active

Strategy Arena
Is Alive

Not a website. Not a dashboard. A cognitive ecosystem with 4 intelligence layers, 11 Karpathy autoresearch loops, automatic immune protection, and self-modifying prompts. Every night, it rewrites itself.

Proof of Life — Live Numbers

5,000
Death Contexts
Every loss absorbed
5,000
Win Contexts
Every victory tracked
1,221
Patterns Detected
Chimera 59MB brain
10,730+
Experiments
Living Wiki accumulated
370
Live Strategies
60 x 7 markets
11
Karpathy Loops
Nightly evolution
126
Knowledge Nodes
+136 edges
8
Leviathan Layers
Fusion brain

The 4 Cognitive Layers

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Invictus — The Immune System

Absorbs every losing trade across all strategies. Builds death-context fingerprints. Auto-vetoes new buys matching toxic patterns (active on all 60 strategies since April 16). Phase 3 generates evolutionary laws.

5,000death contexts
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Meta Intelligence v3 — The Omniscient Observer

Tracks rivalries, achievements, best versions. Auto-clusters strategies (Trend Followers vs Contrarians). UltimateGauge in 6 phases. Hall of Fame + Dream Team detection. Does NOT observe itself (anti-recursion guard).

11classes / 67 funcs
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Leviathan — The 8-Layer Fusion Brain

Fuses signals from Chimera (patterns) + Hydra (XGBoost ML) + Regime + Collaborative (298+ deliberations) + Carton Rouge (AI reliability) + News Sentinel + Meta + Contrarian. Each AI weighted by accuracy.

8layers fused
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Karpathy Loops — The Nightly Evolution

11 autoresearch crons run between 1:30 AM and 6:30 AM. Each evolves a different aspect: pattern thresholds, ML weights, kill conditions, prompts, allocation. Each AI mutates its own system prompt. The filter that decides what the brain eats evolves itself. Meta-Harness optimizes the optimizer.

11nightly loops

The 11 Karpathy Loops

Chimera
Pattern detection thresholds (1221 patterns)
autoresearch_chimera.py
Collab Prompts
Each AI mutates its own system prompt
autoresearch_collaborative_prompts.py
Hydra
ML model weights per regime
autoresearch_hydra.py
Invictus
Kill thresholds for death detection
autoresearch_invictus.py
Leviathan
8-layer weight calibration
autoresearch_leviathan.py
Nutrition
The filter that decides what the brain eats evolves itself
autoresearch_nutrition.py
Portfolio
Markowitz auto allocation
autoresearch_portfolio.py
PromptForge
Prompt variants tested via Claude
autoresearch_promptforge.py
Arena Strategies
1000 experiments/night on ArenaScript
arena_autoresearch.py
Darwin Engine v2
Crossover + elitism + multi-criteria fitness
darwin_engine_v2.py
Meta-Harness
Optimizes the optimizer (Darwin hyperparams)
meta-harness

The Loop That Closes The System

1. ACT
60 strategies trade 24/7
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2. LEARN
Invictus absorbs every loss + Cross-Pollination shares it
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3. EVOLVE
11 Karpathy loops mutate every night
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4. DISCOVER
Darwin finds new strategies, Hall of Fame curates
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5. TEST
Discovery Arena 7-day live test
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6. PROTECT
Invictus auto-vetoes toxic buys before they happen

Every step feeds the next. The loop never breaks. Closed since April 16, 2026.

A trading site shows you charts. A living system shows you proof of its own evolution. Strategy Arena is the second.

Self-Healing — 11 Bugs Fixed Today

A living system can be audited and healed. On April 16, 2026, a deep audit found 11 bugs. All fixed in one session. Proof:

BUG #1 — CRITICAL
Carton Rouge get_all_weights() didn't exist. Layer 5 Leviathan was DEAD silently. Now identifies reliable AIs (Meta GOLD 78%, Claude GOLD 77%).
BUG #8 — CRITICAL
Invictus veto was opt-in for external bots only. Now auto-active on all 60 strategies. Hook in strategies/base.py:buy() blocks toxic-context buys.
BUG #6+#7
Ultimate Strategy + Hall of Fame Darwin generated but never deployed. Now consumed by Discovery Arena 7-day test lifecycle.
BUG #11 — PARADOX
Meta auto-observation only prevented by accidental Nutrition rejection. Now explicit blocklist in learning loop — intentional anti-recursion.

See full changelog \u2192

\U0001F52C Discovery Arena \U0001F9E0 Nerve Center \u2694\uFE0F AI Arena Live
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