Monthly performance
Return for each month, with the compounded total as a line.
Live results from one MetaTrader 5 account
Every bot I build trades here, in one account, each under its own flag and magic number, and each added only after it finishes validation. Nothing here is for sale: it is a public record of how the fleet trades, losses included. The goal is a fleet of 50 to 100 bots.
Each bot sails under its own flag.
Return
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Net profit
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Profit factor
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Deepest drawdown
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Recovery factor
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Sharpe ratio
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Trades closed during the current UTC day, and what was still open when the record was last published.
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Closed trades grouped by the hour, the day, the week and the month: what each one added, its ROI and how many of its trades won. It is the quickest way to follow a bot that has only just joined the fleet. Days, weeks and months follow the UTC clock, like the calendar.
Each bot trades under its own magic number, and bots with several magic numbers are grouped under their flag. Returns are measured against the whole account, so a bot's figures show what it has contributed. Select a row to see its full record below, or sort by any column.
| No closed trades yet. The comparison fills in as the bots trade. |
Published directly from the trading account each time the record is updated. Growth is time-weighted, so deposits and withdrawals never move the curve. Open positions and entry prices are never shown here.
Gold dots are trades I closed by hand. Each one stays with the bot that opened it and counts in every figure.
Return for each month, with the compounded total as a line.
How closed trades spread between losses and wins, % of balance.
Waiting for first publication
Recalculated on each publication for the account and for every bot. Hover a label for what it means.
Time-weighted return for each calendar month, with the year's compounded total at the end of the row.
| No closed months yet. |
Every day on record: what it added or took away, its ROI, how many trades closed and how many of them won. Days follow the UTC clock, like the rest of the record. Move from month to month with the arrows or the list, and select a day to see its trades.
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Each week and each month taken as a whole: what it added, its ROI, and what an average trading day in it returned. Weeks start on Monday and days follow the UTC clock, like the calendar above.
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One row per period with trading. Return is time-weighted and compounds day by day; ROI adds up the daily ROI. The two columns per day divide them by the trading days in the period. Select a row to study it above.
Each closed position counted once, measured as a share of the account balance on the day it closed. Times are UTC.
Number of trades by result, % of balance.
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Summed trade results by closing day.
Summed trade results by the hour the position opened.
Every closed trade taken apart: which instruments carry the result, which hours and sessions work, how long positions stay open, how much is open at once and how the orders behave. Pick an instrument or a direction and every figure in this section follows it.
What each instrument has added to the record, with the direction filter applied. Select a row to study that instrument alone; sort by any column.
Result of every bot on every instrument it has traded. Green adds to the account, red takes away; hover a cell for the count. Select a bot to open its own record.
Each cell is one hour of one weekday, by the time the position opened. It shows where the activity sits and where the result comes from.
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By the hour the position opened, always in UTC: Asia 00–07, London 07–12, both London and New York 12–16, New York 16–21, late evening 21–24.
Trades closed each week (bar height), coloured by the week's result. Last 52 weeks.
Trades grouped by holding time, and each trade's result against how long it was held.
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How many positions were open at the same time, worked out from the open and close time of every closed trade. Positions still open are never shown.
Every order sent to the broker: market orders, pending orders and how many of them filled, were cancelled or expired. Order prices, stop and target levels are never published.
Does a loss make the next trade worse? Each row looks at the trades that came right after a given situation.
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Closed trades only, with no prices. Times follow the clock chosen above.
Two ways of asking whether the result is steady or lucky: how the key ratios move over time, and what thousands of reshuffled versions of the same trades look like.
The Monte Carlo view resamples this record's own trade results, with replacement, 2,000 times over the same number of trades. It shows the range of outcomes the same edge could plausibly have produced in a different order. It cannot show what happens if the edge itself changes, which is the larger risk.
Correlation of daily results between magic numbers. Close to +1, two bots win and lose on the same days and add risk together. Close to 0 or negative, they tend to offset each other, which is what keeps the account's drawdown smaller than the sum of its parts.
Bots join one at a time, and only once they have passed out-of-sample testing. Until then they stay in the yard.
| Flag | Bot | Instruments | Approach | Trades | Hits | Profit factor | Contribution | Status |
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A public record of one trading account. Not a signal, not a service you can subscribe to, and not advice about what you personally should do with your money.
Every figure on this page comes out of that account automatically. There are no backtests on this page. Where a number is missing, it is missing because the account has not produced it yet.
The account is currently a demo account. Demo fills are usually kinder than real ones — no requotes, no partial fills, no slippage on news. Read these figures as a record of how the strategies trade, not as proof of real-money execution. When the account moves to real money this page will say so, and the record will restart.
Losing months happen, and a losing month is not a malfunction. The same bot on another account will not produce the same numbers: a different broker, spread, execution speed or account size all move the outcome.
Ratios such as Sharpe and Calmar are unstable over short periods. A few good weeks can make them look far better than they will be over a year, so give more weight to drawdown and to the number of months on record.
The study section splits the record by instrument, direction, hour and session. Each slice holds far fewer trades than the whole, so a strong hour or instrument on a handful of trades is more likely chance than a pattern.
Leveraged trading can cost you more than you put in. Never trade with money you cannot afford to lose.