charliedream1/ai_quant_trade resource
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、大模型、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易 observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1546
- days_rel: 564
- days_push: 17
- n_releases_24m: 1
Adoption not part of the score
6375 stars · 1200 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A one-stop AI quantitative trading platform covering learning, simulation, and live trading of stocks, funds, and crypto. It bundles example code for LLMs, factor mining, traditional strategies, machine learning, deep learning, reinforcement learning, graph networks, and high-frequency trading, plus market-watching tools and C++ deployment examples.
Use cases
- learn quantitative trading with python
- build a stock trading bot with machine learning
- train an LLM for stock price prediction
- mine alpha factors automatically
- backtest reinforcement learning trading strategies
- monitor stock prices with alerting tools
- deploy a trading strategy in C++ for live trading
When to choose
- you want a broad collection of quant trading examples spanning ML, RL, and LLMs
- you are learning quant finance and want runnable code from simulation to live trading
- you need factor mining, backtesting, and market-watching tools in one repo
When to avoid
- you need a production-grade, battle-tested trading engine with guaranteed execution
- you only want a lightweight backtesting library without educational material
- you require guaranteed profitability or regulated brokerage integration
Facets
learning-resource · maturity active
machine-learning deep-learning reinforcement-learning llm-training trading data-science nlp developer-tools fintech machine-learning large-language-models reinforcement-learning tutorials data-science python cpp cross-platform quantitative-trading stock-trading factor-mining backtesting trading-bot algorithmic-trading stock-prediction joinquant mlflow high-frequency-trading gpu
1 source
- readme: https://github.com/charliedream1/ai_quant_trade · fetched 2026-08-28 · ef27ba4fed05
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| charliedream1/ai_quant_trade | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="charliedream1/ai_quant_trade")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem