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Add Inalpha to Trading & Backtesting (#413)

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Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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@@ -162,6 +162,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
## Trading & Backtesting
- [AlgoVault](https://github.com/AlgoVaultLabs/crypto-quant-signal-mcp) - `TypeScript` - MCP server returning composite crypto trade verdicts (direction, confidence, regime) across 5 perpetual-futures venues, with cross-venue funding-rate arbitrage and an on-chain Merkle-verified track record. Free tier.
- [capitalcom-cli](https://github.com/SimonTarara62/capitalcom-cli) - `Python` - Unofficial CLI and async SDK for the Capital.com broker API: market data, guarded order execution, and real-time streaming.
- [Inalpha](https://github.com/mirror29/inalpha) - `Python` `TypeScript` - Conversational multi-agent quant framework where agents rank currently-effective factors for entry timing (time-series rank IC), write complete strategy code that passes sandboxed audit before backtesting, and evolve strategies under multi-objective fitness; every order requires machine approval and the LLM never has a direct order path.
- [income-desk](https://github.com/nitinblue/income-desk) - `Python` - Systematic options trading intelligence for small accounts with desk-based portfolio management, pre-trade validation, and multi-broker consolidation.
- [mx-trader-bridge](https://github.com/27dream/mx-trader-bridge) - `Python` - AI auto-trading bridge for East Money's miaoxiang (妙想) China A-share simulation platform; BYOK multi-LLM (OpenAI/DeepSeek/Moonshot/GLM/Qwen) decision brain → automated order placement via miaoxiang API, with daily cron review and weekly AI reflection.