BenjiKCF / Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
☆759Updated 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
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆742Updated 8 years ago
- A long term short term memory recurrent neural network to predict forex data time series☆307Updated 4 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆464Updated 8 years ago
- Algorithmic trading with deep learning experiments☆1,443Updated 6 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆559Updated 4 years ago
- Using multidimensional LSTM neural networks to create a forecast for Bitcoin price☆341Updated 7 years ago
- Stock price prediction with LSTMs in TensorFlow☆445Updated 8 years ago
- Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)☆259Updated 8 years ago
- Technical experimentations to beat the stock market using deep learning☆472Updated 8 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆425Updated 3 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆280Updated last year
- How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube☆772Updated 2 years ago
- Environment for reinforcement-learning algorithmic trading models☆711Updated 7 years ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆236Updated 10 months ago
- Companion code for the "Self Learning Quant" blog post☆257Updated 7 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆606Updated 2 years ago
- Machine learning models for time series analysis☆376Updated 3 years ago
- This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube☆655Updated 2 years ago
- Reinforcement Learning for Portfolio Management☆467Updated 6 years ago
- ☆114Updated 8 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆319Updated 4 years ago
- ☆278Updated 7 years ago
- ☆169Updated 7 years ago
- This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.☆798Updated 8 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…☆1,468Updated 7 years ago
- Learning to trade under the reinforcement learning framework☆507Updated 8 years ago
- Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/17…☆563Updated last month
- Deep Reinforcement Learning based Trading Agent for Bitcoin☆765Updated 6 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆315Updated 7 years ago
- TensorFlow Tutorial for Time Series Prediction☆1,104Updated 7 years ago