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A list of online resources for quantitative modeling, trading, portfolio management
Examples of an additional modules for Quantower trading platform
Expert Python Programming, Fourth Edition published by Packt
ffn - a financial function library for Python
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Resources for Quantitative Finance
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Transparent and Efficient Financial Analysis
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
Python library to download market data via Bloomberg, Eikon, Quandl, Yahoo etc.
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
Performant and effortless finance plotting for Python
A program for financial portfolio management, analysis and optimisation.
A footprint reversal system to be used inline with your market structure analysis.
12 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
Python module to get real-time stock data from Google Finance API
Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
Hands-On Financial Trading with Python, published by Packt
Hands-On Machine Learning with C++, published by Packt
Modern, extensible Python project management
Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.
Hidden Markov Models in Python, with scikit-learn like API
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
pix2tex: Using a ViT to convert images of equations into LaTeX code.
Inference code for LLaMA models
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Listed Volatility and Variance Derivatives (Wiley Finance)
Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos Lรณpez de Prado.
Markdown rendering + Latex extras (equations, tables, ...), with conversion features, for the scientific community
Machine learning metrics for distributed, scalable PyTorch applications.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.