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remove prepare data from baseanalysis

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This commit is contained in:
Stefano Ariestasia
2023-09-12 19:29:13 +09:00
parent 475d8486bb
commit cfeefa8754
3 changed files with 49 additions and 57 deletions
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30
freqtrade/optimize/base_analysis.py
View File

@@ -49,36 +49,6 @@ class BaseAnalysis:
timestamp = int(dt.replace(tzinfo=timezone.utc).timestamp())
return timestamp
def prepare_data(self, varholder: VarHolder, pairs_to_load: List[DataFrame], backtesting: Backtesting):
if 'freqai' in self.local_config and 'identifier' in self.local_config['freqai']:
# purge previous data if the freqai model is defined
# (to be sure nothing is carried over from older backtests)
path_to_current_identifier = (
Path(f"{self.local_config['user_data_dir']}/models/"
f"{self.local_config['freqai']['identifier']}").resolve())
# remove folder and its contents
if Path.exists(path_to_current_identifier):
shutil.rmtree(path_to_current_identifier)
prepare_data_config = deepcopy(self.local_config)
prepare_data_config['timerange'] = (str(self.dt_to_timestamp(varholder.from_dt)) + "-" +
str(self.dt_to_timestamp(varholder.to_dt)))
prepare_data_config['exchange']['pair_whitelist'] = pairs_to_load
if self._fee is not None:
# Don't re-calculate fee per pair, as fee might differ per pair.
prepare_data_config['fee'] = self._fee
backtesting = Backtesting(prepare_data_config, self.exchange)
backtesting._set_strategy(backtesting.strategylist[0])
varholder.data, varholder.timerange = backtesting.load_bt_data()
backtesting.load_bt_data_detail()
varholder.timeframe = backtesting.timeframe
varholder.indicators = backtesting.strategy.advise_all_indicators(varholder.data)
def fill_full_varholder(self):
self.full_varHolder = VarHolder()

50
freqtrade/optimize/lookahead_analysis.py
View File

@@ -119,41 +119,37 @@ class LookaheadAnalysis(BaseAnalysis):
f"{col_name[0]}. "
f"{str(self_value)} != {str(other_value)}")
def prepare_data(self, varholder: VarHolder, pairs_to_load: List[DataFrame], backtesting=None):
def prepare_data(self, varholder: VarHolder, pairs_to_load: List[DataFrame]):
if backtesting is None:
backtesting = Backtesting(deepcopy(self.local_config))
super().prepare_data(varholder, pairs_to_load, backtesting)
if 'freqai' in self.local_config and 'identifier' in self.local_config['freqai']:
# purge previous data if the freqai model is defined
# (to be sure nothing is carried over from older backtests)
path_to_current_identifier = (
Path(f"{self.local_config['user_data_dir']}/models/"
f"{self.local_config['freqai']['identifier']}").resolve())
# remove folder and its contents
if Path.exists(path_to_current_identifier):
shutil.rmtree(path_to_current_identifier)
# if 'freqai' in self.local_config and 'identifier' in self.local_config['freqai']:
# # purge previous data if the freqai model is defined
# # (to be sure nothing is carried over from older backtests)
# path_to_current_identifier = (
# Path(f"{self.local_config['user_data_dir']}/models/"
# f"{self.local_config['freqai']['identifier']}").resolve())
# # remove folder and its contents
# if Path.exists(path_to_current_identifier):
# shutil.rmtree(path_to_current_identifier)
prepare_data_config = deepcopy(self.local_config)
prepare_data_config['timerange'] = (str(self.dt_to_timestamp(varholder.from_dt)) + "-" +
str(self.dt_to_timestamp(varholder.to_dt)))
prepare_data_config['exchange']['pair_whitelist'] = pairs_to_load
# prepare_data_config = deepcopy(self.local_config)
# prepare_data_config['timerange'] = (str(self.dt_to_timestamp(varholder.from_dt)) + "-" +
# str(self.dt_to_timestamp(varholder.to_dt)))
# prepare_data_config['exchange']['pair_whitelist'] = pairs_to_load
if self._fee is not None:
# Don't re-calculate fee per pair, as fee might differ per pair.
prepare_data_config['fee'] = self._fee
# if self._fee is not None:
# # Don't re-calculate fee per pair, as fee might differ per pair.
# prepare_data_config['fee'] = self._fee
# backtesting = Backtesting(prepare_data_config, self.exchange)
backtesting = Backtesting(prepare_data_config, self.exchange)
self.exchange = backtesting.exchange
self._fee = backtesting.fee
# backtesting._set_strategy(backtesting.strategylist[0])
backtesting._set_strategy(backtesting.strategylist[0])
# varholder.data, varholder.timerange = backtesting.load_bt_data()
# backtesting.load_bt_data_detail()
# varholder.timeframe = backtesting.timeframe
varholder.data, varholder.timerange = backtesting.load_bt_data()
backtesting.load_bt_data_detail()
varholder.timeframe = backtesting.timeframe
# varholder.indicators = backtesting.strategy.advise_all_indicators(varholder.data)
varholder.indicators = backtesting.strategy.advise_all_indicators(varholder.data)
varholder.result = self.get_result(backtesting, varholder.indicators)
def fill_entry_and_exit_varHolders(self, result_row):

26
freqtrade/optimize/recursive_analysis.py
View File

@@ -104,6 +104,32 @@ class RecursiveAnalysis(BaseAnalysis):
else:
logger.info("No lookahead bias on indicators found. Stop the process.")
def prepare_data(self, varholder: VarHolder, pairs_to_load: List[DataFrame]):
if 'freqai' in self.local_config and 'identifier' in self.local_config['freqai']:
# purge previous data if the freqai model is defined
# (to be sure nothing is carried over from older backtests)
path_to_current_identifier = (
Path(f"{self.local_config['user_data_dir']}/models/"
f"{self.local_config['freqai']['identifier']}").resolve())
# remove folder and its contents
if Path.exists(path_to_current_identifier):
shutil.rmtree(path_to_current_identifier)
prepare_data_config = deepcopy(self.local_config)
prepare_data_config['timerange'] = (str(self.dt_to_timestamp(varholder.from_dt)) + "-" +
str(self.dt_to_timestamp(varholder.to_dt)))
prepare_data_config['exchange']['pair_whitelist'] = pairs_to_load
backtesting = Backtesting(prepare_data_config, self.exchange)
backtesting._set_strategy(backtesting.strategylist[0])
varholder.data, varholder.timerange = backtesting.load_bt_data()
backtesting.load_bt_data_detail()
varholder.timeframe = backtesting.timeframe
varholder.indicators = backtesting.strategy.advise_all_indicators(varholder.data)
def fill_partial_varholder(self, start_date, startup_candle):
partial_varHolder = VarHolder()