Ru-Yan / Sharpe-LSTM-Investment-Model
The research provides effective management strategies for different asset portfolios in the financial sector by building models. The VMD-LSTM-PSO model is developed for daily financial market price forecasting, where the time series are decomposed by VMD and the sub-series are used as LSTM input units to carry out forecasting, and then the netwo…
☆20Updated 2 years ago
Alternatives and similar repositories for Sharpe-LSTM-Investment-Model:
Users that are interested in Sharpe-LSTM-Investment-Model are comparing it to the libraries listed below
- Temporal Convolutional Neural Net for stock selection, using a Genetic Algorithm for feature selection☆32Updated 4 years ago
- This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanh…☆48Updated 2 years ago
- Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU☆29Updated 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…☆24Updated 3 years ago
- GA,PSO,LSTM...☆23Updated 6 years ago
- ☆40Updated 3 years ago
- ☆10Updated 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☆61Updated 6 years ago
- Python notebook implementation of hyperparameter tuning of LSTM deep learning model using Genetic algorithm☆19Updated 3 years ago
- Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM☆59Updated 9 months ago
- ☆23Updated 3 years ago
- ☆13Updated 3 years ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆87Updated 2 years ago
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆61Updated last year
- Time Series Forecasting of Bitcoin Prices using LSTM and RNN with Particle Swarm Optimization and Grey Wolf Optimizer☆19Updated last year
- Tree seed algorithm and Particle Swarm algorithm are used for searching the LSTM hyper parameters☆10Updated last year
- ☆14Updated 3 years ago
- Predicted a stock price close of a day based on the last 7 day’s time series data using Neural Network, LSTM and CNN. Found the best numb…☆11Updated 5 years ago
- ☆28Updated last year
- stock forecasting with sentiment variables(with lstm as generator and mlp as discriminator)☆34Updated 5 years ago
- Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…☆37Updated last year
- Stock Price Prediction of any Organizations using SVR☆18Updated 5 years ago
- ☆16Updated 2 years ago
- ☆23Updated last month
- Stock Price Prediction using CNN-LSTM☆85Updated 5 years ago
- This project is an implementation of the paper Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. The model LSTNe…☆17Updated 5 years ago
- Seoultech AI Class Team Project☆11Updated 3 years ago
- ☆9Updated 3 years ago
- CNN+LSTM+Attention predict stock☆45Updated 2 years ago