pandas-montecarlo

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mc = df['return'].montecarlo(sims=100, bust=0.1, goal=1) here, sims, bust and goal are all the parameters ?

ThiagoZarur

I am afraid this is wrong completely

1

How does it do an approxiation? read wikipedia about it, MC simulation has to generate approximation points randomly. However you produce just random numbers, Am I wrong?

nesazeri

Hi the readme example fails with: ``` ImportError Traceback (most recent call last) in () 1 #from pandas.api.types import is_list_like ----> 2 from pandas_datareader import data 3 4 df =...

robmarkcole

Total cumsum

1

Hi. As I see it "total = cumsum[-1:].T" always has the same value for all simulations (because all of them end in the same point). Which messes stats based on...

Iyamoto

Hi, How can I use this package to do a Monte Carlo simulation for a demand model with two errors? THX !

pgon101