A curated Chinese-language handbook of ways to earn side income with AI, covering tools, platforms, and content strategies.
When Claude keeps giving you bad answers, make 100 versions of it fight to the death. Same task, 100 different strategies, a bracket, one answer left. Free Claude Code skill.
A curated list of libraries, packages, and resources for quantitative finance across many languages and topics.
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. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
Composable, view-based context for DeepSeek Harness. Pluggable sources and strategies, with layered memory and self-evolving skills out of the box.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
A self-hosted A-share quant workbench for building strategies, monitoring, backtesting, and LLM-assisted analysis, packaged as one Docker container.
📈 Get real-time stocks from TradingView
TradingView MCP server: search indicators and strategies, fetch Pine Script source. Works with Claude Code, Claude Desktop and Cursor. No API key needed.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Python and Jupyter reproductions of quant strategies from Chinese brokerage research reports, covering A-share timing, factors, value and portfolio optimization.
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Open-source AI-oriented quantitative investment platform covering data, strategy research, backtesting, simulated and live trading.
Algorithmic Trading in Python with Machine Learning
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
An advanced crypto trading bot written in Python
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
Python toolkit for quantitative finance
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手:一站式学习、模拟、实盘平台。涵盖:股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
Python library for portfolio optimization built on top of scikit-learn
Event-driven algorithmic trading engine for .NET. Write a strategy once and run it unchanged in backtest, paper and live trading, deterministic, with fixed-point money and adapters for Binance, Bybit, OKX, Kraken, Bitget, Gate, KuCoin and Hyperliquid.
Open-source feature management platform
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.
CS2-Bot-Improver is a plugin for Counter-Strike 2 that improves bots' aim, movement, nade throwing, personalities, strategies, etc. Aims to enhance your experience when playing against bots offline or with friends. It can be installed on both clients and servers.
Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.
Futu Algorithmic Trading Solution (Python) 基於富途OpenAPI所開發量化交易程序
Alpha Harness is a dedicated workspace designed to simplify quantitative financial research. Its vision is to empower users to seamlessly discover, test, and manage new trading strategies by automating the complex, repetitive aspects of financial modeling.
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
A toolkit for building AI-automated trading strategies on Kalshi prediction markets.
Polly is a .NET resilience and transient-fault-handling library that allows developers to express policies such as Retry, Circuit Breaker, Timeout, Bulkhead Isolation, and Fallback in a fluent and thread-safe manner. From version 6.0.1, Polly targets .NET Standard 1.1 and 2.0+.
A Java library for technical analysis.
Agent Skills for Marketing — SEO, Social, Influencer & More. 160+ open-source skills for SEO, content, 40+ page types, paid ads, channels, and strategies. Add project context; get tailored, production-ready output. Cursor, Claude Code, OpenClaw — no lock-in.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
A next-generation automatic algorithm design platform, making automated algorithm design more accessible and easier to use
A curated list of awesome resources for quantitative investment and trading strategies focusing on artificial intelligence and machine learning applications in finance.
Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
Automated Binance trading bot with pluggable strategies, historical backtesting, and a live dashboard
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
A framework for developing alerting and detection strategies for incident response.
Graphics Processing Units Molecular Dynamics
Myrtia — agent-native red teaming for LLMs and AI agents: a deliberating council of attacker models (propose, cross-critique, Borda vote, chairman synthesis), 13 attack strategies, live turn-by-turn UI and ASR analytics. Open-source, built on IBM ARES.
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
Python AutoML for Trading Systems and Sports Betting
A bunch of demos for different web font loading strategies. Companion to https://www.zachleat.com/web/comprehensive-webfonts/
Open Source algo trading platform
Evolution Strategies in JAX 🦎
5800+ trading strategies unlocked.
Cybersecurity Threats & Vulnerabilities Guide is a comprehensive educational resource that provides detailed documentation, detection scripts, and prevention strategies for various cybersecurity threats.
🚀 **AI Profit Sniper** – An automated algorithmic market scanner & signal indicator engine designed to eliminate manual screen-staring and track trading strategies in real time.
Black Hat USA 2026 议题中英文技术解读|Talk analysis, detection strategies, and defensive engineering for security engineers.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
C++ DataFrame for statistical, financial, and ML analysis in modern C++
Official Go Implementation of the Quai Network
Simple Authentication for Remix
Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training