OPEN-SOURCE SCRIPT

Price Action Fractal Forecasts [AlgoAlpha]

Updated
🔮 Price Action Fractal Forecasts [AlgoAlpha] - Unleash the Power of Historical Patterns! 🌌✨

Dive into the future with AlgoAlpha's Price Action Fractal Forecasts! This innovative indicator utilizes the mesmerizing complexity of fractals to predict future price movements, offering traders a unique edge in the market. By analyzing historical price action and identifying repeating patterns, this tool forecasts future price trends, providing visually engaging and actionable insights.

Key Features:
  • 🔄 Flexible Data Series Selection: Choose your preferred data series for precise analysis.
  • 🕰 Flexible Training and Reference Data Windows: Customize the length of training data and reference periods to match your trading style.
  • 📈 Custom Forecast Length: Adjust the forecast horizon to suit your strategic objectives.
  • 🌈 Customizable Visual Elements: Tailor the colors of forecast deviation cones, data reference areas, and more for optimal chart readability.
  • 🔄 Anticipatory and Repetitive Forecast Modes: Select between anticipating future trends or identifying repetitive patterns for forecasts.
  • 🔎 Enhanced Similarity Search: Leverages correlation metrics to find the most similar historical data segments.
  • 📊 Forecast Deviation Cone: Visualize potential price range deviations with adjustable multipliers.


🚀 Quick Guide to Maximizing Your Trading with Price Action Fractal Forecasts:

🛠 Add the Indicator: Search for "Price Action Fractal Forecasts" in TradingView's Indicators & Strategies. Customize settings according to your trading strategy.
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📊 Strategic Forecasting: Monitor the forecast deviation cone and forecast directional changes for insights into potential future price movements.
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🔔 Alerts for Swift Action: Set up notifications based on forecast changes to stay ahead of market movements without constant monitoring.
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Behind the Magic: How It Works
The core of the Price Action Fractal Forecasts lies in its ability to compare current market behavior with historical data to unearth similar patterns. It first establishes a training data window to analyze historical prices. Within this window, it then defines a reference length to identify the most recent price action that will serve as the basis for comparison. The indicator searches through the historical data within the training window to find segments that closely match the recent price action in the reference period.

Depending on whether you choose the anticipatory or repetitive forecast mode, the indicator either looks ahead to predict future prices based on past outcomes following similar patterns or focuses on the repeating patterns within the reference period itself for forecasts. The forecast's direction can be configured to reflect the mean average of forecasted prices or the end-point relative to the start-point of the forecast, offering flexibility in how forecasts are interpreted.
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To enhance the comprehensiveness and visualization, the indicator features a forecast deviation cone. This cone represents the potential range of price movements, providing a visual cue for volatility and uncertainty in the forecasted prices. The intensity of this cone can be adjusted to suit individual preferences, offering a visual guide to the level of risk and uncertainty associated with the forecasted price path.
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Embrace the fractal magic of markets with AlgoAlpha's Price Action Fractal Forecasts and transform your trading today! 🌟🚀
Release Notes
updated the default settings to be less stressful on the script memory, to reduce timeouts and loading time
Release Notes
Fixed typo
Release Notes
Updated the correlation calculations
Release Notes
reverted the calculations back by 1 version
algoalphaChart patternsforecastingforecastingtechniquesfractalsmarketHarmonic Patternspredictionpriceactionpriceactionanalysistechincalanalysistrendfollowertrendfollowing

Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in publication is governed by House rules. You can favorite it to use it on a chart.

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