cmiao7 / stock_prediction-based-on-lstm-and-transformerLinks
☆100Updated 4 years ago
Alternatives and similar repositories for stock_prediction-based-on-lstm-and-transformer
Users that are interested in stock_prediction-based-on-lstm-and-transformer are comparing it to the libraries listed below
Sorting:
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆386Updated 3 years ago
- pytorch实现用LSTM做股票价格预测☆275Updated 5 years ago
- LSTM 实现的股票最高价预测☆141Updated 2 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 5 years ago
- 金融时间序列（预测分析 / 相似度 / 数据处理）☆244Updated last year
- 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
- stock predict with MLP,CNN,RNN,LSTM,Transformer and Transformer-LSTM☆272Updated 3 years ago
- 用深度学习对含噪时间序列数据进行预测☆27Updated 5 months 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。☆198Updated 3 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆82Updated 3 years ago
- ☆253Updated last year
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆103Updated 5 years ago
- LSTM神经网络预测沪深300指数及其涨跌☆41Updated 5 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆113Updated 5 years ago
- 通过修改transformer使其可以预测金融时间序列☆35Updated 4 years ago
- transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测☆235Updated 2 years ago
- 基于统计学的时间序列预测(AR,ARM).☆281Updated 4 years ago
- 基于pytorch实现的时间序列预测训练框架，各个部分模块化，方便修改模型。包含时间序列预测模型、训练、验证、测试、可视化、onnx导出、onnx推理。☆49Updated 2 months 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.☆17Updated 5 years ago
- 使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to…☆290Updated last year
- 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
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆34Updated 3 years ago
- Attempt to use XGBoost in stock price prediction☆89Updated 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☆107Updated 7 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆68Updated last year
- Deep learning PyTorch library for time series forecasting☆127Updated 2 years ago
- 基于LSTM的股票价格预测☆65Updated 6 years ago
- 基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks☆285Updated last week
- Stock Price Prediction using CNN-LSTM☆86Updated 5 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 …☆258Updated 4 years ago