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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.

BTCUSD · 2020 501 closed trades, January 2020December 2020, on 294 trading days.

Closed trades
501
carrying an R 501markets and timeframes 5
Net R
+81.6R
per trade +0.16Rmeasured over 501 of 501
Win rate
74.1%
371 of 501net +81.6R
Deepest fall
10.0R
whole selectionover 113 tradesbetween bucket ends 30 Jun 2023 31 Jul 2023
Win-rate band
3.7pts
whole selection71.2% 74.9%whole-record net +4,811.8R

BTCUSD in its own unit. Results on this market are quoted as a percent return on the margin of a single trade at 20x. That figure belongs to the trade it came from: two of them added is not a return on anything. Every total here stays in R — +81.6R in this view.

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 +4,811.8R
68%70%72%74%76%78%

Every market and timeframe, row by row

Market BTCUSD
Against the rest
BTCUSD · 1h4,03872.2%+1,161.3R+0.29R2 Jan 2024
BTCUSD · 4h4,61574.9%+1,075.3R+0.23R8.4R8 Jan 2017
BTCUSD · 30m4,27271.8%+1,048.4R+0.25R21.9R1 Jan 2025
BTCUSD · 2h4,13273.4%+870.5R+0.21R8.4R3 Jan 2022
BTCUSD · 15m2,86271.2%+656.3R+0.23R1 Jan 2026

Every bucket of the record

buckets 115of those, down 11

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 11 that closed down are in the grid with the rest. Best: October 2025 +269.2R. Worst: July 2023 10.0R.

2017Jan467%Feb+568%Mar+2556%Apr+474%May+1666%Jun+1668%Jul+1980%Aug+1078%Sept+1071%Oct+472%Nov+1068%Dec+166%+118R
2018Jan+1081%Feb+976%Mar–Apr+1679%May+1383%Jun+674%Jul+777%Aug+670%Sept+679%Oct+272%Nov+6579%Dec078%+140R
2019Jan+1479%Feb+1975%Mar276%Apr668%May+2375%Jun069%Jul+988%Aug+1280%Sept+1764%Oct+2178%Nov+1885%Dec+1687%+141R
2020Jan278%Feb+1578%Mar+1673%Apr+1480%May+768%Jun+867%Jul+678%Aug+664%Sept+684%Oct+277%Nov+768%Dec374%+82R
2021Jan467%Feb+985%Mar+1684%Apr+974%May+1686%Jun+1079%Jul+862%Aug+1480%Sept+1277%Oct774%Nov+1784%Dec+1774%+119R
2022Jan+1070%Feb+4172%Mar+1977%Apr+3874%May+1776%Jun+1673%Jul+2475%Aug+2272%Sept+3275%Oct+1473%Nov+3180%Dec176%+263R
2023Jan+6480%Feb+2879%Mar+1069%Apr+3673%May+1276%Jun+3269%Jul1070%Aug+1677%Sept371%Oct+5177%Nov+473%Dec+5774%+299R
2024Jan+5271%Feb+13272%Mar+5677%Apr+8076%May+7475%Jun+7576%Jul+9275%Aug+9374%Sept+1570%Oct+9674%Nov+5774%Dec+4474%+866R
2025Jan+13168%Feb+11476%Mar+22072%Apr+9371%May+10772%Jun+5271%Jul+4173%Aug+7772%Sept+12168%Oct+26972%Nov+5870%Dec+11472%+1,398R
2026Jan+22069%Feb+23172%Mar+12272%Apr+18572%May+21377%Jun+21971%Jul+9374%Aug+10574%+1,388R
Net R in the bucket scale ±114R (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.

16.02+6.7W31+0.7R5239.4412.0511.06+8.874.0814.096.0W3247.5R2111016.0110.012+32.5133.614+1.1156.0162.8W33+5.2R156171.0182.019+149.720212223W34+146.7R492425262728293031

this month: +105.0R · 468 closed · win 74.4%

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 453+1,390.7R·74.3%·3,004 · share 15.1%
Tuesdaydays 435+1,310.6R·75.4%·2,896 · share 14.5%
Wednesdaydays 444+910.8R·72.8%·3,087 · share 15.5%
Thursdaydays 455+656.8R·73.4%·2,888 · share 14.5%
Fridaydays 450+570.8R·71.9%·2,926 · share 14.7%
Saturdaydays 45033.4R·70.2%·2,401 · share 12.1%
Sundaydays 453+5.5R·71.3%·2,717 · share 13.6%

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
LONG9,95573.1%+2,488.9R
SHORT9,96472.6%+2,322.9R

By timeframe

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

TimeframeTradesWin rateNet RAgainst the rest
15m2,86271.2%+656.3R
30m4,27271.8%+1,048.4R
1h4,03872.2%+1,161.3R
2h4,13273.4%+870.5R
4h4,61574.9%+1,075.3R

Historical results. Past performance does not guarantee future results.

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