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在 dsh 里装上这个插件即可,无需登录、注册或填 API Key,就能使用包括 DeepSeek V4.1 Flash、Kimi K3 在内的前沿模型——完全免费,不限量。 All you do is install this plugin in dsh: no login, no sign-up, no API key — the frontier models are just the…
Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Laun…
LLM 驱动的多市场股票智能分析系统:多源行情、实时新闻、决策看板与自动推送,支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost…
atmquant由公众号“堂主的ATMQuant"开发,是基于vnpy框架的AI量化交易平台,专注于AI量化投资、指标信号可视化与策略研发和回测,有完整教学和实战案例,适合量化交易初学者、金融从业者、程序员、投资爱好者
A comprehensive quantitative trading system with AI-powered analysis, real-time data processing, and advanced risk management
This is a multi agent tutorial based on the CAMEL framework, aimed at understanding how to build an Agent Society from the ground up!
《动手学大模型Dive into LLMs》系列编程实践教程
🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Integrate the DeepSeek API into popular software
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)
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
免费开源A股量化交易数据库; 专注A股,专注量化,向阳而生; 开放、纯净、持续、为Ai(爱)发电。为个人量化交易而生,保卫3000点,珍惜底部机会......【股票数据,股票行情数据,股票量化数据,股票交易数据,k线行情数据,股票概念数据,股票数据接口,行情数据接口,量化交易数据】【多数据源融合,动态设置代理,保障数据高可用性】
Python Backtesting library for trading strategies
[🔥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
Code to go with the paper "A novel deep learning model for the detection and identification of rolling element bearing faults"
PyQt image viewer widget with mouse zooming and panning.