Small Adjustments to improve compatibility

docs/backtesting.md

@@ -427,7 +427,7 @@ It contains some useful key metrics about performance of your strategy on backte
 - `Rejected Buy signals`: Buy signals that could not be acted upon due to max_open_trades being reached.
 - `Min balance` / `Max balance`: Lowest and Highest Wallet balance during the backtest period.
 - `Drawdown (Account)`: Maximum Account Drawdown experienced. Calculated as $(Absolute Drawdown) / (DrawdownHigh + startingBalance)$.
-- `Drawdown`: Maximum, absolute drawdown experienced. Difference between Drawdown High and Low.
+- `Drawdown`: Maximum, absolute drawdown experienced. Difference between Drawdown High and Subsequent Low point.
 - `Drawdown high` / `Drawdown low`: Profit at the beginning and end of the largest drawdown period. A negative low value means initial capital lost.
 - `Drawdown Start` / `Drawdown End`: Start and end datetime for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command).
 - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column.

freqtrade/optimize/optimize_reports.py

@@ -207,9 +207,9 @@ def generate_strategy_comparison(all_results: Dict) -> List[Dict]:
             results['results'], results['config']['dry_run_wallet'], strategy)
         )
         try:
-            max_drawdown_per, _, _, _, _ = calculate_max_drawdown(results['results'],
+            max_drawdown_per, _, _, _, _, _ = calculate_max_drawdown(results['results'],
                                                                      value_col='profit_ratio')
-            max_drawdown_abs, _, _, _, _ = calculate_max_drawdown(results['results'],
+            max_drawdown_abs, _, _, _, _, _ = calculate_max_drawdown(results['results'],
                                                                      value_col='profit_abs')
         except ValueError:
             max_drawdown_per = 0
@@ -719,7 +719,10 @@ def text_table_add_metrics(strat_results: Dict) -> str:
             ('Max balance', round_coin_value(strat_results['csum_max'],
                                              strat_results['stake_currency'])),
 
-            ('Drawdown (Account)', f"{strat_results['max_drawdown_account']:.2%}"),
+            # Compatibility to show old hyperopt results
+            ('Drawdown (Account)', f"{strat_results['max_drawdown_account']:.2%}")
+            if 'max_drawdown_account' in strat_results else (
+                'Drawdown', f"{strat_results['max_drawdown']:.2%}"),
             ('Drawdown', round_coin_value(strat_results['max_drawdown_abs'],
                                           strat_results['stake_currency'])),
             ('Drawdown high', round_coin_value(strat_results['max_drawdown_high'],

tests/data/test_btanalysis.py

@@ -282,7 +282,7 @@ def test_create_cum_profit1(testdatadir):
 def test_calculate_max_drawdown(testdatadir):
     filename = testdatadir / "backtest-result_new.json"
     bt_data = load_backtest_data(filename)
-    drawdown_abs, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(
+    _, hdate, lowdate, hval, lval, drawdown = calculate_max_drawdown(
         bt_data, value_col="profit_abs")
     assert isinstance(drawdown, float)
     assert pytest.approx(drawdown) == 0.59495234