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Programming. Zero startup cost and everything is free

not bloomberg but try https://www.highcharts.com/demo/dark-unica https://openfin.co/

for programming purposes I think linux (without a window manager) is a lot easier. If you're planning on using it as a desktop then ms windows hands down

Link?

do you have a git or bitbucket repo?

there is nothing to run. its a library. gradle build or gradle jar. then use it in your application

issue with hdf5 was size, threading, corrupted files. the team moved from hdf5 to kdb. as someone mentioned columnar database vs row; find a free or cheap column db and just load into it. forget all these individual files

people tend to go from hdf5 to bcolz (if not kdb). is your data ticks/events or is it already normalized somehow? if its events, might want to look at queues(ie. kafka) for base storage then something else when analyzing.

given your requirement bcolz works. I used it previously due to memory limits with pandas.

sell puts

take another guess

buy 'em

regrets? for those who want things programmed you should ask on a mailing list or stackoverflow how to do this or that. I wouldn't be surprised that you could get everything needed. In your eyes the program is complex but more than likely it's trivial. The cost is that people cannot explain what...

What do you eat in a day? Cut it in half

the put is less than intrinsic value

import xarray as xr import pandas as pd df=pd.read_csv('http://www.deltaneutral.com/files/Sample_SPX_20151001_to_20151030.csv') sdf=df[ (df.type=='call') & (df.expiration=='10/16/2015') & (df.quotedate == '10/01/2015') &(df.underlying=='SPX')] sxdf=xr.Dataset.from_dataframe(sdf)...

this will get the type and exp optionsDF[ (optionsDF.type == 'CALL') & (optionsDF.EXP == '20170907') ] closest delta you might need to use interp or take a look at http://xarray.pydata.org/en/stable/ it has nearest functions and N-dimensional functionality that would probably work well with options

wont get past the first guard

Been available for almost 20years http://www.cmegroup.com/trading/weather/?redirect=/weather

disagree. work smarter not harder.