lmspale's Stars
clisztian/MicropricesFX
Microprice estimator for pretrade data
tizianfischer/paper1_fxpred
Intraday Forecasting von FX Spot Rates mit Transformer
AI4Finance-Foundation/FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
hudson-and-thames/arbitragelab
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.
ja-pavi/FX-Options-Garman-Kohlhagen
FX Options using the Garman Kohlhagen Pricing Model in Python
oumarndiaye/Projet_QF_partie_2
Vanna-volga pricer for fx options
meta-llama/llama3
The official Meta Llama 3 GitHub site
adrianolszewski/model-based-testing-hypotheses
Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this approach.
JerBouma/FinanceToolkit
Transparent and Efficient Financial Analysis
gto76/python-cheatsheet
Comprehensive Python Cheatsheet
HugoDelatte/awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
Kanaries/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
dbrojas/optlib
A library for financial options pricing written in Python.
vollib/vollib
Fundamentally a swig/python wrapper around Peter Jaeckel's lets_be_rational. lets_be_rational focuses exclusively on Black76, while Vollib extends this to add support for Black-Scholes and Black-Scholes-Merton.
silahian/VisualHFT
VisualHFT is a cutting-edge GUI platform for market analysis, focusing on real-time visualization of market microstructure. Built with WPF & C#, it displays key metrics like Limit Order Book dynamics and execution quality. Its modular design ensures adaptability for developers and traders, enabling tailored analytical solutions.
Yvictor/TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
paperswithbacktest/awesome-systematic-trading
A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
mfrdixon/ML_Finance_Codes
Machine Learning in Finance: From Theory to Practice Book
mfrdixon/dq-MM
Deep Q-Learning for Market Making
AsyncAlgoTrading/aat
Asynchronous, event-driven algorithmic trading in Python and C++
chrisconlan/algorithmic-trading-with-python
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
goldmansachs/gs-quant
Python toolkit for quantitative finance
jasonstrimpel/volatility-trading
A complete set of volatility estimators based on Euan Sinclair's Volatility Trading
microsoft/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.
JerBouma/FinanceDatabase
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
dado0583/SDRScraper
Pulls down and stores data from the DTCC SDR repository
leodai716/DTCCDerivatives
robcarver17/pysystemtrade_examples
Examples using pysystemtrade for my blog qoppac.blogspot.com