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README_LAUNCH_MODES.md

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+# Trading System - Launch Modes Guide
+
+## Overview
+The unified trading system now provides clean, modular launch modes optimized for scalping and multi-timeframe analysis.
+
+## Available Modes
+
+### 1. Test Mode
+```bash
+python main_clean.py --mode test
+```
+- Tests enhanced data provider with multi-timeframe indicators
+- Validates feature matrix creation (26 technical indicators)
+- Checks data provider health and caching
+- **Use case**: System validation and debugging
+
+### 2. CNN Training Mode
+```bash
+python main_clean.py --mode cnn --symbol ETH/USDT
+```
+- Trains CNN models only
+- Prepares multi-timeframe, multi-symbol feature matrices
+- Supports timeframes: 1s, 1m, 5m, 1h, 4h
+- **Use case**: Isolated CNN model development
+
+### 3. RL Training Mode  
+```bash
+python main_clean.py --mode rl --symbol ETH/USDT
+```
+- Trains RL agents only
+- Focuses on 1s scalping data
+- Optimized for short-term decision making
+- **Use case**: Isolated RL agent development
+
+### 4. Combined Training Mode
+```bash
+python main_clean.py --mode train --symbol ETH/USDT
+```
+- Trains both CNN and RL models sequentially
+- First runs CNN training, then RL training
+- **Use case**: Full model pipeline training
+
+### 5. Live Trading Mode
+```bash
+python main_clean.py --mode trade --symbol ETH/USDT
+```
+- Runs live trading with 1s scalping focus
+- Real-time data streaming integration
+- **Use case**: Production trading execution
+
+### 6. Web Dashboard Mode
+```bash
+python main_clean.py --mode web --demo --port 8050
+```
+- Enhanced scalping dashboard with 1s charts
+- Real-time technical indicators visualization
+- Scalping demo mode with realistic decisions
+- **Use case**: System monitoring and visualization
+
+## Key Features
+
+### Enhanced Data Provider
+- **26 Technical Indicators** including:
+  - Trend: SMA, EMA, MACD, ADX, PSAR
+  - Momentum: RSI, Stochastic, Williams %R
+  - Volatility: Bollinger Bands, ATR, Keltner Channels
+  - Volume: OBV, MFI, VWAP, Volume profiles
+  - Custom composites for trend/momentum
+
+### Scalping Optimization
+- **Primary timeframe: 1s** (falls back to 1m, 5m)
+- High-frequency decision making
+- Precise buy/sell marker positioning
+- Small price movement detection
+
+### Memory Management
+- **8GB total memory limit** with per-model limits
+- Automatic cleanup and GPU/CPU fallback
+- Model registry with memory tracking
+
+### Multi-Timeframe Architecture
+- **Unified feature matrix**: (n_timeframes, window_size, n_features)
+- Common feature set across all timeframes
+- Consistent shape validation
+
+## Quick Start Examples
+
+### Test the enhanced system:
+```bash
+python main_clean.py --mode test
+# Expected output: Feature matrix (2, 20, 26) with 26 indicators
+```
+
+### Start scalping dashboard:
+```bash
+python main_clean.py --mode web --demo
+# Access: http://localhost:8050
+# Shows 1s charts with scalping decisions
+```
+
+### Prepare CNN training data:
+```bash
+python main_clean.py --mode cnn
+# Prepares multi-symbol, multi-timeframe matrices
+```
+
+### Setup RL training environment:
+```bash
+python main_clean.py --mode rl  
+# Focuses on 1s scalping data
+```
+
+## Technical Improvements
+
+### Fixed Issues
+✅ **Feature matrix shape mismatch** - Now uses common features across timeframes  
+✅ **Buy/sell marker positioning** - Properly aligned with chart timestamps  
+✅ **Chart timeframe** - Optimized for 1s scalping with fallbacks  
+✅ **Unicode encoding errors** - Removed problematic emoji characters  
+✅ **Launch configuration** - Clean, modular mode selection  
+
+### New Capabilities
+🚀 **Enhanced indicators** - 26 vs previous 17 features  
+🚀 **Scalping focus** - 1s timeframe with dense data points  
+🚀 **Separate training** - CNN and RL can be trained independently  
+🚀 **Memory efficiency** - 8GB limit with automatic management  
+🚀 **Real-time charts** - Enhanced dashboard with multiple indicators  
+
+## Integration Notes
+
+- **CNN modules**: Connect to `run_cnn_training()` function
+- **RL modules**: Connect to `run_rl_training()` function  
+- **Live trading**: Integrate with `run_live_trading()` function
+- **Custom indicators**: Add to `_add_technical_indicators()` method
+
+## Performance Specifications
+
+- **Data throughput**: 1s candles with 200+ data points
+- **Feature processing**: 26 indicators in < 1 second
+- **Memory usage**: Monitored and limited per model
+- **Chart updates**: 2-second refresh for real-time display
+- **Decision latency**: Optimized for scalping (< 100ms target)