add eurusd
heavy data munging refactoring ongoing - broken commit
fix bug in timestamping. munge training data from portfolio.
use merge of channel timestamps to create unique timeline
simplify sampling from portfolio method
display proper images with target profit triplets
vectorize sigmoid apply, clean up a bit.
use better property names for portfolio datasets
make eat function generic enough to build either training, testing or validation sets
add test datasets
generate individual images
add wrapper to build training, test and val sets
add convnet files
add full image generation
add R code
add R data checker
add R munging
Merge branch 'master' of https://github.com/crossgradient/lehedge
add tick data downloadr and headr
add dukascopy downloadr
perf improvements
perf tweak an decoupling
great perf improvement (13 min down from 5h for YTD tick data processing)