Weight Heatmap NEW
Where each symbol's edge diverges from the global brain. The map of your specialization. · --
🎯 Attribution 🔗 Combos 📐 Kelly
🧠 How to read this
Each cell shows the brain's learned weight for that (symbol, setup) pair. Weight = 1.0 means "no edge — neutral". Weight > 1.0 means the brain has seen positive R for this combination. < 1.0 means negative.
Empty cells = not enough samples yet (need ≥5 closed trades for that pair).
The small number in each cell is the sample size n. Bigger n = more trustworthy.
0.5 (bad)0.851.0 (neutral)1.151.6 (great)
Symbols tracked
0
Specialized weights
0
Avg divergence vs global
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Strongest specialization
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📊 Per-symbol × per-setup weights
🔬 Biggest divergences (where symbol specialization deviates most from global)
A negative divergence means the symbol is WORSE than average on this setup. Positive = better than average. Trade accordingly.
Pair
N
Symbol w
Global w
Divergence