</> Codebase - Manipulation methods

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.

Execution imperfections, such as price slippage or temporarily wider spreads, are common occurrences in live trading. These factors can cause the actual closing price of a trade to be less favorable than the ideal price observed or targeted during the backtest. This Monte Carlo simulation models the impact of such random execution issues.

A SWAP is the interest fee or credit that is applied to a trader's account when they hold a position overnight in forex or CFD trading. This fee is determined by the interest rate differential between the two currencies in a forex pair or the cost of maintaining a position in CFDs. It can be either positive (a credit) or negative (a debit) depending on the direction of the trade and the interest rate differential.

A SWAP is the interest fee or credit that is applied to a trader's account when they hold a position overnight in forex or CFD trading. This fee is determined by the interest rate differential between the two currencies in a forex pair or the cost of maintaining a position in CFDs. It can be either positive (a credit) or negative (a debit) depending on the direction of the trade and the interest rate differential.