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Did anyone else see big differences between modelling modes for equity-based logic?
Hi,
Yes, I think the results can be significantly different when entry or trade management rules depend on tick prices.
However, if the EA's logic is based on candle-close data and trades are opened at the beginning of the next candle, the differences should generally be smaller.
On the other hand, if the EA uses trailing stop-losses, break-even rules, or other logic that depends heavily on tick prices and the sequence of price movements, the differences can be much more significant.
I also think the lower the timeframe on which the EA runs, the greater the potential impact on the results. For example, when running an EA on H4, M1 data might provide sufficient accuracy for many strategies. However, for M5, M3, and especially M1 strategies, using only M1 OHLC data is less reliable because it doesn't capture the exact sequence of price movements within each candle.
Thanks,
Thanks Sandro and Abdullah, both very useful points.
@Sandro: agreed. My test was on M1, and that’s where it showed most. On H4 with candle-close logic the gap between modes was much smaller.
@Abdullah: the random execution delay idea is a good one. I hadn’t added it, but it makes sense: the lock fires on the tick, yet the close still happens at the next available price. I’ll rerun with 100-500 ms and report back.
One more thing I noticed: on gap opens, even “Every tick based on real ticks” can’t lock at 90%, because the first tick of the day is already past the threshold. So a buffer below the firm’s limit is needed anyway, like you said.
I’ll compare tester peak intraday loss against demo history for the same days and post the numbers here.