Last updated: May 02, 2026 19:01 UTC
🧬
Evolution Lab
Autonomous strategy evolution via genetic algorithms
EVOLVING
849443
Generations β“˜
What's a Generation?
One round of evolution. Every 30 seconds, the system picks top strategies, tweaks their settings, tests the new versions, and keeps only the ones that improved.
Think of it like dog breeding β€” each generation produces slightly different offspring.
11,887,557
Backtests β“˜
What's a Backtest?
A simulation of how a strategy would have performed on real historical market data. We run each new strategy through 2 years of price data across 9 assets to see if it actually makes money.
Like a practice run β€” test it on the past before trusting it with the future.
142
Survivors β“˜
What are Survivors?
Evolved strategies that beat their parent. Most offspring are worse than their parents β€” only the ones that score higher on risk-adjusted returns get saved. The rest are deleted.
Survival of the fittest. Literally.
0.0%
Survival Rate β“˜
What's the Survival Rate?
The percentage of new strategies that actually beat their parent. A low number is good β€” it means we have high standards. Only genuinely better strategies survive.
If 0.0% survive, that means 100% of attempts were killed for being too weak.
9
Assets Optimized β“˜
Per-Asset Champions
Every asset gets its own champion strategy. We don't average β€” a strategy that's great for BTC might be terrible for TSLA. Each asset is trained independently.

BTC: Sharpe +1.87
ETH: Sharpe +2.35
SOL: Sharpe +2.52
SPY: Sharpe +1.59
QQQ: Sharpe +2.22
GC=F: Sharpe +3.05
SI=F: Sharpe +3.85
AAPL: Sharpe +1.75
TSLA: Sharpe +1.80
tap any metric for a plain-English explanation
11,887,557 strategies entered the arena. Only 142 survived β€” a 0.0% survival rate. Each asset gets its own champion β€” the best strategy for BTC is different from the best for TSLA. Through 849443 generations of mutation and breeding, the engine finds the ideal settings for each market. Last breakthrough: 951h 22m ago
πŸ† Champions & Live Calls Β· 5 active Β· tap to expand
πŸ₯ˆ SILVER
+3.85 FLAT
$76.43 Ichimoku
+99.5% 71%W
β–Ύ
Ichimoku Strategy CDI (Mutated) EVO
Price breaks above the Ichimoku cloud after being inside/below it with…
See runners-up β†’
#2 πŸ“Š Ichimoku Strategy CDI
+3.557
#3 πŸ“Š SuperTrend Strategy (ATR 10,
+3.258
#4 πŸ“Š EMA Crossover Strategy (Seyk
+2.757
#5 🧬 MACD Crossover (Mutated)
+2.612
πŸ₯‡ GOLD
+3.05 LONG
$4,644.50 Ichimoku
+42.5% 70%W
β–Ύ
Ichimoku Strategy CDI ORIG
Entry: $4,602.10 β†’ $4,644.50 +0.9%
See runners-up β†’
#2 🧬 Ichimoku Strategy CDI (Mutat
+2.669
#3 🧬 Zero-lag Volatility-Breakout
+2.549
#4 🧬 Zero-lag Volatility-Breakout
+2.549
#5 πŸ“Š Moving Average Strategy
+2.508
β—Ž SOL
+2.52 SHORT
$84.18 EMAMACD
+78.9% 1%W
β–Ύ
MACD Crossover (Mutated) EVO
Entry: $126.06 β†’ $84.18 +33.2%
See runners-up β†’
#2 🧬 MACD Crossover (Mutated)
+2.525
#3 🧬 MACD Crossover (Mutated)
+2.517
#4 🧬 MACD Crossover (Mutated)
+2.344
#5 🧬 MACD Crossover (Mutated)
+2.344
Ξ ETH
+2.35 FLAT
$2,310.25 RSIDivergence Detection
+16.8% 80%W
β–Ύ
RSI Divergence Strategy with SL/TP ORIG
RSI is below 30 (oversold) AND bullish divergence detected: price made…
See runners-up β†’
#2 🧬 RSI Divergence Strategy with
+2.350
#3 πŸ“Š Previous Day High and Low Br
+2.287
#4 πŸ“Š Donchian Channels strategy w
+1.876
#5 🧬 MACD Crossover (Mutated)
+1.753
β—† QQQ
+2.22 FLAT
$674.16 RSIDivergence Detection
+8.9% 100%W
β–Ύ
RSI Divergence Strategy with SL/TP ORIG
RSI is below 30 (oversold) AND bullish divergence detected: price made…
See runners-up β†’
#2 🧬 RSI Divergence Strategy with
+2.223
#3 πŸ“Š Mean-Reversion Swing Trading
+1.932
#4 🧬 Mean-Reversion Swing Trading
+1.932
#5 πŸ“Š Futures Calendar Spread Mean
+1.560
β‚Ώ BTC
+1.87 SHORT
$78,461.84 ATREMADonchian Channel
+38.8% 100%W
β–Ύ
Chaos Volatility Breakout (ATR + Br ORIG
Entry: $67,036.94 β†’ $78,461.84 -17.0%
See runners-up β†’
#2 🧬 MACD Strategy (Mutated)
+1.867
#3 πŸ“Š MACD Strategy
+1.867
#4 🧬 MACD Crossover (Bred)
+1.856
#5 🧬 MACD Crossover (Mutated)
+1.855
⚑ TSLA
+1.80 FLAT
$390.66 SMA
+25.6% 80%W
β–Ύ
Futures Calendar Spread Mean Revers ORIG
Price pulls back from channel high while still in an uptrend
See runners-up β†’
#2 πŸ“Š Mean Reversion Strategy by K
+1.658
#3 πŸ“Š Linear Regression Channel Br
+1.633
#4 🧬 MACD Crossover (Mutated)
+1.601
#5 🧬 MACD Crossover (Bred)
+1.601
🍎 AAPL
+1.75 LONG
$280.15 MACDRSIEMA
+20.8% 60%W
β–Ύ
MACD Strategy ORIG
Entry: $270.33 β†’ $280.15 +3.6%
See runners-up β†’
#2 πŸ“Š Price and Volume Breakout Bu
+1.615
#3 πŸ“Š MACD vs BB
+1.540
#4 πŸ“Š Donchian Channel Strategy
+1.521
#5 πŸ“Š Ichimoku Strategy CDI
+1.517
β—† SPY
+1.59 LONG
$720.67 Fair Value GapDonchian Channel
+17.9% 71%W
β–Ύ
FVG Donchian Channel strategy (Muta EVO
Entry: $686.01 β†’ $720.67 +5.0% Β·Stop: Long stop: 100-period lowest low (the Donchi
See runners-up β†’
#2 🧬 FVG Donchian Channel strateg
+1.586
#3 πŸ“Š MACD + BB + RSI [Alorse]
+1.336
#4 πŸ“Š Breakout Range Long Strategy
+1.303
#5 🧬 Breakout Range Long Strategy
+1.303
🌳 Lineage & Dynasty (click to expand)
πŸ‘‘ Most Prolific Parent
MACD Crossover
EVO_0018_1b84bffd
11 offspring β€” the dominant bloodline
Evolution Methods
68%
32%
⚑ 96 mutations 🧬 46 breeds
Top Parents by Offspring
MACD Crossover (EVO_00EVO
11
MACD Crossover (EVO_13EVO
9
MACD Crossover (EVO_13EVO
7
MACD CrossoverOG
6
MACD Crossover (EVO_00EVO
6
MACD Crossover (EVO_00EVO
6
MACD Crossover (EVO_13EVO
6
⚑ Recent Activity Feed (click to expand)
⚑
MACD Crossover (Mutated) 1.365
Gen 849443 Β· from MACD Crossover Β· 2026-05-02 19:00
⚑
MACD Crossover (Mutated) 1.365
Gen 2133 Β· from MACD Crossover Β· 2026-03-24 03:38
⚑
MACD Crossover (Mutated) 1.365
Gen 2061 Β· from MACD Crossover Β· 2026-03-24 03:35
⚑
MACD Crossover (Mutated) 1.365
Gen 2015 Β· from MACD Crossover Β· 2026-03-24 03:34
⚑
MACD Crossover (Mutated) 1.365
Gen 1994 Β· from MACD Crossover Β· 2026-03-24 03:33
⚑
MACD Crossover (Mutated) 1.365
Gen 1984 Β· from MACD Crossover Β· 2026-03-24 03:32
⚑
MACD Crossover (Mutated) 1.365
Gen 1964 Β· from MACD Crossover Β· 2026-03-24 03:32
⚑
MACD Crossover (Mutated) 1.365
Gen 1921 Β· from MACD Crossover Β· 2026-03-24 03:30
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