""" if second_time:
#print "at second time"
api_source.take_in_array(row, keys)
random_test_agent.updateValues(api_source.get_dict(), api_source.return_last_prices())
second_time = False
continue
if counter < 40:
# we wait 40 so that macd is valid to compute
api_source.take_in_array(row, keys)
continue """
print "*"
api_source.take_in_array(row, keys)
random_test_agent.updateValues(api_source.get_dict(),
api_source.return_last_prices())
random_test_agent.act()
print(str(random_test_agent.sellNum), str(random_test_agent.buyNum),
str(random_test_agent.holdNum))
random_val = random_test_agent.getNetWorth()
base_case = random_test_agent.get_comparison()
#print "the random agent makes"
print random_val
#print "an agent that did nothing would make below"
print base_case
#print "this is the amount we did better"
# make sure battery settings are good
waittime = 0
print "starting the waittime - make sure battery is fine"
time.sleep(waittime * 60)
print "finished the waittime"
# takes about 3.877 seconds for this to be called first
api_source = APICaller()
api_source.update_values()
time.sleep(8)
# this is where our agent gets feed the first information
first_dict = api_source.get_dict()
keys = []
for key in first_dict:
keys.append(key)
minutes_to_run = 5 * 60 # number of minutes until it stops
remember_rows = [] # list of lists, to put in csv
remember_rows.append(keys)
print keys
counter = 0
print "just starting the counter"
print "PLEASE DOUBLE CHECK THAT YOU CHANGED THE FILENAME TO SAVE, and that battery life is fine"
print "IF YOU FORGOT, CANCEL IMMEDIATELY"
file_name = 'retrievingData/fifth_data.csv'
values_to_save = [["Approx net worth", "Base case net worth", "Difference"]]
counter = 0
for row in csv_f:
counter += 1
if first_time:
#print "at first time"
keys = row
first_time = False
continue
if second_time:
#print "at second time"
api_source.take_in_array(row, keys)
regression_agent.updateValues(api_source.get_dict(), api_source.return_last_prices())
second_time = False
continue
if counter < 40:
# we wait 40 so that macd is valid to compute
api_source.take_in_array(row, keys)
continue
print "*"
api_source.take_in_array(row, keys)
regression_agent.updateValues(api_source.get_dict(), api_source.return_last_prices())
regression_agent.act()
values_to_save = [["qLearning net worth", "Base case net worth", "Difference"]]
counter = 0
for row in csv_f:
counter += 1
if first_time:
#print "at first time"
keys = row
first_time = False
continue
if second_time:
#print "at second time"
api_source.take_in_array(row, keys)
qLearning_test_agent.updateValues(api_source.get_dict(), api_source.return_last_prices())
second_time = False
continue
if counter < 40:
# we wait 40 so that we have a valid last10 to compute sma, as well as to be consistent
# with other agent tests
api_source.take_in_array(row, keys)
continue
print "*"
api_source.take_in_array(row, keys)
qLearning_test_agent.updateValues(api_source.get_dict(), api_source.return_last_prices())