a-bean-sprout / XGBoost_StockPricePredict
Attempt to use XGBoost in stock price prediction
☆85Updated 4 years ago
Alternatives and similar repositories for XGBoost_StockPricePredict
Users that are interested in XGBoost_StockPricePredict are comparing it to the libraries listed below
Sorting:
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆33Updated 4 years ago
- 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 4 years ago
- stock predict by cnn and lstm☆38Updated 6 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆110Updated 5 years ago
- ☆10Updated 3 years ago
- RNN - Stock Prediction Model using Attention Multilayer Recurrent Neural Networks with LSTM Cells☆39Updated 7 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆61Updated 6 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆19Updated 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
- 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☆47Updated 4 years ago
- 基於DA-RNN之DSTP-RNN論文試做(Ver1.0)☆76Updated 4 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆35Updated 5 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☆105Updated 7 years ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆31Updated 2 years ago
- Forex Time-Series Prediction Using TCN☆44Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆73Updated 3 months ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆21Updated 3 years ago
- Seoultech AI Class Team Project☆13Updated 3 years ago
- ☆42Updated 4 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☆58Updated 7 years ago
- Undergradute final project with ARIMA,LSTM,GRU,Xgboost and DeepTTE.毕业论文代码库合集,包括基于ARIMA,LSTM,GRU进行时间序列预测,基于DeepTTE解决ETA(estimated time of …☆20Updated 2 years ago
- 根据Seanny123复现论文A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction的pytorch代码进行相关修改,适应pytorch1.2版本☆31Updated 4 years ago
- Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data☆33Updated 4 years ago
- Custom version of LSTNet☆13Updated 3 years ago
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测,除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆46Updated 4 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…☆79Updated 6 years ago
- 使用深度学习模型LSTM和ConvLSTM结合Attention,对金融衍生品的成交持仓比指标进行预测☆17Updated 3 years ago
- EA-LSTM: Evolutionary attention-based LSTM for time series prediction☆37Updated 5 years ago
- time series forecasting using keras, inlcuding LSTM,RNN,MLP,GRU,SVR and multi-lag training and forecasting method, ICONIP2017 paper.☆118Updated 6 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 5 years ago