makaveli10 / StockPrediction_Transformer
Intra day Stock Prediction 10 minutes into the future
☆103Updated 5 years ago
Alternatives and similar repositories for StockPrediction_Transformer:
Users that are interested in StockPrediction_Transformer are comparing it to the libraries listed below
- Stock Prediction usning Transformer NN☆81Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- Stock price prediction using a Temporal Fusion Transformer☆90Updated last year
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- The implementation of "modeling financial time-series with generative adversarial networks"☆62Updated last year
- 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
- stock prediction with GAN and WGAN☆93Updated 2 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆53Updated 4 years ago
- Stock prediction thru TFT☆37Updated 3 years ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆114Updated 4 years ago
- This is the project for deep learning in stock market prediction.☆215Updated last month
- A Python implementation of a Hybrid LSTM-GARCH model for volatility forecasting☆29Updated 2 years ago
- ☆62Updated 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…☆90Updated 5 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 2 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- Open code for PriceGraph☆68Updated 9 months ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆52Updated 4 years ago
- Mean-Variance Optimization using DL (pytorch)☆30Updated 2 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 2 years ago
- Reproduce AAAI22-FactorVAE☆57Updated last year
- CNN for stock market prediction using raw data & candlestick graph.☆164Updated 5 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆63Updated 6 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆51Updated last year
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago
- Implemented some mathematical processings used in the Barra risk model☆25Updated last year
- ☆46Updated 3 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆61Updated 7 months ago
- Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets☆410Updated 6 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆70Updated 2 months ago