Mario J. Pinheiro's repositories
Machine-Learning-for-Algorithmic-Trading-Second-Edition
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
Physics_models
Collection of codes to simulate physical phenomena and econophysics
AI-Strategies-StockMarket
App to test strategies based on artificial intelligence for investing in the stock market.
artificial-intelligence-for-trading
Content for Udacity's AI in Trading NanoDegree.
avellaneda-stoikov
Avellaneda-Stoikov HFT market making algorithm implementation
bitmex-bot
bitmex trading bot
BitMEX-simple-trading-robot
Simple BitMEX trading robot.
deephaven-ib
An Interactive Brokers integration for Deephaven
EcoEvo
EcoEvo Mathematica Package
Econophysics
Collection of Python scripts for the book "An Introduction to Econophysics: Contemporary Approaches with Python Simulations"
ewstools
Python package for early warning signals (EWS) of bifurcations in time series data.
FinRL-Meta
FinRL-Meta: Data-Driven Metaverse for Financial Reinforcement Learning. 🔥
IPython_Notebooks
My IPython Notebooks.
jsbsim
An open source flight dynamics & control software library
mjgpinheiro
Config files for my GitHub profile.
ml-crypto-trading-bot
Experimental cryptocurrency trading bot using Machine Learning and Rust
Momentum-Trading-Example
An example algorithm for a momentum-based day trading strategy.
python-ai-trading-system
Code for How To Create A Fully Automated AI Based Trading System With Python
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
Signal-Analysis-Using-FFT
This code tries to implement signal denoising of financial data using Fast Fourier Transform
Simple-Algorithmic-Trading-Crash-course
This repository includes all the files given in the Simple Algorithmic Crash course from UDEMY
Strategy-HeikenAshi
Strategy based on the Heiken Ashi candlesticks.
TensorFlow-stocks-prediction-Machine-learning-RealTime
Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:
time-series-analyses-and-climate-change
Ties together the notebooks and data pertaining to a blog post on medium - the blog post focusses on some fundamentals of time series analyses.