Elevator pitch Backtest and deploy algorithmic trading strategies with real-time market data integration and performance analytics.
Industry FinTech / Algorithmic Trading
Problem
- Manual backtesting is time-consuming and error-prone.
- Deploying strategies across multiple exchanges requires complex integrations.
Solution
- Unified backtesting engine with historical data replay and optimization.
- One-click deployment to live trading with risk controls and monitoring.
Tools
market-data-fetcher: Pulls OHLCV data from multiple exchanges (returns normalized candles).backtest-engine: Simulates strategy execution against historical data (returns P&L, drawdown, Sharpe).order-executor: Places live trades with position sizing and stop-loss logic (returns execution status).portfolio-monitor: Tracks open positions, equity curve, and risk metrics in real-time.
Widgets
/dashboard: Live equity curve, win rate, and active position summary./strategy-builder: Visual rule editor for entry/exit conditions and parameters.
Conversation starters
- "Help me backtest a moving average crossover strategy on Bitcoin."
- "What's my Sharpe ratio and max drawdown for this strategy over the last year?"