How to make a simple algorithmic trading strategy with a 472% return using Python. A thread. 🧵
Here's the link to their GitHub repo: github.com/jpmorganchase/…
JPMorgan's Python training. Published for business analysts and traders—by the best in the business. Get it all here (for free) on GitHub:
The cost behind the Python Quant Stack: • SciPy: $0 • Zipline: $0 • Python: $0 • NumPy: $0 • PyFolio: $0 • Pandas : $0 • OpenBB: $0 • Empyrical: $0 • AlphaLens: $0 • Statsmodels: $0 • RiskFolio-Lib: $0 Here's how to get started:
AI Agents and RAG tutorials with step-by-step instructions 100% Free and Opensource.
Transformers visually explained: poloclub.github.io/transformer-ex…
A full comprehensive guide on how to get started in Quantitative Finance Covers the topics: -Python & Rust -Mathematics, Statistics & Probability Theory -Optimization -Machine Learning -Numerical Methods -Derivatives and Pricing -Portfolio and Risk Management -Trading and…
🦥 Fine-tune Llama 3.1 Ultra-Efficiently with @UnslothAI New comprehensive guide about supervised fine-tuning on @huggingface. Over the last year, I've done a lot of fine-tuning and blogging. This guide brings it all together. 📝 Article: huggingface.co/blog/mlabonne/…
GPT-4o has been out for 20 hours. Coding will never be the same. Here are 9 insane things it can do: 1. Live demo of coding assistance and desktop app
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