philipxjm / Deep-Convolution-Stock-Technical-Analysis
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
☆603Updated last year
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
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆732Updated 8 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆425Updated 3 years ago
- Use NLP to predict stock price movement associated with news☆816Updated 8 months ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆592Updated last year
- A Python Pandas implementation of technical analysis indicators☆760Updated 6 years ago
- PyTrendFollow - systematic futures trading using trend following☆394Updated 6 years ago
- Technical Indicators used in Stock Market Analysis☆461Updated 3 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆872Updated 11 months ago
- Regression, Scrapers, and Visualization☆394Updated last year
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆402Updated 5 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆727Updated 2 years ago
- Stock Market Prediction Using Unsupervised Features☆347Updated 2 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆319Updated 4 years ago
- Technical Analysis library in pandas for backtesting algotrading and quantitative analysis☆466Updated 3 years ago
- Stock Price Prediction using Machine Learning Techniques☆1,408Updated last year
- Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until…☆263Updated last year
- Using deep actor-critic model to learn best strategies in pair trading☆315Updated 7 years ago
- Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.☆1,353Updated last year
- Teaches step-by-step to analysis stock data in python.☆375Updated last year
- Python library of various financial technical indicators☆660Updated 4 years ago
- Deep Q-learning driven stock trader bot☆878Updated last year
- Mostly experiments based on "Advances in financial machine learning" book☆549Updated 4 years ago
- Using python and scikit-learn to make stock predictions☆1,830Updated 9 months ago
- An open source library for portfolio optimisation☆360Updated last year
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆462Updated 3 years ago
- Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Por…☆211Updated 5 years ago
- Technical experimentations to beat the stock market using deep learning☆472Updated 8 years ago
- A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.☆370Updated last year
- A nimble options backtesting library for Python☆1,057Updated 8 months ago