High-performing deep learning trader on a multithreaded financial exchange simulation.
GitHub repository with 21 stars and 6 forks.
Language: Jupyter Notebook
Topics: algorithmic-trading, artificial-intelligence, deep-learning, finance, market-simulator, quantitative-trading
2026-06-15: 21 stars and 6 forks.
📈 Create an order flow trading bot that analyzes past data and real-time signals for effective market execution and risk management.
GitHub repository with 7 stars and 2 forks.
Trending score: 0.83; stars gained: +2; forks gained: +0.
Language: Jupyter Notebook
Topics: algorithmic-trading, backtesting, cryptocurrency, data-visualization, finance, investing
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 6,354 stars and 1,130 forks.
Trending score: 3.79; stars gained: +50; forks gained: +8.
Language: Jupyter Notebook
A simple MPC controller for path tracking implemented in python
GitHub repository with 434 stars and 70 forks.
Trending score: 3.72; stars gained: +132; forks gained: +17.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,678 stars and 876 forks.
Trending score: 3.14; stars gained: +70; forks gained: +6.
Language: Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,508 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
GitHub repository with 74,172 stars and 12,554 forks.
Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: chatgpt, gpt-4, openai, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,154 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
"Vibe-Trading: Your Personal Trading Agent"
GitHub repository with 12,229 stars and 2,363 forks.
Trending score: 4.56; stars gained: +177; forks gained: +43.
Language: Python
Topics: ai-agent, algorithmic-trading, backtesting, fintech, llm, mcp
Open Source Algo Trading Platform for Everyone
GitHub repository with 2,046 stars and 993 forks.
Trending score: 2.39; stars gained: +10; forks gained: +5.
Language: Python
Topics: algotrading, amibroker, flask, python, sqlite, tradingview
An advanced crypto trading bot written in Python
GitHub repository with 8,044 stars and 1,145 forks.
Trending score: 2.37; stars gained: +11; forks gained: +5.
Language: JavaScript
Topics: algo-trading, algorithmic-trading, bitcoin, bot, crypto, crypto-bot
Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.
GitHub repository with 1,669 stars and 321 forks.
Trending score: 1.80; stars gained: +4; forks gained: +1.
Language: Python
Topics: broker, alpaca, trading-bot, finance, algorithmic-trading, backtesting
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GitHub repository with 107 stars and 348 forks.
Trending score: 1.58; stars gained: +8; forks gained: +0.
Language: JavaScript
Topics: algorithmic-trading, arbitrage, automated-trading, btc, clob, copy-trading
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find the stocks which are consolidating and may breakout, or the particular chart patterns that you're looking specifically to make your decisions.
GitHub repository with 356 stars and 160 forks.
Trending score: 1.10; stars gained: +2; forks gained: +2.
Language: Python
Topics: alerts, algorithmic-trading, algorithmic-trading-library, algotrading, algotrading-machine-learning, backtesting