I mean, these kind of: Random data and interesting statistics about SP500, NQ, etc. I just know zerohedge fund (each day closer to an end of the world ) and seekingalpha. Any more suggestions? Ty!
what stuff are you looking for? you can get data from quandl and play Code: import pandas as pd import Quandl df= Quandl.get('YAHOO/INDEX_GSPC') df['pct'] = df['Adjusted Close'].pct_change() df['dt'] = df.index df['cumdiff']= df['dt'].where(df['pct']< -.02) df.cumdiff = df.cumdiff.ffill() df['tdelta'] = df.dt - df.cumdiff df['tdelta'] = df.tdelta.astype('timedelta64[D]') df.tail(750)['tdelta'].plot()
wut bro Sorry, I'm not into programming yet Other example (again from zerohedge), these kind of things are what I'm talking about: Tuesdays' results of the SP500 Do you know more pages with interesting but uncommon data about markets?
Last picture is misleading, it looks only on 2013, where we have a strong up trend and it obvious that one of the five days will give more up's than down's. On the long run it's not true.
I remember seeing a site dedicated to these, titled 'chart of the day.' I think this is the same source today... http://www.businessinsider.com/s?q=chart+of+the+day You can also find sites sourcing Thomson Reuters data based charts: e.g. http://alphanow.thomsonreuters.com/topics/datastream-charts/ On the other hand, it's fairly easy to create the type of graphs you mention (with easy to gather data sources like yahoo finance) using excel.
Fun to go back to these exercises. But, the newer excel is pretty dreadful to navigate and chart, IMO. If you're not that familiar with programming, a spreadsheet is a great way to start doing these studies.