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docs: add Crypto DeFi Reasoning environment to community README

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@ -3095,6 +3095,38 @@ python environments/community/meteorology_forecast/meteorology_env.py serve \
---
### 31. Crypto DeFi Reasoning Environment (`crypto_defi_reasoning/`)
**Author**: [Investorquab](https://github.com/Investorquab)
**Purpose**: Train LLMs to analyze DeFi protocol health, tokenomics, liquidity metrics, and on-chain data using structured mathematical reasoning
A focused environment that challenges models to reason through real-world style DeFi scenarios and produce a categorical verdict — HEALTHY, OVERVALUED, UNDERVALUED, or RISKY — with mathematical justification.
**Scenario Types**:
- **Tokenomics Health**: FDV/MCap ratio, circulating supply pressure, volume analysis
- **Liquidity Analysis**: TVL/MCap ratio, protocol revenue, real yield, inflation rate
- **DeFi Yield**: APY sustainability vs token emission pressure on TVL
- **On-Chain Activity**: Active wallets, transaction volume vs market cap
**Reward Signal**:
| Component | Score |
|---|---|
| Correct verdict (HEALTHY/OVERVALUED/UNDERVALUED/RISKY) | 0.5 |
| Has `<reasoning>` block | 0.2 |
| Reasoning contains numerical calculations | 0.1 |
| Reasoning depth (>100 chars) | 0.1 |
| Has `<verdict>` block | 0.1 |
**Why It Matters**: Nous Research is building on Solana and the Psyche network is crypto-native. Training Hermes to reason correctly about DeFi metrics directly supports the mission of open, decentralized AI for the crypto ecosystem.
**Usage**:
```bash
python environments/community/crypto_defi_reasoning/crypto_defi_reasoning_server.py serve --openai.model_name NousResearch/Hermes-3-Llama-3.1-8B --slurm false
```
**Requirements**: Standard Atropos dependencies (no additional installs needed)
---
## Support
For questions or issues with community environments: