Detects the gold symbol whatever the broker calls it, reads the contract specification from the terminal instead of assuming it, and turns a risk in account currency into a lot size that is correct for that broker.

Opens a virtual bracketed trade on every M1 bar, walks it forward on the real tick history, and reports for a sweep of stop distances how often 1-minute OHLC modelling would score the trade the wrong way round.

Gold has a daily maintenance break on the CME. The first hour after it rises more than chance explains, in every calendar year of an 11-year sample - while every other hour of the day measures flat. One trade per session, a volatility-scaled server-side stop, no averaging or grid. Then my cost model turned out to be wrong. A real-tick backtest showed the true round-trip cost at the reopen is about 60 points, not the 19 my research had charged - the M1 bar spread field is a per-bar summary and understates it roughly threefold. Re-running 11 years at the corrected cost: +3.34 bps, t 7.40, 59.3% wins -> +1.60 bps, t 3.42, 50.8% wins The edge survives, at less than half its original strength. That second number is the real one. What it is not: about +3.3% a year with 4.6% drawdown, roughly one year in nine negative. At 0.01 lots that is ~130 a year - a figure that measures the position size, not the strategy.

Exports one CSV line per closed trade with the numbers a statement does not carry: the best unrealised profit the trade showed (MFE), the worst unrealised loss it survived (MAE), how much of the MFE was actually kept, how many bars it spanned, and how long it was held. Same measurement as the Trade Excursion indicator, written to a file instead of drawn, because the questions worth asking of this data are ones a chart cannot answer: does the capture ratio depend on the hour of entry? Are the trades I close early the ones I hold longest? Do losers on Mondays reach a different MAE than on Fridays? Those are one pivot table away once the CSV exists. Output is semicolon separated with a header row, in MQL5\Files; opens in any spreadsheet. Measurement limit: excursions come from bar highs and lows on the chosen timeframe; the path inside a bar is unknown. The bars column reports the resolution each trade got, and the summary counts single-bar trades separately instead of averaging them in.

Your statement tells you what you KEPT. It does not tell you what you HAD. This indicator reads your own closed trades from the account history and draws, for each one, the full range it travelled: the best unrealised profit it ever showed (MFE) and the worst unrealised loss it survived (MAE). The gap between what a trade showed and what it paid is where two common problems hide, and neither is visible in a balance curve: winners closing far below their best point (the exit leaves money behind), and losers whose worst excursion barely passed the stop (the stop sits inside the noise). The number to look at is the CAPTURE RATIO: of the profit a winner showed at its best, how much did you take home? 90% says the exits are well placed; 30% says the market kept offering and the exit kept refusing. Limit, stated up front: excursions come from the bars each trade spanned, on the chart timeframe; the path inside a bar is unknown. Predicts nothing; measures trades that already happened.