QuantBloke's Projects
An agent-based trading framework
Supplemental Material for Algorithmic Trading and Quantitative Strategies
š Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Tool for working with the balance of your satoshis on LND
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Chollet: Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Inference code for CodeLlama models
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 3,100+ stars, 900+ forks
Cryptocurrency Exchange Websocket Data Feed Handler
Code for reproducing results from the paper "Unified Long Horizon Time Series Benchmark"
The official Python client library for Databento.
An implementation of DeepLOB (Zhang 2018)
A hopefully comprehensive guide to the defi derivative landscape
Face recognition using Tensorflow
YAD2K: Yet Another Darknet 2 Keras
Calendars for various securities exchanges.
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Free, open source crypto trading bot
Free trading strategies for Freqtrade bot
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Aurelien Geron's book, 3rd Edition. 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
Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
Book ISLP python
Self-hosted crypto trading bot (automated high frequency market making) written in C++
Making sense of web3 & crypto. Introduction to key concepts and ideas. Rigorous, constructive analysis of key claims pro and con. A look at the deeper hopes and aspirations.
Inference code for LLaMA models
Mastering the Lightning Network (LN)