Automated formatting changes

Author: github-actions[bot]

finquant/momentum_indicators.py

@@ -38,7 +38,7 @@ def relative_strength_index(
     # validating levels
     if oversold >= overbought:
         raise ValueError("oversold level should be < overbought level")
-    if not (0 < oversold < 100) or not(0 < overbought < 100):
+    if not (0 < oversold < 100) or not (0 < overbought < 100):
         raise ValueError("levels should be > 0 and < 100")
     # converting data to pd.DataFrame if it is a pd.Series (for subsequent function calls):
     if isinstance(data, pd.Series):
@@ -56,12 +56,21 @@ def relative_strength_index(
     data["avg_gain"] = data["gain"].rolling(window=wl, min_periods=wl).mean()
     data["avg_loss"] = data["loss"].rolling(window=wl, min_periods=wl).mean()
     # calculate WMS (wilder smoothing method) averages
-    lambda_wsm = lambda avg_gain_loss, gain_loss, window_length: (avg_gain_loss * (window_length - 1) + gain_loss) / window_length
+    lambda_wsm = (
+        lambda avg_gain_loss, gain_loss, window_length: (
+            avg_gain_loss * (window_length - 1) + gain_loss
+        )
+        / window_length
+    )
     # ignore SettingWithCopyWarning for the below operation
-    with pd.option_context('mode.chained_assignment', None):
+    with pd.option_context("mode.chained_assignment", None):
         for gain_or_loss in ["gain", "loss"]:
-            for i, row in enumerate(data[f"avg_{gain_or_loss}"].iloc[wl + 1:]):
-                data[f"avg_{gain_or_loss}"].iloc[i + wl + 1] = lambda_wsm(data[f"avg_{gain_or_loss}"].iloc[i + wl], data[gain_or_loss].iloc[i + wl + 1], wl)
+            for i, row in enumerate(data[f"avg_{gain_or_loss}"].iloc[wl + 1 :]):
+                data[f"avg_{gain_or_loss}"].iloc[i + wl + 1] = lambda_wsm(
+                    data[f"avg_{gain_or_loss}"].iloc[i + wl],
+                    data[gain_or_loss].iloc[i + wl + 1],
+                    wl,
+                )
     # calculate RS values
     data["rs"] = data["avg_gain"] / data["avg_loss"]
     # calculate RSI