http://pandas.pydata.org/
import pandas as pd
from pandas.io.data import DataReader
symbols = ['FCX','XLE','XME']
data = dict((sym, DataReader(sym, "google")) for sym in symbols)
I have a webpage for monitoring as well. I used websockets, python, javascript, and rabbitmq.
backbonejs.org/
handlebarsjs.com/
underscorejs.org/
jquery.com/
www.tornadoweb.org/
www.rabbitmq.com/
http://bit.ly/rUGFwD
scholar.google.com
here's one to test. watch oil, gold, es, and ten year note. when 3 of them turn jump buy or sell the last one expecting it to follow(for 10yr do the opposite).
not sure if it works but eyeballing it it seems good.
anyone interested in option sheets. basically, so you know what an option is worth at various prices levels.
for example crude nov calls would be something like this...
headers=strikes
rows=underlying prices
http://bit.ly/QNjouY
people used to manually do it using TT. maybe still do. Its just taking what non electronic traders have done for centuries and applying it to computers.
You see a large bid, you buy the offer knowing that you can always get out at the bid if needed. Of course, its not guaranteed.
you used to be able to see last trade size and compare it to what was shown in the dom. so if the bid was 89.29 for 5 and you saw 14@89.29 trade and still 89.29 for 5 theres probably an order there. Of course, this is all automated now