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Merge pull request #9 from OnePunchMonk/docs/agent-swarm-readme
Mention agent swarm branch in README
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@@ -52,6 +52,25 @@ analyze ──► hypothesize ──► backtest ──► reflect
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### Experimental Agent Swarm Branch
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The `agent-swarm-method` branch explores a multi-agent version of AgentQuant. It decomposes the research loop into specialized agents:
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- **Memory Agent** retrieves and stores strategy patterns across runs.
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- **Regime Analyst** builds the market/macro context used by downstream agents.
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- **Strategy Specialists** generate proposals for momentum, mean reversion, volatility, and trend-following approaches.
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- **Critic Agent** pre-screens proposals before expensive backtests.
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- **Backtest Coordinator** validates approved proposals across multiple time windows and ranks by robustness.
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That branch is intentionally experimental and sits alongside the main ReAct pipeline. To inspect it:
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```bash
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git checkout agent-swarm-method
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pytest tests/test_swarm.py -v
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```
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## Quick Start
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**Prerequisites:** Python 3.10+, Google Gemini API Key (optional — works without it via grid search).

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