From 76ae539e619f1b8100f6392abcdb8edd5dafa4cb Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Fri, 28 Apr 2023 14:55:17 +0200
Subject: [PATCH] Minor edit

---
 docs/advanced-backtesting.md        |  1 +
 freqtrade/data/entryexitanalysis.py | 11 +++++------
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/docs/advanced-backtesting.md b/docs/advanced-backtesting.md
index 4c81fd5ff..b587c4157 100644
--- a/docs/advanced-backtesting.md
+++ b/docs/advanced-backtesting.md
@@ -141,6 +141,7 @@ freqtrade backtesting-analysis -c <config.json> --analysis-to-csv --rejected-sig
 ```
 
 This will write to `user_data/backtest_results`:
+
 * rejected_signals.csv
 * group_0.csv
 * group_1.csv
diff --git a/freqtrade/data/entryexitanalysis.py b/freqtrade/data/entryexitanalysis.py
index 2c198c1d4..f7344447d 100644
--- a/freqtrade/data/entryexitanalysis.py
+++ b/freqtrade/data/entryexitanalysis.py
@@ -1,5 +1,6 @@
 import logging
 from pathlib import Path
+from typing import Optional
 
 import joblib
 import pandas as pd
@@ -52,9 +53,7 @@ def _process_candles_and_indicators(pairlist, strategy_name, trades, signal_cand
         for pair in pairlist:
             if pair in signal_candles[strategy_name]:
                 analysed_trades_dict[strategy_name][pair] = _analyze_candles_and_indicators(
-                                                            pair,
-                                                            trades,
-                                                            signal_candles[strategy_name][pair])
+                    pair, trades, signal_candles[strategy_name][pair])
     except Exception as e:
         print(f"Cannot process entry/exit reasons for {strategy_name}: ", e)
 
@@ -214,8 +213,8 @@ def prepare_results(analysed_trades, stratname,
     return res_df
 
 
-def print_results(res_df, analysis_groups, indicator_list,
-                  rejected_signals=None, to_csv=False, csv_path=None):
+def print_results(res_df: pd.DataFrame, analysis_groups, indicator_list,
+                  rejected_signals=None, to_csv=False, csv_path: Optional[Path] = None):
     if res_df.shape[0] > 0:
         if analysis_groups:
             _do_group_table_output(res_df, analysis_groups, to_csv=to_csv, csv_path=csv_path)
@@ -246,7 +245,7 @@ def print_results(res_df, analysis_groups, indicator_list,
         print("\\No trades to show")
 
 
-def _print_table(df, sortcols=None, show_index=False, name=None, to_csv=False, csv_path=None):
+def _print_table(df: pd.DataFrame, sortcols=None, show_index=False, name=None, to_csv=False, csv_path=None):
     if (sortcols is not None):
         data = df.sort_values(sortcols)
     else: