Strategy Bots

How it behaves

Buys when price breaks above its highest level of the last 20 days and steps aside when it breaks below the low. It aims to catch a large move early and stay with it, which means many small losing attempts in exchange for a few long winners.

Character

Aggressive breakout / trend strategy. The method is Donchian 20 — named and plain, because the strategy is the method, not a black box.

Historical profile

Historical return

+2,033.03%

Maximum drawdown

−53.89%

Completed trades

305

Evaluation

1 Sep 2020 – 20 Jul 2025

Profit factor

2.05

A $10,000 historical simulation over this evaluation would have ended at $213,302.62.

How it behaves

Compares a fast and a slow average of price and acts when the gap between them turns. More of its individual trades lost than won in this evaluation; the result came from the winners being larger than the losers rather than from being right more often.

Character

Classic momentum / trend strategy. The method is MACD 12/26/9 — named and plain, because the strategy is the method, not a black box.

Historical profile

Historical return

+937.56%

Maximum drawdown

−47.53%

Completed trades

743

Evaluation

1 Sep 2020 – 20 Jul 2025

Wins / losses

301 / 442

Profit factor

≈ 1.44

A $10,000 historical simulation over this evaluation would have ended at $103,756.22.

How it behaves

Uses a channel built from average true range around a 20-day average and commits when price pushes clear of it. It took the deepest historical decline in this catalogue — nearly seventy per cent from peak to trough — in exchange for its result.

Character

High-risk volatility breakout / trend strategy. The method is Keltner 20/2 — named and plain, because the strategy is the method, not a black box.

Historical profile

Historical return

+759.91%

Maximum drawdown

−69.73%

Completed trades

113

Evaluation

1 Sep 2020 – 20 Jul 2025

A $10,000 historical simulation over this evaluation would have ended at approximately $85,991.

How it behaves

Reads Wilder's 14-day relative strength index and acts at the classic 30 and 70 levels. It was the most selective strategy in the catalogue — 83 completed trades — and the one whose individual trades were most often profitable.

Character

Classic RSI oversold / overbought strategy. The method is Wilder RSI14 30/70 — named and plain, because the strategy is the method, not a black box.

Historical profile

Historical return

+156.13%

Maximum drawdown

−45.29%

Completed trades

83

Evaluation

1 Sep 2020 – 20 Jul 2025

Wins / losses

59 / 24

Win rate

71.08%

Profit factor

≈ 2.76

A $10,000 historical simulation over this evaluation would have ended at $25,613.14.

How it behaves

Uses Wilder's directional movement index to judge whether a trend is strong enough to act on at all, and stands aside when it is not. It produced the smallest historical return and the shallowest historical decline in this catalogue — shallower than the others here, which is not the same as low risk.

Character

Comparatively defensive trend-strength strategy. The method is Wilder DMI/ADX14 — named and plain, because the strategy is the method, not a black box.

Historical profile

Historical return

+16.93%

Maximum drawdown

−24.01%

Completed trades

173

Evaluation

1 Sep 2020 – 20 Jul 2025

A $10,000 historical simulation over this evaluation would have ended at approximately $11,693.

How it behaves

APOLLO's original strategy, a Bollinger-band continuation rule, did not meet the acceptance criteria set before it was tested. A successor strategy is now in research and in internal validation, in operator paper mode only: YUKUZ publishes no performance figures for it, it is not available to run, and no date is promised.

Character

A successor strategy is in research. Its method is not published while it is in research, and no figure is published for it.

Research status

A successor strategy is in research and in internal validation, in operator paper mode only. YUKUZ publishes no performance figures for it, it is not available to run, and no date is promised.

How it behaves

ARES's original strategy, a 20-day moving-average momentum rule, did not meet the acceptance criteria set before it was tested, and neither did the two successor strategies researched after it. YUKUZ publishes no performance figures for any of them. ARES is not available to run, no strategy is in research for it, and no date is promised.

Character

No strategy is in research for it. Its research evaluations did not meet the acceptance criteria set before they were tested, and no method or figure is published for it.

Research status

Research evaluation complete. This strategy did not meet the acceptance criteria set before it was tested, so YUKUZ publishes no performance figures for it and it is not available to run.

How it behaves

Measures where the latest close sits inside the last 14 days' range and acts when price reaches the extremes of that range. A steadier, more frequent cousin of the RSI approach. Its research evaluation has run and did not meet the acceptance criteria, so YUKUZ publishes no performance evaluation for it; it is offered by the owner's explicit decision, not on a research result.

Character

Momentum / overbought-oversold oscillator strategy. The method is Williams %R14 — named and plain, because the strategy is the method, not a black box.

Research status

Research evaluation complete. This strategy did not meet the acceptance criteria set before it was tested, so YUKUZ publishes no performance figures for it. It is offered by the owner's explicit decision, not on a research result.

How it behaves

Rather than trading one market's signal, it ranks the whole universe by recent relative strength and holds the leaders, rotating as the ranking changes. Its research validation is still in progress, so YUKUZ publishes no performance evaluation for it and it cannot be run.

Character

Rotation strategy across the market universe. The method is Cross-Sectional Relative-Strength Rotation — named and plain, because the strategy is the method, not a black box.

Research status

Research validation in progress: internal validation only, and its protected evaluation can only be completed after 20 July 2027. YUKUZ publishes no forward or holdout performance for it, and it is not available to run.