거래량 지표 전략 (최종)"Leverage 100x, 10% of capital committed, 0.3% profit target, 0.2% stop loss."
레버리지 100배 이용, 10프로 자본금 투입, 0.3프로 수익 , 0.2프로 손해
"Volume Indicator Strategy (Final)" Summary
This Pine Script strategy is designed to integrate volume data from multiple cryptocurrency exchanges (Binance, Bitget, OKX, Bybit) across spot and futures markets. It then uses this consolidated volume data to identify volume spikes and apply an RSI filter to generate buy/sell signals.
Key Features and Logic:
Multi-Exchange/Asset Volume Consolidation:
Based on user settings, it fetches and sums up spot and perpetual futures volume data from Binance, Bitget, OKX, and Bybit.
It uses the request.security function to query volume data from each specified exchange.
NA (Not Available) data points are safely handled and treated as 0 to prevent calculation errors.
Volume Spike Detection:
It calculates the Simple Moving Average (avg_volume) of the combined_volume over a lookback period (default 70 bars).
A vol_7x condition is met when the combined_volume is equal to or greater than 7 times (vol_multiplier_7x, user-configurable) the avg_volume.
RSI Filter (Optional):
An RSI (Relative Strength Index) filter (enable_rsi_filter, user-configurable) can be applied in conjunction with the volume spike condition.
Short Entry Condition: vol_7x (volume spike) & price_up (current bar's close is higher than the previous close) & RSI is 73 or greater (if filter is enabled).
Long Entry Condition: vol_7x (volume spike) & price_down (current bar's close is lower than the previous close) & RSI is 28 or less (if filter is enabled).
Strategy Entry/Exit:
When entry conditions are met, the strategy enters a position at market price.
It includes a re-entry cooldown period (default 10 bars) to prevent immediate re-entry in the same direction.
Fixed Take Profit and Stop Loss percentages (0.3% Take Profit, 0.2% Stop Loss) are set to manage open positions.
Visualization:
The combined_volume is plotted as columns (plot.style_columns) in a lower pane, changing color when the 7x volume spike condition is met.
The avg_volume is plotted as a line.
Volume values on the plot (and intended for the Y-axis scale) are formatted using format=format.volume to display in K (thousands), M (millions), B (billions) units.
The chart background color changes to indicate RSI overbought (>= 70, red) and oversold (<= 30, blue) zones.
Labels are displayed on the chart for individual trade P/L (Profit/Loss), and an info panel shows the total P/L over a user-defined period.
This strategy aims to capture significant market movements by aggregating volume data across various sources and combining it with price action and momentum (RSI) analysis to generate automated trading signals.
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"거래량 지표 전략 (최종)" 요약
이 전략은 여러 암호화폐 거래소(바이낸스, 비트겟, OKX, 바이비트)의 현물(Spot) 및 선물(Futures) 거래량 데이터를 통합하여 사용하는 것을 핵심으로 합니다. 통합된 거래량 데이터를 바탕으로 거래량 급등을 포착하고 RSI 필터를 적용하여 매수/매도 신호를 생성하는 전략입니다.
주요 기능 및 로직:
다중 거래소/자산 거래량 통합:
사용자 설정에 따라 바이낸스, 비트겟, OKX, 바이비트의 현물 및 선물(무기한) 거래량을 개별적으로 가져와 합산합니다.
request.security 함수를 사용하여 각 거래소의 거래량 데이터를 요청합니다.
데이터가 없는 경우(NA)는 0으로 처리하여 계산 오류를 방지합니다.
거래량 급등 감지:
통합된 거래량(combined_volume)의 lookback 기간(기본 70봉) 이동평균(avg_volume)을 계산합니다.
combined_volume이 avg_volume의 7배(vol_multiplier_7x, 사용자 설정 가능) 이상으로 급등하면 vol_7x 조건을 만족합니다.
RSI 필터 (옵션):
거래량 급등 조건과 함께 RSI(상대 강도 지수) 필터(enable_rsi_filter, 사용자 설정 가능)를 적용할 수 있습니다.
매도(Short) 진입 조건: vol_7x (거래량 급등) & price_up (현재 봉 종가가 이전 봉보다 상승) & RSI가 73 이상일 때.
매수(Long) 진입 조건: vol_7x (거래량 급등) & price_down (현재 봉 종가가 이전 봉보다 하락) & RSI가 28 이하일 때.
전략 진입/청산:
위 진입 조건이 충족되면 시장가로 포지션에 진입합니다.
동일 방향으로 10봉 이내 재진입을 제한합니다.
고정 익절(Take Profit) 및 손절(Stop Loss) 비율(각각 0.3%, 0.2%)을 설정하여 포지션을 관리합니다.
시각화:
통합 거래량(combined_volume)은 차트 하단에 막대그래프(plot.style_columns)로 표시되며, 7배 급등 시 색상이 변경됩니다.
평균 거래량(avg_volume)은 선으로 표시됩니다.
거래량 값은 format=format.volume을 사용하여 K(천), M(백만), B(십억) 단위로 간소화되어 표시됩니다.
차트 배경색으로 RSI 과매수(70 이상, 빨간색) 및 과매도(30 이하, 파란색) 구간을 시각적으로 표시합니다.
개별 거래의 P/L(손익) 라벨과 지정된 기간 동안의 총 P/L을 차트 상단에 표시합니다.
이 전략은 여러 거래소의 거래량 데이터를 취합하여 시장의 전반적인 거래 활동을 파악하고, 이를 바탕으로 특정 패턴(거래량 급등 + 가격 방향 + RSI 필터)에 따라 매매 결정을 내리도록 설계되었습니다.
Indicators and strategies
ZYTX RSI SuperTrendZYTX RSI SuperTrend
ZYTX RSI + SuperTrend Strategy
The definitive integration of RSI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
ZYTX SuperTrend V1ZYTX SuperTrend V1 Indicator
Multi-strategy intelligent rebalancing with >95% win rate
Enables 24/7 automated trading
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
ADX GatekeeperADX Gatekeeper is an original strategy that combines three classic filters to improve trend-following accuracy and avoid choppy markets.
Combines RSI, OBV, and ADX filters to catch stronger trends and avoid sideways markets. RSI confirms momentum extremes, OBV confirms volume flow, and ADX filters low-trend conditions. Fully configurable for different market conditions.
RSI Filter: Avoids overbought/oversold traps by requiring RSI < 35 for longs and > 70 for shorts.
OBV Filter: Confirms directional volume with positive OBV changes for longs and negative for shorts.
ADX Filter: Filters out low-volatility sideways conditions by requiring ADX above a configurable threshold (default 45).
The combined conditions aim to identify stronger trend moves while avoiding choppy markets. All filters can be toggled on or off for flexibility.
Default risk: 10% of equity per trade. Users can adjust this.
Ideal for trend traders looking to filter noise and improve entry quality.
High Win Rate XAUUSD Strategy (EMA21 + RSI + Volume MA20)Buy Conditions:
Price above EMA 21
EMA 21 is rising
RSI > 55 and RSI increasing
Close is above EMA 21
Current candle is green (close > open)
Volume > MA20 of volume
Price below EMA 21
EMA 21 is falling
RSI < 45 and RSI decreasing
Close is below EMA 21
Current candle is red (close < open)
Volume > MA20 of volume
IU Grid Trading StrategyDESCRIPTION
The IU Grid Trading Strategy is designed to take advantage of ranging or sideways market conditions using a price-based grid system. This strategy automatically places long orders at predefined intervals below a starting grid level, creating a structured buy-the-dip approach. As price moves down, new long positions are opened at each level, and each position exits with a fixed profit target.
This is an ideal tool for traders who believe price will fluctuate between levels and eventually return to mean or higher ground. The script also includes a clean visual representation of grid levels and supports deep customization.
USER INPUTS
• Start Time – Strategy activation time to avoid historical noise
• Grid Start Level – The price level where the grid starts
• Grid Width – Distance between each grid level (in points)
• Number of Grids – Total number of grid levels below the start level
• Show Grid Levels – Option to display grid lines on the chart
LONG CONDITION
• The first long entry is triggered at the Grid Start Level
• Additional long entries are placed below the previous one, at each grid level
• Only one new long is added at a time, depending on the number of open trades
• All orders are placed as limit orders and managed dynamically
• Order comments and IDs help track positions clearly in the strategy tester
LONG EXIT
• Each long position has a fixed profit target
• The profit level is determined using:
Grid Width / Tick Size
• Once a position hits the defined profit, it is closed individually
• All open trades are actively monitored for exit triggers
WHY IT IS UNIQUE
• Supports up to 100 pyramiding trades to fully exploit grid setups
• Automatically cancels previous orders and manages each leg cleanly
• Smart time filter avoids backtesting from irrelevant historical data
• Cleanly plotted grid lines for better visual control
• High degree of customization to adapt to any instrument or timeframe
• Designed with realistic slippage, commission, and margin settings
HOW USER CAN BENEFIT FROM IT
• Ideal for range-bound markets or assets with mean-reverting behavior
• Helps accumulate positions at better prices without emotional bias
• Provides structured entries and exits with automated management
• Suitable for traders who prefer non-directional strategies
• Highly visual and educational for those learning about grid trading mechanisms
• Can be modified to support short trades or hybrid strategies
DISCLAIMER
This strategy is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Marcin Bitcoin📊 Core Logic and Conditions
✅ Entry Condition (Long):
Buy signal occurs when all of the following are true:
🔼 Uptrend — The centerline of the Gaussian filter (filt) is going up.
💥 Breakout — The current price is above the upper band of the Gaussian channel (close > hband).
⚡ Momentum — The Stochastic RSI %K is greater than 80, meaning the price is in a strong overbought zone (indicating strong momentum).
📅 Within the Date Range — The current bar is within the selected backtest window.
➡️ If all are true, the strategy enters a long position.
❌ Exit Condition (Close Position):
Sell signal (close position) occurs when:
The price crosses below the upper band (crossunder(close, hband))
Within the selected time window
➡️ This acts as a trailing stop — the position is held as long as the price stays above the breakout band.
🧠 Why It Might Work
The strategy tries to catch strong upward breakouts with high momentum.
It avoids chop and sideways moves by requiring:
Trend confirmation (filter rising),
Momentum confirmation (Stoch > 80),
Breakout (price > upper band)
PC UpdatedThis indicator identifies a high-probability breakout setup using a simple but powerful 3-candle formation. It works on lower timeframes (like 5m) and is ideal for scalping or short-term intraday setups.
NASDAQ Liquidity Breaker Bot1. Define session time (7:20 PM – 7:40 PM BD time / 9:20–9:40 AM EST)
2. Detect 15M swing high/low zones
3. On 1M chart: Detect strong bullish/bearish break
4. Identify breaker candle zone
5. Trigger entry based on break + retest logic
6. Set SL and TP logic (dynamic if needed)
7. Plot everything visually (entries, exits, zones)
MACD EMA + Time FilterStrategy Description: MACD EMA + Time Filter
This strategy combines MACD momentum, EMA trend filtering, and an optional time-based session filter (GMT+7) to generate high-probability trading signals. It is designed for intraday or short-term trading on small timeframes, and allows both Buy and Sell setups with fixed Risk-Reward (RR) control.
✅ Key Components:
EMA Filter: Uses a 21-period Exponential Moving Average (EMA) to determine the trend direction.
MACD Confirmation: Entries are confirmed using MACD crossover signals with customizable fast, slow, and signal periods.
Time Filter: Trades are only taken during a defined session (e.g., 19:00–22:00 GMT+7), ideal for high-liquidity trading hours.
RR Management: Entry signals include automatic Stop Loss (SL) and Take Profit (TP) levels, based on a pip buffer and RR multiplier.
Custom Options:
Enable/disable Buy or Sell signals
Show/hide SL/TP labels
Optionally display EMA on chart
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!
Variance and Moving Averages StrategyThe Variance and Moving Averages Strategy is a long-only trend-following system that combines volatility filtering with classic moving-average signals. It computes 5-, 15-, and 30-period simple moving averages (MA5, MA15, MA30) to identify a clear uptrend (MA5 > MA15 > MA30) and only enters when recent price variance (measured over the past 30 bars as the variance of (high–low)/close) is very low—avoiding choppy or noisy conditions. Once in a position, it employs a dual exit: a trend-based stop-loss (closing when MA5 falls below MA30) and a volatility-based take-profit (exiting when variance spikes above a high threshold), thus “buying low-volatility breakouts” and “selling on trend reversal or volatility expansion.”
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
Black-Scholes + Smart Money StrategyAn AI Test script.
The Black-Scholes option pricing model to extract institutional sentiment and implied volatility signals, empowering Smart Money-style entries.
JWs Algo📈 JWs Algo — 8/21 EMA Crossover Strategy with Take Profit and Stop Loss
JWs Algo is a momentum-based trading strategy that uses a classic 8/21 Exponential Moving Average (EMA) crossover to identify trend reversals and generate long and short trade signals. It includes built-in take profit and stop loss parameters to manage risk and lock in profits automatically.
🔍 Core Logic
Long Entry: When the 8 EMA crosses above the 21 EMA (bullish signal)
Short Entry: When the 8 EMA crosses below the 21 EMA (bearish signal)
Exit: Each position is exited automatically upon hitting either:
A take profit, defined as a percentage gain from entry
A stop loss, defined as a percentage loss from entry
✅ Key Features
Supports both long and short trades
Configurable take profit (%) and stop loss (%)
Prevents overlapping trades — the strategy waits for one trade to fully close before opening another
Clean visualization with:
Buy and sell signal markers
Plotted 8 EMA and 21 EMA for trend context
Compatible with any symbol and timeframe
⚙️ Recommended Use
This strategy works best on trending markets and can be adapted for:
Crypto
Forex
Stocks
Indices
Tune the TP/SL values and timeframe based on asset volatility for best results. Backtest thoroughly.
My strategyThe Combination 1 strategy is a precision-based breakout and retest setup designed for the EUR/USD 2-minute chart, operating during the Asia and London sessions (UTC-4). It identifies a unique consolidation zone where price, the 20-period SMA, and the 200-period SMA all align within a tight 2-pip range, signaling potential buildup. Once price breaks 10 to 15 pips above this consolidation area, the strategy waits for a retest—specifically, a wick that touches the zone, followed by a bullish close. This confirms buyer strength and triggers a BUY alert, with the take profit set at the breakout high and the stop loss at the recent swing low. This strategy filters for clean trends and disciplined breakouts, minimizing noise and maximizing precision.
Friedrich's Ichimoku & EMA Strategy📈 Friedrich's Ichimoku & EMA Strategy
This strategy combines the strength of the Ichimoku Cloud with the long-term trend confirmation of the 200 EMA to identify high-probability long entries.
🧠 Strategy Logic
Entry Conditions:
- Price is above the Ichimoku Cloud (bullish confirmation).
- Price is above the 200 EMA (long-term trend is up).
Exit Conditions:
- Price falls below the Ichimoku Cloud, or
- Price drops below the 200 EMA while in an open position.
📊 Visual Features
Plots Lead Line 1 & 2 of the Ichimoku Cloud.
Fills the cloud area for clear visual trend recognition.
Plots the 200 EMA to show long-term trend alignment.
🔔 Alerts
Long Entry Signal: When all conditions align for a long.
Close Signal: When price invalidates the setup.
🕒 Recommended Use
Best used on the 6H (6-hour) timeframe.
Optimized for Bitcoin (BTC/USD), but adaptable to other trending assets.
💡 Use Case
This strategy is designed for traders who want to:
Ride strong trends.
Use a rule-based approach with clear visual guidance.
You can customize the Ichimoku or EMA settings to fit your asset or time frame.
Pullback Pro Dow Strategy v7 (ADX Filter)
### **Strategy Description (For TradingView)**
#### **Title:** Pullback Pro: Dow Theory & ADX Strategy
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#### **1. Summary**
This strategy is designed to identify and trade pullbacks within an established trend, based on the core principles of Dow Theory. It uses market structure (pivot highs and lows) to determine the trend direction and an Exponential Moving Average (EMA) to pinpoint pullback entry opportunities.
To enhance trade quality and avoid ranging markets, an ADX (Average Directional Index) filter is integrated to ensure that entries are only taken when the trend has sufficient momentum.
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#### **2. Core Logic: How It Works**
The strategy's logic is broken down into three main steps:
**Step 1: Trend Determination (Dow Theory)**
* The primary trend is identified by analyzing recent pivot points.
* An **Uptrend** is confirmed when the script detects a pattern of higher highs and higher lows (HH/HL).
* A **Downtrend** is confirmed by a pattern of lower highs and lower lows (LH/LL).
* If neither pattern is present, the strategy considers the market to be in a range and will not seek trades.
**Step 2: Entry Signal (Pullback to EMA)**
* Once a clear trend is established, the strategy waits for a price correction.
* **Long Entry:** In a confirmed uptrend, a long position is initiated when the price pulls back and crosses *under* the specified EMA.
* **Short Entry:** In a confirmed downtrend, a short position is initiated when the price rallies and crosses *over* the EMA.
**Step 3: Confirmation & Risk Management**
* **ADX Filter:** To ensure the trend is strong enough to trade, an entry signal is only validated if the ADX value is above a user-defined threshold (e.g., 25). This helps filter out weak signals during choppy or consolidating markets.
* **Stop Loss:** The initial Stop Loss is automatically and logically placed at the last market structure point:
* For long trades, it's placed at the `lastPivotLow`.
* For short trades, it's placed at the `lastPivotHigh`.
* **Take Profit:** Two Take Profit levels are calculated based on user-defined Risk-to-Reward (R:R) ratios. The strategy allows for partial profit-taking at the first target (TP1), moving the remainder of the position to the second target (TP2).
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#### **3. Input Settings Explained**
**① Dow Theory Settings**
* **Pivot Lookback Period:** Determines the sensitivity for detecting pivot highs and lows. A smaller number makes it more sensitive to recent price swings; a larger number focuses on more significant, longer-term pivots.
**② Entry Logic (Pullback)**
* **Pullback EMA Length:** Sets the period for the Exponential Moving Average used to identify pullback entries.
**③ Risk & Exit Management**
* **Take Profit 1 R:R:** Sets the Risk-to-Reward ratio for the first take-profit target.
* **Take Profit 1 (%):** The percentage of the position to be closed when TP1 is hit.
* **Take Profit 2 R:R:** Sets the Risk-to-Reward ratio for the final take-profit target.
**④ Filters**
* **Use ADX Trend Filter:** A master switch to enable or disable the ADX filter.
* **ADX Length:** The lookback period for the ADX calculation.
* **ADX Threshold:** The minimum ADX value required to confirm a trade signal. Trades will only be placed if the ADX is above this level.
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#### **4. Best Practices & Recommendations**
* This is a trend-following system. It is designed to perform best in markets that exhibit clear, sustained trending behavior.
* It may underperform in choppy, sideways, or strongly ranging markets. The ADX filter is designed to help mitigate this, but no filter is perfect.
* **Crucially, you must backtest this strategy thoroughly** on your preferred financial instrument and timeframe before considering any live application.
* Experiment with the `Pivot Lookback Period`, `Pullback EMA Length`, and `ADX Threshold` to optimize performance for a specific market's characteristics.
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#### **DISCLAIMER**
This script is provided for educational and informational purposes only. It does not constitute financial advice. All trading involves a high level of risk, and past performance is not indicative of future results. You are solely responsible for your own trading decisions. The author assumes no liability for any financial losses you may incur from using this strategy. Always conduct your own research and due diligence.
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