pushpendughosh / Stock-market-forecastingLinks
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
☆479Updated 3 years ago
Alternatives and similar repositories for Stock-market-forecasting
Users that are interested in Stock-market-forecasting are comparing it to the libraries listed below
Sorting:
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆267Updated last year
- Programs for stock prediction and evaluation☆360Updated 5 months ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆600Updated last month
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆596Updated 2 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 …☆250Updated 3 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆609Updated 2 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆426Updated 3 years ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆427Updated last year
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,518Updated last year
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆656Updated 6 months ago
- Mostly experiments based on "Advances in financial machine learning" book☆554Updated 4 years ago
- experiments with pair trading☆299Updated 5 months ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆311Updated 4 years ago
- ☆197Updated 2 months ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆277Updated 3 years ago
- GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hed…☆257Updated 3 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆408Updated 5 years ago
- Quantitative finance research tools in Python☆425Updated 2 years ago
- ☆212Updated 7 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆321Updated 4 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆262Updated 2 years ago
- Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory☆302Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆352Updated 2 years ago
- An workflow in factor-based equity trading, including factor analysis and factor modeling. For well-established factor models, I implemen…☆362Updated 6 years ago
- Python package for trend detection on stock time series data☆471Updated last year
- Portfolio optimization with deep learning.☆1,009Updated last year
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆215Updated 5 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆120Updated 3 years ago
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆947Updated last year
- This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.o…☆527Updated last year