kossi25 Goto Github PK

actor-critic-methods-paper-to-code

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

degiroapi

An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data

emrtest

machine-learning-for-algorithmic-trading-second-edition

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

medium_notebook

Repository containing notebooks of my posts on Medium

pg-is-all-you-need

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

pix2pix-tensorflow

pix2pix tensorflow implementation

predictions

pyig

IG Markets Trading API

rainbow-is-all-you-need

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

snake-ga

AI Agent that learns how to play Snake with Deep Q-Learning

stock-market-analysis

Analyzing stock market trends using several different indicators in quantum finance. I explore machine learning and standard crossovers to predict future short term stock trends.

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.

tutorials

Code for all my tutorials

tv-mt4