Circle-1 / Stock-X
NN models designed to analyze and predict stock market from any stock data given
☆28Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Stock-X
- Stock Price Prediction using CNN-LSTM☆83Updated 4 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆63Updated 3 years ago
- ☆40Updated 3 years ago
- Stock Price Prediction with PCA and LSTM☆14Updated 3 years ago
- Forex Time-Series Prediction Using TCN☆44Updated 5 years ago
- Comparative Analysis of Conv1D-LSTM with CNN , LSTM for Stock Price Prediction☆60Updated 6 years ago
- Stock Prediction usning Transformer NN☆80Updated 5 years ago
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆54Updated 5 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆18Updated 3 years ago
- LSTM-XGBoost Time Series Forecasting☆108Updated 9 months ago
- Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction☆281Updated 2 years ago
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆33Updated 5 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆21Updated 6 years ago
- Stock market prediction model ANN, SVM, SVR☆16Updated 6 years ago
- Measure market risk by CAViaR model☆10Updated 7 months ago
- stock prediction with GAN and WGAN☆89Updated 2 years ago
- Gold Price Prediction using CNN-LSTM and CNN-GRU model: We have built univariate and multivariate CNN-LSTM, CNN-GRU and many variants of …☆13Updated 2 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 …☆127Updated 2 years ago
- Multi-Factor Stock Profit Prediction Using EMD-ALSTM☆27Updated 5 years ago
- Intra day Stock Prediction 10 minutes into the future☆102Updated 5 years ago
- probabilistic forecasting with Temporal Fusion Transformer☆39Updated 2 years ago
- This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attentio…☆23Updated 3 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆70Updated 5 years ago
- The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-…☆20Updated 2 years ago
- ☆10Updated 3 years ago
- Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning☆17Updated last year
- Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …☆53Updated 5 months ago