Pinned Repositories
accion
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
BRASIL-RL-Application-and-Analysis
Cauchobot
chuchobot
FinReinfLeLrary
FinRL: Financial Reinforcement Learning. 🔥
freqtrade
Free, open source crypto trading bot
imaging_time_series
Encoding_Time_Series_as_Images
italia
mlfinlab
Package based on the textbooks: Advances in Financial Machine Learning and Machine Learning for Asset Managers, by Marcos Lopez de Prado.
dmdiegoar's Repositories
dmdiegoar/accion
dmdiegoar/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
dmdiegoar/BRASIL-RL-Application-and-Analysis
dmdiegoar/Cauchobot
dmdiegoar/chuchobot
dmdiegoar/FinReinfLeLrary
FinRL: Financial Reinforcement Learning. 🔥
dmdiegoar/freqtrade
Free, open source crypto trading bot
dmdiegoar/imaging_time_series
Encoding_Time_Series_as_Images
dmdiegoar/italia
dmdiegoar/mlfinlab
Package based on the textbooks: Advances in Financial Machine Learning and Machine Learning for Asset Managers, by Marcos Lopez de Prado.
dmdiegoar/portfolio-BackEnd
backend portfolio Argentina programa
dmdiegoar/Portfoliodm
dmdiegoar/quant-trading
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
dmdiegoar/Reinforcement-Learning-in-Finance
Materials for blogs and conferences
dmdiegoar/Reinforcement-Learning-Stock-Trader
Reinforcement Learning Script that trades Equities from Yahoo Finance
dmdiegoar/solana_gym
OpenAI Gym Environment for Trading on Solana blockchain
dmdiegoar/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.
dmdiegoar/velas