Strategy DNA Genome

Unified Catalog โ€” Every Strategy Across All Systems, Measured by Real Edge
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Active DNA Sequences

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Genetically evolved strategies

Evolution Generation

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Current algorithm generation

Phoenix Revivals

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Strategies that recovered from DEAD

Genetic Diversity

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Unique chromosome patterns

What is the DNA Genome?

The DNA Genome Engine uses genetic algorithms to evolve trading strategies. Each strategy is encoded as a 64-gene "DNA chromosome" that determines entry timing, exit rules, position sizing, and risk management.

Evolution Process: Strategies compete in the battleground arena. Winners are selected for "breeding" โ€” their DNA is combined through crossover and mutation to create offspring strategies.

Phoenix Detection: Strategies that fall to DEAD status (no edge detected) can sometimes recover through parameter mutation. These "Phoenix" strategies are flagged as they often have unique adaptive capabilities.

DNA Sequence = EntryGene(12) + ExitGene(12) + SizingGene(16) + RiskGene(16) + FilterGene(8)

EDGE โ€” Proven positive expectancy
ASYMMETRIC โ€” Low WR, high payoff ratio
MARGINAL โ€” Thin edge, needs more data
TRAP โ€” High WR masks negative expectancy
DEAD โ€” No statistical edge found
PHOENIX โ€” Recovered from DEAD
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