def test_Extractor():
#TEST CLASS EXTRACTOR - OHLC METHOD
obj = TSC()
val = obj.convert(4, 9, 2014, 1, 0)
obj = PM()
dic = obj.ret_diz()
dic_rev = obj.ret_rev_diz()
list_of_types_candles = [dic['1-m'], dic['3-m']]
per = obj.make(list_of_types_candles)
ext = EXTR()
x = ext.ohlc("coinbase-pro", "btcusd", after=val, periods=per)
if (type(x) == int and x == -1):
print("Bad Request \n")
elif (type(x) == int and x == -2):
print("You have finished your CPU allowance, retry next hour \n")
elif (type(x) == int and x == -3):
print("Unexpected Error, retry please \n")
else:
candles_types_returned = list(x['result'].keys())
print("Candles Types Returned: ({}, {}) ".format(
dic_rev[candles_types_returned[1]],
dic_rev[candles_types_returned[0]]))
candle_1_minute = x['result'][dic['1-m']]
candle_3_minutes = x['result'][dic['3-m']]
print("Size 1-Minute Candle: ({}, {})".format(len(candle_1_minute),
len(candle_1_minute[0])))
print("Size 3-Minutes Candle: ({}, {})".format(
len(candle_3_minutes), len(candle_3_minutes[0])))
print("Example 1-Minute Candle: {} ".format(candle_1_minute[0]))
print("Example 3-Minutes Candle: {} ".format(candle_3_minutes[0]))
def __init__(self, exchange, pair):
self.exchange = exchange
self.pair = pair
self.jsav = JSave()
self.periodMaker = PM()
self.dataMaker = DM(exchange, pair)
def test_Dataset_Maker():
#TEST CLASS DATASET_MAKER - LOAD_JSON AND PRINT_CONTAINER
exchange = "bitstamp"
pair = "btcusd"
per_mak = PM()
periods_list = per_mak.ret_diz()
period = periods_list["12-h"]
dataMaker = DataMak(exchange, pair)
dataset = dataMaker.load_json_candlestick(period)
dataMaker.print_data(dataset)
dataMaker.save_on_file(dataset)
def test_Period_Maker():
#TEST CLASS PERIODS_MAKER
obj = PM()
dic = obj.ret_diz()
dic_rev = obj.ret_rev_diz()
obj.print_candles_types()
list_of_types_candles = [dic['1-m'], dic['3-m']]
print(list_of_types_candles) #EXPECTED ['60','180']
periods = obj.make(list_of_types_candles)
if (periods == -1):
print("Error, you have inserted an/some Unknown Candle/es Type/es \n")
exit()
print("\n")
return periods, dic, dic_rev
def print_data(self, dataset):
candles = dataset[1]
close_matrix = dataset[0]
per_mak = PM()
periods_list = per_mak.ret_rev_diz()
output_period = periods_list[self.period]
tsc = TSC()
for i in range(len(candles)):
print("{}\t".format(tsc.get_date(candles[i][0])), end="")
print("${}\t\t".format(int(close_matrix[i])), end="")
print("BTC {}".format(round(candles[i][4], 2)))
print("\n" + self.exchange.title() + " - " + self.pair.upper())
print("Candles Stick Period:", output_period)
print("Total Candles:", len(dataset[0]))
def open_feature_scaling_max(self):
periodMaker = PM()
periods_list = periodMaker.ret_diz()
self.period = periods_list[self.period]
filepath = "./lib/{}_feature_scaling_max.plk".format(self.period)
with open(filepath, "rb") as inp:
fs_max = pickle.load(inp)
closePrice = fs_max.get("closePrice")
closeTime = fs_max.get("closeTime")
openPrice = fs_max.get("openPrice")
highPrice = fs_max.get("highPrice")
lowPrice = fs_max.get("lowPrice")
volume = fs_max.get("volume")
return closePrice, closeTime, openPrice, highPrice, lowPrice, volume
def __init__(self, exchange, pair, period):
self.exchange = exchange
self.pair = pair
self.period = period
self.periodMaker = PM()