add typehints and type: ignores

freqtrade/analyze.py

@@ -95,7 +95,7 @@ class Analyze(object):
         Return ticker interval to use
         :return: Ticker interval value to use
         """
-        return self.strategy.ticker_interval
+        return self.strategy.ticker_interval  # type: ignore
 
     def analyze_ticker(self, ticker_history: List[Dict]) -> DataFrame:
         """
@@ -195,13 +195,13 @@ class Analyze(object):
         :return True if bot should sell at current rate
         """
         current_profit = trade.calc_profit_percent(current_rate)
-        if self.strategy.stoploss is not None and current_profit < self.strategy.stoploss:
+        if self.strategy.stoploss is not None and current_profit < self.strategy.stoploss:  # type: ignore
             logger.debug('Stop loss hit.')
             return True
 
         # Check if time matches and current rate is above threshold
         time_diff = (current_time.timestamp() - trade.open_date.timestamp()) / 60
-        for duration, threshold in self.strategy.minimal_roi.items():
+        for duration, threshold in self.strategy.minimal_roi.items():  # type: ignore
             if time_diff <= duration:
                 return False
             if current_profit > threshold:

freqtrade/exchange/__init__.py

@@ -290,7 +290,7 @@ def get_ticker_history(pair: str, tick_interval: str, since_ms: Optional[int] =
         # chached data was already downloaded
         till_time_ms = min(till_time_ms, arrow.utcnow().shift(minutes=-10).timestamp * 1000)
 
-        data = []
+        data: List[Dict[Any, Any]] = []
         while not since_ms or since_ms < till_time_ms:
             data_part = _API.fetch_ohlcv(pair, timeframe=tick_interval, since=since_ms)
 

freqtrade/optimize/hyperopt.py

@@ -14,7 +14,7 @@ from argparse import Namespace
 from functools import reduce
 from math import exp
 from operator import itemgetter
-from typing import Dict, Any, Callable
+from typing import Dict, Any, Callable, Optional
 
 import numpy
 import talib.abstract as ta
@@ -60,7 +60,7 @@ class Hyperopt(Backtesting):
         self.expected_max_profit = 3.0
 
         # Configuration and data used by hyperopt
-        self.processed = None
+        self.processed: Optional[Dict[str, Any]] = None
 
         # Hyperopt Trials
         self.trials_file = os.path.join('user_data', 'hyperopt_trials.pickle')
@@ -344,7 +344,7 @@ class Hyperopt(Backtesting):
         """
         Return the space to use during Hyperopt
         """
-        spaces = {}
+        spaces: Dict = {}
         if self.has_space('buy'):
             spaces = {**spaces, **Hyperopt.indicator_space()}
         if self.has_space('roi'):
@@ -503,7 +503,7 @@ class Hyperopt(Backtesting):
         )
 
         if self.has_space('buy'):
-            self.analyze.populate_indicators = Hyperopt.populate_indicators
+            self.analyze.populate_indicators = Hyperopt.populate_indicators  # type: ignore
         self.processed = self.tickerdata_to_dataframe(data)
 
         if self.config.get('mongodb'):

freqtrade/strategy/resolver.py

@@ -101,7 +101,7 @@ class StrategyResolver(object):
         # Generate spec based on absolute path
         spec = importlib.util.spec_from_file_location('user_data.strategies', module_path)
         module = importlib.util.module_from_spec(spec)
-        spec.loader.exec_module(module)
+        spec.loader.exec_module(module)  # type: ignore
 
         valid_strategies_gen = (
             obj for name, obj in inspect.getmembers(module, inspect.isclass)