JordiCorbilla / stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
☆589Updated 2 weeks ago
Alternatives and similar repositories for stock-prediction-deep-neural-learning:
Users that are interested in stock-prediction-deep-neural-learning are comparing it to the libraries listed below
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,376Updated last year
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆266Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆471Updated 3 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆606Updated 2 years ago
- This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in …☆941Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆594Updated 2 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆651Updated 5 months ago
- Stock Market Prediction & Trading Bot using AI with a Web Interface☆278Updated 3 months ago
- This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equ…☆409Updated last year
- Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomF…☆279Updated last month
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆316Updated 2 years ago
- Backtest and live trading in Python☆588Updated 10 months ago
- Framework for algorithmic trading☆837Updated last year
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆274Updated 3 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆887Updated last year
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,790Updated this week
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.☆310Updated 4 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆405Updated 5 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆750Updated 8 years ago
- MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning bas…☆505Updated last year
- Simple to use interfaces for basic technical analysis of stocks.☆353Updated last year
- ☆197Updated last month
- Using python and scikit-learn to make stock predictions☆1,841Updated 10 months ago
- Regression, Scrapers, and Visualization☆396Updated last year
- Support and Resistance Trend lines Calculator for Financial Analysis☆664Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆348Updated 2 years ago
- Small package that helps to find support and resistance levels and plot them on chart☆431Updated last year
- Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price acti…☆340Updated 2 months ago
- A Python CLI tool to scan, detect, and plot stock chart patterns☆246Updated 3 months ago
- Teaches step-by-step to analysis stock data in python.☆394Updated last year