From abd2f58caf918d7264194669f76fe3b5b023f674 Mon Sep 17 00:00:00 2001 From: Jiaze Zhang <152767890+Zhanghanser@users.noreply.github.com> Date: Wed, 22 Jul 2026 17:32:54 +0800 Subject: [PATCH] Add quantify to Trading & Backtesting (#426) Co-authored-by: Wilson Freitas --- README.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/README.md b/README.md index a1a55f7..9df4572 100644 --- a/README.md +++ b/README.md @@ -167,14 +167,13 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [Wickra](https://github.com/wickra-lib/wickra) - `Rust` `Python` `JavaScript` `C++` `C#` `Golang` `Java` `R` - Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results. ## Trading & Backtesting +- [quantify](https://github.com/Zhanghanser/quantify) - `Python` - Binance-style trading terminal with multi-strategy backtesting and a real-time, signal-only decision desk for crypto, A-shares, and US stocks. - [purgedcv](https://github.com/eslazarev/purged-cross-validation) - `Python` - scikit-learn-compatible purged, group-purged, and combinatorial purged (CPCV) cross-validation, walk-forward splitting, and backtest-overfitting statistics (deflated and probabilistic Sharpe ratios, PBO, minimum backtest length) to prevent leakage and overfitting when backtesting trading strategies. - [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. - - [AI Quant Agents](https://github.com/demandai/ai-quant-agents) - `Python` - Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares. - [TradeSight](https://github.com/rmbell09-lang/tradesight) - `Python` - Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca. - [Orallexa](https://github.com/alex-jb/orallexa-ai-trading-agent) - `Python` - AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests.