BTC Swing Strategy (v1.1 Core Edition)This strategy is a trend-following and volatility-breakout swing trading system optimized for the BTCUSDT 1-hour timeframe.
【 Overview 】
Market: BTCUSDT (Cryptocurrency - Bitcoin)
Timeframe: 1-hour (optimized; no guarantee for other timeframes)
Strategy Type: Trend-following + Volatility Breakout
Trade Direction: Long (Buy) only
【 Entry Logic 】
Confirm trend direction with EMA (20/50/100) and 4H EMA alignment
Filter strong trends using ADX and Volume
Detect "quiet accumulation phases" with ATR, VWAP, and candlestick patterns
Capture momentum with MACD crossovers
Avoid overbought conditions using RSI filters
【 Exit & Risk Management 】
Detect exit signals via MACD bearish crossovers
Use ATR-based dynamic trailing stops to lock in profits
Automatically tighten the trailing stop during high volatility (ATR spikes)
Automatically adjust position size based on risk (default 0.3% of account equity per trade)
Default settings use an ATR ×1.8 stop-loss and ATR ×0.8 trailing stop, maintaining max drawdown within approximately 1.7%.
【 Features 】
Maximum drawdown: within 1.7% (backtested from 2013–2025)
Win rate: approx. 43.6%
Payoff ratio: 2.62
Profit factor: 2.02
Fully automated logic — no manual decision-making required
Compatible with TradingView Alerts + Webhook for auto-trading (e.g., via 3Commas)
【 Important Notes 】
This strategy is based on historical data and does not guarantee future performance.
Due to the volatile nature of cryptocurrency markets, unexpected losses may occur.
Please use at your own discretion.
【 Access Information 】
This is an Invite-only script.
If you are interested, please visit:
→ btcstrategy.base.shop
Indicatori e strategie
Swing Trade Strategy - Long Entry (100% Equity)Long swing trade on Daily chart using Elder's indicators
Arena-Hub-DC-Strategy V3.0This script must be individually configured for each cryptocurrency. After monitoring several coins, I’ve realized that each one requires its own unique setup. There's no “one-size-fits-all” — and different timeframes require different configurations as well.
⚠️ Risk management is essential.
If you're not familiar with proper risk management, please do not use this script. Make sure to configure your commission and slippage settings appropriately, as these are critical for realistic backtesting results. The Stop Loss and Take Profit levels are not automated — they must be adjusted by the user.
This script is not a financial advisor. It won't make risk or profit-related decisions for you. It's a tool designed to help identify potential entries, trends, and exit opportunities — but all final decisions must be made by the trader.
The default settings are only examples. You’ll need to customize them for each crypto asset and timeframe to make the strategy truly work for your style and market conditions.
The script evaluates:
The positioning of two RSIs relative to each other
Their alignment with a customizable RSI-EMA
The values of EMAs and the ATR (volatility)
A custom weighting system using ADR and VOLUME, which strongly affects trade signals. The weights can be adjusted in 0.1 increments, and even small changes can have a big impact — so fine-tuning is important!
These indicators were chosen because they complement each other:
RSI and its EMA help identify momentum shifts
ATR gauges volatility to confirm market conditions
ADR and VOLUME help filter weak signals and fine-tune entries and exits
🔍 Important: Only use this script if you understand how RSI, EMA, ATR, ADR, and VOLUME indicators work, and are comfortable making your own trading decisions.
The backtest results are based on historical data — the script cannot see the future, not even guess it. Please use it responsibly.
This script is an advanced trend-following strategy that dynamically combines RSI, SMA, EMA, ATR, ADX, and volume indicators using a unique weighting and filtering mechanism. Instead of simply combining traditional indicators, it applies them in a unique way:
✅ Dual RSI Comparison: The strategy utilizes two RSI indicators, analyzing their relative movement to filter out false signals and provide more precise entry points.
✅ Custom Entry and Exit Rules: EMA crossovers alone do not generate signals; instead, they go through a dynamic RSI filter that takes market volatility into account using ATR and ADX.
✅ Intelligent Trend Identification: Instead of standard moving averages, a uniquely weighted SMA/EMA system is used to assess trend strength and stability.
✅ ATR, ADX & Volume-Based Weighting: The EMA length is dynamically adjusted based on ATR, ADX, and volume, allowing moving averages to react faster in strong trends while smoothing out in choppy markets.
✅ Why Invite-Only?
This strategy applies proprietary calculations and filtering methods that go beyond simply merging traditional indicators. Since it is a custom-developed strategy, access is invite-only to protect the source code.
Advanced Dynamic EMA Zone
This is not your typical EMA indicator. It's an enhanced, dynamically adaptive trend zone that:
✅ Applies gradient shading – The zone between EMAs is divided into four layers, highlighting trend strength through smooth color transitions.
✅ Visualizes trend intensity – The strongest trends appear in the darkest shades, while weaker moves fade into lighter tones.
✅ Brings moving averages to life – Instead of static lines, it creates a visually intuitive trend channel.
✅ Differentiates bullish & bearish phases – The cloud fades from dark green to light green during an uptrend and from dark red to light red in a downtrend.
✅ Filters out market noise – Weakening trends appear more transparent, instantly revealing when momentum starts to fade.
✅ Enhances decision-making – Crossovers alone are not trading signals, but the visual representation helps identify market conditions at a glance.
➡️ What makes it unique?
Traditional moving average indicators rely on basic lines, but this is a full-fledged trend visualization system, helping traders filter noise and better understand price momentum.
🔄 Improved Custom EMA Smoothing Control
We’ve enhanced the weighting factor input for better user control! Previously, the EMA smoothing factor (ema1_smooth_factor) had a fixed step size that limited precision. Now, users can fine-tune it in 0.1 increments for greater flexibility.
✅ What’s new?
More precise control over EMA smoothing with adjustable step size (step=0.1).
Better adaptability to different market conditions.
Smoother trend visualization for traders who prefer fine-tuned settings.
This update ensures our custom EMA visualization remains superior to standard indicators. 🎯🔥
Adaptive Volatility StrategyAdaptive Volatility Strategy
A sophisticated multi-timeframe trading system that dynamically adjusts to market conditions through volatility-aware filtering. This strategy combines multiple technical indicators with a unique signal weighting algorithm to identify high-probability trade setups while filtering out market noise.
Key features:
Advanced volatility assessment that adapts to changing market conditions
Customizable session filtering for specific trading hours
Smart entry/exit logic with adjustable profit targets
Real-time technical dashboard for monitoring market conditions
Designed for futures trading with a focus on risk management and systematic decision-making across various market environments. The strategy aims to capture meaningful price movements while avoiding excessive whipsaws during choppy or uncertain periods.
FUMO GHOST V1.1FUMO GHOST V1.0 is a high-precision trend-following strategy that identifies explosive price continuations using EMA + Supertrend logic, filtered through Heikin Ashi confirmation candles.
This strategy is designed to operate across timeframes — from scalping (1M) to swing trading (1H+) — using adaptive auto-settings for sensitivity.
It’s built to be minimal, efficient, and bold — just like the #FUMO mindset.
🔍 Core Logic:
Supertrend (ATR-based) defines trend direction
EMA is used as a momentum baseline
Heikin Ashi logic filters entries:
Long: price above EMA, trend up, HA candle strong (open == low)
Short: price below EMA, trend down, HA candle weak (open == high)
Exit: triggered automatically on Supertrend reversal
This system is designed to stay in the trend as long as it’s valid — no scalping in/out or rapid re-entries.
⚙ Strategy Settings:
Auto-adjusts EMA & ATR parameters by timeframe (1M to 1D)
Manual override available (use_custom = true)
“Silent Mode” hides all visuals for minimal charting
Uses internal Heikin Ashi logic, regardless of visible candles
🧪 Backtest Notes:
Backtest is powered by TradingView’s built-in strategy() engine
Default risk: 10% equity per trade
For accurate simulation, enable “Use standard OHLC” in strategy settings — this ensures reliable backtest when internal Heikin Ashi logic is used
🔒 Why is the code protected?
This script uses:
A unique combination of Supertrend + EMA + Heikin Ashi filters
Internal timeframe-aware parameter scaling
Logic tuned specifically for explosive trend continuations
While freely available for public use, the source code is closed to protect the inner mechanism and prevent reverse engineering.
FUMO GHOST V1.0 is built for clarity, conviction, and confidence.
Make your next trade bold.
Make Fuck U Money — 24/7.
Fibonacci Trend TradingRules:
1. Trading Bias
Bullish
Price > EMA 200 = Bullish
Price < EMA 200 = Bearish
2. Trade signal
- Fibonacci retracement @ 50% - 61.8% for LONG
- Fibonacci retracement @61.8% - 78.6% for SHORT
- Look for engulfing candle before entering
3. TP, recent high
4. Trail Stop EMA 10 crossover or session end.
5. Trading session London and NY
LUX CLARA - EMA + VWAP (No ATR Filter) - v6EMA STRAT SHOUT OUTOUTLIERSSSSS
Overview:
an intraday strategy built around two core principles:
Trend Confirmation using the 50 EMA (Exponential Moving Average) in relation to the VWAP (Volume-Weighted Average Price).
Entry Signals triggered by the 8 EMA crossing the 50 EMA in the direction of that confirmed trend.
Key Logic:
Bullish Trend if the 50 EMA is above VWAP. Only long entries are allowed when the 8 EMA crosses above the 50 EMA during that bullish phase.
Bearish Trend if the 50 EMA is below VWAP. Only short entries are allowed when the 8 EMA crosses below the 50 EMA during that bearish phase.
Intraday Focus: Trades are restricted to a user-defined session window (default 7:30 AM–11:30 AM), aligning entries/exits with peak intraday liquidity.
Exit Rule: Positions close automatically when the 8 EMA crosses back in the opposite direction of the entry.
Why It Works:
EMA + VWAP helps detect both immediate momentum (EMAs) and overall institutional bias (VWAP).
By confining trades to a set intraday window, the strategy aims to capture morning volatility while avoiding choppy afternoon or overnight sessions.
Customization:
Users can adjust EMA lengths, session times, or incorporate stops/targets for additional risk management.
It can be tested on various symbols and intraday timeframes to gauge performance and robustness.
BDD stochKDBDD 系統中所使用的 stochKD 指標，類似於 KD指標，主要用法為金死叉判斷於K值動能判斷。
BDD 系统中所使用的 stochKD 指标，类似于 KD指标，主要用法为金死叉判断于K值动能判断。
The stochKD indicator used in the BDD system is similar to the KD indicator. It is mainly used to judge the golden cross and K value kinetic energy.
Smart Money Breakout & Order Block StrategySmart Money Breakout & Order Block Strategy
Created by Shubham
This strategy was developed by Shubham, designed to provide traders with a structured approach to smart money trading by combining breakout entries and order block reversals. It focuses on liquidity zones, volatility filters, and ATR-based stop management to adapt to different market conditions.
🔹 Strategy Overview
The Smart Money Breakout & Order Block Strategy is built for traders who want to identify institutional moves while avoiding false breakouts. This non-repainting strategy helps traders detect:
✅ Momentum Breakouts – Price breaking key support & resistance levels.
✅ Order Block Reversals – Institutional buying & selling zones.
✅ Dynamic Stop Management – No fixed SL/TP; uses ATR-based trailing stops.
✅ Volatility Filtering – Avoids choppy market conditions.
🔹 Trading Logic
1️⃣ Breakout Trading (Momentum Entries)
Long Entry: When price breaks above resistance with high volatility.
Short Entry: When price breaks below support with high volatility.
2️⃣ Order Block Reversals (Liquidity Entries)
Bullish Order Block: A strong price rejection after consecutive bearish candles signals smart money accumulation, triggering a long trade.
Bearish Order Block: A strong price rejection after consecutive bullish candles signals smart money distribution, triggering a short trade.
3️⃣ Volatility Filter (False Signal Prevention)
Uses normalized volatility to ensure breakouts are backed by strong momentum.
Helps filter out low-volume, choppy market conditions.
4️⃣ ATR-Based Position Management (Dynamic Stops & Trailing Stop)
No fixed SL/TP → Uses ATR-based stop-loss to adapt to market volatility.
Implements a trailing stop for maximizing potential profits in trending markets.
🔹 Key Features
✔️ Developed by Shubham – Designed for precision trading with institutional techniques.
✔️ Smart Money Concept – Identifies liquidity zones, breakouts, and order blocks.
✔️ Volatility Filter – Prevents false breakouts by analyzing market momentum.
✔️ ATR-Based Dynamic Stops – No fixed SL/TP, making it more adaptive.
✔️ Trailing Stop Functionality – Allows profits to run while reducing risk.
✔️ Fully Automated Execution – Uses TradingView’s strategy functions for automatic trade placement and exits.
✔️ Commission-Adjusted Backtesting – Includes realistic commission settings to ensure accurate results.
📊 Backtesting & Realistic Expectations
✅ Best for Higher Timeframes (1H, 4H, Daily) – Avoids market noise.
✅ Most Effective in Trending & Volatile Markets – Crypto, forex, indices, and commodities.
✅ Performance Varies with Market Conditions – Works best in strong trends.
✅ No Unrealistic Promises – Strategy performance is dependent on market behavior and risk management.
📌 IMPORTANT DISCLAIMER:
This strategy is provided for educational purposes only and should not be considered financial advice. Past performance in backtesting does not guarantee future results. Users should conduct their own research before applying this strategy in live markets.
🚀 Developed by Shubham – Test it yourself and see how it performs! 🚀
SJ SuperTrend V2SJ Super Trend V2 (updated 2025 04 04)
“A strategy for entry and exit signals that compares the 5-minute and 15-minute timeframes.”
TrendSync Pro (SMC)📊 TrendSync Pro (SMC) – Advanced Trend-Following Strategy with HTF Alignment
Created by Shubham Singh
🔍 Strategy Overview
TrendSync Pro (SMC) is a precision-based smart trend-following strategy inspired by Smart Money Concepts (SMC). It combines: Real-time pivot-based trendline detection
Higher Time Frame (HTF) filtering to align trades with dominant trend
Risk management via adjustable Stop Loss (SL) and Take Profit (TP)
Directional control — trade only bullish, bearish, or both setups
Realistic backtesting using commissions and slippage
Pre-optimized profiles for scalpers, intraday, swing, and long-term traders
🧠 How It Works:
🔧 Strategy Settings Image:
beeimg.com
The strategy dynamically identifies trend direction by using swing high/low pivots. When a new pivot forms: It draws a trendline from the last significant pivot
Detects whether the trend is up (based on pivot lows) or down (based on pivot highs)
Waits for price to break above/below the trendline
Confirms with HTF price direction (HTF close > previous HTF close = bullish)
Only then it triggers a long or short trade
It exits either at TP, SL, or a manual trendline break
🛠️ Adjustable Parameters:
Trend Period: Length for pivot detection (affects sensitivity of trendlines)
HTF Timeframe: Aligns lower timeframe entries with higher timeframe direction
SL% and TP%: Customize your risk-reward profile
Commission & Slippage: Make backtests more realistic
Trade Direction: Choose to trade: Long only, Short only, or Both
🎛️ Trade Direction Control:
In settings, you can choose: Bullish Only: Executes only long entries
Bearish Only: Executes only short entries
Both: Executes both long and short entries when conditions are met
This allows you to align trades with your own market bias or external analysis.
📈 Entry Logic: Long Entry:
• Price crosses above trendline
• HTF is bullish (HTF close > previous close)
• Latest pivot is a low (trend is considered up)
Short Entry:
• Price crosses below trendline
• HTF is bearish (HTF close < previous close)
• Latest pivot is a high (trend is considered down)
📉 Exit Logic: Hit Take Profit or Stop Loss
Manual trendline invalidation: If price crosses opposite of the trend direction
⏰ Best Timeframes & Recommended Settings:
Scalping (1m to 5m):
HTF = 15m | Trend Period = 7
SL = 0.5% | TP = 1% to 2%
Intraday (15m to 30m):
HTF = 1H | Trend Period = 10–14
SL = 0.75% | TP = 2% to 3%
6 Hour Trading (30m to 1H):
HTF = 4H | Trend Period = 20
SL = 1% | TP = 4% to 6%
Swing Trading (4H to 1D):
HTF = 1D | Trend Period = 35
SL = 2% | TP = 8% to 12%
Long-Term Investing (1D+):
HTF = 1W | Trend Period = 50
SL = 3% | TP = 15%+
Note: These are recommended base settings. Adjust based on volatility, asset class, or personal trading style.
📸 Testing Note:
beeimg.com
TradingView limits test length to 20k bars (~40 trades on smaller timeframes). To show long-term results: Test on higher timeframes (e.g., 1H, 4H, 1D)
Share images of backtest result in description
Host longer test result screenshots on Imgur or any public drive
📍 Asset Behavior Insight:
This strategy works on multiple assets, including BTC, ETH, etc.
Performance varies by trend strength:
Sometimes BTC performs better than ETH
Other times ETH gives better results
That’s normal as both assets follow different volatility and trend behavior
It’s a trend-following setup. Longer and clearer the trend → better the results.
✅ Best Practices: Avoid ranging markets
Use proper SL/TP for each timeframe
Use directional filter if you already have a directional bias
Always forward test before going live
⚠️ Trading Disclaimer:
This script is for educational and backtesting purposes only. Trading involves risk. Always use risk management and never invest more than you can afford to lose.
7th Gate OpenGate of Wonder, I have done it. Honestly I cant thank you all enough! This isn't the end and I will prevail until the earth crumbles and we are all dust.
RSI + MACD Strategy (15min)Dieser Chart dient einem Test.
In diesem Indikator wird der RSI und MDAC genutzt.
ZVGS Reactor🧠 ZVGS Reactor - High-Accuracy Trend Confirmation Strategy (Pine Script v6)
🚀 Overview
ZVGS Reactor is a precision-engineered, multi-layered trading strategy designed for crypto, forex, and equity markets. It blends adaptive trend tracking, directional strength confirmation, and volume validation to generate high-probability entries and exits. Built on a non-repainting foundation, the strategy ensures reliable performance in both backtesting and live trading environments.
🔹 How This Strategy Works (Indicator Fusion)
The ZVGS Reactor combines four core components:
1️⃣ ZLEMA Baseline for Trend Bias
📌 What It Does: Tracks the smoothed price trend and defines directional bias.
✔ Zero Lag Exponential Moving Average (ZLEMA)
Adaptive and responsive to price movement
Price above ZLEMA = bullish bias
Price below ZLEMA = bearish bias
2️⃣ Gradient Trend Filter for Momentum Slope
📌 What It Does: Measures slope strength to confirm directional momentum.
✔ Gradient Filter
Positive slope = bullish push
Negative slope = bearish pressure
3️⃣ Vortex Indicator (RMA Smoothed) for Trend Strength
📌 What It Does: Confirms whether the market is trending strongly in one direction.
✔ Vortex Indicator (VI)
VI+ > VI- = Bullish trend
VI- > VI+ = Bearish trend
Normalized & threshold-filtered for reliable confirmations
4️⃣ Volume Confirmation with Spike or Moving Average Toggle
📌 What It Does: Filters for strong market participation to reduce false breakouts.
✔ Volume Confirmation System
Spike Mode: Volume must exceed 1.5x its recent average
Toggle Option: Switch between spike mode and standard volume > average
Prevents entries in low-volume chop conditions
🎯 Entry & Exit Logic
✔ Long Entry (All Conditions Must Be Met):
Price above ZLEMA
Gradient slope > 0
Vortex confirms bullish strength
Volume passes confirmation filter
✔ Short Entry (All Conditions Must Be Met):
Price below ZLEMA
Gradient slope < 0
Vortex confirms bearish strength
Volume passes confirmation filter
✔ Exits (Fully Automated):
TP1: Close 50% at the first target
TP2: Fully exit at the second target
Stop Loss: Configurable SL included
🔧 Strategy Customization
All parameters are fully adjustable:
✅ ZLEMA length
✅ Volume confirmation mode (Spike or SMA)
✅ TP1/TP2/SL % levels
✅ Vortex length & threshold
✅ Gradient smoothing period
📈 Recommended Use Cases
Markets:
✅ Crypto (BTC, ETH, SOL, etc.)
✅ Forex (EUR/USD, GBP/JPY, etc.)
✅ Stocks & Indices (SPX, NASDAQ, DAX)
Timeframes:
✅ Swing: 1H – 4H – 1D
✅ Intraday: 5M – 15M – 30M
⚙️ Backtest Settings for Realistic Simulation
Initial Capital: $1,000
Commission: 0.05%
Slippage: 1
Date Filter: Built-in start and end time range
📢 TradingView Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk. Past performance is not indicative of future results. Always use demo testing before live deployment. Users are fully responsible for their own trading decisions.
🚀 Why Choose ZVGS Reactor?
✅ Zero-lag baseline with adaptive filtering
✅ Trend, strength, and volume confirmation
✅ Volume spike toggle for flexibility
✅ 100% Non-repainting — true signal stability
✅ Clean dashboard with real-time stats
✅ Works across all markets and timeframes
📢 Start Trading Smarter with ZVGS Reactor!
🔗 Use it on TradingView today and optimize your edge. 🔥
Smart Grid Scalping (Pullback) Strategy[BullByte]The Smart Grid Scalping (Pullback) Strategy is a high-frequency trading strategy designed for short-term traders who seek to capitalize on market pullbacks. This strategy utilizes a dynamic ATR-based grid system to define optimal entry points, ensuring precise trade execution. It integrates volatility filtering and an RSI-based confirmation mechanism to enhance signal accuracy and reduce false entries.
This strategy is specifically optimized for scalping by dynamically adjusting trade levels based on current market conditions. The grid-based system helps capture retracement opportunities while maintaining strict trade management through predefined profit targets and trailing stop-loss mechanisms.
Key Features :
1. ATR-Based Grid System :
- Uses a 10-period ATR to dynamically calculate grid levels for entry points.
- Prevents chasing trades by ensuring price has reached key levels before executing entries.
2. No Trade Zone Protection :
- Avoids low-volatility zones where price action is indecisive.
- Ensures only high-momentum trades are executed to improve success rate.
3. RSI-Based Entry Confirmation :
- Long trades are triggered when RSI is below 30 (oversold) and price is in the lower grid zone.
- Short trades are triggered when RSI is above 70 (overbought) and price is in the upper grid zone.
4. Automated Trade Execution :
- Long Entry: Triggered when price drops below the first grid level with sufficient volatility.
- Short Entry: Triggered when price exceeds the highest grid level with sufficient volatility.
5. Take Profit & Trailing Stop :
- Profit target set at a customizable percentage (default 0.2%).
- Adaptive trailing stop mechanism using ATR to lock in profits while minimizing premature exits.
6. Visual Trade Annotations :
- Clearly labeled "LONG" and "SHORT" markers appear at trade entries for better visualization.
- Grid levels are plotted dynamically to aid decision-making.
Strategy Logic :
- The script first calculates the ATR-based grid levels and ensures price action has sufficient volatility before allowing trades.
- An additional RSI filter is used to ensure trades are taken at ideal market conditions.
- Once a trade is executed, the script implements a trailing stop and predefined take profit to maximize gains while reducing risks.
---
Disclaimer :
Risk Warning :
This strategy is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Users are advised to conduct their own due diligence and risk management before using this strategy in live trading.
The developer and publisher of this script are not responsible for any financial losses incurred by the use of this strategy. Market conditions, slippage, and execution quality can affect real-world trading outcomes.
Use this script at your own discretion and always trade responsibly.
Profit Trailing BBandsProfit Trailing Trend BBands v4.7.5 with Double Trailing SL
A TradingView Pine Script Strategy
Created by Kevin Bourn and refined with the help of Grok 3 (xAI)
Overview
Welcome to Profit Trailing Trend BBands v4.7.5, a dynamic trading strategy designed to ride trends and lock in profits with a unique double trailing stop-loss mechanism. Built for TradingView’s Pine Script v6, this strategy combines Bollinger Bands for trend detection with a smart trailing system that doubles down on profit protection. Whether you’re trading XRP or any other asset, this tool aims to maximize gains while keeping risk in check—all with a clean, visual interface.
What It Does
Identifies Trends: Uses Bollinger Bands to spot uptrends (price crossing above the upper band) and downtrends (price crossing below the lower band).
Enters Positions: Opens long or short trades based on trend signals, with customizable position sizing and leverage.
Trails Profits: Employs a two-stage trailing stop-loss:
Initial Trailing SL: Acts as a take-profit level, set as a percentage (%) or dollar ($) distance from the entry price.
Tightened Trailing SL: Once the initial profit target is hit, the stop-loss tightens to half the initial distance, locking in gains as the trend continues.
Manages Risk: Includes a margin call feature to exit losing positions before they blow up your account.
Visualizes Everything: Plots Bollinger Bands (blue upper, orange lower) and a red stepped trailing stop-loss line for easy tracking.
Why Built It?
Captures Trends: Bollinger Bands are a proven way to catch momentum, and we tuned them for responsiveness (short length, moderate multiplier).
Secures Profits: Traditional trailing stops often leave money on the table or exit too early. The double trailing SL first takes a chunk of profit, then tightens up to ride the rest of the move.
Stays Flexible: Traders can tweak price sources, stop-loss types (% or $), and position sizing to fit their style.
Looks Good: Clear visuals help you see the strategy in action without cluttering your chart.
Originally refined for XRP, it’s versatile enough for most markets — crypto, forex, stocks, you name it.
How It Works
Core Components
Bollinger Bands:
Calculated using a simple moving average (SMA) and standard deviation.
Default settings: 6-period length, 1.66 multiplier.
Upper Band (blue): SMA + (1.66 × StdDev).
Lower Band (orange): SMA - (1.66 × StdDev).
Trend signals: Price crossing above the upper band triggers a long, below the lower band triggers a short.
Double Trailing Stop-Loss:
Initial SL: Set via "Trailing Stop-Loss Value" (default 6% or $6). Trails the price at this distance and doubles as the first profit target.
Tightened SL: Once price hits the initial SL distance in profit (e.g., +6%), the SL tightens to half (e.g., 3%) and continues trailing, locking in gains.
Visualized as a red stepped line, only visible during active positions.
Position Sizing:
Choose "% of Equity" (default 30%) or "Amount in $" to set trade size.
Leverage (default 10x) amplifies positions, capped by available equity to avoid overexposure.
Margin Call:
Exits positions if drawdown exceeds the "Margin %" (default 10%) to protect your account.
Backtesting Filter:
Starts trading after a user-defined date (default: Jan 1, 2020) for focused historical analysis.
Trade Logic
Long Entry: Price crosses above the upper Bollinger Band → Closes any short position, opens a long.
Short Entry: Price crosses below the lower Bollinger Band → Closes any long position, opens a short.
Exit: Position closes when price hits the trailing stop-loss or triggers a margin call.
How to Use It
Setup
Add to TradingView:
Open TradingView, go to the Pine Editor, paste the script, and click "Add to Chart."
Ensure you’re using Pine Script v6 (the script includes @version=6).
Configure Inputs:
Start Date for Backtesting: Set the date to begin historical testing (default: Jan 1, 2020).
BB Length & Mult: Adjust Bollinger Band sensitivity (default: 6, 1.66).
BB Price Source: Choose the price for BBands (default: Close).
Trend Price Source: Choose the price for trend detection (default: Close).
Trailing Stop-Loss Type: Pick "%" or "$" (default: Trailing SL %).
Trailing Stop-Loss Value: Set the initial SL distance (default: 6).
Margin %: Define the max drawdown before exit (default: 10%).
Order Size Type & Value: Set position size as % of equity (default: 30%) or $ amount.
Leverage: Adjust leverage (default: 10x).
Run It:
Use the Strategy Tester tab to backtest on your chosen asset and timeframe.
Watch the chart for blue/orange Bollinger Bands and the red trailing SL line.
Tips for Traders
Timeframes: Works on any timeframe, but test 1H or 4H for XRP—great balance of signals and noise.
Assets: Optimized for XRP, but tweak slValue and mult for other markets (e.g., tighter SL for low-volatility pairs).
Risk Management: Keep marginPercent low (5-10%) for volatile assets; adjust leverage based on your risk tolerance.
Visuals: The red stepped SL line shows only during trades—zoom in to see its tightening in action.
Visuals on the Chart
Blue Line: Upper Bollinger Band (trend entry for longs).
Orange Line: Lower Bollinger Band (trend entry for shorts).
Red Stepped Line: Trailing Stop-Loss (shifts tighter after the first profit target).
Order Labels: Short tags like "OL" (Open Long), "CS" (Close Short), "LSL" (Long Stop-Loss), etc., mark trades.
Disclaimer
Trading involves risk. This strategy is for educational and experimental use—backtest thoroughly and use at your own risk. Past performance doesn’t guarantee future results. Not financial advice—just a tool from traders, for traders.
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.
IBAC Strategy - ZygoraIBAC - Intrinsic Binary Averaging based Contrarian
A contrarian scalping strategy in the futures market, designed to stabilize market efficiency by capitalizing on price reversals. The strategy has no stop loss, instead employing a cascading approach—adding to the position size each time the price moves in the wrong direction—and closes the full position when the target profit is reached. Without delving into intricate details, the strategy adheres to the following basic rules:
Position sizing is determined by a customized indicator based on cumulative reversal probability, which also contributes to identifying the signal’s direction.
Direction is determined by the Moving Average: price above the Moving Average signals a Short position, while price below it signals a Long position.
The threshold for entries and exits is adjusted based on the range between extremes (highest high minus lowest low) over the past 100 historical bars.
The next limit entry is placed at a distance equal to the threshold length below (for Long) or above (for Short) the current average price.
The next target profit is set at a distance equal to the threshold length above (for Long) or below (for Short) the current average price.
A signal is triggered when there is a sudden price movement detected by the RSI (Relative Strength Index).
When a signal is identified, the strategy starts with a risk-reward ratio (RR) of 1:1. However, the RR worsens as the cascading steps—referred to as inventory I—increase, because the average entry price shifts unfavorably with each new position added. To mitigate the risk of liquidation, the strategy aims to hold a smaller inventory amount over time. This is achieved by using a multiple threshold multiplier: when a specified inventory limit is reached, the threshold for the next entry increases, and the threshold for the next target profit decreases. As a result, with higher inventory levels, the strategy accepts a lower RR but increases the likelihood of hitting the target profit.
The target profit is always set above the average entry price (for Long) or below it (for Short), ensuring that the strategy eventually closes at a profit. This leads to a 100% win rate but comes with relatively high drawdowns due to the absence of a stop loss and the cascading nature of the positions. The strategy performs best in a consolidation market in 1 minute timeframe, where price tends to oscillate within a range, allowing the contrarian approach to capitalize on reversals. The strategy’s name is derived from its customized indicator for position sizing, which leverages cumulative reversal probability to optimize position sizes and assist in determining the signal’s direction.
