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Supplemental Material for Algorithmic Trading and Quantitative Strategies
Performance analysis of predictive (alpha) stock factors
Approaching (Almost) Any Machine Learning Problem
🏎️ A curated list of awesome things related to Solana 🏎️
Tool for working with the balance of your satoshis on LND
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges
Code for IJCAI 2021 main conference paper "Long-term, Short-term and Sudden Event: Trading Volume Movement Prediction with Graph-based Multi-view Modeling"
charge-lnd is a simple policy based fee manager for LND. With this tool you can set fees to autobalance, recover channel open costs, use on-chain fees as reference, use channel activity to determine fees or just use static fees.
Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more
Code to accompany our paper Chen and Zimmermann (2020), "Open source cross-sectional asset pricing"
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks
Cryptocurrency Exchange Feed Handler with synthetic NBBO
Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
Curated list of Python resources for data science.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
A hopefully comprehensive guide to the defi derivative landscape
Neural network local volatility with dupire formula
Effective Python: Second Edition — Source Code and Errata for the Book
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
Python library to download market data via Bloomberg, Quandl, Yahoo etc.
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Example code for the book Fluent Python
Free, open source crypto trading bot
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
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.
Python sync/async framework for Interactive Brokers API
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.