Title: Enhanced Quantitative Trading Modelling
Description: Download and organize historical market data from multiple sources like Yahoo (<http://finance.yahoo.com>), Google (<https://www.google.com/finance>), Finam (<http://www.finam.ru/profile/moex-akcii/sberbank/export/>) and IQFeed (<http://www.iqfeed.net/symbolguide/index.cfm?symbolguide=lookup>). Code your trading algorithms in modern C++11 with powerful event driven tick processing API including trading costs and exchange communication latency and transform detailed data seamlessly into R. In just few lines of code you will be able to visualize every step of your trading model from tick data to multi dimensional heat maps.
Imports: methods, fasttime, RCurl, Rcpp (>= 0.12.6)
Packaged: 2016-10-13 18:56:15 UTC; stanislas

Description: Download and organize historical market data from multiple sources
like Yahoo (<https://finance.yahoo.com>), Google (<https://www.google.com/
Code your trading algorithms in modern C++11 with powerful event driven tick
processing API including trading costs and exchange communication latency and
transform detailed data seamlessly into R. In just few lines of code you will
be able to visualize every step of your trading model from tick data to multi
Packaged: 2016-11-13 20:43:21 UTC; stanislas

Description: Download and organize historical market data from multiple sources like Yahoo (<https://finance.yahoo.com>), Google (<https://www.google.com/finance>), Finam (<https://www.finam.ru/profile/moex-akcii/sberbank/export/>), MOEX (<https://www.moex.com/en/derivatives/contracts.aspx>) and IQFeed (<https://www.iqfeed.net/symbolguide/index.cfm?symbolguide=lookup>). Code your trading algorithms in modern C++11 with powerful event driven tick processing API including trading costs and exchange communication latency and transform detailed data seamlessly into R. In just few lines of code you will be able to visualize every step of your trading model from tick data to multi dimensional heat maps.
Imports: methods, fasttime, RCurl, readxl, Rcpp (>= 0.12.6)
Packaged: 2016-12-08 12:04:16 UTC; Stanislav