From 5f4692d81796f9c40527cda777bfd410730eef07 Mon Sep 17 00:00:00 2001 From: Wilson Freitas Date: Sat, 12 Sep 2026 20:01:21 -0300 Subject: [PATCH] Add TradingAgents to quant research environments --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 09728d9..0d37344 100644 --- a/README.md +++ b/README.md @@ -630,6 +630,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants ## Quant Research Environments +- [TradingAgents](https://github.com/TauricResearch/TradingAgents) - `Python` `LLM` - Multi-agent financial research framework combining fundamental, technical, news, and sentiment analysis with structured investment debates and risk assessment. - [Nova-TradingAgent](https://github.com/rufeng0411/Nova-TradingAgent) - `Python` `A-shares` - Self-hosted 15-agent research desk (debate graph, optional Tushare L2 and Qlib). Does not place trades. - [QFO Quant Platform](https://www.qfo-quant-platform.com/) - `Python` `React` `A-shares` - Local-first quantitative research and backtesting platform with data synchronization, multi-asset screening, factor analysis, portfolio optimization, risk analysis, and optional LLM-assisted news analysis. [GitHub](https://github.com/yeh2017/QFO-Quant-Platform) - [dsh-quant](https://github.com/pengpengyi92/dsh-quant) - `TypeScript` `DeepSeek Harness` - Agent-native quantitative research toolkit for DeepSeek Harness: 46 tools across data, alpha, ML, risk, execution and ecosystem domains, with an end-to-end research pipeline.