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FlashMind v15g — Multi-Chain Retrain
Critical Fixes
- converter.to_market() — was converter.convert() which DOES NOT EXIST
- Multi-chain — ethereum, arbitrum, base, polygon, bsc, optimism
- More pools — 20 per env, 200 max from APIs
- Realistic imbalance — 0.25 (real arb is rare)
Training Results
| Metric | Value |
|---|---|
| Version | v15g |
| Total Steps | 20000 |
| Elapsed | 7.0 min |
| Real Data | Yes |
| Pools Fetched | 30 |
| Chains | ethereum, arbitrum, base, polygon, bsc, optimism |
| Best Skip Rate | N/A |
| Best Active Strategies | 0 |
| Best Sharpe | -inf |
| norm_reward | False |
Architecture
- Observation: 621-dim (598 base + 21 one-hot + 2 opp signal)
- Action: Discrete(2) — EXECUTE (0) or SKIP (1)
- Policy: PPO MlpPolicy pi=[256,128] vf=[256,128]
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