Daily Close Breakout 20/10 + 200 (Signals)Daily Close Breakout 20/10 + 200 (Signals)
A simple “check once per day” breakout signal tool designed for the Daily (1D) chart.
Quickstart:
* Signals are confirmed at the daily candle close.
* If a triangle prints today, the earliest you act is the next day’s open (not the same candle).
* Green triangle = consider entering long.
* Red triangle = consider exiting.
* Long-only (no shorts).
How to use:
* Use on the Daily (1D) timeframe.
* Check the chart once per day after the daily candle closes.
* Do not act intraday on signals.
Rules (default settings 20 / 10 / 200):
* BUY: A green up triangle prints when the daily close is above the prior 20-day high and above the 200-day Simple Moving Average.
* SELL: A red down triangle prints when the daily close is below the prior 10-day low.
Lines and colors:
* Prior 20-day high (entry level): red
* Prior 10-day low (exit level): yellow
* 200-day Simple Moving Average: aqua
Notes:
* Best used on the Daily (1D) timeframe. Other timeframes may behave differently.
* This script plots signals and reference levels only. For performance metrics, use a matching strategy/backtest script.
* Educational use only. Not financial advice.
System
Phenom（指標版：EMA 交叉訊號 v8.8 + 結構與風險）標題 (Title)： Phenom Intelligence: Trend & Risk Structure System (v8.8)
內文 (Description)：
Introduction Phenom Intelligence v8.8 is a comprehensive trading system designed to capture trends while strictly managing risk. It integrates Dynamic EMA Structures, Momentum Filters, and Risk Boundaries (ATR & Pivots) into one chart, providing a complete decision-making framework.
Key Features
Dynamic EMA Ribbon: Automatically adjusts EMA lengths based on the selected mode (Swing, Scalping, Trend-Following, or Long-Term Investment).
ATR Risk Channel: Visualizes volatility risk. A close below the lower ATR band signals a potential structure break and suggests defensive measures.
Pivot Points (Auto-Structure): Automatically plots Pivot (P), Resistance (R1), and Support (S1) levels to identify optimal take-profit and stop-loss zones.
Golden Confluence Signals: High-quality buy/sell signals are triggered only when Trend, Momentum (MACD), RSI, and Multi-Timeframe (MTF) conditions align.
Disclaimer This script is "Invite-Only" and intended for educational purposes. It does not constitute financial advice.
系統簡介 Phenom Intelligence v8.8 是一套專為捕捉波段趨勢與風險控管而設計的綜合交易系統。整合了「趨勢結構」、「動能濾網」與「風險邊界」，協助交易者在進場前具備完整的決策依據。
核心功能
智能趨勢均線 (Dynamic EMA)： 內建四種戰略模式，系統會根據選定的模式自動調整均線週期。
ATR 動態風險通道： 以均線為軸心繪製波動率通道。當價格跌破下通道時，視為結構破壞警訊，提供客觀的離場參考。
結構支撐壓力 (Pivots)： 自動計算關鍵結構點位。R1 (阻力) 可作為獲利調節目標，S1 (支撐) 作為防守區。
黃金共振訊號： 當 EMA 趨勢、MACD 動能、RSI 強度與多週期狀態完全共振時，才會觸發特定訊號，過濾雜訊。
免責聲明 本指標僅供技術分析參考與教育用途，不代表任何形式的投資建議。
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Trend Follow Line Point📌 Trend Follow Line Point
The Trend Follow Line Point indicator removes the confusing, repainting-based swing connections commonly found in traditional swing tools.
It maintains consistent swing-point calculation, keeps structural swing lines intact even when trend lines are broken, and integrates market structure + trend + volatility + volume into one intuitive, visual indicator.
This tool is designed for:
Trend Following
Swing Structure Analysis
Volatility-Based Entry & Exit
Market Strength Evaluation
📊 Component Explanation
🔹 1. Swing High / Swing Low Detection
Based on the user-defined sensitivity (swgLen):
A Swing High forms when the current high exceeds the previous swgLen highs.
A Swing Low forms when the current low falls below the previous swgLen lows.
🔹 2. Swing-Based Structure Lines
Connect Swing Highs → Structural visualization
Connect Swing Lows → Structural visualization
These lines reveal the underlying market structure without repainting or disappearing unexpectedly.
🔹 3. Dynamic ATR + Volume Weighting
ATR values combined with the volume ratio (vol / volMA) create a dynamic volatility channel that reflects real-time market pressure.
🔹 4. Enhanced SuperTrend Calculation
Uses ATR-based stability to produce more realistic and smoother trend lines, reducing noise and improving signal clarity.
🔹 5. Trend Color Mapping
Up Trend → User-selected color
Down Trend → User-selected color
Visual trend direction and strength can be identified immediately.
🧭 How to Use
When Swing Highs/Lows are detected, structure lines are automatically drawn between previous swings.
Use these lines to evaluate support/resistance breaks and overall structural direction.
Manage risk with volatility guidance:
Higher ATR (volume-weighted) → wider trend spacing → increased risk
Lower ATR → tighter spacing → reduced risk
This helps with position sizing, entry timing, and exit decisions.
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Magic Equity Trend & PivotsMagic Equity Trend & Pivots is a robust technical analysis engine designed specifically for equity and index traders. It serves as a comprehensive "Trend & Level" companion, combining institutional Pivot Points with a proprietary EMA trend filtering system to identify high-probability setups.
How the Magic Works
This indicator simplifies complex market data into a clear visual workflow:
1. The Magic Equity Trend (Trend Identification) The script uses a weighted system to determine the dominant market direction:
Bullish Trend: Price holds above the primary Trend SMA + a Volatility Buffer (Green Zone).
Bearish Trend: Price is rejected below the Trend SMA - Buffer (Red Zone).
No-Trade Zone: When the price is trapped inside the buffer (Gray Channel), the trend is considered weak or ranging.
2. Institutional Pivot Points Price often reacts at hidden levels. This tool calculates and overlays these levels automatically:
Multi-Type Support: Choose between Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla pivots.
Timeframe Smart-Switching: Use fixed timeframes (e.g., Weekly Pivots on a Daily chart) or let the "Auto" mode decide the best reference period for your current view.
Historical Mode: Unlike standard pivots, these can be back-tested visually to see how prices respected levels in the past.
3. Precision Entry & Exit Logic Trade signals are not random; they are based on a strict confluence of "Magic" factors:
Entry Signal: Requires Trend Alignment + Fast/Slow EMA Crossover + RSI Strength (>60) + Relative Volume Spike.
Top-Up (Add-on): Detects low-risk opportunities to add to a position when price pulls back to the EMA10/20 during a strong trend.
Two-Stage Exit: Secures profits using either an ATR Trailing Stop or an Intraday RSI Breakdown, depending on your settings.
4. Divergence & Momentum
RSI Divergence: Automatically plots Regular Bullish and Bearish divergences to warn of potential reversals at tops or bottoms.
Darvas Boxes: Visualizes consolidation ranges to help identify breakouts.
5. Performance Dashboard A data table provides a snapshot of the asset's health:
Mean Reversion: Measures the % distance from key EMAs (10, 20, 50).
RVOL & ADR: Displays Relative Volume and Average Daily Range to gauge volatility.
Performance Tracker: A theoretical summary table showing how the trend signals have performed over the last 1W, 1M, and 1Y periods.
Settings & Customization
Visuals: Fully customizable colors for the Trend Cloud, Pivots, and Backgrounds.
Filters: Toggle specific filters (Volume, RSI, Trend Buffer) to adapt the sensitivity to different asset classes.
Disclaimer: This tool is for educational purposes and technical analysis assistance only. Past performance displayed in the dashboard does not guarantee future results.
Adaptive Volume Trend - [RZ]Adaptive Volume Trend
Introduction
The Adaptive Volume Trend is a dynamic, volume-weighted trend detection indicator designed to identify significant directional shifts in market momentum. By integrating price and volume data into a single adaptive framework, it helps traders visualize when market participation supports upward or downward trends.
The indicator adapts to volatility conditions through statistical measures, offering a refined approach to trend confirmation beyond traditional moving averages.
Key Features
Dynamic Volume-Weighted Analysis : Utilizes a Volume-Weighted Moving Average (VWMA) combined with exponential smoothing to account for both price movement and traded volume.
Adaptive Thresholding : Implements a rolling standard deviation-based system that automatically adjusts sensitivity to volatility and market conditions.
Color-Coded Trend Visualization : Optional bar and line coloring dynamically represent bullish and bearish market states for intuitive chart interpretation.
Alert Conditions : Built-in alerts notify users when bullish or bearish thresholds are breached, enabling timely trading decisions.
Customizable Parameters : Users can modify VWMA length, smoothing period, threshold sensitivity, and color settings to align with their preferred trading style or asset characteristics.
How It Works
The indicator calculates a smoothed VWMA of the closing price weighted by trading volume, then compares the logarithmic deviation of price from this adaptive average. A dynamic standard deviation is applied over a defined period to establish upper and lower threshold bands that represent statistically significant price deviations.
When the oscillator crosses above the upper threshold, it signals potential bullish strength supported by rising volume.
When it falls below the lower threshold, it indicates bearish dominance or weakening momentum.
A scoring mechanism assigns values (+1 for bullish, –1 for bearish) which drive both bar and line color changes, providing immediate visual feedback.
The EMA overlay line, color-shifted by signal strength, further emphasizes ongoing directional trends.
This adaptive mechanism ensures responsiveness during high-volatility markets while filtering noise during consolidation phases.
ES
NVIDIA
GOLD
Conclusion
The Adaptive Volume Trend indicator offers traders a balanced, adaptive framework to analyze volume-backed price movements. By dynamically adjusting to volatility and market participation, it enhances the reliability of trend detection and visual clarity on charts. It serves as a valuable addition for traders seeking volume-informed trend confirmation and dynamic market structure insights.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Users should conduct their own analysis and manage risk appropriately before making any trading decisions.
Extended Majors Rotation System | AlphaNattExtended Majors Rotation System | AlphaNatt
A sophisticated cryptocurrency rotation system that dynamically allocates capital to the strongest trending major cryptocurrencies using multi-layered relative strength analysis and adaptive filtering techniques.
"In crypto markets, the strongest get stronger. This system identifies and rides the leaders while avoiding the laggards through mathematical precision."
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📊 SYSTEM OVERVIEW
The Extended Majors Rotation System (EMRS) is a quantitative momentum rotation strategy that:
Analyzes 10 major cryptocurrencies simultaneously
Calculates relative strength between all possible pairs (45 comparisons)
Applies fractal dimension analysis to identify trending behavior
Uses adaptive filtering to reduce noise while preserving signals
Dynamically allocates to the mathematically strongest asset
Implements multi-layer risk management through market regime filters
Core Philosophy:
Rather than trying to predict which cryptocurrency will perform best, the system identifies which one is already performing best relative to all others and maintains exposure until leadership changes.
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🎯 WHAT MAKES THIS SYSTEM UNEQUIVOCALLY UNIQUE
1. True Relative Strength Matrix
Unlike simple momentum strategies that look at individual asset performance, EMRS calculates the complete relative strength matrix between all assets. Each asset is compared against every other asset using fractal analysis, creating a comprehensive strength map of the entire crypto market.
2. Hurst Exponent Integration
The system employs the Hurst Exponent to distinguish between:
Trending behavior (H > 0.5) - where momentum is likely to persist
Mean-reverting behavior (H < 0.5) - where reversals are likely
Random walk (H ≈ 0.5) - where no edge exists
This ensures the system only takes positions when mathematical evidence of persistence exists.
3. Dual-Layer Filtering Architecture
Combines two advanced filtering techniques:
Laguerre Polynomial Filters: Provides low-lag smoothing with minimal distortion
Kalman-like Adaptive Smoothing: Adjusts filter parameters based on market volatility
This dual approach preserves important price features while eliminating noise.
4. Market Regime Awareness
The system monitors overall crypto market conditions through multiple lenses and only operates when:
The broad crypto market shows positive technical structure
Sufficient trending behavior exists across major assets
Risk conditions are favorable
5. Rank-Based Selection with Trend Confirmation
Rather than simply choosing the top-ranked asset, the system requires:
High relative strength ranking
Positive individual trend confirmation
Alignment with market regime
This multi-factor approach reduces false signals and whipsaws.
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🛡️ SYSTEM ROBUSTNESS & DEVELOPMENT METHODOLOGY
Pre-Coding Design Philosophy
This system was completely designed before any code was written . The mathematical framework, indicator selection, and parameter ranges were determined through:
Theoretical analysis of market microstructure
Study of persistence and mean reversion in crypto markets
Mathematical modeling of relative strength dynamics
Risk framework development based on regime theory
No Post-Optimization
Zero parameter fitting: All parameters remain at their originally designed values
No curve fitting: The system uses the same settings across all market conditions
No cherry-picking: Parameters were not adjusted after seeing results
This approach ensures the system captures genuine market dynamics rather than historical noise
Parameter Robustness Testing
Extensive testing was conducted to ensure stability:
Sensitivity Analysis: System maintains positive expectancy across wide parameter ranges
Walk-Forward Analysis: Consistent performance across different time periods
Regime Testing: Performs in both trending and choppy conditions
Out-of-Sample Validation
System was designed on a selection of 10 assets
System was tested on multiple baskets of 10 other random tokens, to simualte forwards testing
Performance remains consistent across baskets
No adjustments made based on out-of-sample results
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📈 PERFORMANCE METRICS DISPLAYED
The system provides real-time performance analytics:
Risk-Adjusted Returns:
Sharpe Ratio: Measures return per unit of total risk
Sortino Ratio: Measures return per unit of downside risk
Omega Ratio: Probability-weighted ratio of gains vs losses
Maximum Drawdown: Largest peak-to-trough decline
Benchmark Comparison:
Live comparison against Bitcoin buy-and-hold strategy
Both equity curves displayed with gradient effects
Performance metrics shown for both strategies
Visual representation of outperformance/underperformance
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🔧 OPERATIONAL MECHANICS
Asset Universe:
The system analyzes 10 major cryptocurrencies, customizable through inputs:
Bitcoin (BTC)
Ethereum (ETH)
Solana (SOL)
XRP
BNB
Dogecoin (DOGE)
Cardano (ADA)
Chainlink (LINK)
Additional majors
Signal Generation Process:
Calculate relative strength matrix
Apply Hurst Exponent analysis to each ratio
Rank assets by aggregate relative strength
Confirm individual asset trend
Verify market regime conditions
Allocate to highest-ranking qualified asset
Position Management:
Single asset allocation (no diversification)
100% in strongest trending asset or 100% cash
Daily rebalancing at close
No leverage employed in base system
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📊 VISUAL INTERFACE
Information Dashboard:
System state indicator (ON/OFF)
Current allocation display
Real-time performance metrics
Sharpe, Sortino, Omega ratios
Maximum drawdown tracking
Net profit multiplier
Equity Curves:
Cyan curve: System performance with gradient glow effect
Magenta curve: Bitcoin HODL benchmark with gradient
Visual comparison of both strategies
Labels indicating current values
Alert System:
Alerts fire when allocation changes
Displays selected asset symbol
"CASH" alert when system goes defensive
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⚠️ IMPORTANT CONSIDERATIONS
Appropriate Use Cases:
Medium to long-term crypto allocation
Systematic approach to crypto investing
Risk-managed exposure to cryptocurrency markets
Alternative to buy-and-hold strategies
Limitations:
Daily rebalancing required
Not suitable for high-frequency trading
Requires liquid markets for all assets
Best suited for spot trading (no derivatives)
Risk Factors:
Cryptocurrency markets are highly volatile
Past performance does not guarantee future results
System can underperform in certain market conditions
Not financial advice - for educational purposes only
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🎓 THEORETICAL FOUNDATION
The system is built on several academic principles:
1. Momentum Anomaly
Extensive research shows that assets exhibiting strong relative momentum tend to continue outperforming in the medium term (Jegadeesh & Titman, 1993).
2. Fractal Market Hypothesis
Markets exhibit fractal properties with periods of persistence and mean reversion (Peters, 1994). The Hurst Exponent quantifies these regimes.
3. Adaptive Market Hypothesis
Market efficiency varies over time, creating periods where momentum strategies excel (Lo, 2004).
4. Cross-Sectional Momentum
Relative strength strategies outperform time-series momentum in cryptocurrency markets due to the high correlation structure.
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💡 USAGE GUIDELINES
Capital Requirements:
Suitable for any account size
No minimum capital requirement
Scales linearly with account size
Implementation:
Can be traded manually with daily signals
Suitable for automation via alerts
Works with any broker supporting crypto
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📝 FINAL NOTES
The Extended Majors Rotation System represents a systematic, mathematically-driven approach to cryptocurrency allocation. By combining relative strength analysis with fractal market theory and adaptive filtering, it aims to capture the persistent trends that characterize crypto bull markets while avoiding the drawdowns of buy-and-hold strategies.
The system's robustness comes not from optimization, but from sound mathematical principles applied consistently. Every component was chosen for its theoretical merit before any backtesting occurred, ensuring the system captures genuine market dynamics rather than historical artifacts.
"In the race between cryptocurrencies, bet on the horse that's already winning - but only while the track conditions favour racing."
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Developed by AlphaNatt | Quantitative Rotation Systems
Version: 1.0
Strategy Type: Momentum Rotation
Classification: Systematic Trend Following
Not financial advice. Always DYOR.
HMA super trade by @arkancapMulti-HMA with five customizable moving averages: visual colors, transparency via picker, flexible line styles, and label/alert for HMA50↔HMA100 crossovers. Lightweight, readable, and ready for trading templates.
Мульти-HMA с пятью настраиваемыми скользящими: визуальные цвета, прозрачность через пикер, гибкие стили линий и метка/алерт для пересечений HMA50↔HMA100. Лёгкий, читабельный и готовый к торговым шаблонам.
Five Hull moving averages that show the trend and indicate key crossovers. Customize colors, thickness, and get accurate alerts. Suitable for scalping and multi-timeframes. Support for filling between moving averages to visually highlight areas of strength or weakness.
Пять Hull-скользящих, которые показывают тренд и подсказывают ключевые пересечения. Настраивай цвета, толщину и получай аккуратные алерты. Подходит для скальпа и мульти-таймфрейма. Поддержка заливки между скользящими для наглядного выделения зон силы или слабости.
Multi-Timeframe Options Strategy with Dynamic Scoring System## Multi-Timeframe Options Strategy with Dynamic Scoring System
### Overview
This indicator combines 12 technical analysis tools using a proprietary 30-point scoring system to generate options trading signals (CALL/PUT). It's designed for traders seeking confluence-based entries with multiple confirmation layers.
### How the Scoring System Works
The indicator evaluates market conditions across three categories:
**Trend Analysis (9 points maximum):**
- EMA Alignment (9, 21, 50, 200): Checks if moving averages are properly stacked (3 points)
- ADX Trend Strength: Confirms trend momentum above 25 threshold (3 points)
- Higher Timeframe Confirmation: Validates signals against larger timeframe trend (3 points)
**Momentum Indicators (7 points maximum):**
- RSI Position & Direction: Optimal zones 40-65 for buys, 35-60 for sells (2 points)
- MACD Signal Line Cross: Momentum confirmation (2 points)
- Stochastic Oscillator: Overbought/oversold conditions (2 points)
- Bollinger Band Position: Price relative to middle band (1 point)
**Market Quality Filters (4 points maximum):**
- Volume Confirmation: 1.5x average volume requirement (2 points)
- VWAP Position: Trend alignment check (1 point)
- ATR Volatility: Ensures adequate price movement (1 point)
### Key Features
**1. Fair Value Gaps (FVG)**
- Identifies price inefficiencies between candles
- Bullish FVG: Current low > high (potential support)
- Bearish FVG: Current high < low (potential resistance)
- Visual representation with colored boxes on chart
**2. Three Operating Modes**
- Normal Mode: Minimum 10 points - balanced signal frequency
- High Mode: Minimum 15 points - fewer but stronger signals
- Ultra Mode: Minimum 20 points - only highest quality setups
**3. Protection Mechanisms**
- Bollinger Band squeeze detection avoids ranging markets
- Prevents conflicting signals (no simultaneous CALL/PUT)
- 5-bar minimum cooldown between signals
- Filters extreme RSI readings (>75 or <25)
**4. Risk Management**
- Three profit targets: 0.5%, 1%, 1.5%
- Stop loss: 0.5% or ATR-based
- Visual target lines with entry/exit levels
### How Components Work Together
The indicator creates a comprehensive market analysis by combining:
- **EMAs** provide the trend structure framework
- **Oscillators** (RSI, Stochastic) identify optimal entry timing
- **ADX** confirms trend strength to filter weak signals
- **Volume** validates institutional participation
- **Higher timeframe** acts as a directional filter
Each component contributes points to either bullish or bearish scoring. Signals only generate when one direction significantly outweighs the other and meets minimum thresholds.
### Usage Instructions
1. **Select Mode**: Choose Normal/High/Ultra based on your trading style
2. **Monitor Dashboard**: Check real-time scoring and market conditions
3. **Wait for Signals**: Main BUY/SELL labels appear when criteria met
4. **Follow Targets**: Use automated TP and SL levels for risk management
5. **Candle Labels**: Optional CALL/PUT labels show building momentum
### Dashboard Information
The dashboard displays:
- Current trend direction and HTF confirmation
- ADX strength and direction
- RSI status with divergence detection
- MACD momentum state
- Volume multiplier
- Market condition (trending/ranging)
- Live scoring for both directions
### Important Notes
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use proper risk management
- Test thoroughly on demo before live trading
### Originality
This indicator's unique value comes from:
1. The 30-point weighted scoring system that prioritizes different factors
2. Integration of Fair Value Gaps with traditional indicators
3. Multi-mode operation allowing traders to adjust signal frequency
4. Higher timeframe validation system
5. Comprehensive filtering to reduce false signals
The combination creates a systematic approach to options trading that goes beyond simple indicator mashups by providing clear, scored reasoning for each signal.
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### Updates and Support
For questions or suggestions, please comment below. The indicator will be updated based on community feedback while maintaining compliance with all platform rules.
GMMG CCM SYSTEM HALMACCI INDICATOR BY KUYA NICKOOVERVIEW:
This script is about HALMACCI strategy based on Coach Miranda Miner System (CMM Systems of GMMG). It's an indicator to help traders decide when to enter and exit. This indicator uses Bollinger Band, EMA and ALMA with the length settings used by GMMG.
USAGE:
Apply the indicator to any chart. Best use in lower timeframes (Ex: 5m and 1m). You may use custom length settings but I suggest to stick with the default settings if you are using CMM System.
To enter LONG, If the CCI cross over -100 (shows a green dot when dot is enabled in style) and the EMA cross above ALMA (shows a green cross when cross is enabled in style). You may enter long. Strong confluence when it happens above the Bollinger Band and the candle closed above the Bollinger Band. You may exit when the CCI cross under -100 or immediate resistance.
To enter SHORT, If the CCI cross under 100 (shows a red dot when dot is enabled in style) and the EMA cross above ALMA (shows a red cross when cross is enabled in style). You may enter short. Strong confluence when it happens below the Bollinger Band and the candle closed below the Bollinger Band. You may exit when the CCI cross over 100 or immediate support.
Use may use alerts to catch breakout events so you would not need to monitor the chart continuously
AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool!
📊 What is AllMA Trend Radar?
AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style.
💡 The main components of the indicator
📈 Fast and slow moving averages
The indicator uses two main lines:
- Fast MA (blue line): reacts faster to price changes
- Slow MA (red line): smoother, reflects a long-term trend
The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market.
🔄 Wide range of moving averages
There are more than 30 types of moving averages at your disposal:
- SMA: Simple moving average
- EMA: Exponential moving average
- WMA: Weighted moving average
- DEMA: double exponential MA
- TEMA: triple exponential MA
- HMA: Hull Moving Average
- LSMA: Moving average of least squares
- JMA: Eureka Moving Average
- ALMA: Arnaud Legoux Moving Average
- ZLEMA: moving average with zero delay
- And many others!
🔍 Indicator signals
1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA)
Up/Down signals (intersection)
- Buy (Up) signal:
- What happens: the fast MA crosses the slow MA from bottom to top
- What does the green triangle with the "Buy" label under the candle look
like - What does it mean: a likely upward trend reversal or an uptrend strengthening
- Sell signal (Down):
- What happens: the fast MA crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: a likely downtrend reversal or an increase in the downtrend
Greater/Less signals (ratio)
- Buy signal (Greater):
- What happens: the fast MA becomes higher than the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the formation or confirmation of an uptrend
- Sell signal (Less):
- What happens: the fast MA becomes lower than the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the formation or confirmation of a downtrend
2️⃣ Signals ⚡️ Fast MA (fast MA and price)
Up/Down signals (intersection)
- Buy signal (Up Fast):
- What happens: the price crosses the fast MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a short-term price growth signal
- Sell signal (Down Fast):
- What happens: the price crosses the fast MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a short-term price drop signal
Greater/Less signals (ratio)
- Buy signal (Greater Fast):
- What happens: the price is getting higher than the fast MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the fast MA, which indicates an upward movement
- Sell signal (Less Fast):
- What happens: the price is getting lower than the fast MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the fast MA, which indicates a downward movement
3️⃣ Signals 🐢 Slow MA (slow MA and price)
Up/Down signals (intersection)
- Buy signal (Up Slow):
- What happens: the price crosses the slow MA from bottom to top
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: a potential medium-term upward trend reversal
- Sell signal (Down Slow):
- What happens: the price crosses the slow MA from top to bottom
- What does it look like: a red triangle with a "Sell" label above the candle
- What does it mean: a potential medium-term downward trend reversal
Greater/Less signals (ratio)
- Buy signal (Greater Slow):
- What happens: the price is getting above the slow MA
- What does it look like: a green triangle with a "Buy" label under the candle
- What does it mean: the price is above the slow MA, which indicates a strong upward movement
- Sell signal (Less Slow):
- What is happening: the price is getting below the slow MA
- What does it look like: a red triangle with a "Sell" mark above the candle
- What does it mean: the price is under the slow MA, which indicates a strong downward movement
🛠 Filters to filter out false signals
1️⃣ Minimum distance between the signals
- What it does: sets the minimum number of candles between signals of the same type
- Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility
- How to set it up: Set a different value for each signal type (default: 3-5 bars)
- Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later
2️⃣ Advanced indicator filters
🔍 RSI Filter
- What it does: Checks the Relative Strength Index (RSI) value before generating a signal
- Why it is needed: it helps to avoid countertrend entries and catch reversal points
- How to set up:
- For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30)
- For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100)
- Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed
📊 MFI Filter (Cash Flow Index)
- What it does: analyzes volumes and the direction of price movement
- Why it is needed: confirms signals with data on the activity of cash flows
- How to set up:
- For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25)
- For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100)
- Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed
📈 Stochastic Filter
- What it does: analyzes the position of the current price relative to the price range
- Why it is needed: confirms signals based on overbought/oversold conditions
- How to configure:
- You can configure the K Length, D Length and Smoothing parameters
- For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20)
- For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100)
- Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed
🔌 Connecting to trading strategies
The indicator provides various connectors to connect to your trading strategies.:
1️⃣ Individual connectors for each type of signal
- 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA
- 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA
- 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA
- 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA
- 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA
- 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals
2️⃣ Combined connectors
- 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down)
- 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less)
- 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less)
❗️ All connectors return values:
- 1: buy signal
- -1: sell signal
- 0: no signal
📚 How to start using AllMA Trend Radar
1️⃣ Selection of types of moving averages
- Add an indicator to the chart
- Select the type and period for the fast MA (default: DEMA with a period of 14)
- Select the type and period for the slow MA (default: SMA with a period of 14)
- Experiment with different types of MA to find the best combination for your trading style
2️⃣ Signal settings
- Turn on the desired signal types (Up/Down, Greater/Less)
- Set the minimum distance between the signals
- Activate and configure the necessary filters (RSI, MFI, Stochastic)
3️⃣ Checking on historical data
- Analyze how the indicator works based on historical data
- Pay attention to the accuracy of the signals and the presence of false alarms
- Adjust the settings if necessary
4️⃣ Introduction to the trading strategy
- Decide which signals will be used to enter the position.
- Determine which signals will be used to exit the position.
- Connect the indicator to your trading strategy through the appropriate connectors
🌟 Practical application examples
Scalping strategy
- Fast MA: TEMA with a period of 8
- Slow MA: EMA with a period of 21
- Active signals: Fast MA Up/Down
- Filters: RSI (range 1-40 for purchases, 60-100 for sales)
- Signal spacing: 3 bars
Strategy for day trading
- Fast MA: TEMA with a period of 10
- Slow MA: SMA with a period of 20
- Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less
- Filters: MFI (range 1-25 for purchases, 75-100 for sales)
- Signal spacing: 5 bars
Swing Trading Strategy
- Fast MA: DEMA with a period of 14
- Slow MA: VWMA with a period of 30
- Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less
- Filters: Stochastic (range 1-20 for purchases, 80-100 for sales)
- Signal spacing: 8 bars
A strategy for positional trading
- Fast MA: HMA with a period of 21
- Slow MA: SMA with a period of 50
- Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less
- Filters: RSI and MFI at the same time
- The distance between the signals: 10 bars
💡 Tips for using AllMA Trend Radar
1. Select the types of MA for market conditions:
- For trending markets: DEMA, TEMA, HMA (fast MA)
- For sideways markets: SMA, WMA, VWMA (smoothed MA)
- For volatile markets: KAMA, AMA, VAMA (adaptive MA)
2. Combine different types of signals:
- Up/Down signals work better when moving from a sideways trend to a directional
one - Greater/Less signals are optimal for fixing a stable trend
3. Use filters effectively:
- The RSI filter works great in trending markets
- MFI filter helps to confirm the strength of volume movement
- Stochastic filter works well in lateral ranges
4. Adjust the minimum distance between the signals:
- Small values (2-3 bars) for short-term trading
- Average values (5-8 bars) for medium-term trading
- Large values (10+ bars) for long-term trading
5. Use combination connectors:
- For more reliable signals, connect the indicator through the combined connectors
💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!
Average Entry Price Calculator# Average Entry Price Calculator
This powerful indicator helps you track your average entry price across multiple positions, displaying it clearly on your chart with customizable lines and labels.
## Features:
• Calculate average entry price for up to 5 different positions
• Display current price and profit/loss calculations
• Show percentage and absolute change from your average entry
• Customizable line styles, colors, and label positions
• Track your entry prices with clear visual references
## How It Works:
Enter your position details (entry price and amount in USDT), and the indicator will calculate your average entry price, displaying it as a horizontal line on your chart. The indicator also shows your individual entry prices as separate lines, making it easy to visualize your overall position.
## Perfect For:
• DCA (Dollar-Cost Averaging) strategies
• Position tracking across multiple entries
• Risk management and profit taking
• Visualizing entry zones on your chart
## Instructions:
1. Add the indicator to your chart
2. Enter your position details (price and amount)
3. Customize the visual appearance as needed
4. Use the displayed average entry line for decision making
All calculations are done locally in your browser - no sensitive data is transmitted or stored.
Enjoy more informed trading decisions with this essential position tracking tool!
Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy
🧭 Overview
The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits.
🎯 Strategy Objectives
Enter trades aligned with the prevailing long-term trend
Exit trades on confirmed momentum reversals
Avoid false signals using session timing and volatility filters
Apply structured risk management with automatic TP, SL, and trailing stops
⚙️ Key Features
Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA
Dual-filter logic using a custom oscillator and moving averages
Session and volatility filters to eliminate low-quality setups
Trailing stop, configurable Take Profit / Stop Loss logic
“In-wave flag” prevents overtrading within the same trend wave
Visual clarity with color-shifting candles and entry/exit markers
📈 Trading Rules
✅ Long Entry Conditions:
Price is above the selected MA
Oscillator is positive and rising
200-period EMA indicates an uptrend
ATR exceeds its median value (sufficient volatility)
Entry occurs between 09:00–17:00 (exchange time)
Not currently in an active wave
🔻 Short Entry Conditions:
Price is below the selected MA
Oscillator is negative and falling
200-period EMA indicates a downtrend
All other long-entry conditions are inverted
❌ Exit Conditions:
Take Profit or Stop Loss is hit
Opposing signals from oscillator and MA
Trailing stop is triggered
🛡️ Risk Management Parameters
Pair: ETH/USD
Timeframe: 4H
Starting Capital: $3,000
Commission: 0.02%
Slippage: 2 pips
Risk per Trade: 2% of account equity (adjustable)
Total Trades: 224
Backtest Period: May 24, 2016 — April 7, 2025
Note: Risk parameters are fully customizable to suit your trading style and broker conditions.
🔧 Trading Parameters & Filters
Time Filter: Trades allowed only between 09:00–17:00 (exchange time)
Volatility Filter: ATR must be above its median value
Trend Filter: Long-term 200-period EMA
📊 Technical Settings
Moving Average
Type: SMA
Length: 40
Source: hl2
Oscillator
Length: 15
Threshold: 0.5
Risk Management
Take Profit: 1.5%
Stop Loss: 1.0%
Trailing Stop: 1.0%
👁️ Visual Support
MA and oscillator color changes indicate directional bias
Clear chart markers show entry and exit points
Trailing stops and risk controls are transparently managed
🚀 Strategy Improvements & Uniqueness
In-wave flag avoids repeated entries within the same trend phase
Filtering based on time, volatility, and trend ensures higher-quality trades
Dynamic high/low tracking allows precise trailing stop placement
Fully rule-based execution reduces emotional decision-making
💡 Inspirations & Attribution
This strategy is inspired by the excellent concept from:
ChartPrime – “Moving Average Shift”
It expands on the original idea with advanced trade filters and trailing logic.
Source reference:
📌 Summary
The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles.
⚠️ Disclaimer
This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
[COG]Adaptive Volatility Bands# Adaptive Volatility Bands (AVB) Indicator Guide for Traders
## Special Acknowledgment 🙌
This script is inspired by and builds upon the foundational work of **DonovanWall**, a respected contributor to the trading community. His innovative approach to adaptive indicators has been instrumental in developing this advanced trading tool.
## What is the Adaptive Volatility Bands Indicator?
The Adaptive Volatility Bands (AVB) is a sophisticated technical analysis tool designed to help traders understand market dynamics by creating dynamic, responsive price channels that adapt to changing market conditions. Unlike traditional static indicators, this script uses advanced mathematical techniques to create flexible bands that adjust to market volatility in real-time.
## Key Features and Inputs
### 1. Price and Filtering Options
- **Price Source**: Determines the base price used for calculations (default is HLC3 - Average of High, Low, and Close)
- **Filter Poles**: Controls the smoothness of the indicator (1-9 poles)
- Lower values: More responsive, more noise
- Higher values: Smoother, but slower to react
### 2. Volatility and Band Settings
- **Sample Length**: Determines how many bars are used to calculate volatility (default 144)
- **Volatility Multiplier**: Adjusts the width of the main bands (default 1.414)
- **Outer Band Multiplier**: Controls the width of the outer bands (default 2.5)
- **Inner Band Ratio**: Positions the inner bands between the center and outer bands (default 0.25)
### 3. Advanced Processing Options
- **Lag Reduction Mode**: Helps reduce indicator delay
- **Fast Response Mode**: Makes the indicator more responsive to recent price changes
### 4. Signal and Visualization Options
- **Show Entry Signals**: Displays buy and sell signals
- **Signal Display Style**: Choose between labels or shapes
- **Range Filter**: Adds an additional filter for signal validation
## How the Indicator Works
The Adaptive Volatility Bands create a dynamic price channel with three key components:
1. **Center Line**: Represents the core trend direction
2. **Inner Bands**: Closer to the center line
3. **Outer Bands**: Wider bands that show broader price potential
### Color Dynamics
- The indicator uses a smart color gradient system
- Colors change based on price position within the bands
- Helps visualize bullish (green/blue) and bearish (red) market conditions
## Trading Strategies for Beginners
### Basic Entry Signals
- **Buy Signal**:
- Price touches the center line from below
- Candle is bullish (closes higher than it opens)
- Price is above the center line
- Trend is upward
- **Sell Signal**:
- Price touches the center line from above
- Candle is bearish (closes lower than it opens)
- Price is below the center line
- Trend is downward
### Risk Management Tips
1. Use the bands to identify:
- Potential trend changes
- Volatility levels
- Support and resistance areas
2. Combine with other indicators for confirmation
3. Always use stop-loss orders
4. Adjust parameters to match your trading style and asset
## When to Use This Indicator
Best suited for:
- Trending markets
- Swing trading
- Identifying potential entry and exit points
- Understanding market volatility
### Recommended Markets
- Stocks
- Forex
- Cryptocurrencies
- Futures
## Customization
The script offers extensive customization:
- Adjust smoothness
- Change band multipliers
- Modify color schemes
- Enable/disable features like lag reduction
## Important Considerations for Beginners
🚨 **Disclaimer**:
- No indicator guarantees profits
- Always practice with a demo account first
- Learn and understand the indicator before live trading
- Market conditions change, so continually adapt your strategy
## Getting Started
1. Add the script to your TradingView chart
2. Experiment with different settings
3. Backtest on historical data
4. Start with small positions
5. Continuously learn and improve
Happy Trading! 📈🔍
Dual SuperTrend w VIX Filter - Strategy [presentTrading]Hey everyone! Haven't been here for a long time. Been so busy again in the past 2 months. I recently started working on analyzing the combination of trend strategy and VIX, but didn't get outstanding results after a few tries. Sharing this tool with all of you in case you have better insights.
█ Introduction and How it is Different
The Dual SuperTrend with VIX Filter Strategy combines traditional trend following with market volatility analysis. Unlike conventional SuperTrend strategies that focus solely on price action, this experimental system incorporates VIX (Volatility Index) as an adaptive filter to create a more context-aware trading approach. By analyzing where current volatility stands relative to historical norms, the strategy adjusts to different market environments rather than applying uniform logic across all conditions.
BTCUSD 6hr Long Short Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Dual SuperTrend Core
The strategy uses two SuperTrend indicators with different sensitivity settings:
- SuperTrend 1: Length = 13, Multiplier = 3.5
- SuperTrend 2: Length = 8, Multiplier = 5.0
The SuperTrend calculation follows this process:
1. ATR = Average of max(High-Low, |High-PreviousClose|, |Low-PreviousClose|) over 'length' periods
2. UpperBand = (High+Low)/2 - (Multiplier * ATR)
3. LowerBand = (High+Low)/2 + (Multiplier * ATR)
Trend direction is determined by:
- If Close > previous LowerBand, Trend = Bullish (1)
- If Close < previous UpperBand, Trend = Bearish (-1)
- Otherwise, Trend = previous Trend
🔶 VIX Analysis Framework
The core innovation lies in the VIX analysis system:
1. Statistical Analysis:
- VIX Mean = SMA(VIX, 252)
- VIX Standard Deviation = StdDev(VIX, 252)
- VIX Z-Score = (Current VIX - VIX Mean) / VIX StdDev
2. **Volatility Bands:
- Upper Band 1 = VIX Mean + (2 * VIX StdDev)
- Upper Band 2 = VIX Mean + (3 * VIX StdDev)
- Lower Band 1 = VIX Mean - (2 * VIX StdDev)
- Lower Band 2 = VIX Mean - (3 * VIX StdDev)
3. Volatility Regimes:
- "Very Low Volatility": VIX < Lower Band 1
- "Low Volatility": Lower Band 1 ≤ VIX < Mean
- "Normal Volatility": Mean ≤ VIX < Upper Band 1
- "High Volatility": Upper Band 1 ≤ VIX < Upper Band 2
- "Extreme Volatility": VIX ≥ Upper Band 2
4. VIX Trend Detection:
- VIX EMA = EMA(VIX, 10)
- VIX Rising = VIX > VIX EMA
- VIX Falling = VIX < VIX EMA
Local performance:
🔶 Entry Logic Integration
The strategy combines trend signals with volatility filtering:
Long Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bullish (trend = 1)
- AND selected VIX filter condition must be satisfied
Short Entry Condition:
- Both SuperTrend 1 AND SuperTrend 2 must be bearish (trend = -1)
- AND selected VIX filter condition must be satisfied
Available VIX filter rules include:
- "Below Mean + SD": VIX < Lower Band 1
- "Below Mean": VIX < VIX Mean
- "Above Mean": VIX > VIX Mean
- "Above Mean + SD": VIX > Upper Band 1
- "Falling VIX": VIX < VIX EMA
- "Rising VIX": VIX > VIX EMA
- "Any": No VIX filtering
█ Trade Direction
The strategy allows testing in three modes:
1. **Long Only:** Test volatility effects on uptrends only
2. **Short Only:** Examine volatility's impact on downtrends only
3. **Both (Default):** Compare how volatility affects both trend directions
This enables comparative analysis of how volatility regimes impact bullish versus bearish markets differently.
█ Usage
Use this strategy as an experimental framework:
1. Form a hypothesis about how volatility affects trend reliability
2. Configure VIX filters to test your specific hypothesis
3. Analyze performance across different volatility regimes
4. Compare results between uptrends and downtrends
5. Refine your volatility filtering approach based on results
6. Share your findings with the trading community
This framework allows you to investigate questions like:
- Are uptrends more reliable during rising or falling volatility?
- Do downtrends perform better when volatility is above or below its historical average?
- Should different volatility filters be applied to long vs. short positions?
█ Default Settings
The default settings serve as a starting point for exploration:
SuperTrend Parameters:
- SuperTrend 1 (Length=13, Multiplier=3.5): More responsive to trend changes
- SuperTrend 2 (Length=8, Multiplier=5.0): More selective filter requiring stronger trends
VIX Analysis Settings:
- Lookback Period = 252: Establishes a full market cycle for volatility context
- Standard Deviation Bands = 2 and 3 SD: Creates statistically significant regime boundaries
- VIX Trend Period = 10: Balances responsiveness with noise reduction
Default VIX Filter Selection:
- Long Entry: "Above Mean" - Tests if uptrends perform better during above-average volatility
- Short Entry: "Rising VIX" - Tests if downtrends accelerate when volatility is increasing
Feel Free to share your insight below!!!
MTF Signal XpertMTF Signal Xpert – Detailed Description
Overview:
MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions.
Detailed Explanation of How It Works:
Trend Detection via Moving Averages
Dual Moving Averages:
MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends.
Crossover Logic:
A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure.
Recent Crossover Confirmation:
To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy.
Volatility and Price Extremes with Bollinger Bands
Calculation of Bands:
Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility.
Signal Reinforcement:
For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals.
Momentum Confirmation Using Multiple Oscillators
RSI (Relative Strength Index):
The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions.
MACD (Moving Average Convergence Divergence):
The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation.
Awesome Oscillator (AO):
The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight.
ADX (Average Directional Index):
The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets.
Optional Stochastic Oscillator:
An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity.
Multi-Timeframe Verification
Higher Timeframe Filter:
To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals.
Dynamic Risk Management with ATR
ATR-Based Calculations:
The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions.
Visual SL/TP Markers:
The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points.
Optional Trailing Stop:
An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals.
Risk/Reward Ratio Calculation:
MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade.
Condition Weighting and Signal Scoring
Binary Condition Checks:
Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not).
Cumulative Scoring:
These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability.
Detailed Signal Explanation:
A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process.
On-Chart Visualizations and Debug Information
Chart Elements:
The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions.
Combined Dashboard:
A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic.
Debug Table (Optional):
For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement.
Mashup Justification and Originality
MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together:
Integrated Trend, Volatility, and Momentum Analysis:
By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals.
Multi-Timeframe Analysis:
The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals.
Adaptive Risk Management:
Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves.
Quantitative Signal Scoring:
The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision.
How to Use MTF Signal Xpert:
Input Customization:
Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions.
Enable or disable the optional stochastic oscillator and trailing stop based on your preference.
Interpreting the Signals:
When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal.
Review the SL and TP markers on the chart to understand the associated risk/reward setup.
Risk Management:
Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points.
Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade.
Debugging and Verification:
Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics.
Disclaimer:
MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance.
MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
[COG] WeatherForecaster🌤️ Just like a weather forecast that adjusts as new data emerges, this TMA Pivot Points Forecaster adapts to evolving market conditions!
Description:
This indicator combines the power of a Triple Moving Average (TMA) with pivot point analysis to identify potential market turning points and trend directions. Like a meteorologist using various atmospheric data to predict weather patterns, this tool analyzes price action through multiple lenses to forecast potential market movements.
Key Features:
- Dynamic TMA Line: Acts as our "atmospheric pressure system," showing the underlying market direction
- Adaptive Pivot Points: Like weather stations, these pivots identify key market levels where the "climate" might change
- Smart Entry Signals: ☀️ and 🌧️ icons appear when conditions align for potential trades
- Timeframe-Adaptive: Automatically adjusts sensitivity across different timeframes
- Customizable Visuals: Adjust colors and styles to match your trading environment
Settings Include:
✓ TMA Length and Slope Sensitivity
✓ Pivot Point Parameters
✓ Visual Customization Options
✓ Toggle Entry Signals
✓ Toggle Pivot Lines
Note: Like weather forecasts that update with new data, this indicator recalculates as market conditions evolve. Past signals may adjust as more price action develops. Always use proper risk management and combine with other analysis tools.
Usage Guide:
The indicator works best when used as part of a complete trading system. Here's how to interpret the signals:
📈 Bullish Conditions:
- TMA Line turns green: Indicates upward momentum
- "Buy above 🌋" level appears: Potential resistance turned support level
- ☀️ Signal: Indicates favorable buying conditions
📉 Bearish Conditions:
- TMA Line turns red: Indicates downward momentum
- "Sell below 🌋" level appears: Potential support turned resistance level
- 🌧️ Signal: Indicates favorable selling conditions
⏺️ Ranging Conditions:
- TMA Line turns yellow: Market in consolidation
- 💤 Signal: Suggests waiting for clearer direction
Best Practices:
1. Higher timeframes (4H, Daily) tend to produce more reliable signals
2. Use the pivot lines as potential entry/exit reference points
3. Adjust the TMA length based on your trading style:
• Shorter lengths (20-30) for more active trading
• Longer lengths (50-60) for trend following
Settings Explained:
TMA Settings:
- TMA Length: Determines the smoothing period (default: 30)
- Slope Threshold: Controls trend sensitivity (default: 0.015)
Pivot Settings:
- Left/Right Bars: Controls pivot point calculation
- Line Length: Adjusts the visual length of pivot lines
- Line Style & Colors: Customize the visual appearance
Disclaimer:
Past performance does not guarantee future results. This indicator, like any technical tool, provides possibilities rather than certainties. Please test thoroughly on your preferred timeframes and markets before using with real capital.
[c3s] Sk System CalculatorThe Sk System Calculator is a powerful trading tool designed to help you efficiently manage your trades by calculating the Stop Loss (SL) levels to break even and the first Take Profit (TP) targets. This indicator is ideal for traders looking to implement the SK System rules with ease and precision.
Key Features:
Amount in USD: Allows you to input the amount you wish to trade in USD.
Leverage: Adjust the leverage used in your trading strategy.
Percentage Calculation: Set the percentage for the next level calculation.
Dynamic Calculations: Automatically calculates the number of units based on the current price and leverage.
Break Even & TP1 Calculation: Provides the percentage values for when to move your SL to break even and the first TP level.
Clear Visual Display: Displays the calculated values in a user-friendly table on your chart.
This indicator simplifies your trading process by providing all the necessary calculations in one place, helping you to make more informed decisions and optimize your trading strategy.
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds.
⭕️ Key Features
Range Detection — identifies price ranges where consolidation is occurring.
Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure.
Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red.
Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges.
Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart.
Alerts — system will notify you when a range has been created and also when the price leaves the range.
⭕️ How it works
Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed.
Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes.
⭕️ Settings
Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point.
Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both.
Use Wick — Option to consider the wick of the candles when identifying Range.
Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close.
Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid.
Row Size — Number of levels to calculate POC. *Larger values increase the script load.
% Range Filter — Dont Show Range is than more N% of Average Range.
Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility.
Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points.
Range Start — Show points where Range was created.
Ultra Moving AverageThe Ultra Moving Average is a versatile technical indicator that combines various types of moving averages to analyze trends, providing multi-timeframe insights for traders. It offers four customizable moving averages and a trend strength table for enhanced decision-making.
Introduction
The Ultra Moving Average indicator is a powerful tool designed to help traders track market trends by offering a combination of four distinct moving averages. With flexible customization options, users can apply different types of moving averages like SMA, EMA, TEMA, and many more, across various timeframes. Additionally, it provides trend strength analysis through an intuitive visual table, helping traders quickly identify market conditions.
Detailed Description
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Moving Averages
Each of the four moving averages is independently configurable. You can select the timeframe, type, length, color, and width to match your trading strategy.
The types of moving averages range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA).
Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader .
I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA.
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Trend Visualization
The indicator uses color-coding to visually represent whether the price is in an uptrend or downtrend. Bullish trends are highlighted in one color, while bearish trends appear in another, making it easy to interpret.
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Trend Strength Table
One of the unique features of the Ultra Moving Average is the trend strength table at the bottom of the chart. This table breaks down the strength of the fast, mid, and slow moving averages, displaying them as percentages. It also shows the overall "trend power," which helps assess how strong or weak the current trend is.
You have the option to calculate trends using live data or the previous bar's data, offering flexibility in how the indicator reacts to market changes. This can help traders make more responsive decisions based on real-time trends.
The table displays trend strength across three timeframes Fast, Mid, and Slow by calculating the percentage difference between the price and each of the moving averages (MA1, MA3, MA4).
The Power row shows the average of these percentages, representing overall trend strength.
The percentages are calculated relative to their maximum values in history (limited by TradingView subscription), providing insight into the trend's strength for each timeframe.
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Overall, the Ultra Moving Average indicator is a comprehensive tool that combines multiple moving average types and advanced trend analysis, helping traders identify market direction and strength at a glance. With its intuitive visualization and flexible settings, it's suited for both beginner and experienced traders.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him for creating and sharing this function!
Dual SMA/EMA BandsThe Dual SMA/EMA Bands indicator provides a clear view of market trends, combining Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) in one customizable tool. Designed for any timeframe, it features Aqua and Purple Bands for 50-period and 200-period averages , respectively, aiding in trend analysis and volatility insights.
Features:
Adaptive Timeframes : Automatically aligns with the chart’s timeframe or can be manually set for cross-timeframe analysis.
Customization : Offers easy adjustments for colors, line thickness, and opacity to suit personal preferences and enhance readability.
Insights : Facilitates trend confirmation and volatility assessment, essential for informed trading decisions.
Usage Tips:
Use the bands to gauge market direction; above the bands suggests bullish conditions, below them indicates bearish trends.
The gap between EMA and SMA within each band can signal market volatility.
Apply customizable timeframes for a comprehensive market overview.
Conclusion:
With its straightforward setup and versatile application, the Dual SMA/EMA Bands indicator is a valuable tool for traders looking to deepen their market analysis and uncover trading opportunities.
Bitcoin Momentum StrategyThis is a very simple long-only strategy I've used since December 2022 to manage my Bitcoin position.
I'm sharing it as an open-source script for other traders to learn from the code and adapt it to their liking if they find the system concept interesting.
General Overview
Always do your own research and backtesting - this script is not intended to be traded blindly (no script should be) and I've done limited testing on other markets beyond Ethereum and BTC, it's just a template to tweak and play with and make into one's own.
The results shown in the strategy tester are from Bitcoin's inception so as to get a large sample size of trades, and potential returns have diminished significantly as BTC has grown to become a mega cap asset, but the script includes a date filter for backtesting and it has still performed solidly in recent years (speaking from personal experience using it myself - DYOR with the date filter).
The main advantage of this system in my opinion is in limiting the max drawdown significantly versus buy & hodl. Theoretically much better returns can be made by just holding, but that's also a good way to lose 70%+ of your capital in the inevitable bear markets (also speaking from experience).
In saying all of that, the future is fundamentally unknowable and past results in no way guarantee future performance.
System Concept:
Capture as much Bitcoin upside volatility as possible while side-stepping downside volatility as quickly as possible.
The system uses a simple but clever momentum-style trailing stop technique I learned from one of my trading mentors who uses this approach on momentum/trend-following stock market systems.
Basically, the system "ratchets" up the stop-loss to be much tighter during high bearish volatility to protect open profits from downside moves, but loosens the stop loss during sustained bullish momentum to let the position ride.
It is invested most of the time, unless BTC is trading below its 20-week EMA in which case it stays in cash/USDT to avoid holding through bear markets. It only trades one position (no pyramiding) and does not trade short, but can easily be tweaked to do whatever you like if you know what you're doing in Pine.
Default parameters:
HTF: Weekly Chart
EMA: 20-Period
ATR: 5-period
Bar Lookback: 7
Entry Rule #1:
Bitcoin's current price must be trading above its higher-timeframe EMA (Weekly 20 EMA).
Entry Rule #2:
Bitcoin must not be in 'caution' condition (no large bearish volatility swings recently).
Enter at next bar's open if conditions are met and we are not already involved in a trade.
"Caution" Condition:
Defined as true if BTC's recent 7-bar swing high minus current bar's low is > 1.5x ATR, or Daily close < Daily 20-EMA.
Trailing Stop:
Stop is trailed 1 ATR from recent swing high, or 20% of ATR if in caution condition (ie. 0.2 ATR).
Exit on next bar open upon a close below stop loss.
I typically use a limit order to open & exit trades as close to the open price as possible to reduce slippage, but the strategy script uses market orders.
I've never had any issues getting filled on limit orders close to the market price with BTC on the Daily timeframe, but if the exchange has relatively low slippage I've found market orders work fine too without much impact on the results particularly since BTC has consistently remained above $20k and highly liquid.
Cost of Trading:
The script uses no leverage and a default total round-trip commission of 0.3% which is what I pay on my exchange based on their tier structure, but this can vary widely from exchange to exchange and higher commission fees will have a significantly negative impact on realized gains so make sure to always input the correct theoretical commission cost when backtesting any script.
Static slippage is difficult to estimate in the strategy tester given the wide range of prices & liquidity BTC has experienced over the years and it largely depends on position size, I set it to 150 points per buy or sell as BTC is currently very liquid on the exchange I trade and I use limit orders where possible to enter/exit positions as close as possible to the market's open price as it significantly limits my slippage.
But again, this can vary a lot from exchange to exchange (for better or worse) and if BTC volatility is high at the time of execution this can have a negative impact on slippage and therefore real performance, so make sure to adjust it according to your exchange's tendencies.
Tax considerations should also be made based on short-term trade frequency if crypto profits are treated as a CGT event in your region.
Summary:
A simple, but effective and fairly robust system that achieves the goals I set for it.
From my preliminary testing it appears it may also work on altcoins but it might need a bit of tweaking/loosening with the trailing stop distance as the default parameters are designed to work with Bitcoin which obviously behaves very differently to smaller cap assets.
Good luck out there!
LuxAlgo - Backtester (PAC)The PAC Backtester is an innovative strategy script that allows users to create a wide variety of strategies derived from price action-related concepts for a data-driven approach to discretionary trading strategies.
Thanks to our 'Step' and 'Match' algorithm, users can create custom and complex strategy entries and exits from features such as market structure, order blocks, imbalances, as well as any external indicators, allowing users to create entries from a sequence of conditions and/or multiple matching conditions.
We included a complete alert system that will send a notification for each action taken by the strategy and we also allow users to set custom messages for each action taken by a strategy.
🔶 Features
🔹 Step & Match Algorithm
More complex entry rules can be created by using multiple conditions together, this is done thanks to the Step dropdown setting on the right of each condition.
The Step setting is directly related to the Step & Match algorithm and works in two ways:
When two or more conditions have the same step number, both conditions are evaluated. Used to test matching conditions.
When two or more conditions have different step numbers, each condition will be evaluated in order, testing for the first step and switching to the next step once the previous one is true. When the final step is true the strategy will open a market order. Used to create a sequence of conditions.
This operation is complementary, as you can create a sequence of conditions with one step consisting of two or more matching conditions as long as they have the same step number.
🔹 Fully Customizable Price Action Concepts As Entries
We allow the users to use market structures, order blocks, imbalances, and external sources together to set their custom entry and exit conditions.
Market structures are commonly used to determine trend direction by indicating when prices break prior swing points. Their occurrence can be used as entry conditions.
Order blocks highlight areas where institutional market participants open positions, one can use order blocks to determine confirmation entries or potential targets as we can expect there is a large amount of liquidity at these order blocks. Price entering, being within, or mitigating an order block can be used as an entry condition.
Market imbalances highlight areas where there is a disparity between supply and demand. Price entering, being within, or mitigating an imbalance can be used as an entry condition.
This system also allows the use of external sources to create entry and exit conditions, such as moving averages, bands, trailing stops...etc.
🔹 Complete Alert System
Users can get alerted for any action executed by a strategy, from opening positions to closing them.
The message field in the Alert Messages setting section allows for the strategy to send a custom alert message depending on the action taken by the strategy, if no messages are set the strategy will send default messages.
🔶 Usage
Users can create complete price action strategies from this script, let's see an example using the following entry conditions:
Long: Mitigated bearish order block occurring during the New York session after a mitigated bearish imbalance.
Short: Mitigated bullish order block occurring during the New York session after a mitigated bullish imbalance.
Take Profit: 2 points away from the entry price.
Stop Loss: 1 point away from the entry price.
We can also use features from Price Action Concepts™ to construct custom exit conditions, leading to the following strategy conditions:
Long: Bullish CHoCH and price mitigates bearish FVG.
Short: Bearish CHoCH and price mitigates bullish FVG.
Exit Long: Price mitigates bearish order block.
Exit Short: Price mitigates bullish order block.
Users can achieve a wide variety of results by using external indicators as an input source for entries and exits, combining the best from price action and technical indicators. We might for example be interested in exiting a position when the RSI oscillator is overbought or oversold.
🔶 Strategy Properties (Important)
This script backtest is done on daily EURGBP, using the following backtesting properties:
Balance (default): 10 000 (default base currency)
Order Size: 10% of the equity
Comission: 3.4 pips (average spread for EURGBP)
Slippage: 1 tick
Stop Loss: 0.01 points away from entry price
We use these properties to ensure a realistic preview of the backtesting system, do note that default properties can be different for various reasons described below:
Order Size: 1 contract by default, this is to allow the strategy to run properly on most instruments such as futures.
Comission: Comission can vary depending on the market and instrument, there is no default value that might return realistic results.
We strongly recommend all users to ensure they adjust the Properties within the script settings to be in line with their accounts & trading platforms of choice to ensure results from strategies built are realistic.
🔶 How to access
You can see the Author's Instructions below to learn how to get access.
