Inspired by Goomboo's heatmap of profits, I wrote a Python script to automatically draw similar heatmaps for custom time periods. It works on Linux as this is the only OS I use. Anybody is free to adapt it to work on other systems (sorry, I have neither experience nor wish to do this).
Here's an example of what is drawn:
The script itself may be found on Github: https://github.com/Queeq/stock
I would also be happy to get advice from experienced Python programmers on how to make it better.
If somebody is interested in particular period but is too lazy/busy/inexperienced to draw graphs himself, I can do that for him and post it here. Required parameters are: time period with maximum resolution of one day, size of ticks to work on (5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours),
Currently I used it only with BTC-e historical data taken from Bitcoincharts, but it would work with every CSV-formatted historical datafile.
that heatmap looks good Queeq,Here's an example of what is drawn:
The script itself may be found on Github: https://github.com/Queeq/stock
I would also be happy to get advice from experienced Python programmers on how to make it better.
If somebody is interested in particular period but is too lazy/busy/inexperienced to draw graphs himself, I can do that for him and post it here. Required parameters are: time period with maximum resolution of one day, size of ticks to work on (5 minutes, 15 minutes, 30 minutes, 1 hour, 2 hours),
Currently I used it only with BTC-e historical data taken from Bitcoincharts, but it would work with every CSV-formatted historical datafile.
- what did you use as measurement unit?
(EDIT: nvm i see now that you used the ema's)
- what does the exp version show?
(i'm guessing exp=Exponential Moving Average and simple= Simple Moving Average)
also, i didn't know bitcoincharts.com had the historical data in CSV format (thanks for that)