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cryptocurrency trading robot
Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle
Quantitative Financial Modelling Framework
Stock analysis/prediction model using machine learning
Read flat files (csv, tsv, fwf) into R
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
a wealth advisor
wealthbot
Automate the process of providing stock trading recommendations.
project aiming to build a tool to automate the process of providing your clients with stock trading recommendations.
BlackRock Hackathon Award: STRAT brings professional risk management from BlackRock to individual investors looking to diversify & learn.
MSBD6000E-FinTechProject
Market type detection with Deep Learning
Reading and matching Macroeconomic events and Forex news
Developing self learning robot
project to control trades. statistics, sentiment analysis, reinforcement learning, etc
Monitoring trades. Trading Journal, Performance measurments, Manual and automated decision making
Simple to use interfaces for basic technical analysis of stocks.
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets **(API keys included in code)**. The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are given for three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices for the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
An intelligent recommender system for stock analyzing, predicting and trading
Stock returns dashboard in React and Flask using data from IEX
Crowd-sourced stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.
NYSE stock exchange prediction
Picking stocks through various screening methods. Focus on Northern Europe.
Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.0"
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
R Package for Cross-Language Topic Modeling
R package for translating VTT subtitles
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.