longfly04 / A-Stock-Prediction-System-with-Deep-LearningLinks
Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance of predictions.
☆100Updated 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:
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆304Updated 2 years ago
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 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
- Recurrent Neural Network for predicting Stock Returns☆121Updated 3 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆25Updated 5 years ago
- Stock factor mining with CNN and GRU.☆62Updated 2 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆80Updated 2 months 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
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆41Updated 2 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
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆82Updated 4 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 4 years ago
- 多因子选股(股票) ,基于Fama三因子构成的多因子策略☆78Updated 7 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
- 沪深300指数增强模型☆84Updated 5 years ago
- stock prediction with GAN and WGAN☆100Updated 2 years ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆253Updated 4 years ago
- 多因子选股框架☆24Updated 4 years ago
- 基于万矿平台，对alpha101因子进行测试并构造多因子策略☆92Updated 5 years ago
- A deep learning model for Financial Signal Representation and Trading☆74Updated 6 years ago
- Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …☆62Updated 2 years ago
- An internship project: Implement Barra model to take risk or style factor attribution based on multi-factor model.☆64Updated 7 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆165Updated 5 years ago
- A genetic programming algorithm used for generating alpha factors in the multi-factor investment strategy☆64Updated 4 years ago
- quantitative trading system based on deep learning and reinforcement learning☆53Updated 7 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☆31Updated 3 years ago
- Stock Prediction usning Transformer NN☆83Updated 6 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…☆65Updated 4 years ago
- stock predict by cnn and lstm☆38Updated 7 years ago
- stock☆89Updated 3 years ago