afcarl Goto Github PK

followers: 60.0 following: 16.0 repos: 14.9K gists: 0.0

Name: Andrew Carl

Type: User

Bio: "GitHub AI Brain-of-Brains": https://2strikehitter.com/AI_BrainofBrains.html

Location: Las Vegas, Nevada, USA

Blog: https://afcarl.github.io

Andrew Carl's Projects

stock_market_indicators

A small Python library with most common stock market indicators

stock_market_prediction

Team Buffalox8 predicts directional movement of stock prices.

stock_market_prediction-1

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

stock_market_reinforcement_learning

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

stock_portfolio

Sample user stock portfolio developed using Python Django

stock_support_resistance_ml

Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time serial analysis.

stockeye

Keep track of short term stock movement by monitoring breaking news activity

stockhawk

Improved on an existing project to make it production ready

stocklook

crypto currency library for trading & market making bots, account management, and data analysis

stockprediction

Data and code of my Medium story on stock prediction with TensorFlow

stockpredictionai

Using Deep Learning & Artificial Intelligence to predict the Stock Market! Code used for the tutorial series on Energize.AI

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.