지표
RSI
Breakout
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ATR
Commodities
Supertrend
Crypto
BTCUSD
Prediction Based on Linreg & ATR
"Prediction Based on Linreg &  ATR" 로고
03/09/2025
110
Desktop
Since 03/10/2024
판매
102
Free installs
14932
"Prediction Based on Linreg &  ATR" 업로드된 이미지"Prediction Based on Linreg &  ATR" 업로드된 이미지"Prediction Based on Linreg &  ATR" 업로드된 이미지"Prediction Based on Linreg &  ATR" 업로드된 이미지"Prediction Based on Linreg &  ATR" 업로드된 이미지

Pinescriptlabs Store indicators:                        🤖Pinescriptlabs  Store cBots :


 ICT Power of 3  (cBot) Gold & BTC BreakoutSession Pivots(new)YieldShield

SmartTrend Support &
Resistance Lines
       

Fair Value Gap Sessions                      
       

ZigZag

 BOS & CHOCH

RSI Trend Trigger

Channel Breakout System

Supertrend

Market Imbalance

Adaptive Trend Channel 

Dynamic Market Structure
Analysis of Turning Points

Order Block

Fibonacci Linear
Regression Multi-timeframe

Volume POC Heatmap

Dynamic RSI

Momentum Fair Value Gap

Market Flow Projection

Dynamic Trend Gradient

Multi-Level Candle Bias
Tracker

Zig-Zag Extremity Tracker

Reactive Moving Average

Auto-Trend Channel

Auto Support and
Resistance Trend Lines

All Support and
Resistance Levels

Leverage Liquidation Map

Zones Supply Demand

Dynamic Range Momentum


📈 Multi-Timeframe Regression Channel & ATR Prediction Algorithm

This system predicts an asset's potential price movement by combining multi-timeframe trend analysis 📊, market volatility 📉, and technical indicator confirmation ✅. Its goal is to project a future price range with measurable confidence, ideal for identifying high-probability risk-reward opportunities 💰.

🔧 How It Works Step by Step

1️⃣ Multi-Timeframe Trend Analysis

  • Regression Channels Across Timeframes:
    The algorithm simultaneously analyzes four different timeframes (from short to long-term). For each:
    • Calculates a statistical trend line based on historical price behavior.
    • Defines a prediction channel around this line (using past volatility to set upper/lower bounds).
  • Hierarchical Influence:
    Shorter timeframes carry more weight in the final direction, reflecting their sensitivity to recent movements.

2️⃣ Volatility Integration (ATR) 🌊

  • Dynamic Volatility Adjustment:
    Predictions adapt to current market conditions:
    • High volatility → Wider projections
    • Low volatility → Conservative adjustments
  • Future Range Scaling:
    The prediction band automatically adjusts based on expected volatility.

3️⃣ Trend Confirmation System ✅

Combines four key signals to validate or challenge the regression-based direction:

  • Moving Average Crosses (trend confirmation)
  • Momentum Oscillators (strength assessment)
  • Volatility Indicators (overbought/oversold detection)
  • Divergence Analysis (trend reversal clues)
  • Output: A scoring system that reinforces or questions the predicted trend.

4️⃣ Confidence Calculation 🎯

  • Timeframe Alignment:
    Confidence increases when trends agree across timeframes.
  • User-Defined Threshold:
    Traders can set a minimum confidence level to filter only high-certainty signals.

5️⃣ Intuitive Visualization 📉📈

  • Prediction Line:
    Shows the central expected path (green = bullish 🟢, red = bearish 🔴, gray = neutral ⚪).
  • Range Bands:
    Highlight the most probable price movement zone, adjusted for volatility.
  • Info Label:
    Summarizes projected price, range, direction, and confidence level.

🌟 Key Advantages

  • Multi-Dimensional Approach: Combines trend, volatility & momentum to reduce false signals.
  • Self-Adjusting: Adapts to choppy or trending markets automatically.
  • Transparent Metrics: Quantifiable confidence helps manage expectations.

📌 Practical Example

If the system detects:

  • Bullish trend in short timeframes + momentum confirmation
  • Low recent volatility
  • Strong timeframe agreement
    → Projects a price rise with a tight band and high confidence (e.g., 85%) 🚀
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