Olivier Van Parys's repositories
BullETS
BullETS is a Python library designed to help with the development of algorithmic trading strategies.
EasyIB
Python wrapper for Interactive Brokers Client Portal Web API
WorldQuant-Data-Science-Program
Here you can find all the 8 projects of WorldQuant's Data Science Program along with my certification. I had no references to get clues from when studying this program so I hope this proves handy to others.
financial-data-science
Financial and Investment Data Science: FinDS Python library and examples for applying quantitative and machine learning methods on structured and unstructured financial data sets
trials
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
talib-build
Build TA-Lib wheels for Windows
AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
freqtrade-strategies
Free trading strategies for Freqtrade bot
-NEWPROJECT-S-R-IG-Index
Python script to detect Support and resistance levels, using IG Index
tweepy
Twitter for Python!
qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
EconPDEs.jl
Solve non-linear HJB equations.
awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
alpaca-lora
Instruct-tune LLaMA on consumer hardware
py-trading-bot
Trading-bot in python using django, vertorbt lib and interactive-brokers
ib_tools-1
Tools to work with Interactive Brokers using ib_insync
ib_insync-adaptive-option
Learning to python with ib_insync
supercharger
Supercharge Open-Source AI Models
prompt_trader
This Python script is designed to perform prompt engineering by leveraging natural language processing (NLP) outputs to create high-quality input prompts for generative AI models. The main goal is to generate trading prompts based on the most prevalent themes in 100 recent news headlines, which can then be fed into an AI generative model.
VectorBT-AlgoTrading101
VectorBT Backtesting