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☆323Updated 5 years ago
- ☆128Updated 7 years ago
- ☆116Updated 8 years ago
- ☆170Updated 8 years ago
- Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.☆462Updated 9 years ago
- Implementations of FX trading with RRL☆64Updated 6 years ago
- An environment to high-frequency trading agents under reinforcement learning☆287Updated 8 years ago
- A long term short term memory recurrent neural network to predict forex data time series☆312Updated 4 years ago
- Stock prediction project using Recurrent Neural Network and LSTM☆44Updated 8 years ago
- Stock price prediction with LSTMs in TensorFlow☆444Updated 9 years ago
- 机器学习和量化分析学习进行中☆377Updated 7 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
- ☆279Updated 8 years ago
- Using deep actor-critic model to learn best strategies in pair trading☆319Updated 8 years ago
- python trading and backtest platform☆171Updated 6 years ago
- Applying Reinforcement Learning in Quantitative Trading☆350Updated last year
- Implemented a system that analyses previous stock data of various companies, processes Time-Series data and aims to forecast the trends o…☆82Updated 9 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
- Companion code for the "Self Learning Quant" blog post☆256Updated 8 years ago
- TensorBoard as a Zipline dashboard☆107Updated 3 years ago
- Using multidimensional LSTM neural networks to create a forecast for Bitcoin price☆343Updated 8 years ago
- Quant is a python-based system for stock trading strategy backtesting☆297Updated 10 years ago
- An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.☆122Updated 5 years ago
- Simple backtester for human.☆75Updated 8 years ago
- Technical experimentations to beat the stock market using deep learning☆481Updated 8 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆433Updated 4 years ago
- Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)☆134Updated 5 years ago
- Stock analysis/prediction model using machine learning☆191Updated 7 years ago
- Stock price prediction with recurrent neural network. The data is from the Chinese stock.☆281Updated last year
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆241Updated last year