Discussing the article: "Trade Entry Timing Accuracy Analyzer in MQL5"
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Check out the new article: Trade Entry Timing Accuracy Analyzer in MQL5.
This article builds an MQL5 dashboard that evaluates entry timing for closed positions using tick‑based Maximum Adverse Excursion (MAE) and Maximum Favorable Excursion (MFE). It computes an entry efficiency ratio, renders an MAE/MFE scatter plot and an efficiency histogram, and prints a concise summary to the Experts tab. Deal grouping, tick‑level excursion logic, and a standalone verification script are included so you can diagnose entry quality across many trades.
A strategy report tells you whether a trade won or lost. It does not tell you whether the entry itself was any good. A trade can close in profit after spending most of its life deep underwater, rescued only by a late reversal. A standard report cannot separate that from a trade that moved cleanly in its favor from the moment it opened. Both count as a win. Only one reflects good entry timing.
Maximum Adverse Excursion and Maximum Favorable Excursion make that distinction visible. MAE is how far a trade moved against the position at its worst point before it closed. MFE is how far it moved in the position's favor at its best point. This article defines entry efficiency as a ratio of MFE to (MFE + MAE). It measures how much of a trade's movement was favorable rather than adverse, regardless of whether the trade closed as a win or a loss.
This article builds a dashboard that reads closed-position history, computes MAE and MFE from tick data, and renders two views. The first is a scatter plot of MAE against MFE, one point per trade. The second is a histogram of the entry efficiency ratio across every trade analyzed. A short report also prints exact figures to the Experts tab, the same weekday-summary style used in earlier analytics dashboards in this series.
One caveat applies, as with any exploratory analytics tool. Entry efficiency describes what happened to price after a trade opened. It does not, by itself, prove a trade was entered at a statistically better or worse moment than average. A handful of trades is not a reliable sample. Treat the scatter plot and the histogram as a way to ask whether your entry timing looks distinguishable from average across many trades, not as a verdict on any single trade.
Author: Ushana Kevin Iorkumbul