BenjiKCF / Neural-Net-with-Financial-Time-Series-DataLinks
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
☆762Updated 4 years ago
Alternatives and similar repositories for Neural-Net-with-Financial-Time-Series-Data
Users that are interested in Neural-Net-with-Financial-Time-Series-Data are comparing it to the libraries listed below
Sorting:
- Algorithmic trading with deep learning experiments☆1,449Updated 6 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆463Updated 8 years ago
- Stock price prediction with LSTMs in TensorFlow☆444Updated 9 years ago
- How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube☆773Updated 3 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆768Updated 9 years ago
- Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)☆258Updated 8 years ago
- Using multidimensional LSTM neural networks to create a forecast for Bitcoin price☆342Updated 8 years ago
- This is an LSTM stock prediction using Tensorflow with Keras on top.☆231Updated 8 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆430Updated 3 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆281Updated last year
- Technical experimentations to beat the stock market using deep learning☆478Updated 8 years ago
- ☆278Updated 7 years ago
- This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube☆655Updated 3 years ago
- A long term short term memory recurrent neural network to predict forex data time series☆310Updated 4 years ago
- This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.☆802Updated 8 years ago
- Learning to trade under the reinforcement learning framework☆514Updated 8 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆564Updated 4 years ago
- This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to…☆1,481Updated 7 years ago
- Companion code for the "Self Learning Quant" blog post☆258Updated 7 years ago
- Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/17…☆565Updated 4 months ago
- ☆115Updated 8 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Updated 5 years ago
- Environment for reinforcement-learning algorithmic trading models☆713Updated 7 years ago
- Reinforcement Learning for Portfolio Management☆473Updated 7 years ago
- Data and code of my Medium story on stock prediction with TensorFlow☆522Updated 7 years ago
- Deep Reinforcement Learning based Trading Agent for Bitcoin☆779Updated 7 years ago
- ☆169Updated 7 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆616Updated 2 years ago
- Machine Learning for finance and investment introduction☆259Updated 7 years ago
- This is the code for "Stock Market Prediction" by Siraj Raval on Youtube☆238Updated 7 years ago