vzs/shiny-server
Host Shiny applications over the web.
Developer Profile
vzs
Discovered public repositories for vzs in the GitHub catalog.
vzs/strategery
Public repository.
vzs/vagrant_shiny
A setup that will get the RStudio shiny server all up and running on a VM using vagrant and puppet.
vzs/SIT
Systematic Investor Toolkit
vzs/tsdb-backtester
A C/C++ framework for automated trading strategy backtests.
vzs/pybacktest
Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast
vzs/PyTradeLib
Python financial trading, research and backtesting library
vzs/quant
Quant is a python-based system for stock trading strategy backtesting
vzs/node-quadprog
Module for solving quadratic programming problems with constraints
vzs/node-finance
Module for portfolio optimization, prices and options
vzs/node-rio
Integration with Rserve, a TCP/IP server for R framework
vzs/node-conpa
Asset Allocation application
vzs/prometheus
A flask web app that analyzes your stock portfolio performance, optimizes your asset allocation, and provides performance enhancement alerts.
vzs/blotter
Transaction-oriented infrastructure for defining instruments, transactions, portfolios and accounts for trading systems and strategy simulation. Provides portfolio support for multi-asset class and multi-currency portfolios. Still in heavy development. (github mirror)
vzs/portfolio
Classes for analysing and implementing equity portfolios.
vzs/portfolioSim
Classes that serve as a framework for designing equity portfolio simulations.
vzs/backtest
The backtest package provides facilities for exploring portfolio-based conjectures about financial instruments (stocks, bonds, swaps, options, et cetera).
vzs/optionMath
A collection of option trading related utilities
vzs/ppQuanTrade
Automated quantitative trading system you can easily extend, with the collaboration of machine learning algorithms and a financial library