tradingstrategy-ai/docs
Trading strategy documentaiton
GitHub repository with 22 stars and 12 forks.
Language: Jupyter Notebook
Topics: algorithmic-trading, pancakeswap, pandas, python, uniswap
Trading strategy documentaiton
GitHub repository with 22 stars and 12 forks.
Language: Jupyter Notebook
Topics: algorithmic-trading, pancakeswap, pandas, python, uniswap
2026-06-05: 22 stars and 12 forks.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
GitHub repository with 722 stars and 110 forks.
Trending score: 0.48; stars gained: +2; forks gained: -1.
Language: Jupyter Notebook
Topics: jupyter-notebook, quantitative-finance, backtest, systematic-trading-strategies, trading, investment-strategies
Python-based quant trading research project for short-term reversal option setups, universe selection, staged-entry backtesting, and live paper trading.
GitHub repository with 242 stars and 26 forks.
Trending score: 0.25; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: algorithmic-trading, backtesting, blackscholes, crypto-trading-agent, options-trading, python
A Python framework for managing positions and trades in DeFi
GitHub repository with 148 stars and 36 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Jupyter Notebook
Topics: algorithmic-trading, binance-smart-chain, blockchain, cryptocurrency, defi, ethereum
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 9,194 stars and 588 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,980 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,614 stars and 1,015 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,682 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Examples and guides for using the OpenAI API
GitHub repository with 73,986 stars and 12,524 forks.
Trending score: 1.57; stars gained: +24; forks gained: +12.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
"Vibe-Trading: Your Personal Trading Agent"
GitHub repository with 10,715 stars and 2,097 forks.
Trending score: 3.06; stars gained: +1,066; forks gained: +130.
Language: Python
Topics: ai-agent, algorithmic-trading, backtesting, fintech, llm, mcp
FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
GitHub repository with 25,346 stars and 3,538 forks.
Trending score: 2.37; stars gained: +237; forks gained: +42.
Language: C++
Topics: bloomberg-terminal, finance, financial-markets, investment, investment-research, machine-learning
Free, open source crypto trading bot
GitHub repository with 51,153 stars and 10,656 forks.
Trending score: 1.83; stars gained: +65; forks gained: +7.
Language: Python
Topics: python, cryptocurrencies, trading-bot, telegram-bot, bitcoin, trade
Alpha Forge — an agentic AI operating system for systematic trading.
GitHub repository with 107 stars and 14 forks.
Trending score: 1.34; stars gained: +23; forks gained: +2.
Language: Python
Topics: algorithmic-trading, alpha-research, backtesting, financial-ml, ibkr, machine-learning
An advanced crypto trading bot written in Python
GitHub repository with 7,982 stars and 1,131 forks.
Trending score: 0.93; stars gained: +8; forks gained: -1.
Language: JavaScript
Topics: cryptocurrency, trading-bot, trading-algorithms, trading, crypto, framework
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
GitHub repository with 722 stars and 110 forks.
Trending score: 0.48; stars gained: +2; forks gained: -1.
Language: Jupyter Notebook
Topics: jupyter-notebook, quantitative-finance, backtest, systematic-trading-strategies, trading, investment-strategies