makaveli10 / StockPrediction_TransformerLinks
Intra day Stock Prediction 10 minutes into the future
☆111Updated 6 years ago
Alternatives and similar repositories for StockPrediction_Transformer
Users that are interested in StockPrediction_Transformer are comparing it to the libraries listed below
Sorting:
- Stock Prediction usning Transformer NN☆84Updated 6 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆73Updated 4 years ago
- stock prediction with GAN and WGAN☆105Updated 3 years ago
- Stock price prediction using a Temporal Fusion Transformer☆118Updated 2 years ago
- The implementation of "modeling financial time-series with generative adversarial networks"☆63Updated 2 years ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆125Updated 5 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 4 years ago
- ☆62Updated 5 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆56Updated 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…☆109Updated 6 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 …☆264Updated 4 years ago
- ☆208Updated 2 years ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆57Updated 5 years ago
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆312Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆166Updated 6 years ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆89Updated 4 years ago
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆112Updated last year
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆91Updated 6 months ago
- Limit Order Book data analysis and modeling using LSTM network☆137Updated 6 years ago
- Open code for PriceGraph☆73Updated last year
- This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (…☆259Updated 2 years ago
- This is the project for deep learning in stock market prediction.☆227Updated 10 months ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆120Updated last year
- https://arxiv.org/abs/2006.04992☆19Updated 4 years ago
- Code relating to the paper - Stock Embeddings: Learning Distributed Representations for Financial Assets☆80Updated 11 months 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 …☆135Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- ☆54Updated 4 years ago
- Reproduction of code described in the paper "Stock Market Prediction Based on Generative Adversarial Network" by Kang Zhang et al.☆28Updated 5 years ago