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Type: User
Location: London
Type: User
Location: London
Performance analysis of predictive (alpha) stock factors
In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.
Analytics for Additional Tier 1 Securities in Europe
Python Bloomberg API and Pandas Wrapper
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges
Scripts to model various derivative instruments. Adaptations from QuantLib and Yves Hilpisch books
Build Docker and Swarm on an ARM SoC like the Raspberry Pi
Influxdb image for Raspberry Pi Zero (ARM32v6)
Environmental monitoring (with Raspberry Pi sensors) and InfluxDB/Grafana
Creates a .csv file of all players in the English Player League with their respective team and total fantasy points
Computational tools for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
🚀✨ Help beginners contribute to open source projects
Uses Quandl data for weekly CFTC commitment of traders report.
High Yield Bond Pricer
Listed Volatility and Variance Derivatives (Wiley Finance)
A smart time-lapse driver for Raspberry Pi using raspistill now with Dropbox functionality
Universal remote controls for robots with streaming video and VR HMD support.
Python Crypto Bot
Portfolio and risk analytics in Python
Quantitative research and educational materials
Riskfolio-Lib is a library for making quantitative strategic asset allocation or portfolio optimization in Python.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Toolkit for integration and 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.