def test(self, genData):
#runs the NN in a test environment for the purpose of evaluating
#fitness for training
marketAPI = trainingMarketAPI(genData);
marketAPI.start()
startTime = time.time()
while marketAPI.end() == False:
input = marketAPI.getInputData();
output = self.runNN(input);
if output == 0:
if self.lastAction != 0:
self.lastAction = 0;
marketAPI.openPosition()
elif output == 1:
if self.lastAction != 1:
self.lastAction = 1;
marketAPI.closePosition();
elif output == 2:
self.lastAction = 2
self.results = marketAPI.getResults();
self.results["id"] = self.id;
return self.results;
def test(self):
#runs the NN in a test environment for the purpose of evaluating
#fitness for training
marketAPI = trainingMarketAPI()
marketAPI.start()
while marketAPI.end() == False:
input = marketAPI.getInputData()
output = self.runNN(input)
if output == 0:
marketAPI.openPosition()
elif output == 1:
marketAPI.closePosition()
self.results = marketAPI.getResults()
def testRun():
initMarketData()
marketAPI = trainingMarketAPI()
marketAPI.start()
counter = 0
while marketAPI.end() == False:
NNinput = marketAPI.getInputData()
for index in range(len(NNinput)):
print(str(index) + ": " + str(NNinput[index]))
random.seed(time.time())
choice = random.randint(0, 100)
if choice == 1:
marketAPI.openPosition()
elif choice == 2:
marketAPI.closePosition()
results = marketAPI.getResults()