omerbsezer / TimeSeries2DBarChartImageCNNLinks
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
☆42Updated 2 years ago
Alternatives and similar repositories for TimeSeries2DBarChartImageCNN
Users that are interested in TimeSeries2DBarChartImageCNN are comparing it to the libraries listed below
Sorting:
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 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 3 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆30Updated 6 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 7 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 …☆133Updated 2 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- Trend Prediction for High Frequency Trading☆42Updated 2 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 11 months ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆66Updated 2 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
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- ☆45Updated 3 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Updated 5 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆37Updated 6 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆84Updated 2 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 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…☆100Updated 5 years ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆14Updated 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
- Pair Trading Strategy using Machine Learning written in Python☆119Updated 3 years ago