GabrielAbra's Stars
Farmhouse121/Wilmott-Articles
This contains notebooks and scripts used to support my writing in WILMOTT Magazine.
yokoffing/filterlists
Collection of blocklists to fill in the gaps
yokoffing/Betterfox
Firefox user.js for speed, privacy, and security. Your favorite browser, but better.
jpmorganchase/python-training
Python training for business analysts and traders
unicamp-dl/PTT5
Code for training and evaluating T5 on Portuguese data.
Chuyu-Team/Dism-Multi-language
Dism++ Multi-language Support & BUG Report
cristianomm/jft
Matching engine para simulação da bolsa de valores
useric/MTH9879-Market-Microstructure-Models
Baruch MFE 2019 Spring
kpuchalskixiv/Impact-of-market-microstructure-on-stock-price
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.
pengxin123/mth-9879
Baruch course - Market Microstructure
jktis/Trade-Classification-Algorithms
To classify trades into buyer- and seller-initiated.
gjimzhou/MTH9879-Market-Microstructure-Models
A collection of homeworks of market microstructure models.
jshellen/statarb
echalkpad/MTH9894-Algo-Trading
Baruch MFE MTH9894
ck2w/baruch-mfe-lab
Baruch MFE program quant lab
millengustavo/ml-books
My notes on some books I read on Machine Learning
nubank/fklearn
fklearn: Functional Machine Learning
borisbanushev/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
matplotlib/mplfinance
Financial Markets Data Visualization using Matplotlib
zvtvz/zvt
modular quant framework.
dcajasn/Riskfolio-Lib
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
georgezouq/awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Gabriel-Azevedo-Ferreira/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
prophesier/diff-svc
Singing Voice Conversion via diffusion model
blackrock/HOLA
cvxpy/cvxpy
A Python-embedded modeling language for convex optimization problems.
LeDragoX/Win-Debloat-Tools
Re-imagining Windows like a minimal OS install, already debloated with minimal impact for most functionality.
sandipanpaul21/Clustering-in-Python
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.
hello2all/gamma-ray
High frequency trading bot for crypto currencies