happynoom / DeepTrade_kerasLinks
☆229Updated 5 years ago
Alternatives and similar repositories for DeepTrade_keras
Users that are interested in DeepTrade_keras are comparing it to the libraries listed below
Sorting:
- A LSTM model using Risk Estimation loss function for stock trades in market☆320Updated 5 years ago
- ☆128Updated 7 years ago
- ☆116Updated 8 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆462Updated 8 years ago
- ☆170Updated 7 years ago
- Stock price prediction with LSTMs in TensorFlow☆443Updated 9 years ago
- A long term short term memory recurrent neural network to predict forex data time series☆311Updated 4 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- Applying Reinforcement Learning in Quantitative Trading☆351Updated last year
- Stock prediction project using Recurrent Neural Network and LSTM☆44Updated 8 years ago
- An environment to high-frequency trading agents under reinforcement learning☆283Updated 8 years ago
- 机器学习和量化分析学习进行中☆375Updated 7 years ago
- python trading and backtest platform☆171Updated 5 years ago
- zipline 是开源量化平台,但是当前zipline 并不支持A股的测试,很多在线平台如优矿,聚宽等都是基于zipline,本项目改进zipline,使得zipline支持A股测试☆27Updated 8 years ago
- Companion code for the "Self Learning Quant" blog post☆258Updated 7 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆320Updated 8 years ago
- ☆73Updated 7 years ago
- ☆128Updated 7 years ago
- Potato, a Pythonic Algorithmic Trading Framework☆66Updated 8 years ago
- Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.☆567Updated 4 years ago
- Quant is a python-based system for stock trading strategy backtesting☆297Updated 10 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆281Updated last year
- ☆278Updated 8 years ago
- This project explores the way to construct the multiple factor risk model to calculate the risk contribution of each factor and the total…☆73Updated 7 years ago
- Holidays of Shanghai and Shenzhen stock exchanges☆147Updated 2 months ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆240Updated last year
- An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.☆122Updated 5 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆430Updated 4 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆775Updated 9 years ago
- Data Adapter for Windpy☆34Updated 7 years ago