Introduction
- 1. Enhanced Backtesting: Use simulated time series to backtest your trading strategies effectively, helping to prevent overfitting and ensuring robust performance. 📈
- 2. Risk Management: Analyze potential market scenarios with varying correlations to better understand risk exposure and optimize your trading strategies. 🔍
- 3. Algorithm Training: Train your algorithms with diverse datasets, giving them the edge to adapt to different market conditions and improving overall accuracy. 🤖
- 4. Scenario Analysis: Create “what-if” scenarios to test how your strategies would perform under different market conditions, empowering you to make informed decisions. 💡
- 1. Developing New Strategies: Simulate price movements to explore and refine new trading strategies without risking capital.
- 2. Stress Testing: Evaluate the resilience of your algorithms against historically correlated price movements.
- 3. Portfolio Diversification: Generate correlated assets to test portfolio performance under various market conditions.