2018-01-10-article3

for p in test_periods:

    # Print our progress
    print('Running test period ' + str(p));
    
    # Create the condition
    condition = 'price change percentage(1) < ' + str(p)

    # Form the request
    request_data = {'symbol':symbol,'condition_id':1,'condition':condition,"periods":periods,'from':usingdatafrom,'to':usingdatato}

    # Send the request
    analytic = requests.post('https://api.gatsiva.com/api/v1/conditions/return_profile',json=request_data,headers=my_headers)

    # Pull out the results and format it into a pandas data frame
    results = analytic.json()['results']
    df = pd.read_json(json.dumps(results), orient='records')

    # Add the mean and number of observations to our list
    data_run_list.append(df['mean'])   
    obs_num_list.append(results[0]['n'])