peterfabakker Goto Github PK
Name: Peter Bakker
Type: User
Name: Peter Bakker
Type: User
Generate various Alternative Bars both historically and at real-time.
Creating DRL infrastructure for Dynamic Beta with Zipline and Keras
Implementation of OpenAI paper with Simple Noise Scale on Fastai
A financial model to forecast next day SPY closing prices
IBTrader is live trading agent for Interactive Brokers
Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.
All written by myself using Quantopian IDE. Contains a notebook which tests factors for their correlation with stock prices over time. Also contains the actual algorithm, where some of the successful factors were brought over into. Finally, it contains a notebook with a single cell. Running the cell will give results of a back test of the algorithm from 01-01-14 to 01-01-15.
trading bot running on binance isolated margin
Pipeline Extension for Live Trading
Complete Python interface to IEX and IEX cloud APIs
A library for hierarchical risk-based portfolios which allows users to create full-investment, long-only portfolios using techniques and strategies as outlined in "Hierarchical risk parity: Accounting for tail dependencies in multi-asset multi-factor allocations" by Harald Lohre et al.
A walk through the frameworks of Python in Finance. The repository is currently in the development phase. The finalized version will include a full-fledged integration and utilization of Quantopian, GS-Quant, WRDS API and their relevant datasets and analytics.
Back up of quantopian notebooks
algorithms for quantopian
Jupyter Notebooks from quantopian
Repo to hold Quantopian trading algorithms using python and Quantopian
My Dissertation Algos
Command line interface and Python client for QuantRocket
Predict the next Bitcoin and Ethereum market trends with machine learning and technical 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.