Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
☆624Mar 25, 2023Updated 2 years ago
Alternatives and similar repositories for Deep-Convolution-Stock-Technical-Analysis
Users that are interested in Deep-Convolution-Stock-Technical-Analysis are comparing it to the libraries listed below
Sorting:
- Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data f…☆147Sep 18, 2017Updated 8 years ago
- This is a Machine Learning project using Convolutional Neural Network to predict the stock price. It is done after a project article by A…☆42Jun 30, 2021Updated 4 years ago
- Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Fin…☆357Dec 26, 2022Updated 3 years ago
- Python library of various financial technical indicators☆662Oct 21, 2020Updated 5 years ago
- Use NLP to predict stock price movement associated with news☆872Jul 15, 2024Updated last year
- Technical Indicators used in Stock Market Analysis☆468Oct 13, 2021Updated 4 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆617Mar 30, 2023Updated 2 years ago
- Deep Learning based Python Library for Stock Market Prediction and Modelling☆2,255Jan 17, 2021Updated 5 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆805May 21, 2016Updated 9 years ago
- Automatically identifies support and resistance lines on a stock chart using reversal points, displays candlestick chart.☆318Apr 26, 2023Updated 2 years ago
- Predicting stocks with ML.☆44Jun 24, 2018Updated 7 years ago
- A Python Pandas implementation of technical analysis indicators☆781May 30, 2018Updated 7 years ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,712Mar 1, 2024Updated 2 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,514Aug 8, 2023Updated 2 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆420Oct 29, 2019Updated 6 years ago
- Using python and scikit-learn to make stock predictions☆1,928Jun 17, 2024Updated last year
- Use deep learning, genetic programming and other methods to predict stock and market movements☆436Aug 28, 2021Updated 4 years ago
- Implemented Recurrent Neural Networks in Keras with candlestick stock price information to predict future price movement.☆56Feb 24, 2017Updated 9 years ago
- Stock analysis/prediction model using machine learning☆190Dec 12, 2017Updated 8 years ago
- an implementation of reinforcement learning problem, stock prices☆10Dec 26, 2016Updated 9 years ago
- Regression, Scrapers, and Visualization☆396Jul 6, 2023Updated 2 years ago
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.☆1,972Jul 28, 2022Updated 3 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆756Jul 6, 2022Updated 3 years ago
- Simple to use interfaces for basic technical analysis of stocks.☆367Dec 28, 2023Updated 2 years ago
- Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau☆1,964May 4, 2025Updated 9 months ago
- Small package that helps to find support and resistance levels and plot them on chart☆458Jul 6, 2023Updated 2 years ago
- We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.☆271Dec 8, 2022Updated 3 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆142Dec 30, 2021Updated 4 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆167Sep 17, 2019Updated 6 years ago
- A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep rei…☆688Nov 6, 2024Updated last year
- Introducing neural networks to predict stock prices☆772Aug 3, 2019Updated 6 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆170Jul 12, 2020Updated 5 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆216Feb 28, 2020Updated 6 years 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…☆286Aug 31, 2021Updated 4 years ago
- This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to…☆1,490Jan 22, 2018Updated 8 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51May 21, 2019Updated 6 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆664Dec 28, 2025Updated 2 months ago
- Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.☆1,845Feb 11, 2024Updated 2 years ago
- API for predicting the next Bitcoin and Ethereum with machine learning and technical analysis☆103Sep 12, 2018Updated 7 years ago