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get_signal: remove redundant parentheses

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This commit is contained in:
gcarq 2018-03-17 22:22:35 +01:00
parent ed71340a90
commit 5532cedcdd
1 changed files with 8 additions and 10 deletions
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18
freqtrade/analyze.py
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@ -3,7 +3,7 @@ Functions to analyze ticker data with indicators and produce buy and sell signal
"""
from datetime import datetime, timedelta
from enum import Enum
from typing import Dict, List
from typing import Dict, List, Tuple
import arrow
from pandas import DataFrame, to_datetime
from freqtrade.exchange import get_ticker_history
@ -96,9 +96,7 @@ class Analyze(object):
dataframe = self.populate_sell_trend(dataframe)
return dataframe
# FIX: Maybe return False, if an error has occured,
# Otherwise we might mask an error as an non-signal-scenario
def get_signal(self, pair: str, interval: int) -> (bool, bool):
def get_signal(self, pair: str, interval: int) -> Tuple[bool, bool]:
"""
Calculates current signal based several technical analysis indicators
:param pair: pair in format BTC_ANT or BTC-ANT
@ -108,7 +106,7 @@ class Analyze(object):
ticker_hist = get_ticker_history(pair, interval)
if not ticker_hist:
self.logger.warning('Empty ticker history for pair %s', pair)
return (False, False) # return False ?
return False, False
try:
dataframe = self.analyze_ticker(ticker_hist)
@ -118,18 +116,18 @@ class Analyze(object):
pair,
str(error)
)
return (False, False) # return False ?
return False, False
except Exception as error:
self.logger.exception(
'Unexpected error when analyzing ticker for pair %s: %s',
pair,
str(error)
)
return (False, False) # return False ?
return False, False
if dataframe.empty:
self.logger.warning('Empty dataframe for pair %s', pair)
return (False, False) # return False ?
return False, False
latest = dataframe.iloc[-1]
@ -141,7 +139,7 @@ class Analyze(object):
pair,
(arrow.utcnow() - signal_date).seconds // 60
)
return (False, False) # return False ?
return False, False
(buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1
self.logger.debug(
@ -151,7 +149,7 @@ class Analyze(object):
str(buy),
str(sell)
)
return (buy, sell)
return buy, sell
def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool, sell: bool) -> bool:
"""