def test_OptimizeParamsWithEvents(self):
"""[summary]Check optimized-params are ordered by performance
"""
createdf.connectandsave(num_data=300)
opt = ai.Optimize(eval("Candle_1h"))
optimizedparamswithevents = opt.OptimizeParamsWithEvent()
print(optimizedparamswithevents)
def test_OptimizeEma(self):
createdf.connectandsave(num_data=500)
opt = ai.Optimize(eval("Candle_1h"))
events, performance, bestperiod1, bestperiod2 = opt.OptimizeEma()
print(events)
print(f"bestperiods={bestperiod1, bestperiod2}")
self.assertEqual(performance >= 0, True)
def test_OptimizeParams(self):
"""[summary]Check optimized-params are ordered by performance
"""
createdf.connectandsave()
opt = ai.Optimize(eval("Candle_1h"))
optimizedparams = opt.OptimizeParams()
print(optimizedparams)
ks = optimizedparams.keys()
length = len(list(ks))
for i in range(length - 1):
k_1 = list(ks)[i]
k_2 = list(ks)[i + 1]
p_1 = optimizedparams[k_1]["performance"]
p_2 = optimizedparams[k_2]["performance"]
b = p_1 >= p_2
self.assertEqual(b, True)
def test_OptimizeRdi(self):
createdf.connectandsave()
opt = ai.Optimize(eval("Candle_1h"))
events, performance, bestperiod, bestBuyThread, bestSellThreadd = opt.OptimizeRsi(
)
self.assertEqual(performance >= 0, True)
def test_Optimize_Macd(self):
createdf.connectandsave()
opt = ai.Optimize(eval("Candle_1h"))
events, performance, bestMacdFastPeriod, bestMacdSlowPeriod, bestMacdSignalPeriod = opt.OptimizeMacd(
)
self.assertEqual(performance >= 0, True)
def test_Optimize_BB(self):
createdf.connectandsave()
opt = ai.Optimize(eval("Candle_1h"))
events, performance, bestperiod1, bestperiod2 = opt.OptimizeBb()
self.assertEqual(performance >= 0, True)