diff --git a/freqtrade/freqai/data_kitchen.py b/freqtrade/freqai/data_kitchen.py
index 56d09ca61..4c30ce690 100644
--- a/freqtrade/freqai/data_kitchen.py
+++ b/freqtrade/freqai/data_kitchen.py
@@ -255,7 +255,7 @@ class FreqaiDataKitchen:
             if (1 - len(filtered_df) / len(unfiltered_df)) > 0.1 and self.live:
                 worst_indicator = str(unfiltered_df.count().idxmin())
                 logger.warning(
-                    f" {(1 - len(filtered_df)/len(unfiltered_df)) * 100:.0f} percent "
+                    f" {(1 - len(filtered_df) / len(unfiltered_df)) * 100:.0f} percent "
                     " of training data dropped due to NaNs, model may perform inconsistent "
                     f"with expectations. Verify {worst_indicator}"
                 )
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index 917b6ec0e..e2fbe1529 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -1346,7 +1346,7 @@ class Telegram(RPCHandler):
         output = "<b>Performance:</b>\n"
         for i, trade in enumerate(trades):
             stat_line = (
-                f"{i+1}.\t <code>{trade['pair']}\t"
+                f"{i + 1}.\t <code>{trade['pair']}\t"
                 f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
                 f"({trade['profit_ratio']:.2%}) "
                 f"({trade['count']})</code>\n")
@@ -1378,7 +1378,7 @@ class Telegram(RPCHandler):
         output = "<b>Entry Tag Performance:</b>\n"
         for i, trade in enumerate(trades):
             stat_line = (
-                f"{i+1}.\t <code>{trade['enter_tag']}\t"
+                f"{i + 1}.\t <code>{trade['enter_tag']}\t"
                 f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
                 f"({trade['profit_ratio']:.2%}) "
                 f"({trade['count']})</code>\n")
@@ -1410,7 +1410,7 @@ class Telegram(RPCHandler):
         output = "<b>Exit Reason Performance:</b>\n"
         for i, trade in enumerate(trades):
             stat_line = (
-                f"{i+1}.\t <code>{trade['exit_reason']}\t"
+                f"{i + 1}.\t <code>{trade['exit_reason']}\t"
                 f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
                 f"({trade['profit_ratio']:.2%}) "
                 f"({trade['count']})</code>\n")
@@ -1442,7 +1442,7 @@ class Telegram(RPCHandler):
         output = "<b>Mix Tag Performance:</b>\n"
         for i, trade in enumerate(trades):
             stat_line = (
-                f"{i+1}.\t <code>{trade['mix_tag']}\t"
+                f"{i + 1}.\t <code>{trade['mix_tag']}\t"
                 f"{fmt_coin(trade['profit_abs'], self._config['stake_currency'])} "
                 f"({trade['profit_ratio']:.2%}) "
                 f"({trade['count']})</code>\n")
diff --git a/tests/conftest.py b/tests/conftest.py
index 8534cc34d..5d590b0e2 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -118,7 +118,10 @@ def generate_trades_history(n_rows, start_date: Optional[datetime] = None, days=
     random_timestamps_in_seconds = np.random.uniform(_start_timestamp, _end_timestamp, n_rows)
     timestamp = pd.to_datetime(random_timestamps_in_seconds, unit='s')
 
-    id = [f'a{np.random.randint(1e6, 1e7-1)}cd{np.random.randint(100, 999)}' for _ in range(n_rows)]
+    id = [
+        f'a{np.random.randint(1e6, 1e7 - 1)}cd{np.random.randint(100, 999)}'
+        for _ in range(n_rows)
+    ]
 
     side = np.random.choice(['buy', 'sell'], n_rows)