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:
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Updated 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…☆100Updated 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…☆60Updated 3 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆26Updated 2 years ago
- Open code for PriceGraph☆71Updated last year
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆69Updated 3 years ago
- Intra day Stock Prediction 10 minutes into the future☆109Updated 6 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆80Updated 2 months ago
- Deep Reinforcement Learning for Stock trading task☆20Updated 4 years ago
- ☆52Updated 3 years ago
- This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in Chi…☆82Updated 4 years ago
- stock prediction with GAN and WGAN☆100Updated 2 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆32Updated last year
- ☆77Updated 5 years ago
- Reimplementation of Paper: (Re-)Imag(in)ing Price Trends☆60Updated 11 months ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆43Updated 6 months ago
- StockFormer: A Swing Trading Strategy Based on STL Decomposition and Self-Attention Networks☆114Updated last year
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 10 months ago
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆129Updated last year
- ☆65Updated 2 years ago
- For Chinese comments, the Finbert model was used to conduct polarity analysis and predict stock price rise☆25Updated 4 years ago
- 利用Wind API更新周频与月频因子☆12Updated 5 years ago
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆31Updated 5 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆82Updated 2 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆29Updated 4 months 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
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 10 months ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆83Updated 4 years ago
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Updated 5 years ago