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StrategyQuant X platform codebase – a place to share coded customizations and extensions – among all users.
Monte Carlo > Manipulation methods
Monte Carlo – Simulate Parameter Jitter
In the real world of trading, market conditions are constantly evolving. Volatility shifts, liquidity fluctuates, and the data feed itself might have minute variations from tick to tick. Consequently, even a well-optimized strategy might not perform exactly as predicted by a backtest, as its core parameters or indicator calculations could experience slight "jitter" or instability when faced with live conditions. This Monte Carlo simulation is designed to test how resilient your strategy is to such minor, unpredictable deviations from its perfect backtest behavior.
Monte Carlo
jitter
missed trqades