diff --git a/docs/backtesting.md b/docs/backtesting.md
index 01624e5c2..42de9bdc3 100644
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@@ -165,10 +165,13 @@ A backtesting result will look like that:
 | Max open trades       | 3                   |
 |                       |                     |
 | Total trades          | 429                 |
-| Best Pair             | LSK/BTC - 26.26%    |
-| Worst Pair            | ZEC/BTC - -10.18%   |
 | Total Profit %        | 152.41%             |
 | Trades per day        | 3.575               |
+|                       |                     |
+| Best Pair             | LSK/BTC - 26.26%    |
+| Worst Pair            | ZEC/BTC - -10.18%   |
+| Best Trade            | LSK/BTC - 4.25%     |
+| Worst Trade           | ZEC/BTC - -10.25%   |
 | Best day              | 25.27%              |
 | Worst day             | -30.67%             |
 | Avg. Duration Winners | 4:23:00             |
@@ -238,10 +241,13 @@ It contains some useful key metrics about performance of your strategy on backte
 | Max open trades       | 3                   |
 |                       |                     |
 | Total trades          | 429                 |
-| Best Pair             | LSK/BTC - 26.26%    |
-| Worst Pair            | ZEC/BTC - -10.18%   |
 | Total Profit %        | 152.41%             |
 | Trades per day        | 3.575               |
+|                       |                     |
+| Best Pair             | LSK/BTC - 26.26%    |
+| Worst Pair            | ZEC/BTC - -10.18%   |
+| Best Trade            | LSK/BTC - 4.25%     |
+| Worst Trade           | ZEC/BTC - -10.25%   |
 | Best day              | 25.27%              |
 | Worst day             | -30.67%             |
 | Avg. Duration Winners | 4:23:00             |
@@ -258,10 +264,10 @@ It contains some useful key metrics about performance of your strategy on backte
 - `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option).
 - `Max open trades`: Setting of `max_open_trades` (or `--max-open-trades`) - to clearly see settings for this.
 - `Total trades`: Identical to the total trades of the backtest output table.
-- `Best Pair`: Which pair performed best, and it's corresponding `Cum Profit %`.
-- `Worst pair`: Which pair performed worst and it's corresponding `Cum Profit %`.
 - `Total Profit %`: Total profit per stake amount. Aligned to the TOTAL column of the first table.
 - `Trades per day`: Total trades divided by the backtesting duration in days (this will give you information about how many trades to expect from the strategy).
+- `Best Pair` / `Worst Pair`: Best and worst performing pair, and it's corresponding `Cum Profit %`.
+- `Best Trade` / `Worst Trade`: Biggest winning trade and biggest losing trade
 - `Best day` / `Worst day`: Best and worst day based on daily profit.
 - `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades.
 - `Max Drawdown`: Maximum drawdown experienced. For example, the value of 50% means that from highest to subsequent lowest point, a 50% drop was experienced).
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 589e0ba1c..3e44a6067 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -400,6 +400,8 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str:
 
 def text_table_add_metrics(strat_results: Dict) -> str:
     if len(strat_results['trades']) > 0:
+        best_trade = max(strat_results['trades'], key=lambda x: x['profit_percent'])
+        worst_trade = min(strat_results['trades'], key=lambda x: x['profit_percent'])
         metrics = [
             ('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)),
             ('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)),
@@ -413,6 +415,9 @@ def text_table_add_metrics(strat_results: Dict) -> str:
                           f"{round(strat_results['best_pair']['profit_sum_pct'], 2)}%"),
             ('Worst Pair', f"{strat_results['worst_pair']['key']} - "
                            f"{round(strat_results['worst_pair']['profit_sum_pct'], 2)}%"),
+            ('Best trade', f"{best_trade['pair']} {round(best_trade['profit_percent'] * 100, 2)}%"),
+            ('Worst trade', f"{worst_trade['pair']} {round(worst_trade['profit_percent'] * 100, 2)}%"),
+
             ('Best day', f"{round(strat_results['backtest_best_day'] * 100, 2)}%"),
             ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"),
             ('Days win/draw/lose', f"{strat_results['winning_days']} / "