Merge branch 'fix-docs' of https://github.com/stash86/freqtrade into fix-docs

docs/backtesting.md

@@ -22,6 +22,7 @@ usage: freqtrade backtesting [-h] [-v] [--logfile FILE] [-V] [-c PATH]
                              [--strategy-list STRATEGY_LIST [STRATEGY_LIST ...]]
                              [--export {none,trades}] [--export-filename PATH]
                              [--breakdown {day,week,month} [{day,week,month} ...]]
+                             [--cache {none,day,week,month}]
 
 optional arguments:
   -h, --help            show this help message and exit
@@ -76,7 +77,9 @@ optional arguments:
                         _today.json`
   --breakdown {day,week,month} [{day,week,month} ...]
                         Show backtesting breakdown per [day, week, month].
-  --no-cache            Do not reuse cached backtest results.
+  --cache {none,day,week,month}
+                        Load a cached backtest result no older than specified
+                        age (default: day).
 
 Common arguments:
   -v, --verbose         Verbose mode (-vv for more, -vvv to get all messages).
@@ -460,11 +463,11 @@ The output will show a table containing the realized absolute Profit (in stake c
 
 ### Backtest result caching
 
-To save time, by default backtest will reuse a cached result when backtested strategy and config match that of previous backtest. To force a new backtest despite existing result for identical run specify `--no-cache` parameter.
+To save time, by default backtest will reuse a cached result from within the last day when the backtested strategy and config match that of a previous backtest. To force a new backtest despite existing result for an identical run specify `--cache none` parameter.
 
 !!! Warning
     Caching is automatically disabled for open-ended timeranges (`--timerange 20210101-`), as freqtrade cannot ensure reliably that the underlying data didn't change. It can also use cached results where it shouldn't if the original backtest had missing data at the end, which was fixed by downloading more data.
-    In this instance, please use `--no-cache` once to get a fresh backtest.
+    In this instance, please use `--cache none` once to force a fresh backtest.
 
 ### Further backtest-result analysis
 

freqtrade/commands/arguments.py

@@ -24,7 +24,7 @@ ARGS_COMMON_OPTIMIZE = ["timeframe", "timerange", "dataformat_ohlcv",
 ARGS_BACKTEST = ARGS_COMMON_OPTIMIZE + ["position_stacking", "use_max_market_positions",
                                         "enable_protections", "dry_run_wallet", "timeframe_detail",
                                         "strategy_list", "export", "exportfilename",
-                                        "backtest_breakdown", "no_backtest_cache"]
+                                        "backtest_breakdown", "backtest_cache"]
 
 ARGS_HYPEROPT = ARGS_COMMON_OPTIMIZE + ["hyperopt", "hyperopt_path",
                                         "position_stacking", "use_max_market_positions",

freqtrade/commands/cli_options.py

@@ -205,10 +205,11 @@ AVAILABLE_CLI_OPTIONS = {
         nargs='+',
         choices=constants.BACKTEST_BREAKDOWNS
     ),
-    "no_backtest_cache": Arg(
+    "backtest_cache": Arg(
-        '--no-cache',
+        '--cache',
-        help='Do not reuse cached backtest results.',
+        help='Load a cached backtest result no older than specified age (default: %(default)s).',
-        action='store_true'
+        default=constants.BACKTEST_CACHE_DEFAULT,
+        choices=constants.BACKTEST_CACHE_AGE,
     ),
     # Edge
     "stoploss_range": Arg(

freqtrade/configuration/configuration.py

@@ -276,8 +276,8 @@ class Configuration:
         self._args_to_config(config, argname='backtest_breakdown',
                              logstring='Parameter --breakdown detected ...')
 
-        self._args_to_config(config, argname='no_backtest_cache',
+        self._args_to_config(config, argname='backtest_cache',
-                             logstring='Parameter --no-cache detected ...')
+                             logstring='Parameter --cache={} detected ...')
 
         self._args_to_config(config, argname='disableparamexport',
                              logstring='Parameter --disableparamexport detected: {} ...')

freqtrade/constants.py

@@ -34,6 +34,8 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
 AVAILABLE_PROTECTIONS = ['CooldownPeriod', 'LowProfitPairs', 'MaxDrawdown', 'StoplossGuard']
 AVAILABLE_DATAHANDLERS = ['json', 'jsongz', 'hdf5']
 BACKTEST_BREAKDOWNS = ['day', 'week', 'month']
+BACKTEST_CACHE_AGE = ['none', 'day', 'week', 'month']
+BACKTEST_CACHE_DEFAULT = 'day'
 DRY_RUN_WALLET = 1000
 DATETIME_PRINT_FORMAT = '%Y-%m-%d %H:%M:%S'
 MATH_CLOSE_PREC = 1e-14  # Precision used for float comparisons

freqtrade/data/btanalysis.py

@@ -3,6 +3,7 @@ Helpers when analyzing backtest data
 """
 import logging
 from copy import copy
+from datetime import datetime, timezone
 from pathlib import Path
 from typing import Any, Dict, List, Optional, Tuple, Union
 
@@ -99,6 +100,9 @@ def get_latest_hyperopt_file(directory: Union[Path, str], predef_filename: str =
     if isinstance(directory, str):
         directory = Path(directory)
     if predef_filename:
+        if Path(predef_filename).is_absolute():
+            raise OperationalException(
+                "--hyperopt-filename expects only the filename, not an absolute path.")
         return directory / predef_filename
     return directory / get_latest_hyperopt_filename(directory)
 
@@ -143,12 +147,24 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]:
     return data
 
 
-def find_existing_backtest_stats(dirname: Union[Path, str],
+def _load_and_merge_backtest_result(strategy_name: str, filename: Path, results: Dict[str, Any]):
-                                 run_ids: Dict[str, str]) -> Dict[str, Any]:
+    bt_data = load_backtest_stats(filename)
+    for k in ('metadata', 'strategy'):
+        results[k][strategy_name] = bt_data[k][strategy_name]
+    comparison = bt_data['strategy_comparison']
+    for i in range(len(comparison)):
+        if comparison[i]['key'] == strategy_name:
+            results['strategy_comparison'].append(comparison[i])
+            break
+
+
+def find_existing_backtest_stats(dirname: Union[Path, str], run_ids: Dict[str, str],
+                                 min_backtest_date: datetime = None) -> Dict[str, Any]:
     """
     Find existing backtest stats that match specified run IDs and load them.
     :param dirname: pathlib.Path object, or string pointing to the file.
     :param run_ids: {strategy_name: id_string} dictionary.
+    :param min_backtest_date: do not load a backtest older than specified date.
     :return: results dict.
     """
     # Copy so we can modify this dict without affecting parent scope.
@@ -169,18 +185,30 @@ def find_existing_backtest_stats(dirname: Union[Path, str],
             break
 
         for strategy_name, run_id in list(run_ids.items()):
-            if metadata.get(strategy_name, {}).get('run_id') == run_id:
+            strategy_metadata = metadata.get(strategy_name, None)
-                # TODO: load_backtest_stats() may load an old version of backtest which is
+            if not strategy_metadata:
-                #  incompatible with current version.
+                # This strategy is not present in analyzed backtest.
+                continue
+
+            if min_backtest_date is not None:
+                try:
+                    backtest_date = strategy_metadata['backtest_start_time']
+                except KeyError:
+                    # TODO: this can be removed starting from feb 2022
+                    # The metadata-file without start_time was only available in develop
+                    # and was never included in an official release.
+                    # Older metadata format without backtest time, too old to consider.
+                    return results
+                backtest_date = datetime.fromtimestamp(backtest_date, tz=timezone.utc)
+                if backtest_date < min_backtest_date:
+                    # Do not use a cached result for this strategy as first result is too old.
+                    del run_ids[strategy_name]
+                    continue
+
+            if strategy_metadata['run_id'] == run_id:
                 del run_ids[strategy_name]
-                bt_data = load_backtest_stats(filename)
+                _load_and_merge_backtest_result(strategy_name, filename, results)
-                for k in ('metadata', 'strategy'):
+
-                    results[k][strategy_name] = bt_data[k][strategy_name]
-                comparison = bt_data['strategy_comparison']
-                for i in range(len(comparison)):
-                    if comparison[i]['key'] == strategy_name:
-                        results['strategy_comparison'].append(comparison[i])
-                        break
         if len(run_ids) == 0:
             break
     return results

freqtrade/optimize/backtesting.py

@@ -11,6 +11,7 @@ from typing import Any, Dict, List, Optional, Tuple
 
 from pandas import DataFrame
 
+from freqtrade import constants
 from freqtrade.configuration import TimeRange, validate_config_consistency
 from freqtrade.constants import DATETIME_PRINT_FORMAT
 from freqtrade.data import history
@@ -64,6 +65,7 @@ class Backtesting:
         self.results: Dict[str, Any] = {}
 
         config['dry_run'] = True
+        self.run_ids: Dict[str, str] = {}
         self.strategylist: List[IStrategy] = []
         self.all_results: Dict[str, Dict] = {}
 
@@ -728,7 +730,7 @@ class Backtesting:
         )
         backtest_end_time = datetime.now(timezone.utc)
         results.update({
-            'run_id': get_strategy_run_id(strat),
+            'run_id': self.run_ids.get(strat.get_strategy_name(), ''),
             'backtest_start_time': int(backtest_start_time.timestamp()),
             'backtest_end_time': int(backtest_end_time.timestamp()),
         })
@@ -736,6 +738,33 @@ class Backtesting:
 
         return min_date, max_date
 
+    def _get_min_cached_backtest_date(self):
+        min_backtest_date = None
+        backtest_cache_age = self.config.get('backtest_cache', constants.BACKTEST_CACHE_DEFAULT)
+        if self.timerange.stopts == 0 or datetime.fromtimestamp(
+           self.timerange.stopts, tz=timezone.utc) > datetime.now(tz=timezone.utc):
+            logger.warning('Backtest result caching disabled due to use of open-ended timerange.')
+        elif backtest_cache_age == 'day':
+            min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(days=1)
+        elif backtest_cache_age == 'week':
+            min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(weeks=1)
+        elif backtest_cache_age == 'month':
+            min_backtest_date = datetime.now(tz=timezone.utc) - timedelta(weeks=4)
+        return min_backtest_date
+
+    def load_prior_backtest(self):
+        self.run_ids = {
+            strategy.get_strategy_name(): get_strategy_run_id(strategy)
+            for strategy in self.strategylist
+        }
+
+        # Load previous result that will be updated incrementally.
+        # This can be circumvented in certain instances in combination with downloading more data
+        min_backtest_date = self._get_min_cached_backtest_date()
+        if min_backtest_date is not None:
+            self.results = find_existing_backtest_stats(
+                self.config['user_data_dir'] / 'backtest_results', self.run_ids, min_backtest_date)
+
     def start(self) -> None:
         """
         Run backtesting end-to-end
@@ -747,21 +776,7 @@ class Backtesting:
         self.load_bt_data_detail()
         logger.info("Dataload complete. Calculating indicators")
 
-        run_ids = {
+        self.load_prior_backtest()
-            strategy.get_strategy_name(): get_strategy_run_id(strategy)
-            for strategy in self.strategylist
-        }
-
-        # Load previous result that will be updated incrementally.
-        # This can be circumvented in certain instances in combination with downloading more data
-        if self.timerange.stopts == 0 or datetime.fromtimestamp(
-           self.timerange.stopts, tz=timezone.utc) > datetime.now(tz=timezone.utc):
-            self.config['no_backtest_cache'] = True
-            logger.warning('Backtest result caching disabled due to use of open-ended timerange.')
-
-        if not self.config.get('no_backtest_cache', False):
-            self.results = find_existing_backtest_stats(
-                self.config['user_data_dir'] / 'backtest_results', run_ids)
 
         for strat in self.strategylist:
             if self.results and strat.get_strategy_name() in self.results['strategy']:

freqtrade/optimize/hyperopt_tools.py

@@ -137,6 +137,7 @@ class HyperoptTools():
         }
         if not HyperoptTools._test_hyperopt_results_exist(results_file):
             # No file found.
+            logger.warning(f"Hyperopt file {results_file} not found.")
             return [], 0
 
         epochs = []

freqtrade/optimize/optimize_reports.py

@@ -527,7 +527,8 @@ def generate_backtest_stats(btdata: Dict[str, DataFrame],
         strat_stats = generate_strategy_stats(pairlist, strategy, content,
                                               min_date, max_date, market_change=market_change)
         metadata[strategy] = {
-            'run_id': content['run_id']
+            'run_id': content['run_id'],
+            'backtest_start_time': content['backtest_start_time'],
         }
         result['strategy'][strategy] = strat_stats
 

freqtrade/plot/plotting.py

@@ -235,10 +235,12 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
     # Trades can be empty
     if trades is not None and len(trades) > 0:
         # Create description for sell summarizing the trade
-        trades['desc'] = trades.apply(lambda row: f"{row['profit_ratio']:.2%}, "
+        trades['desc'] = trades.apply(
-                                                  f"{row['sell_reason']}, "
+            lambda row: f"{row['profit_ratio']:.2%}, " +
-                                                  f"{row['trade_duration']} min",
+            (f"{row['buy_tag']}, " if row['buy_tag'] is not None else "") +
-                                      axis=1)
+            f"{row['sell_reason']}, " +
+            f"{row['trade_duration']} min",
+            axis=1)
         trade_buys = go.Scatter(
             x=trades["open_date"],
             y=trades["open_rate"],

freqtrade/rpc/api_server/api_backtest.py

@@ -39,7 +39,8 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
     # Start backtesting
     # Initialize backtesting object
     def run_backtest():
-        from freqtrade.optimize.optimize_reports import generate_backtest_stats
+        from freqtrade.optimize.optimize_reports import (generate_backtest_stats,
+                                                         store_backtest_stats)
         from freqtrade.resolvers import StrategyResolver
         asyncio.set_event_loop(asyncio.new_event_loop())
         try:
@@ -76,13 +77,25 @@ async def api_start_backtest(bt_settings: BacktestRequest, background_tasks: Bac
             lastconfig['enable_protections'] = btconfig.get('enable_protections')
             lastconfig['dry_run_wallet'] = btconfig.get('dry_run_wallet')
 
-            ApiServer._bt.abort = False
+            ApiServer._bt.results = {}
-            min_date, max_date = ApiServer._bt.backtest_one_strategy(
+            ApiServer._bt.load_prior_backtest()
-                strat, ApiServer._bt_data, ApiServer._bt_timerange)
+
+            ApiServer._bt.abort = False
+            if (ApiServer._bt.results and
+                    strat.get_strategy_name() in ApiServer._bt.results['strategy']):
+                # When previous result hash matches - reuse that result and skip backtesting.
+                logger.info(f'Reusing result of previous backtest for {strat.get_strategy_name()}')
+            else:
+                min_date, max_date = ApiServer._bt.backtest_one_strategy(
+                    strat, ApiServer._bt_data, ApiServer._bt_timerange)
+
+                ApiServer._bt.results = generate_backtest_stats(
+                    ApiServer._bt_data, ApiServer._bt.all_results,
+                    min_date=min_date, max_date=max_date)
+
+            if btconfig.get('export', 'none') == 'trades':
+                store_backtest_stats(btconfig['exportfilename'], ApiServer._bt.results)
 
-            ApiServer._bt.results = generate_backtest_stats(
-                ApiServer._bt_data, ApiServer._bt.all_results,
-                min_date=min_date, max_date=max_date)
             logger.info("Backtest finished.")
 
         except DependencyException as e:

tests/data/test_btanalysis.py

@@ -51,6 +51,12 @@ def test_get_latest_hyperopt_file(testdatadir):
     res = get_latest_hyperopt_file(str(testdatadir.parent))
     assert res == testdatadir.parent / "hyperopt_results.pickle"
 
+    # Test with absolute path
+    with pytest.raises(
+        OperationalException,
+            match="--hyperopt-filename expects only the filename, not an absolute path."):
+        get_latest_hyperopt_file(str(testdatadir.parent), str(testdatadir.parent))
+
 
 def test_load_backtest_metadata(mocker, testdatadir):
     res = load_backtest_metadata(testdatadir / 'nonexistant.file.json')

tests/optimize/test_backtesting.py

@@ -11,6 +11,7 @@ import pandas as pd
 import pytest
 from arrow import Arrow
 
+from freqtrade import constants
 from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_backtesting
 from freqtrade.configuration import TimeRange
 from freqtrade.data import history
@@ -1242,8 +1243,11 @@ def test_backtest_start_multi_strat_nomock_detail(default_conf, mocker,
 
 
 @pytest.mark.filterwarnings("ignore:deprecated")
-def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testdatadir):
+@pytest.mark.parametrize('run_id', ['2', 'changed'])
-
+@pytest.mark.parametrize('start_delta', [{'days': 0}, {'days': 1}, {'weeks': 1}, {'weeks': 4}])
+@pytest.mark.parametrize('cache', constants.BACKTEST_CACHE_AGE)
+def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testdatadir, run_id,
+                                            start_delta, cache):
     default_conf.update({
         "use_sell_signal": True,
         "sell_profit_only": False,
@@ -1263,9 +1267,19 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
     mocker.patch('freqtrade.optimize.backtesting.show_backtest_results', MagicMock())
 
+    now = min_backtest_date = datetime.now(tz=timezone.utc)
+    start_time = now - timedelta(**start_delta) + timedelta(hours=1)
+    if cache == 'none':
+        min_backtest_date = now + timedelta(days=1)
+    elif cache == 'day':
+        min_backtest_date = now - timedelta(days=1)
+    elif cache == 'week':
+        min_backtest_date = now - timedelta(weeks=1)
+    elif cache == 'month':
+        min_backtest_date = now - timedelta(weeks=4)
     load_backtest_metadata = MagicMock(return_value={
-        'StrategyTestV2': {'run_id': '1'},
+        'StrategyTestV2': {'run_id': '1', 'backtest_start_time': now.timestamp()},
-        'TestStrategyLegacyV1': {'run_id': 'changed'}
+        'TestStrategyLegacyV1': {'run_id': run_id, 'backtest_start_time': start_time.timestamp()}
     })
     load_backtest_stats = MagicMock(side_effect=[
         {
@@ -1279,7 +1293,8 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
             'strategy_comparison': [{'key': 'TestStrategyLegacyV1'}]
         }
     ])
-    mocker.patch('pathlib.Path.glob', return_value=['not important'])
+    mocker.patch('pathlib.Path.glob', return_value=[
+        Path(datetime.strftime(datetime.now(), 'backtest-result-%Y-%m-%d_%H-%M-%S.json'))])
     mocker.patch.multiple('freqtrade.data.btanalysis',
                           load_backtest_metadata=load_backtest_metadata,
                           load_backtest_stats=load_backtest_stats)
@@ -1296,29 +1311,49 @@ def test_backtest_start_multi_strat_caching(default_conf, mocker, caplog, testda
         '--timerange', '1510694220-1510700340',
         '--enable-position-stacking',
         '--disable-max-market-positions',
+        '--cache', cache,
         '--strategy-list',
         'StrategyTestV2',
         'TestStrategyLegacyV1',
     ]
     args = get_args(args)
     start_backtesting(args)
-    # 1 backtest, 1 loaded from cache
-    assert backtestmock.call_count == 1
 
     # check the logs, that will contain the backtest result
     exists = [
         'Parameter -i/--timeframe detected ... Using timeframe: 1m ...',
-        'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
         'Parameter --timerange detected: 1510694220-1510700340 ...',
         f'Using data directory: {testdatadir} ...',
         'Loading data from 2017-11-14 20:57:00 '
         'up to 2017-11-14 22:58:00 (0 days).',
-        'Backtesting with data from 2017-11-14 21:17:00 '
-        'up to 2017-11-14 22:58:00 (0 days).',
         'Parameter --enable-position-stacking detected ...',
-        'Reusing result of previous backtest for StrategyTestV2',
-        'Running backtesting for Strategy TestStrategyLegacyV1',
     ]
 
     for line in exists:
         assert log_has(line, caplog)
+
+    if cache == 'none':
+        assert backtestmock.call_count == 2
+        exists = [
+            'Running backtesting for Strategy StrategyTestV2',
+            'Running backtesting for Strategy TestStrategyLegacyV1',
+            'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
+            'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
+        ]
+    elif run_id == '2' and min_backtest_date < start_time:
+        assert backtestmock.call_count == 0
+        exists = [
+            'Reusing result of previous backtest for StrategyTestV2',
+            'Reusing result of previous backtest for TestStrategyLegacyV1',
+        ]
+    else:
+        exists = [
+            'Reusing result of previous backtest for StrategyTestV2',
+            'Running backtesting for Strategy TestStrategyLegacyV1',
+            'Ignoring max_open_trades (--disable-max-market-positions was used) ...',
+            'Backtesting with data from 2017-11-14 21:17:00 up to 2017-11-14 22:58:00 (0 days).',
+        ]
+        assert backtestmock.call_count == 1
+
+    for line in exists:
+        assert log_has(line, caplog)

tests/optimize/test_hyperopt_tools.py

@@ -10,7 +10,7 @@ import rapidjson
 from freqtrade.constants import FTHYPT_FILEVERSION
 from freqtrade.exceptions import OperationalException
 from freqtrade.optimize.hyperopt_tools import HyperoptTools, hyperopt_serializer
-from tests.conftest import log_has
+from tests.conftest import log_has, log_has_re
 
 
 # Functions for recurrent object patching
@@ -24,6 +24,7 @@ def test_save_results_saves_epochs(hyperopt, tmpdir, caplog) -> None:
     hyperopt.results_file = Path(tmpdir / 'ut_results.fthypt')
 
     hyperopt_epochs = HyperoptTools.load_filtered_results(hyperopt.results_file, {})
+    assert log_has_re("Hyperopt file .* not found.", caplog)
     assert hyperopt_epochs == ([], 0)
 
     # Test writing to temp dir and reading again

tests/rpc/test_rpc.py

@@ -220,11 +220,17 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
     result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
     assert "Since" in headers
     assert "Pair" in headers
+    assert len(result[0]) == 4
     assert 'instantly' == result[0][2]
     assert 'ETH/BTC' in result[0][1]
     assert '-0.41% (-0.06)' == result[0][3]
     assert '-0.06' == f'{fiat_profit_sum:.2f}'
 
+    rpc._config['position_adjustment_enable'] = True
+    result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
+    assert "# Buys" in headers
+    assert len(result[0]) == 5
+
     mocker.patch('freqtrade.exchange.Exchange.get_rate',
                  MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
     result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')

tests/rpc/test_rpc_apiserver.py

@@ -1326,7 +1326,7 @@ def test_sysinfo(botclient):
     assert 'ram_pct' in result
 
 
-def test_api_backtesting(botclient, mocker, fee, caplog):
+def test_api_backtesting(botclient, mocker, fee, caplog, tmpdir):
     ftbot, client = botclient
     mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
 
@@ -1347,6 +1347,11 @@ def test_api_backtesting(botclient, mocker, fee, caplog):
     assert result['status'] == 'reset'
     assert not result['running']
     assert result['status_msg'] == 'Backtest reset'
+    ftbot.config['export'] = 'trades'
+    ftbot.config['backtest_cache'] = 'none'
+    ftbot.config['user_data_dir'] = Path(tmpdir)
+    ftbot.config['exportfilename'] = Path(tmpdir) / "backtest_results"
+    ftbot.config['exportfilename'].mkdir()
 
     # start backtesting
     data = {
@@ -1421,6 +1426,14 @@ def test_api_backtesting(botclient, mocker, fee, caplog):
     rc = client_post(client, f"{BASE_URI}/backtest", data=json.dumps(data))
     assert log_has("Backtesting caused an error: ", caplog)
 
+    ftbot.config['backtest_cache'] = 'day'
+
+    # Rerun backtest (should get previous result)
+    rc = client_post(client, f"{BASE_URI}/backtest", data=json.dumps(data))
+    assert_response(rc)
+    result = rc.json()
+    assert log_has_re('Reusing result of previous backtest.*', caplog)
+
     # Delete backtesting to avoid leakage since the backtest-object may stick around.
     rc = client_delete(client, f"{BASE_URI}/backtest")
     assert_response(rc)

tests/test_plotting.py

@@ -171,7 +171,7 @@ def test_plot_trades(testdatadir, caplog):
     assert len(trades) == len(trade_buy.x)
     assert trade_buy.marker.color == 'cyan'
     assert trade_buy.marker.symbol == 'circle-open'
-    assert trade_buy.text[0] == '3.99%, roi, 15 min'
+    assert trade_buy.text[0] == '3.99%, buy_tag, roi, 15 min'
 
     trade_sell = find_trace_in_fig_data(figure.data, 'Sell - Profit')
     assert isinstance(trade_sell, go.Scatter)
@@ -179,7 +179,7 @@ def test_plot_trades(testdatadir, caplog):
     assert len(trades.loc[trades['profit_ratio'] > 0]) == len(trade_sell.x)
     assert trade_sell.marker.color == 'green'
     assert trade_sell.marker.symbol == 'square-open'
-    assert trade_sell.text[0] == '3.99%, roi, 15 min'
+    assert trade_sell.text[0] == '3.99%, buy_tag, roi, 15 min'
 
     trade_sell_loss = find_trace_in_fig_data(figure.data, 'Sell - Loss')
     assert isinstance(trade_sell_loss, go.Scatter)