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Bayesian Price Projection Model
"Bayesian Price Projection Model" logosu
03/10/2025
1
Desktop
Since 03/10/2024
Satışlar
102
Free installs
15055
"Bayesian Price Projection Model" yüklenen resmi"Bayesian Price Projection Model" yüklenen resmi"Bayesian Price Projection Model" yüklenen resmi"Bayesian Price Projection Model" yüklenen resmi

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Discover why professionals choose us – the most powerful tools on cTrader (indicators, algorithms, and cBots) are waiting for you.

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📌 Market Structure Indicators

·     ✅ AdvancedMarket Structure: Bos, Choch, SwinLevels, Order Blocks,  Market Structure& Liquidity Finder

·     🔄 Dynamic Market StructureAnalysis of Turning Points

·     🧱 Order Block

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·     ⛓️ BOS & CHOCH

·     🧠 ICT Power of 3

·     🌀 Market Polarity Zones

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🔚 Smart Exit Systems

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💧 Volume & Liquidity Tools

·     🔥 Volume POC Heatmap

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·     🔍 Momentum Fair Value Gap

·     🕒 Fair Value Gap Sessions

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Momentum & RSI Indicators

·     📈 RSI Trend Trigger

·     🚀 Dynamic Range Momentum

·     🔎 Multi-Level Candle Bias
Tracker

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🔮 Prediction & Projection Tools

·     📐 Prediction Based on Linreg& ATR

·     📏 Fibonacci Linear RegressionMulti-timeframe

·     📈 Volume-Powered Market Flow Projector

📊 Dynamic Price Projection Algorithm 📈

This algorithm combines **statistical calculations**, **technical analysis**, and **Bayesian theory** to forecast a future price while providing **uncertainty ranges** that represent upper and lower bounds. The calculations are designed to adjust projections by considering market **trends**, **volatility**, and the historical probabilities of reaching new highs or lows.

Here’s how it works:

🚀 Future Price Projection
A dynamic calculation estimates the future price based on three key elements:
1. **Trend**: Defines whether the market is predisposed to move up or down.
2. **Volatility**: Quantifies the magnitude of the expected change based on historical fluctuations.



🧠 **Bayesian Probabilistic Adjustment**
- Conditional probabilities are calculated using **Bayes' formula**:
\[
P(A|B) = \frac{P(B|A) \cdot P(A)}{P(B)}
\]
This models future events using conditional information:
- **Probability of reaching a new all-time high** if the price is trending upward.
- **Probability of reaching a new all-time low** if the price is trending downward.

- These probabilities refine the future price estimate by considering:
- **Higher volatility** increases the likelihood of hitting extreme levels (highs/lows).
- **Market trends** influence the expected price movement direction.



🌟 **Volatility Calculation**
- Volatility is measured using the **ATR (Average True Range)** indicator with a 14-period window. This reflects the average amplitude of price fluctuations.
- To express volatility as a percentage, the ATR is normalized by dividing it by the closing price and multiplying it by 200.
- Volatility is then categorized into descriptive levels (e.g., **Very Low**, **Low**, **Moderate**, etc.) for better interpretation.

---

🎯 **Deviation Limits (Upper and Lower)**
- The upper and lower limits form a **projected range** around the estimated future price, providing a framework for uncertainty.
- These limits are calculated by adjusting the ATR using:
- A user-defined **multiplier** (`factor_desviacion`).
- **Bayesian probabilities** calculated earlier.
- The **square root of the projected period** (`proyeccion_dias`), incorporating the principle that uncertainty grows over time.


🔍 **Interpreting the Model**
This can be seen as a **dynamic probabilistic model** that:
- Combines **technical analysis** (trends and ATR).
- Refines probabilities using **Bayesian theory**.
- Provides a **visual projection range** to help you understand potential future price movements and associated uncertainties.

⚡ Whether you're analyzing **volatile markets** or confirming **bullish/bearish scenarios**, this tool equips you with a robust, data-driven approach! 🚀

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