DI/ADX Trend Strategy | (1-Min Scalping)Strategy Overview
This is an experimental 1-minute trend-following strategy combining DI+/DI-, ADX, RSI, MACD, VWAP, and EMA filters with a time-based exit. It aims to catch strong directional moves while strictly managing risk.
Indicator Components
• DI+/DI- + ADX – Trend direction + strength filter
• RSI (14) – Momentum confirmation (RSI > 55 or < 45)
• MACD Histogram – Detects directional momentum shifts
• Candle Body % Filter – Screens for strong commitment candles
• EMA 600 / 2400 – Long-term trend alignment
• Weekly VWAP – Entry only when price is above/below VWAP
• Trade Limit – Max 2 trades per direction per VWAP cycle
• Time-Based Stop – 0.50% SL, 3.75% TP, 12h (720 bars) time stop
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• Price > VWAP
• EMA600 > EMA2400
• Within 25 bars of EMA crossover
• Max 2 long trades before VWAP resets
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• Price < VWAP
• EMA2400 > EMA600
• Within 25 bars of EMA crossover
• Max 2 short trades before VWAP resets
Exit Logic
• Stop Loss: 0.50%
• Take Profit: 3.75% (7.5R)
• Time Stop: 720 bars (~12 hours on 1m chart)
• Each trade exits independently
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.10%
• Timeframe: 1-minute
• Tested on: BTCUSDT, ETHUSDT
• Pyramiding: Up to 5 positions allowed
• VWAP resets trade counter to reduce overtrading
Alerts
• Buy / Sell signal
• Trade Opened / Closed
• SL/TP triggered
⚠️ Notes
• Early-stage strategy — entry count varies by trend conditions
• Shared for educational use and community feedback
• Please forward-test before using live
• Open-source — contributions and suggestions welcome!
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate independently before trading live.
Cerca negli script per "take profit"
Intraday Momentum StrategyExplanation of the StrategyIndicators:Fast and Slow EMA: A crossover of the 9-period EMA over the 21-period EMA signals a bullish trend (long entry), while a crossunder signals a bearish trend (short entry).
RSI: Ensures entries are not in overbought (RSI > 70) or oversold (RSI < 30) conditions to avoid reversals.
VWAP: Acts as a dynamic support/resistance. Long entries require the price to be above VWAP, and short entries require it to be below.
Trading Session:The strategy only trades during a user-defined session (e.g., 9:30 AM to 3:45 PM, typical for US markets).
All positions are closed at the session end to avoid overnight risk.
Risk Management:Stop Loss: 1% below/above the entry price for long/short positions.
Take Profit: 2% above/below the entry price for long/short positions.
These can be adjusted via inputs for optimization.
Position Sizing:Fixed lot size of 1 for simplicity. Adjust based on your account size during backtesting.
US Index First 30m Candle Strategy (10m Chart)Strategy Description for Publishing
Title: US Index First 30-Minute Candle Strategy (10m Chart)
Overview:
This Pine Script implements a trading strategy designed to capitalize on price movements within the first 30 minutes of the U.S. stock market opening. It is specifically tailored for use on a 15-minute chart and is optimized for trading U.S. indices during regular market hours.
Features:
Session Time Configuration: The strategy operates within the U.S. market hours, specifically from 9:30 AM to 4:00 PM (Eastern Time).
First 30-Minute Candle Aggregation: The script identifies the high and low of the first 30-minute candle, which is considered a critical time frame for market momentum.
Single Trade Per Day: To minimize risk, the strategy is designed to execute only one trade per day based on the established range of the first 30 minutes.
Dynamic Trade Conditions: Buy and sell signals are generated when the price breaks above the high or below the low of the first 30-minute candle, with defined stop-loss and take-profit levels based on a customizable risk-reward ratio.
How It Works:
Initialization:
At the start of each trading day, the script resets the high and low values for the first 30 minutes.
Range Locking: After the first 30 minutes, the high and low values are locked, allowing for trade entries based on these levels.
Trade Execution:
Long Entry: Triggered when the price moves above the locked high.
Short Entry: Triggered when the price drops below the locked low.
Risk Management: Each trade comes with a stop-loss and take-profit mechanism to manage potential losses and secure profits.
Visuals:
The script also plots the locked high and low levels on the chart, providing a visual reference for traders.
Conclusion:
This strategy leverages the volatility often seen in the first 30 minutes of trading, aiming to capture significant price movements while maintaining a disciplined trading approach. It is suitable for traders looking to implement a systematic strategy based on early market behavior.
Usage:
To use this strategy, simply add the script to your TradingView chart, set your desired parameters, and monitor for trade signals during the specified market hours. Adjust the risk-reward ratio as needed to align with your trading style.
KusKus Starlight Strategy📌 Gabriel's KusKus Starlight Strategy – Adaptive Volume-Based Momentum System
Description:
Gabriel’s KusKus Starlight Strategy is a high-precision, volume-driven trading system designed for short- to medium-term intraday setups. By combining Cumulative Volume Delta (CVD) with Fisher Transform logic, Z-Score anomaly detection, and adaptive moving averages (like Jurik MA and Super Smoother), the strategy seeks to capture early trend shifts, continuation breakouts, and statistically favorable reversals.
🧠 How It Works
CVD-Based Fisher Oscillator
Transforms volume delta imbalances into clean trend signals using a Fisher Transform with dual-stage smoothing.
Jurik Signal Line & Super Smoother
Provides confirmation filters that reduce whipsaw trades by identifying prevailing trend direction.
Z-Score & Velocity Boosters
Highlight when momentum is accelerating with statistical outliers, improving early entry timing.
ATR-Driven Trade Management
All entries use dynamically calculated Stop Loss and Take Profit levels based on ATR, with optional hour-specific overrides.
🎯 Strategy Entry Conditions
🔼 Long Entry:
A long trade is entered when all the following are true:
Fisher (smoothedFish) crosses above 0
Z-Score (ZKusKus) is rising or Z-Score velocity is rising
Fisher is above the Jurik MA (signal)
Price (src) is above the Super Smoother MA (ma)
Time filter is allowed (optional setting)
🔽 Short Entry:
A short trade is entered when all the following are true:
Fisher (smoothedFish) crosses below 0
Z-Score (ZKusKus) is falling or Z-Score velocity is rising
Fisher is still above the Jurik MA (signal) (anticipating exhaustion)
Price (src) is below the Super Smoother MA (ma)
Time filter is allowed (optional setting)
📤 Strategy Exit Conditions
Take Profit (TP) and Stop Loss (SL) levels are based on the ATR multiplied by dynamic multipliers.
Both TP and SL can be adjusted per hour using tp_hour_* and risk_hour_* settings to reflect optimal market behavior during different sessions.
⏰ Smart Hour-Based Filters
Use include Hours to restrict trading to 3 specific hours (e.g., 7, 8, 9). Each hour has its own:
Risk % Allocation
TP Multiplier
This adds fine-tuned control over position sizing and target reachability.
📈 Recommended Timeframes:
Optimized for 30-minute ~ 1 Hour charts, but adaptable to 1m–15m with parameter tuning.
Use hourly filters to target only statistically profitable hours, London ~ New York Afterhours.
📌 Ideal Use Case:
For traders looking to fade weak volume reversals or ride volume-supported breakouts with smart, auto-adjusting position sizing—this strategy offers a refined and flexible framework grounded in real-time order flow behavior.
The Frodo Bot🧙♂️ The Frodo Bot — Advanced Scalping Strategy
The Frodo Bot is a precision-engineered scalping strategy that combines smoothed price action analysis with intelligent risk management systems. Designed for active traders seeking consistent performance during specific market sessions, this strategy excels in capturing short-term momentum while maintaining strict risk controls.
⚡ Core Features:
Smoothed Price Analysis : Utilizes advanced smoothing techniques to filter market noise and identify clean directional moves
Session-Based Trading : Operates within user-defined trading sessions to target optimal market conditions and liquidity
Adaptive Position Sizing : Implements intelligent contract sizing that adjusts based on recent performance for optimized capital allocation
Multi-Layer Risk Management : Features stop loss, take profit, and trailing stop mechanisms for comprehensive trade protection
Daily Trade Limits : Built-in safeguards to prevent overtrading and maintain disciplined execution
🎯 Strategy Highlights:
The Frodo Bot specializes in identifying high-probability momentum shifts using proprietary smoothing algorithms. It automatically manages position sizing and implements trailing stops to lock in profits while limiting downside risk. The strategy is particularly effective during active market sessions where volume and volatility create optimal trading conditions.
🔧 Customizable Parameters:
Flexible take profit and stop loss settings (tick-based precision)
Adjustable trading session windows for different markets
Configurable position sizing and risk management rules
Customizable daily trade limits and trailing stop parameters
Adaptive contract sizing for various account sizes
💼 Ideal For:
Scalpers targeting short-term price movements
Futures traders requiring tick-based precision
Active traders focusing on specific market sessions
Those seeking systematic risk management approaches
Traders wanting automated position sizing strategies
📊 Advanced Risk Controls:
Intelligent trailing stop system for profit protection
Dynamic position sizing based on recent performance
Session filtering to avoid low-liquidity periods
Daily trade limits to prevent overexposure
Tick-based calculations for futures market precision
⏰ Session Optimization:
The strategy includes timezone-aware session filtering, allowing you to target specific market hours when your chosen instruments typically exhibit the best trading characteristics and liquidity conditions.
Important: This strategy includes position sizing adjustments based on performance. Always backtest thoroughly and understand the risk implications before live trading. Futures trading involves substantial risk of loss.
Aroon, Velocity & RMS Volume Strategy📈 Strategy Name:
Aroon, Velocity & RMS Volume Strategy
By GabrielAmadeusLau
🧠 Strategy Overview
This strategy is a hybrid momentum-trend model designed to trade directional breakouts using Aroon Oscillator crossovers, volume acceleration (velocity), and trend confirmation via a Super Smoother filter. Trade entries are filtered by custom time windows, and position sizing is dynamically calculated using ATR-based risk parameters.
🧩 Core Components
🔶 1. Aroon Oscillator
Detects breakout points using the relative position of recent highs/lows.
Aroon Up > Aroon Down triggers long setups; the opposite for short.
A baseline shift (-50) centers the Aroon plots for symmetry.
📉 2. Super Smoother Trend Filter
A zero-lag digital filter (2-pole smoother) applied to price.
Acts as a directional bias confirmation:
Price must be above the smoother for longs.
Price must be below for shorts.
📊 3. Velocity of RMS Volume
Measures the rate of change of volume, enhanced with RMS normalization and bandpass filtering.
Entries are only taken when volume velocity is rising, indicating increasing market activity in the trade direction.
⚙️ Entry Conditions
✅ Long Entry
Aroon Up crosses above Aroon Down
Price is above the Super Smoother
Volume velocity is rising
Current hour is not excluded
✅ Short Entry
Aroon Down crosses above Aroon Up
Price is below the Super Smoother
Volume velocity is rising
Current hour is not excluded
🔒 Risk Management & Position Sizing
ATR-Based Stop Loss & Take Profit:
SL = entry price ± ATR × sl_mult
TP = entry price ± ATR × tp_mult
Fixed Dollar Risk per Trade ($):
Position size is auto-calculated using:
units
=
⌊
User Risk
Stop Distance
⌋
units=⌊
Stop Distance
User Risk
⌋
🕐 Time Filtering
User-defined option to exclude up to three hours from trading (e.g., during low-liquidity or poor-performance times).
Controlled via:
excludeHour toggle
excludeHour1, excludeHour2, excludeHour3
📺 Visuals and Plots
Aroon Up / Down: shifted to oscillate around 0 for visual clarity.
Super Smoother: thick red trend line over price.
Velocity: dynamically shaded area chart (teal = increasing, red = decreasing).
🧠 Advanced Features (Behind-the-Scenes)
Includes modular filters and custom smoothing techniques for expansion:
Jurik MA, Butterworth HP, Laguerre Filter, Tillson T3, Hann FIR, RMS Scaling
Modular ma() and velocity() functions enable future extension and dynamic experimentation.
✅ Strengths
Combines trend, momentum, and volume in a single signal framework.
Employs robust digital signal processing filters for noise reduction.
Custom position sizing + time filtering add risk control and flexibility.
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.
FAFA - Optimize v2FAFA - Optimize v2 Strategy
FAFA - Optimize v2 is a dynamic trading strategy that operates using Inverse Fisher RSI signals derived from a higher timeframe. By applying the inverse Fisher transform to the RSI indicator, it generates clearer and faster signals. The strategy can execute buy, sell, or both types of trades based on user preferences.
From a risk management perspective, the strategy features three-tiered take profit levels (TP1, TP2, TP3) and a flexible stop loss (SL) mechanism. This allows partial profits to be realized early while letting remaining positions benefit from larger market moves.
It also provides a handy performance panel that tracks essential metrics in real-time, including total trades, winning and losing trades, trades closed by stop loss, win rate, and net profit/loss.
In summary, FAFA - Optimize v2 aims to open reliable market positions with advanced risk controls to ensure sustainable performance.
Praetor Sentinel by Traddy📈 Praetor Sentinel by Traddy – Strategy Description
Use this strategy on the 4H chart on Bybit – symbol: BTCUSDT.P
Join our Telegram to get presets, updates, and support – new strategies dropping regularly!
🧠 What does it do?
Praetor Sentinel is a powerful trend-following strategy that detects strong bullish or bearish trends and automatically enters trades with smart risk management. It’s designed to:
Enter trends early with confirmation
Protect your capital with smart stops
Let your profits run with adaptive trailing
Perfect for swing traders on BTC.
✅ When does it enter trades?
It only enters trades if everything aligns:
✅ Ripster EMA Cloud – Confirms local short/long-term trend
✅ Trader XO EMA Cross – Confirms momentum with a fast/slow crossover
✅ ADX Filter – Filters out weak trends (must be strong enough)
✅ Higher Timeframe Filter (optional) – Adds extra confluence from a larger timeframe
Buy when:
Short EMAs are above long EMAs (both clouds)
Trader XO shows bullish crossover
ADX confirms trend strength
Price is above higher timeframe MA (optional)
Sell when:
All the above are reversed
⏰ Time & Session Filters
You can restrict trading to:
📅 Certain days of the week
🕰 Specific sessions like NY or London
📆 A date range, so you can test performance over specific periods
🛡️ Risk Management
You don’t need to do anything. This is built in:
🧠 ATR-based Adaptive Trailing Stops & Take-Profit
Automatically adjust based on market volatility
Bigger moves = wider room for price to breathe
Tighter markets = faster protection
💸 Break-Even Logic
Once your trade is in profit by a certain % (default 0.5%), it moves stop to entry – no loss, no stress.
🔒 Fixed Stop-Loss
As a backup, you can define a hard stop-loss % (e.g. 1%) for every trade
📊 Position Size & Leverage
Set how much of your equity to use (e.g. 100%)
Set leverage multiplier (e.g. 1x, 5x, 10x)
This strategy automatically calculates your position size for every trade.
🤖 Automation (3Commas / Webhook Ready)
You can fully automate this strategy using platforms like 3Commas:
Pre-built entry and exit messages
Just copy/paste them into your bot
📉 What you’ll see on the chart
Green labels = Long entries (BUY)
Red labels = Short entries (SELL)
Ripster and XO EMAs are drawn so you can see the logic visually
Entry/exit prices follow real logic – not idealized fantasy candles
🧪 Summary Table
Feature What It Does
🔍 Trend Detection Ripster EMAs + Trader XO + ADX
🧠 Smart Exits Adaptive ATR-based trailing + break-even
⚙️ Fully Automated Built-in alerts for bot trading
⏱️ Time Filters Control when trades happen
⬆️ HTF Filter (optional) Confirms with larger timeframe trends
⚠️ TL;DR
This is a swing trading beast built for BTC on the 4H chart.
It filters out chop, catches real trends, and manages risk like a pro.
Set it up, automate it, and let it ride.
→ Strategy: “Praetor Sentinel by Traddy”
→ Timeframe: 4H
→ Symbol: BTCUSDT.P on Bybit
Flecix IndicatorFlecix Indicator is a highly profitable indicator. Use it on a 15-minute time frame. Always buy or sell at the entry Point and always use Stop loss and take profit properly.
Note: Forex Trading is High Risk Business.
This Indicator only for educational purposes.
Trade on your own Risk. We are not responsible for any loss.
For More Information,
Please Contact Us:
www.syedalikhan.com
Flecix IndicatorFlecix Indicator is a highly profitable indicator. Use it on a 15-minute time frame. Always buy or sell at the entry Point and always use Stop loss and take profit properly.
Note: Forex Trading is High Risk Business.
This Indicator Is Only For educational purposes.
Trade on your own Risk. We are not responsible for any loss.
For More Information,
Please Contact Us:
www.syedalikhan.com
Flecix IndicatorFLECIX INDICATOR is a very profitable indicator. Use it on 15-minute time frame. Always buy or sell on the entry Point and use Stop loss and take profit properly.
For More Information, Please Contact Us:
www.syedalikhan.com
ETH-BCH Strategy-V0 (Powered by BCH)ETH-BCH Strategy – Cross-Asset Divergence-Based Momentum Strategy
(Optimized for 2H ETHUSDT)
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Strategy Overview
This strategy aims to identify long trade opportunities based on cross-asset divergence among Ethereum (ETH) and Bitcoin Cash (BCH). By integrating momentum filters, volatility bands, volume signals, and timing logic, it captures medium-term price swings while maintaining strict risk controls.
________________________________________
📌 Strategy Logic Overview
Entry Conditions:
• Cross-Asset Momentum:
Enter when BCH outperforms ETH over the last bar.
• Volume Filter:
BCH trading volume must exceed 135% of its 20-period average, indicating genuine market interest.
• Volatility Filter:
ETH price should be below 110% of the lower Bollinger Band boundary (20 periods, 2 standard deviations), signaling oversold conditions.
• RSI & MACD Confirmation:
ETH RSI < 70 (not overbought) and BCH MACD line above its signal line (supporting upward trend).
• Optional Entry Boosters:
Entry signal is reinforced if ETH has fallen more than -20% in the past 48 hours or -25% in the past 72 hours.
• Timing Constraint:
Entry only allowed after at least 1 bar has passed since the last sell.
Exit Conditions:
• Take Profit:
Exit when ETH price rises 30% above the entry price.
• Trailing Stop Loss:
Exit if ETH price drops 6% from the highest point reached after entry.
• Cross-Asset Reversal:
Exit triggered when BTC outperforms BCH by a threshold calculated as ETH short-term/long-term volume ratio × 2.5.
• Timing Constraint:
Exit only allowed after 12 bars have passed since the last buy.
________________________________________
📊 Indicators Used
Category Indicators
Volatility Bollinger Bands (20 periods, 2σ) on ETH close
Momentum RSI(14) on ETH, MACD(12,26,9) on BCH
Volume BCH volume compared to 20-period SMA (threshold at 1.35×)
Divergence Percentage change comparison between ETH, BCH, and BTC closes (1-bar interval)
Volatility Ratio ETH volume short-term vs long-term average to modulate exit threshold
________________________________________
⚙️ Strategy Settings (Backtest)
Setting Value
Chart Symbol ETHUSDT
Timeframe 2 Hours
Position Size 10% of equity (default), also tested at 100% for comparison
Initial Capital $10,000
Commission 0.1%
Slippage 3 points
________________________________________
📈 Performance Summary (Backtested Jan 2023 – Jul 2025, ETHUSDT 2H)
Metric 10% Position Size (Default) 100% Position Size (Aggressive)
Net Profit 30.91% 1064.80%
Max Drawdown(MDD) 1.94% 19.38%
Profit Factor 5.1 4.6
Win Rate 61.54% (40/65) 61.54% (40/65)
Total Trades 65 65
• The 10% position sizing delivers strong risk-adjusted returns with low drawdown, suitable for conservative or institutional traders.
• The 100% sizing highlights the full alpha potential but with significantly higher drawdown risk.
• Both maintain consistent win rate and profit factor, evidencing robustness.
________________________________________
💡 Additional Notes and Usage Suggestions
• The strategy combines cross-asset signals with volatility and momentum validations to reduce false entries.
• Enforces cooldown periods between trades to avoid overtrading.
• Uses 2-hour candles for main logic and 5-minute data for more precise entry and exit pricing.
• Well-suited for traders who prioritize timing over blind holding and want to harness the interplay between ETH, BCH, and BTC.
• Can be integrated into diversified portfolios or as part of rotational trading systems.
• Ideal for advanced users looking to enhance ETH exposure with dynamic timing signals.
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⚠️ Disclaimer
This strategy is intended for educational and research purposes only. All performance figures are based on historical backtests and do not guarantee future results. Trading involves risk; use appropriate risk management.
Strategy with DI+/DI-, ADX, RSI, MACD, EMA + Time Stop [EXP. 1]Strategy Overview
This is an experimental trend-following strategy combining directional movement indicators, momentum filters, and time-based exits. Built for low timeframes like BTCUSDT 5m, it aims to detect clean directional setups while managing risk tightly.
Indicator Components
• DI+/DI- + ADX – Confirms trend direction and strength
• RSI (14) – Momentum filter (entries only if RSI > 55 or < 45)
• MACD Histogram – Confirms momentum shift in signal direction
• Candle Body % Filter – Screens for strong price commitment bars
• EMA 600 & EMA 2400 – Defines long-term trend alignment
• Time-Based Stop – Closes trade if it doesn’t move 0.75% in 85 bars
• Reward:Risk – 1% stop-loss, 7.5:1 reward-to-risk
• One Trade per EMA Cross – Only trades first valid signal per trend shift
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• EMA600 > EMA2400
• Occurs within 25 bars of an EMA crossover
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• EMA2400 > EMA600
• Occurs within 25 bars of an EMA crossover
Exit Logic
• Stop-loss: 1% from entry
• Take-profit: 7.5x risk
• Time-stop: Trade closed if price doesn’t move 0.75% in 85 bars
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.04% per trade
• Timeframe: 5-minute
• Tested on: BTCUSDT
• ⚠️ Early-stage strategy — trade count may be low depending on market context. This is shared for educational use and community feedback.
Notes
• This script is experimental and educational
• Please forward-test in a demo environment before using it live
• Open-source for learning and improvement — contributions welcome!
Divergence Strategy [Trendoscope®]🎲 Overview
The Divergence Strategy is a sophisticated TradingView strategy that enhances the Divergence Screener by adding automated trade signal generation, risk management, and trade visualization. It leverages the screener’s robust divergence detection to identify bullish, bearish, regular, and hidden divergences, then executes trades with precise entry, stop-loss, and take-profit levels. Designed for traders seeking automated trading solutions, this strategy offers customizable trade parameters and visual feedback to optimize performance across various markets and timeframes.
For core divergence detection features, including oscillator options, trend detection methods, zigzag pivot analysis, and visualization, refer to the Divergence Screener documentation. This description focuses on the strategy-specific enhancements for automated trading and risk management.
🎲 Strategy Features
🎯Automated Trade Signal Generation
Trade Direction Control : Restrict trades to long-only or short-only to align with market bias or strategy goals, preventing conflicting orders.
Divergence Type Selection : Choose to trade regular divergences (bullish/bearish), hidden divergences, or both, targeting reversals or trend continuations.
Entry Type Options :
Cautious : Enters conservatively at pivot points and exits quickly to minimize risk exposure.
Confident : Enters aggressively at the latest price and holds longer to capture larger moves.
Mixed : Combines conservative entries with delayed exits for a balanced approach.
Market vs. Stop Orders: Opt for market orders for instant execution or stop orders for precise price entry.
🎯 Enhanced Risk Management
Risk/Reward Ratio : Define a risk-reward ratio (default: 2.0) to set profit targets relative to stop-loss levels, ensuring consistent trade sizing.
Bracket Orders : Trades include entry, stop-loss, and take-profit levels calculated from divergence pivot points, tailored to the entry type and risk-reward settings.
Stop-Loss Placement : Stops are strategically set (e.g., at recent pivot or last price point) based on entry type, balancing risk and trade validity.
Order Cancellation : Optionally cancel pending orders when a divergence is broken (e.g., price moves past the pivot in the wrong direction), reducing invalid trades. This feature is toggleable for flexibility.
🎯 Trade Visualization
Target and Stop Boxes : Displays take-profit (lime) and stop-loss (orange) levels as boxes on the price chart, extending 10 bars forward for clear visibility.
Dynamic Trade Updates : Trade visualizations are added, updated, or removed as trades are executed, canceled, or invalidated, ensuring accurate feedback.
Overlay Integration : Trade levels overlay the price chart, complementing the screener’s oscillator-based divergence lines and labels.
🎯 Strategy Default Configuration
Capital and Sizing : Set initial capital (default: $1,000,000) and position size (default: 20% of equity) for realistic backtesting.
Pyramiding : Allows up to 4 concurrent trades, enabling multiple divergence-based entries in trending markets.
Commission and Margin : Accounts for commission (default: 0.01%) and margin (100% for long/short) to reflect trading costs.
Performance Optimization : Processes up to 5,000 bars dynamically, balancing historical analysis and real-time execution.
🎲 Inputs and Configuration
🎯Trade Settings
Direction : Select Long or Short (default: Long).
Divergence : Trade Regular, Hidden, or Both divergence types (default: Both).
Entry/Exit Type : Choose Cautious, Confident, or Mixed (default: Cautious).
Risk/Reward : Set the risk-reward ratio for profit targets (default: 2.0).
Use Market Order : Enable market orders for immediate entry (default: false, uses limit orders).
Cancel On Break : Cancel pending orders when divergence is broken (default: true).
🎯Inherited Settings
The strategy inherits all inputs from the Divergence Screener, including:
Oscillator Settings : Oscillator type (e.g., RSI, CCI), length, and external oscillator option.
Trend Settings : Trend detection method (Zigzag, MA Difference, External), MA type, and length.
Zigzag Settings : Zigzag length (fixed repaint = true).
🎲 Entry/Exit Types for Divergence Scenarios
The Divergence Strategy offers three Entry/Exit Type options—Cautious, Confident, and Mixed—which determine how trades are entered and exited based on divergence pivot points. This section explains how these settings apply to different divergence scenarios, with placeholders for screenshots to illustrate each case.
The divergence pattern forms after 3 pivots. The stop and entry levels are formed on one of these levels based on Entry/Exit types.
🎯Bullish Divergence (Reversal)
A bullish divergence occurs when price forms a lower low, but the oscillator forms a higher low, signaling a potential upward reversal.
💎 Cautious:
Entry : At the pivot high point for a conservative entry.
Exit : Stop-loss at the last pivot point (previous low that is higher than the current pivot low); take-profit at risk-reward ratio. Canceled if price breaks below the pivot (if Cancel On Break is enabled).
Behavior : Enters after confirmation and exits quickly to limit downside risk.
💎Confident:
Entry : At the last pivot low, (previous low which is higher than the current pivot low) for an aggressive entry.
Exit : Stop-loss at recent pivot low, which is the lowest point; take-profit at risk-reward ratio. Canceled if price breaks below the pivot. (lazy exit)
Behavior : Enters early to capture trend continuation, holding longer for gains.
💎Mixed:
Entry : At the pivot high point (conservative).
Exit : Stop-loss at the recent pivot point that has resulted in lower low (lazy exit). Canceled if price breaks below the pivot.
Behavior : Balances entry caution with extended holding for trend continuation.
🎯Bearish Divergence (Reversal)
A bearish divergence occurs when price forms a higher high, but the oscillator forms a lower high, indicating a potential downward reversal.
💎Cautious:
Entry : At the pivot low point (lower high) for a conservative short entry.
Exit : Stop-loss at the previous pivot high point (previous high); take-profit at risk-reward ratio. Canceled if price breaks above the pivot (if Cancel On Break is enabled).
Behavior : Enters conservatively and exits quickly to minimize risk.
💎Confident:
Entry : At the last price point (previous high) for an aggressive short entry.
Exit : Stop-loss at the pivot point; take-profit at risk-reward ratio. Canceled if price breaks above the pivot.
Behavior : Enters early to maximize trend continuation, holding longer.
💎Mixed:
Entry : At the previous piot high point (conservative).
Exit : Stop-loss at the last price point (delayed exit). Canceled if price breaks above the pivot.
Behavior : Combines conservative entry with extended holding for downtrend gains.
🎯Bullish Hidden Divergence (Continuation)
A bullish hidden divergence occurs when price forms a higher low, but the oscillator forms a lower low, suggesting uptrend continuation. In case of Hidden bullish divergence, b]Entry is always on the previous pivot high (unless it is a market order)
💎Cautious:
Exit : Stop-loss at the recent pivot low point (higher than previous pivot low); take-profit at risk-reward ratio. Canceled if price breaks below the pivot (if Cancel On Break is enabled).
Behavior : Enters after confirmation and exits quickly to limit downside risk.
💎Confident:
Exit : Stop-loss at previous pivot low, which is the lowest point; take-profit at risk-reward ratio. Canceled if price breaks below the pivot. (lazy exit)
Behavior : Enters early to capture trend continuation, holding longer for gains.
🎯Bearish Hidden Divergence (Continuation)
A bearish hidden divergence occurs when price forms a lower high, but the oscillator forms a higher high, suggesting downtrend continuation. In case of Hidden Bearish divergence, b]Entry is always on the previous pivot low (unless it is a market order)
💎Cautious:
Exit : Stop-loss at the latest pivot high point (which is a lower high); take-profit at risk-reward ratio. Canceled if price breaks above the pivot (if Cancel On Break is enabled).
Behavior : Enters conservatively and exits quickly to minimize risk.
💎Confident/Mixed:
Exit : Stop-loss at the previous pivot high point; take-profit at risk-reward ratio. Canceled if price breaks above the pivot.
Behavior : Uses the late exit point to hold longer.
🎲 Usage Instructions
🎯Add to Chart:
Add the Divergence Strategy to your TradingView chart.
The oscillator and divergence signals appear in a separate pane, with trade levels (target/stop boxes) overlaid on the price chart.
🎯Configure Settings:
Adjust trade settings (direction, divergence type, entry type, risk-reward, market orders, cancel on break).
Modify inherited Divergence Screener settings (oscillator, trend method, zigzag length) as needed.
Enable/disable alerts for divergence notifications.
🎯Interpret Signals:
Long Trades: Triggered on bullish or bullish hidden divergences (if allowed), shown with green/lime lines and labels.
Short Trades: Triggered on bearish or bearish hidden divergences (if allowed), shown with red/orange lines and labels.
Monitor lime (target) and orange (stop) boxes for trade levels.
Review strategy performance metrics (e.g., profit/loss, win rate) in the strategy tester.
🎯Backtest and Optimize:
Use TradingView’s strategy tester to evaluate performance on historical data.
Fine-tune risk-reward, entry type, position sizing, and cancellation settings to suit your market and timeframe.
For questions, suggestions, or support, contact Trendoscope via TradingView or official support channels. Stay tuned for updates and enhancements to the Divergence Strategy!
5-Indicator Swing StrategyCustom 5-Indicator Swing Strategy for 4H Chart
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Key Features:
1. Price Uptrend Detection
Uses 50-period EMA as trend filter
Only takes long positions when price is above EMA
2. RSI Momentum Confirmation
RSI must be above 40 and rising (3-bar confirmation)
Includes overbought exit at RSI > 70
3. MACD Bullish Crossover
Detects when MACD line crosses above signal line
Uses standard 12/26/9 settings (customizable)
4. Volume Spike Detection
Identifies volume spikes 1.5x above 20-period average
Confirms breakout strength
5. Fibonacci Retracement Levels
Calculates dynamic Fibonacci levels from recent swing high/low
Enters when price is near 38.2% to 61.8% support levels
Additional Features:
Risk Management: Stop Loss: 2 x ATR below entry price / Take Profit: 3 x ATR above entry price
ATR Length: 14 periods
Visual Indicators: Clear entry/exit signals with shapes
Information Table: Real-time status of all 5 conditions
Multi-Panel Display: RSI, MACD, and Volume in separate panels
Customizable Parameters: All inputs can be adjusted
Alert System: Built-in alerts for entry and exit signals
Strategi FVG 09:31 (Pro)FVG 09:31 Strategy (Pro)
In short, this is an automated trading strategy (bot) for TradingView designed to execute buy or sell orders based on a Fair Value Gap (FVG) pattern. The strategy is highly specific, as it only triggers on the 1-minute timeframe and looks for an FVG that forms precisely at 09:32 AM New York time.
Main Purpose of the Strategy
The primary goal of this script is to identify and capitalize on short-term price imbalances, known as Fair Value Gaps (FVGs). It operates during a specific, high-volatility window right after the U.S. stock market opens, often referred to by traders as the "Silver Bullet" session. By automating the detection and execution, it aims to trade these fleeting opportunities with precision.
How the Strategy Works
The strategy follows a clear, step-by-step logical flow on your chart.
1. Time & Timeframe Restriction
1-Minute Timeframe: The strategy is hard-coded to work only on the 1-minute (1m) chart. A warning label will appear on your chart if you apply it to any other timeframe.
Specific Time Window: The core logic activates only between 09:32 and 09:33 AM New York time. It searches for an FVG pattern formed by the three candles from 09:29, 09:30, and 09:31, with the pattern confirmation happening on the close of the 09:31 candle.
2. Fair Value Gap (FVG) Detection
An FVG is a three-candle pattern that signals a price imbalance.
Bullish FVG (Potential Buy): Occurs when the low of the first candle is higher than the high of the third candle. The space between these two prices is the FVG zone.
Bearish FVG (Potential Sell): Occurs when the high of the first candle is lower than the low of the third candle. The space between these two prices is the FVG zone.
If this pattern is detected at the target time, the strategy draws a colored box on the chart to visualize the FVG zone (aqua for bullish, fuchsia for bearish).
3. Entry Logic
The strategy provides two user-selectable methods for entering a trade:
Retracement (Immediate Entry): The strategy will open a position with a market order as soon as the price retraces back into the identified FVG zone.
For a Bullish FVG, a Long (buy) position is opened when the price drops to touch the upper boundary of the FVG.
For a Bearish FVG, a Short (sell) position is opened when the price rises to touch the lower boundary of the FVG.
Limit Order (Pending Entry): The strategy places a pending limit order at the edge of the FVG zone.
For a Bullish FVG, a Buy Limit order is placed at the upper boundary of the FVG.
For a Bearish FVG, a Sell Limit order is placed at the lower boundary of the FVG.
Order Expiration: If the limit order is not filled within a specified number of candles (default is 15), it is automatically canceled to avoid chasing a stale setup.
4. Exit Logic
Once a position is active, the strategy automatically manages the exit by setting a Take Profit (TP) and Stop Loss (SL) level. You can choose between two types:
Ticks (Fixed Points): You define a fixed profit target and loss limit in ticks (the smallest price movement). For example, a 200-tick TP and a 100-tick SL.
Last Swing (Dynamic Levels): The TP and SL are set dynamically based on the most recent swing high or swing low.
For a Long position: Take Profit is set at the last swing high; Stop Loss is at the last swing low.
For a Short position: Take Profit is set at the last swing low; Stop Loss is at the last swing high.
5. Daily Management
At the start of each new trading day, the script performs a reset. All variables, including any FVG data from the previous day, are cleared. This ensures the strategy only acts on fresh signals from the current day and cancels any pending orders from the day before.
Explanation of Settings (Inputs)
Here is what each user-configurable setting does:
Entry Type: Choose your preferred entry method: Retracement or Limit Order.
Order Expiration (Candles): Applies only to the Limit Order type. Sets how many candles an unfilled order will remain active before being canceled.
Stop Loss Type: Choose Ticks for a fixed-distance stop loss or Last Swing for a dynamic level.
Take Profit Type: Choose Ticks for a fixed-distance profit target or Last Swing for a dynamic level.
Pivot Lookback (SL/TP Swing): Defines how many candles the script looks back to identify the most recent swing high/low for the Last Swing SL/TP type.
Contract Size: The quantity or lot size for each trade.
Take Profit (in Ticks): The profit target distance if using the Ticks type.
Stop Loss (in Ticks): The maximum loss distance if using the Ticks type.
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545Strategy Overview
AlgoChadLin's BITCOIN H1 Breakout Strategy No.545 is a sophisticated breakout trading system designed for Bitcoin on the H1 timeframe. It integrates multiple volatility and price action indicators to identify high-probability breakout opportunities, aiming to capitalize on significant market movements.
Auther: @algochadlin
Strategy Logic
Breakout Confirmation: Utilizes a combination of Average True Range (ATR) and Bollinger Bands to identify periods of low volatility followed by sharp price movements.
Long: Initiated when the price breaks above the previous hour's upper Bollinger Band, with ATR confirming increased volatility.
Short: Triggered when the price breaks below the previous hour's lower Bollinger Band, with ATR indicating heightened volatility.
Parameters
Price Entry Multiplier: Adjusts the entry price relative to the breakout level.
Exit After Bars: Specifies the number of bars to hold the position before exiting.
Profit Target (%): Defines the percentage gain at which to take profit.
Stop Loss Coefficient: Multiplier for ATR to calculate stop-loss distance.
Trailing Stop Coefficients: Defines the trailing stop parameters.
Biggest Range Period: Determines the lookback period for identifying the largest price range.
Setup
Timeframe: 1-Hour (H1)
Asset: Bitcoin, also suitable for ETH
Timeshifter Triple Timeframe Strategy w/ SessionsOverview
The "Enhanced Timeshifter Triple Timeframe Strategy with Session Filtering" is a sophisticated trading strategy designed for the TradingView platform. It integrates multiple technical indicators across three different timeframes and allows traders to customize their trading Sessions. This strategy is ideal for traders who wish to leverage multi-timeframe analysis and session-based trading to enhance their trading decisions.
Features
Multi-Timeframe Analysis and direction:
Higher Timeframe: Set to a daily timeframe by default, providing a broader view of market trends.
Trading Timeframe: Automatically set to the current chart timeframe, ensuring alignment with the trader's primary analysis period.
Lower Timeframe: Set to a 15-minute timeframe by default, offering a granular view for precise entry and exit points.
Indicator Selection:
RMI (Relative Momentum Index): Combines RSI and MFI to gauge market momentum.
TWAP (Time Weighted Average Price): Provides an average price over a specified period, useful for identifying trends.
TEMA (Triple Exponential Moving Average): Reduces lag and smooths price data for trend identification.
DEMA (Double Exponential Moving Average): Similar to TEMA, it reduces lag and provides a smoother trend line.
MA (Moving Average): A simple moving average for basic trend analysis.
MFI (Money Flow Index): Measures the flow of money into and out of a security, useful for identifying overbought or oversold conditions.
VWMA (Volume Weighted Moving Average): Incorporates volume data into the moving average calculation.
PSAR (Parabolic SAR): Identifies potential reversals in price movement.
Session Filtering:
London Session: Trade during the London market hours (0800-1700 GMT+1).
New York Session: Trade during the New York market hours (0800-1700 GMT-5).
Tokyo Session: Trade during the Tokyo market hours (0900-1800 GMT+9).
Users can select one or multiple sessions to align trading with specific market hours.
Trade Direction:
Long: Only long trades are permitted.
Short: Only short trades are permitted.
Both: Both long and short trades are permitted, providing flexibility based on market conditions.
ADX Confirmation:
ADX (Average Directional Index): An optional filter to confirm the strength of a trend before entering a trade.
How to Use the Script
Setup:
Add the script to your TradingView chart.
Customize the input parameters according to your trading preferences and strategy requirements.
Indicator Selection:
Choose the primary indicator you wish to use for generating trading signals from the dropdown menu.
Enable or disable the ADX confirmation based on your preference for trend strength analysis.
Session Filtering:
Select the trading sessions you wish to trade in. You can choose one or multiple Sessions based on your trading strategy and market focus.
Trade Direction:
Set your preferred trade direction (Long, Short, or Both) to align with your market outlook and risk tolerance. You can use this feature to gauge the market and understand the possible directions.
Tips for Profitable and Safe Trading:
Recommended Timeframes Combination:
LT: 1m , CT: 5m, HT: 1H
LT: 1-5m , CT: 15m, HT: 4H
LT: 5-15m , CT: 4H, HT: 1W
Backtesting:
Always backtest the strategy on historical data to understand its performance under various market conditions.
Adjust the parameters based on backtesting results to optimize the strategy for your specific trading style.
Risk Management:
Use appropriate risk management techniques, such as setting stop-loss and take-profit levels, to protect your capital.
Avoid over-leveraging and ensure that you are trading within your risk tolerance.
Market Analysis:
Combine the script with other forms of market analysis, such as fundamental analysis or market sentiment, to make well-rounded trading decisions.
Stay informed about major economic events and news that could impact market volatility and trading sessions.
Continuous Monitoring:
Regularly monitor the strategy's performance and make adjustments as necessary.
Keep an eye on the results and settings for real-time statistics and ensure that the strategy aligns with current market conditions.
Education and Practice:
Continuously educate yourself on trading strategies and market dynamics.
Practice using the strategy in a demo account before applying it to live trading to gain confidence and understanding.
Zero Lag MACD + Kijun-sen + EOM StrategyThis strategy offers a robust approach to identifying high-probability trading opportunities in the fast-paced cryptocurrency markets, particularly on lower timeframes (e.g., 5-minute). It leverages the synergistic power of three distinct indicators to confirm entries, ensuring a disciplined approach to risk management.
Key Components:
Zero Lag MACD Enhanced Version 1.2: This core momentum indicator is used to identify precise shifts in trend and momentum, offering reduced lag compared to traditional MACD. Entry signals are filtered based on the histogram's position (below for buys, above for sells) to enhance signal reliability.
Kijun-sen (Ichimoku Cloud): Acting as a dynamic support/resistance and trend filter, the Kijun-sen line confirms the prevailing market direction. Long entries are confirmed when price is above Kijun-sen, and short entries when price is below.
Ease of Movement (EoM): This volume-based oscillator provides crucial confirmation of price movements by measuring the ease with which price changes. Positive EoM confirms buying pressure, while negative confirms selling pressure, adding an essential layer of validation to trade setups.
How it Works:
The strategy generates entry signals only when all three indicators align simultaneously:
For Long Entries: A Zero Lag MACD buy signal (crossover below histogram) must coincide with price trading above the Kijun-sen, and the Ease of Movement indicator being above its zero line.
For Short Entries: A Zero Lag MACD sell signal (crossover above histogram) must coincide with price trading below the Kijun-sen, and the Ease of Movement indicator being below its zero line.
Entries are executed at the open of the candle immediately following the signal confirmation.
Risk Management:
Disciplined risk management is paramount to this strategy:
Dynamic Stop-Loss: An Average True Range (ATR) based stop-loss is implemented, set at 2.5 times the current ATR. This adapts the stop-loss distance to market volatility, ensuring sensible risk sizing.
Fixed Take-Profit: A consistent Risk-to-Reward (R:R) ratio of 1:1.2 is applied for all trades, promoting stable profit realization.
Customization & Optimization:
The strategy is built with fully customizable input parameters for each indicator (MACD lengths, Kijun-sen period, ATR period, ATR multiplier, and Risk-to-Reward ratio). This allows users to fine-tune the strategy for different assets, timeframes, and market conditions, facilitating robust backtesting and optimization.
Disclaimer: Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational and informational purposes only. Always use proper risk management and conduct your own due diligence.
Pin Bar Reversal StrategyStrategy: Pin Bar Reversal with Trend Filter
One effective high-probability setup is a Pin Bar reversal in the direction of the larger trend. A pin bar is a candlestick with a tiny body and a long wick, signaling a sharp rejection of price
By itself, a pin bar often marks a potential reversal, but not all pin bars lead to profitable moves. To boost reliability, this strategy trades pin bars only when they align with the prevailing trend – for example, taking a bullish pin bar while the market is in an uptrend, or a bearish pin bar in a downtrend. The trend bias can be determined by a long-term moving average or higher timeframe analysis.
Why it works: In an uptrend, a bullish pin bar after a pullback often indicates that sellers tried to push price down but failed, and buyers are resuming control. Filtering for pin bars near key support or moving averages further improves odds of success. This aligns the entry with both a strong price pattern and the dominant market direction, yielding a higher win rate. The pin bar’s own structure provides natural levels for stop and target placement, keeping risk management straightforward.
Example Setup:
USDCHF - 4 Hour Chart
Trend SMA 12
Max Body - 34
Min Wick - 66
ATR -15
ATR Stop Loss Multiplier - 2.3
ATR Take Profit Multiplier - 2.9
Minimum ATR to Enter - 0.0025
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H)
🔍 How It Works, Step by Step
Detect the Trend (📈/📉)
Calculate two moving averages (100-period and 500-period), either EMA or SMA.
For longs, we require MA100 > MA500 (uptrend).
For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend).
Apply Momentum Filters (⚡️)
RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold.
ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional).
ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional).
Confirm Entry Conditions (✅)
Long Entry:
Price is above both MAs
Trend alignment & optional filters pass ✅
Short Entry:
Price is below both MAs and below the lower Bollinger Band
RSI is sufficiently oversold
Trend-blocker & ATR filter pass ✅
Position Sizing & Risk (💰)
Each trade uses 100 % of account equity by default.
One pyramid addition allowed, so you can scale in if the move continues.
Commission and slippage assumptions built in for realistic backtests.
Stops & Exits (🛑)
Long Stop-Loss: e.g. 3 % below entry.
Long Auto-Exit: If price falls back under the 500-period MA.
Short Stop-Loss: e.g. 3 % above entry.
Short Take-Profit: e.g. 4 % below entry.
🎨 Why It’s Powerful & Customizable
Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes.
Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more.
Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate!
Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance.
⚠️ Warning & Disclaimer
This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒
Good luck exploring and experimenting! 🚀📊
Ai BTC Signals Buy & Whales / Liquidation - Strategy [Ai Whales]Dear Trader,
The development involved professional analysts and incorporated AI to adapt signals to the modern, constantly changing, and highly volatile BTCUSD market, also taking into account the presence and actions of large institutional players — the so-called "Whales." The strategy allows you to instantly evaluate any configuration you set within the indicator and see the results reflected in professional performance metrics aligned with your chosen strategy.
The indicator displays several signals on the chart:
1) Buy signal (not sell signals)
2) Take profit line and price
3) Stop loss line and price
4) Manipulations & Liquidations observed in the market
5) Whale activity—buying in small, medium, and large amounts
The indicator does not repaint because it is based on showing signals only after the candle closes, so the calculations are true and not distorted.
Recommended pair: BTCUSD ; BTCUSDT ; BTCUSDTP and same.
The indicator can show R/R - 0.5:1 1:1 1:2 1:3 1:4
Recommended timeframes for use: from 4 hours up to 1 week, with the ideal being 1 day. However, you are free to experiment with other near timeframes.
Possible trading modes: spot or futures.
Some methods used in the calculations of the indicator:
- statistical patterns that have the ability to repeat in the future. Bitcoin cycles in different market phases that also have the ability to repeat and are included in the indicator,
- miners' capitulation and hashrate level are also taken into account by the indicator,
- candle volumes and their deltas are taken into account in the calculations,
- as well as other bases such as RSI and its divergence, the crossing of EMA of various configurations and etc.
**How the strategy calculates positions:**
A position opens at the Buy signal level and is fixed at the level of the thick green line, which serves as the primary take profit target. Pyramiding (adding to positions) can be enabled in the settings.
The size of each position is adjustable via the settings. Importantly, each signal creates its own take profit lines. When pyramiding is enabled, all positions are eventually closed at the nearest take profit level generated by any of the pyramiding signals. This approach minimizes potential losses if the price doesn’t reach the maximum take profit levels initially set; the strategy closes positions at the closest available take profit level. This conservative method for strategy reduces risk, although ideally, each position in the pyramid should be closed at an individual take-profit level, which would lead to even better results during deep backtesting.
The strategy includes alerts that can be configured based on your platform’s capabilities. Alerts trigger on the chart when "Buy" or "Whale" signals are detected.
**Settings Overview:**
- Inside the strategy: default platform options.
- Inside the indicato have some filters:
1) allows traders to choose display modes
2) position entries based on market phase—rising or falling
3) can also select whether to trade after manipulations and liquidations
4) can also select whether to trade after whale activity (small medium or big amounts of whales).
You can manually adjust take profit and stop loss levels via simple method selections, making these flexible yet user-friendly. The indicator offers three main styles:
- "Universal" (standard levels)
- "Aggressive"
- "Conservative"
**Performance and caveats:**
Deep Backtested from day one of Bitcoin’s listing on various exchanges under specific conditions (no liquidations, certain settings), the indicator has shown a maximum drawdown of about 5-15%, with final returns surpassing "buy and hold" more than 1000000% and WinRate 93-100% However, it’s crucial to understand that such spectacular past performance does not guarantee future results.
If you are serious about your investments, remember that geopolitical events, institutional shifts, or other unforeseen factors can significantly impact Bitcoin’s price—or even its existence. Unfortunately, AI has not yet learned to fully account for these macro conditions within its adaptive mechanisms.
Trade wisely, and use this powerful tool responsibly.
Best regards,
