YannickKae
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Python training for business analysts and traders
Machine Learning in Finance: From Theory to Practice Book
ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.
A multi-factor equity risk model for quantitative trading.
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
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…
A program for financial portfolio management, analysis and optimisation.
Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
High-performance TensorFlow library for quantitative finance.
Python library for portfolio optimization built on top of scikit-learn
Python interactive dashboards for learning data science
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Python toolkit for quantitative finance
Open source TCA (transaction cost analysis) Python library for FX spot
Transparent and Efficient Financial Analysis
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A portfolio management algorithm for the 21st century.
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
This repository contains everything you need to become proficient in Time Series Analysis and Forecasting
Quant/Algorithm trading resources with an emphasis on Machine Learning
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.