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Name: paul richardson
Type: User
Company: urt
Location: colombia
Name: paul richardson
Type: User
Company: urt
Location: colombia
Code repository for my course on the fundamentals of reinforcement learning
Framed daily closing price as time-series data and applied LSTM to forecast stock price using technical indicators and N-day return.
Scrapy, a fast high-level web crawling & scraping framework for Python.
Scrapy+Splash for JavaScript integration
A unified approach to explain the output of any machine learning model.
Deep Learning code
directional signals of portfolio stocks
Machine Learning algorithms implemented from scratch
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
Python implementation of stacked generalization classifier. Plays nice with sklearn.
Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.
A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) has been carried out for Google Stock Market prediction using Yahoo and Google finance historical data.
Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning
A small Python library with most common stock market indicators
google stock price prediction using lstm
Stock market analysis library written in Python.
A free, lightweight, blazing-fast static page to get stock quotes using the IEX API
Algorithmic Trading using Sentiment Analysis on News Articles
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Python wrapper for TA-Lib (http://ta-lib.org/).
Implementing technical indicators that are not implemented in ta-lib
An unofficial, reverse-engineered Python API for tastyworks.
Example usage of the TD Ameritrade API
Basic python client implementation of TDAmeritrade API
Technical Analysis Indicators Collection
Python functions and an associated Jupyter notebook for technical analysis of stock price data. Numpy is used for calculating technical indicators. Matplotlib and mpl_finance are used for plotting data.
Technical Indicators used in Stock Market Analysis
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.