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QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案
Kronos: A Foundation Model for the Language of Financial Markets
量化资源和教程请访问 ke.quantide.cn 和公众号🫶Quantide
Chronos: Pretrained Models for Time Series Forecasting
Automatic extraction of relevant features from time series:
Distributed Asynchronous Hyperparameter Optimization in Python
this python bot helps get sold out toys lol
A curated list of awesome things related to FastAPI
Bayesian Optimization and Grid Search for xgboost/lightgbm
Scaling Preference Data Curation via Human-AI Synergy
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
TradingAgents: Multi-Agents LLM Financial Trading Framework
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）
CTA程序化交易策略踩坑系列 - 使用VeighNa Trader回测
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Portfolio and risk analytics in Python
FastAPI Best Practices and Conventions we used at our startup
FastAPI framework, high performance, easy to learn, fast to code, ready for production
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。