#backtesting

OpenAI Codex + GPT-5.5 assisted A-share quantitative finance research toolkit using Harness-style backtesting, stock selection, paper trading, and risk review

A股量化交易 Agent — 技术分析 + 基本面评估 + 策略信号 + 回测引擎

A multi-agent LLM framework for explainable algorithmic trading on NSE-listed equities — DL forecaster, LLM news sentiment, and bull/bear debate, evaluated under a full Indian transaction-cost model.

Live trading arena for LLM agents: public reasoning, real market data, virtual capital

An AI agent reads an unstructured news feed and automates a recurring judgment call, with a mechanical optimizer handling anything that must be auditable. Research project by JMH DataSciences.

Turn trading book/paper PDFs into backtestable systems via a three-stage Claude Code skill suite: PDF → human strategy → YAML spec → backtest

Autonomous LLM agent trading Polymarket with fake money. Objective: profit after realistic costs. Diagnostic: Brier score vs. the market. Every fill walks a real order book.

Open-source AI quant research OS for Indian markets (NSE/BSE). Hypothesis-first strategy discovery, walk-forward backtesting, and Google Trends search-demand intel. Not a trading bot. Next.js + FastAPI. A Money Radar product by Thugir Group.