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.
☆615Updated 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:
- Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.☆409Updated 5 years ago
- Regression, Scrapers, and Visualization☆396Updated 2 years ago
- Introducing neural networks to predict stock prices☆759Updated 5 years ago
- Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]☆737Updated 3 years ago
- Use deep learning, genetic programming and other methods to predict stock and market movements☆428Updated 3 years ago
- Technical Indicators used in Stock Market Analysis☆467Updated 3 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆556Updated 4 years ago
- High Frequency Trading Price Prediction using LSTM Recursive Neural Networks☆762Updated 9 years ago
- Stock analysis/prediction model using machine learning☆188Updated 7 years ago
- A Python Pandas implementation of technical analysis indicators☆769Updated 7 years ago
- Developing Options Trading Strategies using Technical Indicators and Quantitative Methods☆901Updated last year
- OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network☆599Updated 2 years ago
- Use NLP to predict stock price movement associated with news☆844Updated 11 months ago
- A LSTM model using Risk Estimation loss function for stock trades in market☆322Updated 4 years ago
- Python library of various financial technical indicators☆661Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆357Updated 2 years ago
- Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast☆815Updated 3 years ago
- A stock trading bot that uses machine learning to make price predictions.☆645Updated 3 years ago
- Teaches step-by-step to analysis stock data in python.☆414Updated last year
- Deep Q-learning driven stock trader bot☆886Updated last year
- PyTrendFollow - systematic futures trading using trend following☆414Updated 7 years ago
- Quantitative Finance and Algorithmic Trading☆365Updated 9 years ago
- Support and Resistance Trend lines Calculator for Financial Analysis☆671Updated 4 years ago
- A small Python library with most common stock market indicators☆227Updated 6 years ago
- Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting☆606Updated 2 months ago
- An open source library for portfolio optimisation☆360Updated last year
- Technical Analysis library in pandas for backtesting algotrading and quantitative analysis☆473Updated 3 years ago
- A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fi…☆238Updated last year
- Quantitative finance research tools in Python☆428Updated 2 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…☆280Updated 3 years ago