import quantpy as qp

from numpy import *

# Create your own truth function describing your even.

# In this case the event is: whenever the price chanegs $1.

def truth_function(asset):

truth = zeros(len(asset))

for i in range(1,len(asset)):

if asset[i] - asset[i-1] > 1.0:

truth[i] = 1

return truth

# Grab a profile

P = qp.Portfolio(['GOOG','IBM','INTC'])

# Define your asset you want to test.

asset = P.asset['IBM']['Adj Close']

# Generate your truth function.

truth = truth_function(asset)

# Get profiles for these events

profiles = qp.event_profiler(asset,truth)

# Plot them

qp.plot_event_profile(profiles,name='When price increases $1.')