longfly04 / A-Stock-Prediction-System-with-Deep-Learning
Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance of predictions.
☆96Updated 5 years ago
Alternatives and similar repositories for A-Stock-Prediction-System-with-Deep-Learning
Users that are interested in A-Stock-Prediction-System-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆246Updated 3 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- Stock factor mining with CNN and GRU.☆55Updated 2 years ago
- 多因子选股(股票) ,基于Fama三因子构成的多因子策略☆76Updated 7 years ago
- ☆41Updated 2 years ago
- Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …☆63Updated 2 years ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 years ago
- 复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果☆34Updated 2 years ago
- 改进gplearn,主要使用在股票公式挖掘☆94Updated 4 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆60Updated 3 years ago
- Intra day Stock Prediction 10 minutes into the future☆105Updated 5 years ago
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆172Updated 5 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- A Study on Stock Price Prediction and Quantitative Strategy - Based on Deep Learning 『深層学習に基づく株価予測とクオンツ戦略に関する研究』基于深度学习的股票价格预测和量化策略研究☆26Updated 3 years ago
- 沪深300指数增强模型☆82Updated 5 years ago
- 因子回测框架☆111Updated last year
- Recurrent Neural Network for predicting Stock Returns☆119Updated 3 years ago
- 本文通过gplearn模型,结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统,主要针对股指期货操作。☆123Updated last year
- stock prediction with GAN and WGAN☆97Updated 2 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- 一个简单的量化研究框架,具备基本的数据获取、因子分析、机器学 习、回测及结果分析功能☆46Updated 3 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆81Updated 3 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- A risk evaluation program that follows BARRA's CNE6 and USE4 risk model to predict the risk and distribution of factors in a portfolio. C…☆64Updated 4 years ago
- 通过遗传算法、强化学习来自动选择高频因子☆23Updated 2 years ago
- Backtrader量化策略研报复现☆28Updated 3 years ago
- An end-to-end stock factors mining neural network framework.☆36Updated last year
- ☆17Updated 2 years ago
- Neural Networks to predict stock price☆39Updated 4 years ago
- Stock trading strategies play a critical role in investment. However, it is challenging to design a profitable strategy in a complex and …☆42Updated 3 years ago