a-bean-sprout / XGBoost_StockPricePredict
Attempt to use XGBoost in stock price prediction
☆83Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for XGBoost_StockPricePredict
- 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…☆51Updated 4 years ago
- 基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測☆46Updated 4 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 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
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆60Updated 6 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆40Updated 4 years ago
- ☆10Updated 3 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆14Updated 3 years ago
- Time Series Prediction, Stateful LSTM; 时间序列预测,洗发水销量/股票走势预测,有状态循环神经网络☆53Updated 7 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
- 使用pytorch搭建的循环神经网络在股票数据时间序列上的应用☆98Updated 6 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆100Updated 4 years ago
- LSTM 实现的股票最高价预测☆127Updated last year
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆18Updated 3 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆77Updated 4 years ago
- ☆79Updated 3 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…☆56Updated 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☆60Updated 4 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators,which help improving perfomance…☆83Updated 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。☆173Updated 2 years ago
- 多因子lstm预测☆14Updated 2 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆75Updated 2 years ago
- 建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行…☆65Updated 5 years ago
- 基于LSTM的股票价格预测☆59Updated 6 years ago
- 这是一个基于LSTM-RNN算法的线上金融股票价格走势预测的小项目,使用tensorflow框架实现。☆43Updated 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。☆93Updated 4 years ago
- Stock Price Prediction using CNN-LSTM☆83Updated 4 years ago