kiro steering, live training wip

.kiro/steering/product.md

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+# 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)