rafatisina / Deep-Stock-PredctionLinks
https://arxiv.org/abs/2006.04992
☆19Updated 4 years ago
Alternatives and similar repositories for Deep-Stock-Predction
Users that are interested in Deep-Stock-Predction are comparing it to the libraries listed below
Sorting:
- 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
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆56Updated 5 years ago
- Deep Reinforcement Learning for Stock trading task☆21Updated 4 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆112Updated 6 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆91Updated 4 years ago
- ☆54Updated 3 years ago
- stock prediction with GAN and WGAN☆107Updated 3 years ago
- Trend Prediction for High Frequency Trading☆42Updated 3 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Intra day Stock Prediction 10 minutes into the future☆111Updated 6 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Updated 6 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆46Updated last year
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆97Updated 7 months ago
- Deep Reinforcement Learning Framework for Factor Investing☆30Updated 2 years ago
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Updated 6 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 3 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆88Updated 3 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆73Updated 4 years ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆122Updated last year
- 【Framework】Let the neural network 'freely' learn the relationship between different stocks. An intuitive example in quantitative finance,…☆25Updated 4 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 7 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 6 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 4 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆22Updated 5 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆17Updated 3 years ago
- Deep learning for limit order book trading and mid-price movement☆55Updated 5 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆32Updated 4 years ago
- ☆11Updated 2 months ago