enabled, the close price must also be above the 200-period Exponential Moving Average (EMA).
2. EXIT CONDITION
A Sell Signal is generated when the current closing price exceeds the highest high of the previous seven bars (`close > _highest `). This indicates that the price has shown strength, potentially confirming the reversal and prompting the strategy to exit the position.
█ ADDITIONAL SETTINGS
MA Period: The lookback period for the 200-period EMA used in the EMA Filter. Default is 200.
Use EMA Filter: Enables or disables the EMA Filter for long entries. Default is disabled.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for mean-reverting markets and performs best when the price frequently oscillates around key support and resistance levels.
It is sensitive to oversold conditions, as indicated by the 3-Bar Low, and overbought conditions, as indicated by the 7-Bar High.
Backtesting results should be analyzed to optimize the MA Period and EMA Filter settings for specific instruments.
XAU/USD Strategy with Correct ADX and Bollinger Bands Fill1. *Indicators Used*:
- *Exponential Moving Averages (EMAs)*: Two EMAs (20-period and 50-period) are used to identify the trend direction and potential entry points based on crossovers.
- *Relative Strength Index (RSI)*: A momentum oscillator that measures the speed and change of price movements. It identifies overbought and oversold conditions.
- *Bollinger Bands*: These consist of a middle line (simple moving average) and two outer bands (standard deviations away from the middle). They help to identify price volatility and potential reversal points.
- *Average Directional Index (ADX)*: This indicator quantifies trend strength. It's derived from the Directional Movement Index (DMI) and helps confirm the presence of a strong trend.
- *Average True Range (ATR)*: Used to calculate position size based on volatility, ensuring that trades align with the trader's risk tolerance.
2. *Entry Conditions*:
- *Long Entry*:
- The 20 EMA crosses above the 50 EMA (indicating a potential bullish trend).
- The RSI is below the oversold level (30), suggesting the asset may be undervalued.
- The price is below the lower Bollinger Band, indicating potential price reversal.
- The ADX is above a specified threshold (25), confirming that there is sufficient trend strength.
- *Short Entry*:
- The 20 EMA crosses below the 50 EMA (indicating a potential bearish trend).
- The RSI is above the overbought level (70), suggesting the asset may be overvalued.
- The price is above the upper Bollinger Band, indicating potential price reversal.
- The ADX is above the specified threshold (25), confirming trend strength.
3. *Position Sizing*:
- The script calculates the position size dynamically based on the trader's risk per trade (expressed as a percentage of the total capital) and the ATR. This ensures that the trader does not risk more than the specified percentage on any single trade, adjusting the position size according to market volatility.
4. *Exit Conditions*:
- The strategy uses a trailing stop-loss mechanism to secure profits as the price moves in the trader's favor. The trailing stop is set at a percentage (1.5% by default) below the highest price reached since entry for long positions and above the lowest price for short positions.
- Additionally, if the RSI crosses back above the overbought level while in a long position or below the oversold level while in a short position, the position is closed to prevent losses.
5. *Alerts*:
- Alerts are set to notify the trader when a buy or sell condition is met based on the strategy's rules. This allows for timely execution of trades.
### Summary
This strategy aims to capture significant price movements in the XAU/USD market by combining trend-following (EMAs, ADX) and momentum indicators (RSI, Bollinger Bands). The dynamic position sizing based on ATR helps manage risk effectively. By implementing trailing stops and alert mechanisms, the strategy enhances the trader's ability to act quickly on opportunities while mitigating potential losses.
Nifty scalping 3 minutesOverview:
The "Nifty Scalping 3 Minutes" strategy is a uniquely tailored trading system for Nifty Futures traders, with a clear focus on capital preservation, dynamic risk management, and high-probability trade entries. This strategy uses unique combination of standard technical indicators like Jurik Moving Average (JMA), Exponential Moving Average (EMA), and Bollinger Bands, but it truly stands out through its Price-Volume Spike Detection system—a unique mechanism designed to trigger trades only during periods of high momentum and market participation. The strategy also incorporates robust risk management, ensuring that traders minimize losses while maximizing profits. in complete back test range max drawdown is less than 1%
Scalping Approach and Requirements:
The strategy focuses on quick in and out trades, aiming to capture small, quick profits during periods of heightened market activity. For optimal performance, traders should have ₹2,00,000 or more in capital available per trade. The dynamic lot calculation and risk controls require this level of capital to function effectively.
Small, frequent trades are the focus, and the strategy is ideal for traders comfortable with high-frequency executions. Traders with insufficient capital or those not comfortable with frequent trades may find this strategy unsuitable.
Default Properties for Publication:
Initial Capital: ₹2,000,000
Lot Size: 25 contracts (adjusted dynamically based on available margin)
Stop-Loss: Risk per trade capped at 1% of equity.
Slippage and Commission: Realistic values are factored into the backtesting.
Key Feature: Price-Volume Spike Detection
1. Condition: Trades are executed only when there is a significant price spike confirmed by a volume spike. The candle width is calculated by multiplying the price change (difference between the candle's open and close) by the volume, and this result is compared to a 126-period average of both price and volume.
A trade is triggered when the current price-volume spike exceeds this average by a preset volume multiplier (default set at 3). This ensures that both the price change and volume are unusually strong compared to normal market behavior.
2. Reasoning: Many traders fail to incorporate the relationship between price movement and volume effectively. By using this Price-Volume Spike Detection mechanism, the strategy ensures that it only enters trades during periods of strong market momentum when both price and volume confirm a real market move, not just noise or small fluctuations.
The 126-period moving average of volume is chosen specifically because it represents a complete trading session on the 3-minute chart. This ensures that the volume spike is compared against a realistic baseline of daily activity, making the detection more robust and reliable.
The volume multiplier allows flexibility in determining the threshold for a significant spike, enabling users to fine-tune the strategy according to their risk tolerance and market conditions.
Trade Placement Logic:
1. Trend Confirmation with JMA and EMA:
Condition: The strategy will only consider entering a trade when JMA crosses above EMA for a long trade or JMA crosses below EMA for a short trade.
Reasoning: The JMA is used for its low lag and responsiveness, allowing it to capture early trends, while the EMA adds a level of confirmation by weighing recent price action more heavily. This dual confirmation ensures that trades are entered only when a solid trend is in place.
2. Bollinger Bands for Volatility Breakouts:
Condition: In addition to the JMA-EMA crossover, the price must break outside the Bollinger Bands—above the upper band for long trades, or below the lower band for short trades.
Reasoning: Bollinger Bands are a volatility indicator. By requiring a price breakout beyond the bands, the strategy ensures that trades are placed during periods of high volatility, avoiding low-momentum, sideways markets.
3. Volume and Price Confirmation (Price-Volume Spike Detection):
Condition: A trade is only triggered if the price-volume spike condition is met. This ensures that the market move is backed by strong volume and that the price change is significant relative to the recent average activity.
Reasoning: This condition filters out low-volume environments where price movements are more likely to reverse or stall. By waiting for a spike in both price and volume, the strategy ensures that it enters trades during high-momentum periods, where follow-through is more likely.
Exit Logic and Risk Management:
1. Stop-Loss (SL) Placement:
Condition: Upon entering a trade, an initial stop-loss is placed below the candle low for long trades or above the candle high for short trades. This is adjusted if the risk exceeds 1% of total capital.
Reasoning: The stop-loss is placed at a logical level that accounts for recent price action, ensuring that the trade is given room to develop while protecting capital from unexpected market reversals.
2. Profit Target and Partial Profit Booking:
Condition: The first profit target is set at 2.1x the initial risk for long trades, and 2.5x the initial risk for short trades.
Reasoning: The 2.1x risk-reward ratio for long trades provides a solid return while maintaining a conservative risk profile. For short trades, the strategy uses a higher 2.5x risk-reward ratio because market falls tend to be sharper and quicker than rises, allowing for larger profit targets to be reached more reliably.
Partial Profit Booking: Once the first target is hit, 60% of the position is closed to lock in profits. The remaining 40% is left to run with a trailing stop.
3. ATR-Based Trailing Stop:
Condition: Once the first target is hit, the ATR (Average True Range) trailing stop is applied to the remaining position. This dynamically adjusts the stop-loss as the trade moves in a favorable direction.
Reasoning: The trailing stop allows the trade to capture further gains if the trend continues, while protecting profits if the momentum weakens. The ATR ensures that the stop adjusts according to the market's current volatility, providing flexibility and protection.
4. Time-Based Exit:
Condition: If a trade is still open by 3:20 PM, it is automatically closed to avoid end-of-day volatility.
Reasoning: The time-based exit ensures that trades are not held into the often-volatile closing minutes of the market, reducing the risk of unexpected price swings.
Capital and Risk Management:
1. Lot Size Calculation:
Condition: The strategy calculates the number of lots dynamically based on the available margin. It uses only 10% of total equity for each trade, and ensures that the maximum risk per trade does not exceed 1% of total capital.
Reasoning: This ensures that traders are not over-leveraged and that the risk is controlled for each trade. Capital protection is at the core of the strategy, ensuring that even during adverse market conditions, the trader’s capital is preserved.
2. Stop-Loss Protection:
Condition: The stop-loss is designed to ensure that no more than 1% of capital is at risk in any trade.
Reasoning: By limiting risk exposure, the strategy focuses on long-term capital preservation while still allowing for profitable trades in favorable market conditions.
STBT/BTST Facilitation:
1. Feature: The strategy allows traders the option to hold positions overnight, facilitating STBT (Sell Today Buy Tomorrow) and BTST (Buy Today Sell Tomorrow) trades.
Reasoning: Backtests show that holding positions overnight when all trade conditions are still valid can lead to beneficial outcomes. This feature allows traders to take advantage of overnight market movements, providing flexibility beyond intraday trades.
Why This Strategy Stands Out:
Price-Volume Spike Detection: Unlike traditional strategies, this one uniquely focuses on Price-Volume Spike Detection to filter out low-probability trades. By ensuring that both price and volume spikes are present, the strategy guarantees that trades are placed only when there is significant market momentum.
Risk Management with Capital Protection: The strategy strictly limits the risk per trade to 1% of capital, ensuring long-term capital preservation. This is especially important for traders who wish to avoid large drawdowns and prefer a sustainable approach to trading.
2.5x Risk-Reward for Short Trades: Recognizing the sharpness of market declines, the strategy employs a 2.5x risk-reward ratio for short trades, maximizing profits during bearish trends.
Dynamic Exit Strategy: With partial profit booking and ATR-based trailing stops, the strategy is designed to capture gains efficiently while protecting capital through dynamic exit conditions.
Summary of Execution:
Entry: Triggered when JMA crosses EMA, combined with Bollinger Band breakouts and Price-Volume Spike Detection.
Capital Management: Trades are executed with 10% of available capital, and the risk per trade is capped at 1%.
Exit: Trades exit when stop-loss, ATR trailing stop, or time-based exit conditions are met.
Profit Booking: 60% of the position is closed at the first target, with the remainder trailed using an ATR-based stop.
FVG Positioning Average with 200EMA Auto Trading [Pakun]Description
Strategy Name and Purpose
FVG Positioning Average with 200EMA Auto Trading
This strategy uses Fair Value Gaps (FVG) combined with a 200-period Exponential Moving Average (EMA) and Average True Range (ATR) to generate trend-based trading signals. It is designed to help traders identify high-probability entry points by leveraging the gaps between fair value prices and current market prices.
Originality and Usefulness
This script combines multiple indicators to create a cohesive trading strategy that is greater than the sum of its parts. While FVG is a powerful tool on its own, combining it with the EMA and ATR adds layers of confirmation and risk management, enhancing its effectiveness. Here’s how the components work together:
Fair Value Gap (FVG): Identifies gaps in the market where price action has not fully filled, indicating potential reversal or continuation points.
200-period Exponential Moving Average (EMA): Acts as a trend filter to ensure trades are taken in the direction of the overall trend, improving the probability of success.
Average True Range (ATR): Used to filter out insignificant gaps and set dynamic stop-loss levels based on market volatility, enhancing risk management.
Entry Conditions
Long Entry
The close price crosses above the downtrend FVG.
The close price, FVG up average, and down average are all above the 200 EMA, indicating a strong bullish trend.
Short Entry
The close price crosses below the uptrend FVG.
The close price, FVG up average, and down average are all below the 200 EMA, indicating a strong bearish trend.
Exit Conditions
For long positions, the stop loss is set at the recent low, and the take profit is set at a point with a risk-reward ratio of 1:1.5.
For short positions, the stop loss is set at the recent high, and the take profit is set at a point with a risk-reward ratio of 1:1.5.
Risk Management
Account Size: 1,000,000 yen
Commission and Slippage: 2 pips commission and 1 pip slippage per trade
Risk per Trade: 10% of account equity
The stop loss is based on the recent low or recent high, ensuring trades are exited when the market moves against the position.
Settings Options
FVG Lookback: Set the lookback period for calculating FVGs.
Lookback Type: Choose the type of lookback (Bar Count or FVG Count).
ATR Multiplier: Set the multiplier for ATR to filter significant gaps.
EMA Period: Set the period for the EMA to adjust the trend filter sensitivity.
Show FVGs on Chart: Choose whether to display FVGs on the chart for visual confirmation.
Bullish/Bearish Color: Set the color for bullish and bearish FVGs to distinguish them easily.
Show Gradient Areas: Choose whether to display gradient areas to highlight the zones of interest.
Sufficient Sample Size
The strategy has been backtested with 113 trades, providing a sufficient sample size to evaluate its performance.
Notes
This strategy is based on historical data and does not guarantee future results.
Thoroughly backtest and validate results before using in live trading.
Market volatility and other external factors can affect performance and may not yield expected results.
Acknowledgment
This strategy uses the FVG Positioning Average Strategy indicator. Thanks to for their contribution.
Clean Chart Explanation
The script is published with a clean chart to ensure that its output is readily identifiable and easy to understand. No other scripts are included on the chart, and any drawings or images used are specifically to illustrate how the script works.
CE_ZLSMA_5MIN_CANDLECHART-- Overview
The "CE_ZLSMA_5MIN_CANDLECHART" strategy, developed by DailyPanda, is a comprehensive trading strategy designed for analyzing trading on 5-minute candlestick charts.
It aims to use some indicators calculated from a Hekin Ashi chart, while running it on a normal candlestick chart, making sure that no price distortion affects the strategy results .
It also brings a feature to show, on the candlestick chart, where the entries would take place on the HA chart, to also be able to study the effect that the price distortion would make on your backtest.
-- Credit
The code in this script is based on open-source indicators originally written by veryfid and everget, I've made significant changes and additions to the scripts but all credit for the idea goes to them, I just built on top of it:
-- Key Features
It incorporate already built indicators (ZLSMA) and CandelierExit (CE)
-- Zero Lag Least Squares Moving Average (ZLSMA) - by veryfid
The ZLSMA is used to detect trends with minimal lag, improving the accuracy of entry and exit signals.
It incorporates a double-smoothed linear regression to minimize lag and enhance trend-following capabilities.
Buy signals are generated when the price closes above the ZLSMA together with the CE signal.
It is calculated based on the HA candlestick pattern.
-- Chandelier Exit (CE) - by everget
The Chandelier Exit indicator is used to dynamically manage stop-loss levels based on the Average True Range (ATR).
It ensures that stop-loss levels are adaptive to market volatility, protecting profits and limiting losses.
The ATR period and multiplier can be customized to fit different trading styles and risk tolerances.
It is calculated based on the HA candlestick pattern.
-- Heikin Ashi Candles
The strategy leverages Heikin Ashi candlesticks to be able identify trends more clearly and leverage this to stay on winning trades longer.
Traders can choose to display Heikin Ashi candlesticks and order fills on the chart for better visualization.
-- Risk Management
The strategy includes multiple risk management options to protect traders' capital.
Maximum intraday loss limit based on a percentage of equity.
Maximum stop-loss in points to filter out entries with excessive risk.
Daily profit target to stop trading once the goal is achieved.
Options to use fixed contract sizes or dynamically adjust based on a percentage of equity.
These features help traders manage risk and ensure sustainable trading practices.
Moving Averages
Several moving averages (EMA 9, EMA 20, EMA 50, EMA 72, EMA 200, SMA 200, and SMA 500) are plotted to provide additional context and trend confirmation.
A "Zone of Value" is highlighted between the EMA 200 and SMA 200 to identify potential support and resistance areas.
-- Customizable Inputs
The strategy includes various customizable inputs, allowing traders to tailor it to their specific needs.
Start and stop trading times.
Risk management parameters (e.g., maximum stop-loss, daily drawdown limit, and daily profit target).
Display options for Heikin Ashi candles and moving averages.
ZLSMA length and offset.
-- Usage
-- Setting Up the Strategy
Configure the start year for the strategy and the trading hours using the input fields. The first candle of each day will be filled black for easy identification, while candles that are outside the allowed time range will be filled purple.
Customize the risk management parameters to match your risk tolerance and trading style.
Enable or disable the display of Heikin Ashi candlesticks and moving averages as desired.
-- Interpreting Signals
Buy signals are indicated by a "Buy" label when the Heikin Ashi close price is above the ZLSMA and the Chandelier Exit indicates a long position.
The strategy will automatically enter a long position with a stop-loss level determined the swing low.
Positions are closed when the close price falls below the ZLSMA.
-- Risk Management
The strategy monitors the maximum intraday loss and stops trading if the loss limit is reached.
If enabled, also stops trading once the daily profit target is achieved, helping to lock in gains.
You have the option to filter operations based on a maximum accepted stop-loss level, based on your risk tolerance.
You can also operate with a fixed amount of contracts or dynamically adjust it based on your allowed risk per trade, ensuring optimal protection of capital.
-- Visual Aids
The strategy plots various moving averages to provide additional trend context.
The "Zone of Value" between the EMA 200 and SMA 200 highlights potential support and resistance areas.
Heikin Ashi candlesticks and order fills can be displayed to enhance the difference this strategy would take if you were to backtest it on a Heikin Ashi chart.
-- Table of results
This strategy also breaks down the results on a monthly basis for better understanding of your capital development along the way.
-- Conclusion
The "CE_ZLSMA_5MIN_CANDLECHART" strategy is a tool for intraday traders looking to understand and leaverage the Heikin Ashi chart while still using the normal candle chart. Traders can customize the strategy to fit their specific needs, making it a versatile addition to any trading toolkit.
Indicators & Conditions Test Framework [DTU]Hello All,
This script is a framework to build strategies by combining indicators and conditions (long, short, exits). You are able to analyze your strategies in realtime by changing the input parameters related to indicators, conditions and their combinations.
OVERVIEW
With this Study/Strategy framework, you will be able to create strategy conditions, display them on the chart, and test them using existing indicators as well as external and custom indicators that you can add.
The main purpose of the Framework is to choose your indicators to be used in the conditions and test your strategy by producing your "Long, short, Exit long, Exit short" combinations.
Although may be, it can be a bit difficult and complicated at first start, but you can understand the logic on its use in a very short time.
Notes:
I removed external links off descriptive images and video to be comply with Trading view violation House Rules
Since I am new in the community and still trying to understand the pine script language I can make errors and violations on my script. Please Inform me on any issue that I made..
HOW TO
STEP 1: SETTINGS ______________________________________________________________________________________________________
SOURCE, TIMEFRAME, SECURITY
Select the Source, timeframe and Secure type that your indicators will use.
Here, the Secure entry consists of 3 parts and the f_security function is used to determine it.
a)Secure
This option is defined as reducing repaint in tradingview calculations as much as possible. The following function is used.
request.security(_symbol, _res, _src , lookahead=barmerge.lookahead_on)
b)Semi Secure
While this option can reduce repaint in tradingview calculations as much as possible, it is less secure. The following function is used.
request.security(_symbol, _res, _src )
c)Repaint
This option turns on the repaint feature. The following function is used.
request.security(_symbol, _res, _src ) : na
Ind Source:
You can the source that indicators will use their own calculations
Ext Source:
You can import external Indicator sources from here . It appears on condition/combination area as "EXT".
To export the External indicator plot it with a title. It will be visible in source dropdown input
PERIOD , ALERTS...
Period:
Determine your strategy testing period by selecting start and end date/time
(!!! According to your tradingview subscription, it takes the last 5000, 10000.. bars.
The extra bar option may cause problems such as not appearing in the calculations or errors).
Plot Alerts:
Plot condition result as alerts arrows on the chart's bottom for "LONG" and the top for "SHORT" entries, exits
Close on opposite:
When selected, a long entry gets closed when a short entry opens and vice versa
Show Profit:
It appears if script is in strategy mode (not in study) this can display current or open profit for better reanalyzing your strategy entry exit points. (Currently under development)
PLOT TYPE OPERATIONS
This option has 4 entries
a) Mult
Sets the multiplier for the selected Plot Type (stochastic, Percentrank, Org Range (-1,1) ) except for "Original" in the range (-1,1).
EXAMPLE: When 1000 is selected, the indicator in the range of (-1,1) will appear in the range of (-1000, 1000) on the screen.
b) Shift
It determines the shift that will appear on the screen for the selected Plot Type (stochastic, Percentrank,Org Range (-1,1) ) in the range (-1,1) other than "Original".
EXAMPLE: When Shift:35000 and mult:1000 are selected, the indicator will appear in the range (34000, 36000) on the screen.
c) Smooth
This option (only for Stochastic & PercentRank) allows to smooth the indicator to be displayed.
Here, tradinview ta.swma function is used.
b) hline
Adjusts the horizontal lines to appear on the screen according to the mult factor for the range (-1,1)
The lines represent the values (-1, -05, 0, 05, 1)
STEP 2: INDICATORS ______________________________________________________________________________________________________
You need to choose indicators that you can use in strategy conditions.
Here, the indicators come from the dturkuler/lib_Indicators_DT open script library defined in the code
In addition, you can add the indicators that you will create in the area defined in the code to this list..
You can also import external indicators and test them with other variables on the system..
You can choose a maximum of 5 indicators that you can use in total. (can be increased in new versions)
Indicators are categorized in 3 main sections
Indicator Selection:
You can select your indicators from this area
a)Moving Averages
These are indicators such as EMA, SMA that you can show on the stock. They come from the library.
These indicators are fed from Settings/source. Only the length value can be used as a parameter.
In addition, line colors can be changed..
As of now, there are 28 indicators in the library in total and 5 indicators are left as future use for this field for now.
b)Other Indicators
These are different indicators from the stock value such as RSI, COG. They come from the library. These indicators are fed from Settings/source.
Only the length value can be used as a parameter. In addition, line colors can be changed.
As of now, there are 24 indicators in the library in total and 5 indicators are left as a future use for this field for now.
c)Custom Indicators
These indicators are the ones you can create by programming yourself in the source code..
The area at the bottom of the settings screen is reserved for the parameters of this type of indicators.
Indicator Length:
You can update your selected indicator length value from here. (Not: it doesn't work for custom indicators since they have their parameter on cust. Ind. input screen )
Indicator Plot Type:
Next to the indicators, there is an input selection field about how they will be displayed on the screen.
a)Original
The indicator is displayed on the screen with its current values. It is an ideal solution for displaying moving average indicators such as (EMA, SMA) over current stock.
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
For this reason, other options may be more suitable for these.
b)Stochastic
The indicator is displayed on the screen with stochastic calculation in the range of -1.1.
It uses the stochastic(50) calculation method to spread indicators such as (RSI, COB) over the range (-1,1).
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
c)PercentRank
The indicator is displayed on the screen with stochastic calculation in the range of -1.1. .
Since the values of indicators such as (RSI, COB) are low (-100,100 : -1.1), they appear at the bottom of the screen and make analysis difficult.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen
((!!! Do not use the values on the chart in your condition calculations. Instead, get the values from Data Window)
d)Org Range (-1,1)
If your indicator is in the range of -1.1, your indicator will be displayed on the screen with its original calculation in the range of -1.1.
Indicators in this selection can be fixed and monitored under stock on the screen with the parameters under the Plot Type section.
You can see the original values of the relevant indicator on the Data Window screen.
(!!! Do not use the values on the chart in your fitness calculations. Instead, get the values from Data Window)
STEP 2 NOTES:
STEP 3: CONDITIONS ______________________________________________________________________________________________________
After choosing the indicators you will use in the conditions, you move on to the "CONDITIONS" section.
There are 4 conditions type here.
• LONG ENTRY CONDITION
• SHORT ENTRY CONDITION
• LONG CLOSE CONDITION
• SHORT CLOSE CONDITION
The use of each condition is the same.
There are 3 combinations you can use in each condition. (can be increased in new versions)
a)COMBINATIONS
There are 3 combinations you can use in each condition. (can be increased in new versions)
Each combination are build from 4 parts
1)1st Indicator
If set to "NONE" this combination will not be used on calculations. You can select
IND1-5: from indicators (See above),
EXT: value from externally imported indicator
Stock built-in values: close, open...
2)Operator
Selected Operator compares 1st Indicator with the 2nd one. You can select different operators such as
crossover, crossunder, cross,>,<,=....
3)2nd Indicator
This indicator will be compared with the 1st one via selected Operator. You can select
IND1-5: from indicators (See above),
VALUE: a float value defined in the combinations value parameter
EXT: value from externally imported indicator
Stock builtin values: close,open...
4)Value
When the 2nd indicator field is "VALUE", value area compares the entered value.
ex: 1st indicator="open", op=">", 2nd indicator="VALUE", value=3000.12 means is(close>3000.12)
In other conditions, it compares the previous values of the indicator.
ex: 1st indicator="open", op=">" 2nd indicator is "close" and value is 2 means is(open>close )
EXAMPLES:
indicator 1= "IND1", Operator=">", indicator 2= "IND2" => is(IND1>IND2)
indicator 1= "IND1", Operator=">", indicator 2= "VALUE", "0.1" => is(IND1>0.9)
indicator 1= "IND2", Operator="crossover", indicator 2= "IND1" => is(IND2 crossover IND1) : like a=ta.crossover(IND2, IND1)
indicator 1= "IND1", Operator="<", indicator 2= "close" => is(IND1>close)
indicator 1= "IND1", Operator="<", indicator 2= "EXT" => is(IND1>EXT) , EXT mean external imported indicator that define on settings section
indicator 1= "IND1", Operator="<", indicator 2= "IND1", Value="1" => is (IND1>IND1 )
b)JOIN COMBINATIONS
Each combination in Condition is compared with the next one via JOIN operator
The join operator can be selected as AND or OR.
Examples:
1st combination= is(IND1>0.9) true
2nd combination= is(IND2 crossover IND1) false
1st combination "AND" 2ndcombination" => false (is(IND1>0.9) AND is(IND2 crossover IND1))
1st combination "OR" 2nd combination" => true (is(IND1>0.9) OR is(IND2 crossover IND1))
STEP 3 NOTES:
When the 2nd indicator field is "VALUE", value area compares the entered value. In other conditions, it compares the previous values of the indicator.
In cases where "VALUE" is not selected, integer values must be entered in this field. (float should not be entered. ie 1, 2 should be entered)
!!!If the 1st indicator is "NONE" in the combination, that combination is cancelled.
Each combination returns true/false, allowing the selected value to be compared with another value
Example: EMA(21)>EMA(50) returns true under all conditions or (EMA(21) crossover EMA(50)) returns true when passed.
You can use , Value of 5 indicators (IND1-IND5) or (VALUE) that you have defined in combinations or import indicator (EXT) or stock values (close, open, high...) in your calculations.
combination Compares the 1st indicator with 2nd indicator via the operator.
STEP 4: CUSTOM INDICATORS ______________________________________________________________________________________________________
There is an area in the code for designing Custom Indicators.
Here you can design your own indicators and use them in the framework.
You can also create unlimited parameters for your indicators in the SETTINGS custom indicator field.
For now, only 3 Custom indicators have been defined.
Examples are entered in the code for custom indicators.
STEP 4 NOTES:
Including / updating custom to the code is explained in the source code
• LIMITATIONS:
!!! According to your tradingview subscription, it takes the last 5000, 10000.. bars. More bar options may cause problems such as not appearing in the calculations or errors.
• RAMBLINGS:
• NOTES [ /i]
This Script can be used as an indicator if the last strategy parts in the code are commented out and converted to the initial strategy study.
It was originally prepared for my use with my own strategy framework and has export functions accordingly.
When integrated to my own strategy framework it brings many more features over strategy definition of trades.
• TODO [ /i]
TODO: Add tooltips to the settings screen
TODO: Add double triple, Quatr factor for all indicators (convert any indicator to factor2-4 facotr. ex: EMA to DEMA, TEMA, QEMA...)
TODO: Add factorized Fibo avg range indicator (good for trend definition and entry exit points)
TODO: Add bands to the indicator and conditions
TODO: Add debug window for exporting indicator's parameters
TODO: Add isRising(value) isFalling(value), is...(value) .... to combinations (they can be used as custom indicator also
TODO: Reassess condition entry screen for user friendly GUI
TODO: Increase # conditions from 3 to 4
TODO: Reassess strategy entries, exit and close (should be improved)
TODO: Add Alerts, Condiional alerts for indicator (study) part
TODO: Create export function v3 for Pinecoders Indicator framework
• THANKS:
For Pine script format docs RicardoSantos .
For Pine script coding standards Pinecoders .
For moving average script used on library s RodrigoKazuma .
[Advanced] Hilega-Milega IndicatorThis Indicator Name is Hilega Milega, and the original Idea given by Nitish Kumar, I just coded it and add some signals for backtesting.
it works on RSI + WMA and EMA plotted.
Default Values Used :
RSI = 9
WMA = 21
EMA = 3
But i added some extra, now everyone can change the Type of WMA and EMA, also SMA for trend confirmation,
How it works ??
Buy : When RSI crossover WMA or any Type of Moving Average you choose,
Sell : When RSI crossunder WMA or any Type of Moving Average you choose,
also:
Buy : When EMA crossover WMA or any Type of Moving Average you choose,
Sell : When EMA crossunder WMA or any Type of Moving Average you choose,
also:
Buy : When RSI + EMA crossover WMA or any Type of Moving Average you choose at the Same time,
Sell : When RSI + EMA crossunder WMA or any Type of Moving Average you choose at the Same time,
and Much More...! hope so you like it,
trend Screener downtrendthis is in continuation with - previous trend screener i have published, In this code only downtrend screener is there ,This is type of custom screener I searched and made to screen bulk stocks any one can modify it, other may get help out of it.
you can change or add new symbol in input section.
in my code i have made defined and printed last close price when downtrend was true.
1. downtrend = ema (close,55)< ema (close,144) and ema (close,144)< ema (close,388) and ema (close,388)<ema(close,576) and close<ema(close,388)
if the indicator is printing DOWNTREND=TRUE or UPTREND=TRUE then the corresponding stock is in currently in that trend out of the stocks listed in the code
in one code only 40 (max) stocks can be called.
to add more stocks I copied same code and changed the stocks in the code, now you can screen 80 stocks at a time.
This code runs on each bar and checks if the stocks is in uptrend or down trend.
you can customize this screener according to your requirement.
Supertrend Strategy PRO FiltersSupertrend Strategy — PRO Filters is an extended trend-following strategy based on the classic SuperTrend indicator, enhanced with 7 independent professional entry-quality filters, a Stop Loss / Take Profit system, and higher timeframe support.
The strategy is designed for intraday and swing trading on liquid instruments (stocks, futures, cryptocurrencies).
The core logic of the strategy
The strategy is built around the SuperTrend indicator calculated using ATR:
Long — when the trend changes from bearish to bullish
Short — when the trend changes from bullish to bearish
The trend reversal is determined by a breakout of the dynamic SuperTrend lines (up / down), which adapt to market volatility.
Filter system (7 levels)
Each filter can be enabled or disabled independently, allowing the strategy to be adapted to any market and trading style.
ATR Regime Filter
Purpose: trading only during active market phases
An entry is allowed when the current ATR is above its average value
Filters out flat and low-volatility periods
Higher Timeframe Trend Filter
Purpose: trading only in the direction of the higher timeframe trend
Uses SuperTrend on the higher timeframe
Long — only when the HTF trend is bullish
Short — only when the HTF trend is bearish
RSI Impulse Filter
Purpose: filtering out weak and late impulses
Long: RSI above a specified level
Short: RSI below a specified level
Candle Quality Filter
Purpose: excluding entries on “noisy” candles
Entries are allowed only when the candle body is significantly larger than the wicks
Helps avoid false breakouts
SuperTrend Slope Filter
Purpose: confirming trend strength
The slope of the SuperTrend lines is analyzed
Entries are allowed only when sufficient momentum is present
Volume Filter
Purpose: confirming price movement with volume
Volume must exceed the SMA of volume by a multiplier
Filters out moves without participation from large players
EMA Trend Filter
Purpose: additional direction filter
Long — price above EMA
Short — price below EMA
Final entry conditions
A trade is opened only when all of the following are met:
A SuperTrend trend-change signal
All enabled filters
This significantly reduces the number of trades while improving their quality.
Risk management (SL / TP)
An optional fixed-risk system:
Take Profit — as a percentage of the entry price
Stop Loss — as a percentage of the entry price
Works identically for both Long and Short positions
Usage recommendations
Best results are typically achieved on 15m–1h timeframes
It is recommended to optimize filters for each specific instrument
Especially effective in markets with strong, well-defined trends
Disclaimer
This strategy is intended for analysis and educational purposes only.
Before using it in live trading, be sure to conduct your own testing and optimization.
Supertrend Strategy — PRO Filters — это расширенная трендовая стратегия на базе классического SuperTrend, дополненная 7 независимыми профессиональными фильтрами качества входа, системой Stop Loss / Take Profit и поддержкой старшего таймфрейма.
Стратегия предназначена для интрадей- и свинг-торговли на ликвидных инструментах (акции, фьючерсы, криптовалюты).
Базовая логика стратегии
В основе стратегии лежит индикатор SuperTrend, построенный на ATR:
Long — при смене тренда с нисходящего на восходящий
Short — при смене тренда с восходящего на нисходящий
Смена направления определяется пробоем динамических линий SuperTrend (up / down), адаптирующихся к волатильности рынка.
Система фильтров (7 уровней)
Каждый фильтр можно включать или отключать независимо, что позволяет адаптировать стратегию под любой рынок и стиль торговли.
ATR Regime Filter
Назначение: торговля только в активной фазе рынка
Вход разрешён, если текущий ATR выше своего среднего значения
Отсекает флэт и низковолатильные периоды
Higher Timeframe Trend Filter
Назначение: торговля только в сторону тренда старшего таймфрейма
Используется SuperTrend на HTF
Long — только при восходящем тренде HTF
Short — только при нисходящем
RSI Impulse Filter
Назначение: фильтрация слабых и запаздывающих импульсов
Long: RSI выше заданного уровня
Short: RSI ниже заданного уровня
Candle Quality Filter
Назначение: исключение входов по «шумным» свечам
Вход только если тело свечи существенно больше фитилей
Помогает избежать ложных пробоев
SuperTrend Slope Filter
Назначение: подтверждение силы тренда
Анализируется наклон линий SuperTrend
Вход разрешён только при достаточной динамике
Volume Filter
Назначение: подтверждение движения объёмом
Объём должен превышать SMA объёма с коэффициентом
Исключает входы без участия крупных игроков
EMA Trend Filter
Назначение: дополнительный фильтр направления
Long — цена выше EMA
Short — цена ниже EMA
Итоговые условия входа
Сделка открывается только при одновременном выполнении:
Сигнала смены тренда SuperTrend
Всех активированных фильтров
Это значительно снижает количество сделок, но повышает их качество.
Управление рисками (SL / TP)
Опциональная система фиксированного риска:
Take Profit — в процентах от цены входа
Stop Loss — в процентах от цены входа
Работает одинаково для Long и Short
Рекомендации по использованию
Лучшие результаты показывает на 15m–1h таймфреймах
Рекомендуется оптимизация фильтров под конкретный инструмент
Особенно эффективна на рынках с выраженными трендами
Дисклеймер
Стратегия предназначена для анализа и обучения.
Перед использованием в реальной торговле обязательно проведите собственное тестирование и оптимизацию.
Переведи на английский. Не форматироу просто перевод
Hybrid Trend-Following Inside Bar BreakoutHybrid Trend-Following Inside Bar Breakout Strategy
The Hybrid Trend-Following Inside Bar Breakout Strategy is a rule-based trading system designed to capture strong directional moves while controlling risk during uncertain market conditions. It combines trend-following, price action, and volatility-based risk management into a single robust framework.
Core Concept
The strategy trades inside bar breakouts only in the direction of the dominant market trend. Inside bars represent periods of consolidation, and when price breaks out of this consolidation in a trending market, it often leads to impulsive moves with favorable risk–reward characteristics.
Key Components
1. Trend Filter
Uses 50 EMA and 200 EMA to define the market trend.
Bullish bias: 50 EMA above 200 EMA
Bearish bias: 50 EMA below 200 EMA
This filter prevents counter-trend trades and improves trade quality.
2. Volatility Filter
Compares fast ATR (14) with slow ATR (50).
Trades are taken only when volatility is expanding or above a minimum threshold.
This avoids low-volatility, choppy market conditions.
3. Inside Bar Breakout
An inside bar forms when the current candle’s high is lower than the previous candle’s high and the low is higher than the previous candle’s low.
A trade is triggered only when price breaks above or below the inside bar range in the direction of the trend.
4. Candle Quality Filter
Requires a minimum body-to-range ratio, ensuring that the breakout candle has strong momentum and is not driven by weak wicks.
Risk Management & Trade Management
Stop Loss (SL)
Placed using ATR-based dynamic stops, adapting to current market volatility.
Prevents tight stops in volatile conditions and wide stops in calm markets.
Partial Profit Taking
50% of the position is exited at 1.5R, locking in profits early.
This reduces psychological pressure and improves equity stability.
Trailing Stop
After partial profit is taken, the remaining position is managed with an ATR-based trailing stop.
Allows the strategy to capture large trend moves while protecting gains.
Cooldown Mechanism
After a losing trade, the system enters a cooldown period and skips a fixed number of bars.
This helps avoid revenge trading and overtrading during unfavorable market phases.
Why This Strategy Works
Trades only high-probability breakouts in trending markets
Adapts automatically to changing volatility
Combines price action precision with systematic risk control
Designed for consistent performance over long historical periods
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.
Empire OS Automated Trading • Institutional-grade executionEmpire OS – 9/40 EMA Dynamic Momentum Strategy
This strategy isn’t just EMAs — it’s a dynamic entry and exit system built around real-time price behavior. The 9/40 EMA setup gives the base trend direction, and the internal engine calculates every entry, stop, and target using recent price action and a 14-ATR volatility model.
Everything adjusts automatically:
• Entries react to momentum shifts based on the 9/40 EMA separation
• Stops tighten or widen based on the current 14-ATR reading
• Targets scale with real market volatility (not fixed numbers)
• Risk-to-Reward is calculated on the fly for cleaner, stronger trades
• Exits are based on structure + volatility, not random lines
Most strategies use fixed stops, fixed R:R, or standard EMA pairs that anyone can copy.
This one adapts to the market in real time — making every trade unique to current conditions.
It’s rare because almost nobody builds a retail strategy that:
Uses a non-standard 9/40 EMA combo
Calculates stops + targets off real volatility
Adjusts risk reward based on live price activity
Filters entries through momentum AND price structure
Keeps drawdown tight while catching high-quality moves
This is the official Empire OS version — built for consistency, momentum accuracy, and prop-firm scalability.
