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andrefagundes10's Projects

aiif icon aiif

Jupyter Notebooks and code for the book Artificial Intelligence in Finance (O'Reilly) by Yves Hilpisch.

catboost icon catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

finrl-meta icon finrl-meta

FinRL­-Meta: Dynamic datasets and market environments for FinRL.

five-minute-midas icon five-minute-midas

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

gold-return-prediction icon gold-return-prediction

In this repository, I will try to build a machine learning model that can predict the return in Gold over short term windows using historical returns on other traded commodities and financial instruments.

hftbacktest icon hftbacktest

A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books.

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

llm4regression icon llm4regression

Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their context, without any parameter update

popcorn-app icon popcorn-app

An experiment using the peerflix module of nodejs and connecting a bunch of APIs.

rlfinance icon rlfinance

The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance

rltrader icon rltrader

A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym

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