Fix flake8 issues

Author: MDUYN

investing_algorithm_framework/__init__.py

@@ -20,8 +20,7 @@
 from investing_algorithm_framework.indicators import get_rsi, get_peaks, \
     is_uptrend, is_downtrend, is_crossover, is_crossunder, is_above, \
     is_below, has_crossed_upward, get_sma, get_up_and_downtrends, \
-    get_rsi, get_ema, get_adx, has_crossed_downward, get_willr, \
-    is_divergence
+    get_ema, get_adx, has_crossed_downward, get_willr, is_divergence
 
 __all__ = [
     "Algorithm",

investing_algorithm_framework/domain/models/backtesting/backtest_report.py

@@ -483,7 +483,9 @@ def from_dict(data):
         positions = data["positions"]
 
         if positions is not None:
-            report.positions = [Position.from_dict(position) for position in positions]
+            report.positions = [
+                Position.from_dict(position) for position in positions
+            ]
 
         trades = data["trades"]
 

investing_algorithm_framework/domain/models/trade/trade.py

@@ -252,8 +252,10 @@ def to_dict(self):
     @staticmethod
     def from_dict(data):
         return Trade(
-            buy_order_id=data["buy_order_id"] if "buy_order_id" in data else None,
-            sell_order_id=data["sell_order_id"] if "sell_order_id" in data else None,
+            buy_order_id=data["buy_order_id"] if "buy_order_id"
+            in data else None,
+            sell_order_id=data["sell_order_id"] if "sell_order_id"
+            in data else None,
             target_symbol=data["target_symbol"],
             trading_symbol=data["trading_symbol"],
             amount=data["amount"],

investing_algorithm_framework/indicators/trend.py

@@ -80,9 +80,12 @@ def is_downtrend(
     Function to check if the price data is in a downturn.
 
     Args:
-        data (Union[pd.DataFrame, pd.Series]): The input pandas DataFrame or Series.
-        fast_column (str): The key for the fast moving average (default: SMA_50).
-        slow_column (str): The key for the slow moving average (default: SMA_200).
+        data (Union[pd.DataFrame, pd.Series]): The input pandas
+            DataFrame or Series.
+        fast_column (str): The key for the fast moving
+            average (default: SMA_50).
+        slow_column (str): The key for the slow moving
+            average (default: SMA_200).
 
     Returns:
         bool: Boolean indicating if the price data is in a downturn.

investing_algorithm_framework/indicators/utils.py

@@ -554,6 +554,7 @@ def get_values_above_threshold(
     # Return the filtered values as a list
     return above_threshold.tolist()
 
+
 def get_values_below_threshold(
     df, column, threshold, number_of_data_points
 ) -> int: