githubguoheng / Stock-Price-Prediction-Project-CodeLinks
使用机器学习(LSTM)进行多变量时间序列预测股价
☆16Updated last year
Alternatives and similar repositories for Stock-Price-Prediction-Project-Code
Users that are interested in Stock-Price-Prediction-Project-Code are comparing it to the libraries listed below
Sorting:
- 使用随机森林、bp神经网络、LSTM神经网络、GRU对股票收盘价进行回归预测。Random forest, BP neural network, LSTM neural network and GRU are used to predict the closing pric…☆53Updated 5 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☆29Updated 3 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 5 years ago
- Use BPNN and LSTM to forecast stock price. 使用BP神经网络和LSTM预测股票价格,注释拉满。☆195Updated 3 years ago
- 用深度学习对含噪时间序列数据进行预测☆28Updated 3 months ago
- ☆12Updated 3 years ago
- 使用LSTM对股票价格进行回归预测,对股价涨跌进行分类预测。We use LSTM to forecast the stock price and classify the rise and fall of the stock price.☆18Updated 4 years ago
- Attempt to use XGBoost in stock price prediction☆85Updated 4 years ago
- 算法根据单个板块或单只股票的历史数据判断板块指数或个股次日收盘价信息,得到相应的调仓对策。可回归(预测具体价格)可分类(预测涨跌)。 长短期记忆模型(LSTM)是循环神经网络(RNN)的一种,每个输入样本都是一个序列(如某板块20天的四价一量)用这个序列预测结果。它认为某些…☆62Updated 5 years ago
- An attempt to implement the idea behind this paper: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0212320☆20Updated 3 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 4 years ago
- 时间序列建模、混沌时间序列预测☆10Updated 2 years ago
- 多因子打分选股☆13Updated 3 years ago
- 股票预测,Pytorch,LSTM。☆17Updated 4 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆19Updated 4 years ago
- (陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM等☆68Updated 5 years ago
- stock predict by cnn and lstm☆38Updated 7 years ago
- ☆97Updated 3 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆62Updated 6 years ago
- 基于BP神经网络的高频金融时间序列分析 (毕设)☆47Updated 6 years ago
- ☆10Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆97Updated 5 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 4 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆66Updated last year
- 基于LSTM的股票价格预测☆65Updated 6 years ago
- 基于机器学习的股票投资算法,使用到了Auto-ARIMA、LSTM、SVM、Prophet、朴素贝叶斯、移动平均算法等多个算法,从信息收集、算法分析、回测等多个方面进行分析,从消息面、基本面、技术面三种分析方法进行分析。☆97Updated 5 years ago
- Using three approaches to calculate Value at Risk and Conditional Value at Risk of a portfolio of assets.☆14Updated 5 years ago
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆35Updated 2 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- 深度学习-贵州茅台股票预测 PCA、FA、RNN、LSTM、GRU☆28Updated 3 years ago