static/pages/trading-assistant/STRATEGIES_README.md

# Trading Strategies Documentation

## Overview
This module implements advanced hybrid trading strategies for cryptocurrency markets, with robust error handling and fallback mechanisms.

## Standard Strategies

### 1. Trend + RSI + MACD
- **Indicators**: EMA20, EMA50, RSI, MACD
- **Timeframes**: 4h, 1d
- **Risk Level**: Medium
- **Description**: Combines trend analysis with momentum indicators

### 2. Bollinger Bands + RSI
- **Indicators**: BB, RSI, Volume
- **Timeframes**: 1h, 4h
- **Risk Level**: Low
- **Description**: Mean reversion strategy with volatility bands

### 3. EMA + Volume + RSI
- **Indicators**: EMA12, EMA26, Volume, RSI
- **Timeframes**: 1h, 4h, 1d
- **Risk Level**: Medium
- **Description**: Momentum strategy with volume confirmation

### 4. Support/Resistance + Fibonacci
- **Indicators**: S/R, Fibonacci, Volume
- **Timeframes**: 4h, 1d, 1w
- **Risk Level**: High
- **Description**: Price action with Fibonacci retracement levels

### 5. MACD + Stochastic + EMA
- **Indicators**: MACD, Stochastic, EMA9, EMA21
- **Timeframes**: 1h, 4h
- **Risk Level**: Medium
- **Description**: Triple momentum confirmation strategy

## Advanced Strategies

### 6. Ensemble Multi-Timeframe ⭐
- **Indicators**: RSI, MACD, EMA, Volume, BB
- **Timeframes**: 15m, 1h, 4h, 1d
- **Risk Level**: Medium
- **Description**: Combines multiple timeframes with ensemble voting
- **Algorithm**: Uses voting system across multiple indicators and timeframes

### 7. Volume Profile + Order Flow ⭐
- **Indicators**: Volume, OBV, VWAP, Price Action
- **Timeframes**: 1h, 4h, 1d
- **Risk Level**: High
- **Description**: Price action with volume analysis and order flow
- **Algorithm**: Analyzes volume distribution and order flow patterns

### 8. Adaptive Breakout ⭐
- **Indicators**: ATR, BB, Volume, Support/Resistance
- **Timeframes**: 4h, 1d
- **Risk Level**: Medium
- **Description**: Dynamic breakout detection with volatility adjustment
- **Algorithm**: Adjusts breakout thresholds based on market volatility

### 9. Mean Reversion + Momentum Filter ⭐
- **Indicators**: RSI, Stochastic, MACD, EMA
- **Timeframes**: 1h, 4h
- **Risk Level**: Low
- **Description**: Mean reversion with momentum confirmation filter
- **Algorithm**: Combines oversold/overbought conditions with momentum confirmation

### 10. S/R Breakout with Confirmation ⭐
- **Indicators**: S/R, Volume, RSI, MACD, EMA
- **Timeframes**: 4h, 1d
- **Risk Level**: High
- **Description**: Support/Resistance breakout with multi-indicator confirmation
- **Algorithm**: Confirms breakouts with multiple technical indicators

## Error Handling & Fallback

### Fallback Mechanisms
1. **Strategy Fallback**: If selected strategy fails, falls back to basic analysis
2. **API Fallback**: If market API fails, uses cached/default price data
3. **Indicator Fallback**: If indicator calculation fails, uses safe defaults

### Error Recovery
- All strategies include try-catch blocks
- Invalid data is handled gracefully
- Fallback data ensures system never crashes
- User-friendly error messages displayed

## Usage Example

```javascript
import { analyzeWithStrategy } from './trading-strategies.js';

const marketData = {
  price: 50000,
  volume: 1000000,
  high24h: 52000,
  low24h: 48000,
};

const analysis = analyzeWithStrategy('BTC', 'ensemble-multitimeframe', marketData);
console.log(analysis);
```

## Performance Considerations

- All calculations are optimized for real-time analysis
- Fallback mechanisms ensure low latency
- Error handling prevents crashes
- Memory-efficient indicator calculations

## Scientific Basis

All strategies are based on:
- Academic research on technical analysis
- Backtested methodologies
- Proven indicator combinations
- Market microstructure theory