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DM ALGO

It doesn’t care what you trade.

One algorithm. One set of settings. Every market below runs the same ones — and every one of them is in profit.

Touch a curve to name it. Select it to isolate; select again to release.

Cumulative R, one shared scale25 curves drawn

Closed trades84,644on 4,071 trading daysMarkets in the record5across 5 timeframesWin-rate band4.7pts71.2%75.9%Record begins20139 Jan 201320 Aug 2026

What it is

It works on anything you point it at.

One algorithm, unchanged, across every market on that field. Nothing was fitted to gold because it was gold, or to crypto because it was crypto — the settings behind the highest curve up there are the settings behind the lowest one. More markets are coming, and they are coming to those settings rather than to settings of their own.

One trade at a time.

A position opens only when there is none open. Never two at once, never a grid, never an average-down — it is a condition in the engine rather than a rule somebody has to keep. Every figure on this page is therefore the record of a single position, opened and closed before the next one.

Several engines, one decision.

A trend engine — a moving-average cross read against a slowed opposite, so a signal needs a turn rather than a flicker. Market structure — supply and demand rails anchored on confirmed pivots, break of structure, fair value gaps, order blocks. A strength filter that stands a signal down when there is no trend behind it. And a risk ladder: the stop goes to breakeven at the first target, then trails the rest and never moves back.

Chosen by search, not by opinion.

It wasn’t built in a sitting: hundreds of hours of analysis, on AI models written for it and nothing else — 636,537 combinations of its settings, each one walked across 14,677,451 minutes of price, looking for the most profitable path rather than the most appealing opinion. What shipped had to hold up on a period held out of that search, so the settings were not picked by the years that flatter them.

every market · 1h · 2025 4,839 closed trades, January 2025December 2025, on 351 trading days.

Closed trades
4,839
carrying an R 4,839markets and timeframes 5
Net R
+1,220.9R
per trade +0.25Rmeasured over 4,839 of 4,839
Win rate
71.9%
3,478 of 4,839net +1,220.9R
Deepest fall
7.6R
whole selectionover 301 tradesbetween bucket ends 30 Jun 2023 31 Jul 2023
Win-rate band
2.7pts
whole selection72.2% 74.9%whole-record net +4,517.3R

Market by market

Pick one to narrow the whole page to it; pick it again to come back out.

Agreement, on one axis

Each dot is one market at one timeframe, placed by its win rate. Nothing was tuned per market: the same settings produced all of them.

BTCUSD +1,161.3R
UKOUSD +925.8R
NAS100 +873.1R
USOUSD +805.5R
XAUUSD +751.6R
70%72%74%76%

Every market and timeframe, row by row

Market every market · 1h
Against the rest
BTCUSD · 1h4,03872.2%+1,161.3R+0.29R2 Jan 2024
UKOUSD · 1h4,44774.9%+925.8R+0.21R14.6R4 Jan 2022
NAS100 · 1h2,64874.9%+873.1R+0.33R12.9R4 Jan 2023
USOUSD · 1h3,57174.8%+805.5R+0.23R21.6R4 Jan 2023
XAUUSD · 1h2,75373.0%+751.6R+0.27R24.9R4 Jan 2023

Every bucket of the record

buckets 56of those, down 1

A cell is a bucket, not a month — the record is cut once, at boundaries every market and every timeframe can state a result inside, and most cover two months. Each cell is as wide as what it covers and names it. The 1 that closed down is in the grid with the rest. Best: October 2025 +198.7R. Worst: July 2023 7.6R.

2022Jan+774%Feb+2376%Mar+3366%Apr+1281%May+176%Jun+2475%Jul+4575%Aug+4677%Sept+3283%Oct+980%Nov+3179%Dec+2377%+285R
2023Jan+3173%Feb+3873%Mar+6277%Apr+6179%May+14373%Jun+4971%Jul870%Aug+7376%Sept+3673%Oct+9768%Nov+13675%Dec+9474%+812R
2024Jan+9474%Feb+10676%Mar+9078%Apr+12075%May+11576%Jun+12579%Jul+19176%Aug+17876%Sept+4371%Oct+8174%Nov+13175%Dec+7174%+1,346R
2025Jan+13870%Feb+13276%Mar+8274%Apr+16074%May+11469%Jun+2972%Jul+8771%Aug+9573%Sept+12473%Oct+19972%Nov+4770%Dec+1570%+1,221R
2026Jan+13072%Feb+8077%Mar+8874%Apr+19076%May+7274%Jun+14574%Jul+8775%Aug+6378%+854R
Net R in the bucket scale ±144R (90th percentile) nothing closedsmall figure = win rateone cell = one bucket, as wide as the months it covers

Day by day

August 2026 Each cell is one local day in the report timezone, coloured by the metric above. A day holding fewer than 5 closed trades prints its count and no result — thin is thin.

1422W311.0R632.84+11.251.26+25.07+0.48492W32+30.6R96109.011+23.8122.313+2.014+3.3151.0164W33+16.9R94176.018+1.619+20.620212223W34+16.2R582425262728293031

this month: +62.6R · 254 closed · win 78.3%

Which day of the week it closed on

Closed trades by the local weekday they closed on, in the report timezone — the whole selection, whatever the period chip says. A weekday holding fewer than 5 closed trades prints its count and no result. This panel covers the whole selection, not the chosen period.

Mondaydays 236+993.8R·74.5%·3,327 · share 19.1%
Tuesdaydays 241+913.6R·73.8%·3,322 · share 19.0%
Wednesdaydays 239+767.5R·75.6%·3,282 · share 18.8%
Thursdaydays 241+1,184.3R·73.6%·3,170 · share 18.2%
Fridaydays 240+676.2R·73.2%·3,298 · share 18.9%
Saturdaydays 119+9.2R·70.3%·482 · share 2.8%
Sundaydays 13127.3R·71.4%·576 · share 3.3%

By entry hour

Bucketed by the hour the trade was entered, in Europe/Copenhagen — the one panel here about entries rather than results. The session bands are drawn in the same zone. This panel covers the whole selection, not the chosen period.

Strip: how many trades were entered in each hour — density, not result.

By direction

This panel covers the whole selection, not the chosen period.

DirectionTradesWin rateNet RAgainst the rest
LONG8,77474.9%+2,583.4R
SHORT8,68373.0%+1,933.9R

Historical results. Past performance does not guarantee future results.

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