philipxjm / Deep-Convolution-Stock-Technical-AnalysisLinks
Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.
☆614Updated 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:
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆775Updated 9 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆742Updated 3 years ago
- Technical Indicators used in Stock Market Analysis☆469Updated 3 years ago
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆414Updated 5 years ago
- Stock analysis/prediction model using machine learning☆189Updated 7 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆430Updated 4 years ago
- Introducing neural networks to predict stock prices☆762Updated 6 years ago
- Regression, Scrapers, and Visualization☆396Updated 2 years ago
- Python library of various financial technical indicators☆662Updated 4 years ago
- A Python Pandas implementation of technical analysis indicators☆775Updated 7 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆920Updated last year
- Mostly experiments based on "Advances in financial machine learning" book☆556Updated 4 years ago
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆609Updated 2 years ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆320Updated 5 years ago
- Use NLP to predict stock price movement associated with news☆852Updated last year
- Support and Resistance Trend lines Calculator for Financial Analysis☆681Updated 4 years ago
- Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast☆817Updated 3 years ago
- A small Python library with most common stock market indicators☆227Updated 6 years ago
- Deep Q-learning driven stock trader bot☆892Updated last year
- PyTrendFollow - systematic futures trading using trend following☆422Updated 7 years ago
- Stock Market Prediction Using Unsupervised Features☆362Updated 2 years ago
- Technical Indicators implemented in Python using Pandas☆478Updated 5 years ago
- Technical Analysis library in pandas for backtesting algotrading and quantitative analysis☆481Updated 3 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆626Updated 4 months ago
- Python live trade execution library with zipline interface.☆672Updated 2 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆495Updated 4 years ago
- Quantitative Finance and Algorithmic Trading☆378Updated 10 years ago
- Advances in Financial Machine Learning☆790Updated 2 years ago
- A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.☆380Updated last year
- A stock trading bot that uses machine learning to make price predictions.☆650Updated 3 years ago