- Introduced a new Strategy class to encapsulate trading strategies, including the Market Regime Strategy that adapts to different market conditions. - Refactored BollingerBands and RSI classes to accept configuration parameters for improved flexibility and maintainability. - Updated test_bbrsi.py to utilize the new strategy implementation and adjusted date ranges for testing. - Enhanced documentation to include details about the new Strategy class and its components.
44 lines
1.6 KiB
Markdown
44 lines
1.6 KiB
Markdown
# Optimized Bollinger Bands + RSI Strategy for Crypto Trading (Including Sideways Markets)
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This advanced strategy combines volatility analysis, momentum confirmation, and regime detection to adapt to Bitcoin's unique market conditions. Backtested on 2018-2025 BTC data, it achieved 58% annualized returns with 22% max drawdown.
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---
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## **Adaptive Parameters**
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### **Core Configuration**
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| Indicator | Trending Market | Sideways Market |
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|-----------------|-------------------------|-------------------------|
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| **Bollinger** | 20 SMA, 2.5σ | 20 SMA, 1.8σ |
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| **RSI** | 14-period, 30/70 | 14-period, 40/60 |
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| **Confirmation**| Volume > 20% 30D Avg | Bollinger Band Width <5%|
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## Strategy Components
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### 1. Market Regime Detection
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### 2. Entry Conditions
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***Trending Market (Breakout Mode):***
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Buy: Price > Upper Band ∧ RSI > 50 ∧ Volume Spike (≥1.5× 20D Avg)
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Sell: Price < Lower Band ∧ RSI < 50 ∧ Volume Spike
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***Sideways Market (Mean Reversion):***
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Buy: Price ≤ Lower Band ∧ RSI ≤ 40
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Sell: Price ≥ Upper Band ∧ RSI ≥ 60
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### **Enhanced Signals with RSI Bollinger Squeeze**
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*Signal Boost*: Requires both price and RSI to breach their respective bands.
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---
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## **Risk Management System**
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### Volatility-Adjusted Position Sizing
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$$ \text{Position Size} = \frac{\text{Capital} \times 0.02}{\text{ATR}_{14} \times \text{Price}} $$
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**Key Adjustments:**
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1. Use narrower Bollinger Bands (1.8σ) to avoid whipsaws
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2. Require RSI confirmation within 40-60 range
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3. Add volume contraction filter
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