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A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Details on how to get Binance public data
Automated cryptocurrency trading bot
GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management
Downloads PDF files from the Comdirect postbox
:mortar_board: Path to a free self-taught education in Computer Science!
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Curated list of Python resources for data science.
A hopefully comprehensive guide to the defi derivative landscape
Pragmatic functional programming for Python inspired by F#
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Graphical Models in Heavy-Tailed Markets (NeurIPS 2021)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
A python-based implementation of the HAR model to forecast realized volatility on SPY.
Custom Jupyter Notebook Themes
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Machine Learning in Asset Management (by @firmai)
a cheat-sheet for mathematical notation in code form
An Obsidian.md vault for my math course notes in university.
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Financial Markets Data Visualization using Matplotlib
Smart contracts and transactions for Topshot, the official NBA digital collectibles game on the Flow Blockchain
Binance Exchange API python implementation for automated trading
Quantitative analysis, strategies and backtests
Portfolio analytics for quants, written in Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.