# Product Overview

## Clean Trading System

A modular cryptocurrency trading system that uses deep learning (CNN and RL models) for multi-timeframe market analysis and automated trading decisions.

## Core Capabilities

- **Multi-timeframe analysis**: 1s, 1m, 5m, 1h, 4h, 1d scalping with focus on ultra-fast execution
- **Neural network models**: CNN for pattern recognition, RL/DQN for trading decisions, Transformer for long-range dependencies
- **Real-time trading**: Live market data from multiple exchanges (Binance, Bybit, Deribit, MEXC)
- **Web dashboard**: Real-time monitoring, visualization, and training controls
- **Multi-horizon predictions**: 1m, 5m, 15m, 60m prediction horizons with deferred training

## Key Subsystems

### COBY (Cryptocurrency Order Book Yielder)
Multi-exchange data aggregation system that collects real-time order book and OHLCV data, aggregates into standardized formats, and provides both live feeds and historical replay.

### NN (Neural Network Trading)
500M+ parameter system using Mixture of Experts (MoE) approach with CNN (100M params), Transformer, and RL models for pattern detection and trading signals.

### ANNOTATE
Manual trade annotation UI for marking profitable buy/sell signals on historical data to generate high-quality training test cases.

## Critical Policy

**NO SYNTHETIC DATA**: System uses EXCLUSIVELY real market data from cryptocurrency exchanges. No synthetic, generated, simulated, or mock data is allowed for training, testing, or inference. Zero tolerance policy.

## Trading Modes

- **Simulation**: Paper trading with simulated account
- **Testnet**: Exchange testnet environments
- **Live**: Real money trading (requires explicit configuration)

## Primary Symbols

- ETH/USDT (main trading pair for signal generation)
- BTC/USDT (reference for correlation analysis)
- SOL/USDT (reference for correlation analysis)