diff --git a/freqtrade/data/metrics.py b/freqtrade/data/metrics.py
index eccb8a04d..00168bbfa 100644
--- a/freqtrade/data/metrics.py
+++ b/freqtrade/data/metrics.py
@@ -287,8 +287,8 @@ def calculate_sharpe(trades: pd.DataFrame,
     return sharp_ratio
 
 
-def calculate_calmar(trades: pd.DataFrame,
-                     min_date: datetime, max_date: datetime) -> float:
+def calculate_calmar(trades: pd.DataFrame, min_date: datetime, max_date: datetime,
+                     starting_balance: float) -> float:
     """
     Calculate calmar
     :param trades: DataFrame containing trades (requires columns close_date and profit_ratio)
@@ -297,17 +297,17 @@ def calculate_calmar(trades: pd.DataFrame,
     if (len(trades) == 0) or (min_date is None) or (max_date is None) or (min_date == max_date):
         return 0
 
-    total_profit = trades["profit_ratio"]
-    days_period = (max_date - min_date).days
+    total_profit = trades['profit_abs'].sum() / starting_balance
+    days_period = max(1, (max_date - min_date).days)
 
     # adding slippage of 0.1% per trade
     # total_profit = total_profit - 0.0005
-    expected_returns_mean = total_profit.sum() / days_period * 100
+    expected_returns_mean = total_profit / days_period * 100
 
     # calculate max drawdown
     try:
         _, _, _, _, _, max_drawdown = calculate_max_drawdown(
-            trades, value_col="profit_abs"
+            trades, value_col="profit_abs", starting_balance=starting_balance
         )
     except ValueError:
         max_drawdown = 0
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 8ad37e7d8..eb635cde6 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -9,8 +9,9 @@ from tabulate import tabulate
 
 from freqtrade.constants import (DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN, UNLIMITED_STAKE_AMOUNT,
                                  Config)
-from freqtrade.data.metrics import (calculate_cagr, calculate_csum, calculate_market_change,
-                                    calculate_max_drawdown)
+from freqtrade.data.metrics import (calculate_cagr, calculate_calmar, calculate_csum,
+                                    calculate_expectancy, calculate_market_change,
+                                    calculate_max_drawdown, calculate_sharpe, calculate_sortino)
 from freqtrade.misc import decimals_per_coin, file_dump_joblib, file_dump_json, round_coin_value
 from freqtrade.optimize.backtest_caching import get_backtest_metadata_filename
 
@@ -448,6 +449,10 @@ def generate_strategy_stats(pairlist: List[str],
         'profit_total_long_abs': results.loc[~results['is_short'], 'profit_abs'].sum(),
         'profit_total_short_abs': results.loc[results['is_short'], 'profit_abs'].sum(),
         'cagr': calculate_cagr(backtest_days, start_balance, content['final_balance']),
+        'expectancy': calculate_expectancy(results),
+        'sortino': calculate_sortino(results, min_date, max_date),
+        'sharpe': calculate_sharpe(results, min_date, max_date),
+        'calmar': calculate_calmar(results, min_date, max_date, start_balance),
         'profit_factor': profit_factor,
         'backtest_start': min_date.strftime(DATETIME_PRINT_FORMAT),
         'backtest_start_ts': int(min_date.timestamp() * 1000),
@@ -785,6 +790,9 @@ def text_table_add_metrics(strat_results: Dict) -> str:
                                                   strat_results['stake_currency'])),
             ('Total profit %', f"{strat_results['profit_total']:.2%}"),
             ('CAGR %', f"{strat_results['cagr']:.2%}" if 'cagr' in strat_results else 'N/A'),
+            ('Sortino', f"{strat_results['sortino']:.2f}" if 'sortino' in strat_results else 'N/A'),
+            ('Sharpe', f"{strat_results['sharpe']:.2f}" if 'sharpe' in strat_results else 'N/A'),
+            ('Calmar', f"{strat_results['calmar']:.2f}" if 'calmar' in strat_results else 'N/A'),
             ('Profit factor', f'{strat_results["profit_factor"]:.2f}' if 'profit_factor'
                               in strat_results else 'N/A'),
             ('Trades per day', strat_results['trades_per_day']),