TradeCoach AI Feature Guide

Describe your trading strategy in natural language in the AI chat, and AI automatically converts it into a structured JSON strategy. You can combine various indicators like RSI, MACD, Bollinger Bands, and upload chart images for AI pattern recognition.

Backtest your strategy with real Binance Futures price data. Simulates actual futures trading with leverage (1x-125x), long/short, partial exits, trailing stops, and liquidation. Results include total return, MDD, Sharpe Ratio, Profit Factor, and more.

Specify ranges for leverage, TP/SL ratios, and indicator parameters. All combinations are automatically backtested to find optimal parameters. Choose objective function (Sharpe, Calmar, Profit Factor) and see top 10 results. Click 'Apply' to instantly update your strategy.

Good backtest results don't guarantee real performance. Walk-Forward splits data into training (In-Sample) and validation (Out-of-Sample), checking if optimal parameters from training work in validation too. OOS/IS ratio above 50% = Pass (no overfitting). Multiple windows verify strategy robustness.

Test your strategy in real-time with virtual capital. Receives live prices via Binance Futures WebSocket, and the DDIF strategy engine automatically generates buy/sell signals. Monitor positions, balance, and unrealized PnL in real-time.

Register your strategy as a cNFT on Solana blockchain. The SHA256 hash is recorded on-chain, making it tamper-proof. Trading signals are compressed into Merkle Trees for transparent verification. State Compression technology keeps costs to ~$1 for 1M records.

Get AI coaching in the chat panel on the strategy detail page. Request changes like 'change TP to 20%' or 'recommend optimization ranges' in natural language. AI automatically guides risk management, indicator combinations, and leverage risks.