Merge pull request #5368 from samgermain/autopep8-formatted
Autopep8 formatting
This commit is contained in:
commit
66de30f042
@ -193,7 +193,7 @@ def deploy_new_config(config_path: Path, selections: Dict[str, Any]) -> None:
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selections['exchange'] = render_template(
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templatefile=f"subtemplates/exchange_{exchange_template}.j2",
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arguments=selections
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)
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)
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except TemplateNotFound:
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selections['exchange'] = render_template(
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templatefile="subtemplates/exchange_generic.j2",
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@ -38,15 +38,15 @@ def deploy_new_strategy(strategy_name: str, strategy_path: Path, subtemplate: st
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indicators = render_template_with_fallback(
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templatefile=f"subtemplates/indicators_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/indicators_{fallback}.j2",
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)
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)
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buy_trend = render_template_with_fallback(
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templatefile=f"subtemplates/buy_trend_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/buy_trend_{fallback}.j2",
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)
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)
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sell_trend = render_template_with_fallback(
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templatefile=f"subtemplates/sell_trend_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/sell_trend_{fallback}.j2",
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)
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)
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plot_config = render_template_with_fallback(
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templatefile=f"subtemplates/plot_config_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/plot_config_{fallback}.j2",
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@ -97,19 +97,19 @@ def deploy_new_hyperopt(hyperopt_name: str, hyperopt_path: Path, subtemplate: st
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buy_guards = render_template_with_fallback(
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templatefile=f"subtemplates/hyperopt_buy_guards_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/hyperopt_buy_guards_{fallback}.j2",
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)
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)
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sell_guards = render_template_with_fallback(
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templatefile=f"subtemplates/hyperopt_sell_guards_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/hyperopt_sell_guards_{fallback}.j2",
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)
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)
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buy_space = render_template_with_fallback(
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templatefile=f"subtemplates/hyperopt_buy_space_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/hyperopt_buy_space_{fallback}.j2",
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)
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)
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sell_space = render_template_with_fallback(
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templatefile=f"subtemplates/hyperopt_sell_space_{subtemplate}.j2",
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templatefallbackfile=f"subtemplates/hyperopt_sell_space_{fallback}.j2",
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)
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)
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strategy_text = render_template(templatefile='base_hyperopt.py.j2',
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arguments={"hyperopt": hyperopt_name,
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@ -187,7 +187,7 @@ def _hyperopt_filter_epochs_trade_count(epochs: List, filteroptions: dict) -> Li
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x for x in epochs
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if x['results_metrics'].get(
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'trade_count', x['results_metrics'].get('total_trades')
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) < filteroptions['filter_max_trades']
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) < filteroptions['filter_max_trades']
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]
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return epochs
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@ -239,7 +239,7 @@ def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
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x for x in epochs
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if x['results_metrics'].get(
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'avg_profit', x['results_metrics'].get('profit_mean', 0) * 100
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) < filteroptions['filter_max_avg_profit']
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) < filteroptions['filter_max_avg_profit']
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]
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if filteroptions['filter_min_total_profit'] is not None:
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epochs = _hyperopt_filter_epochs_trade(epochs, 0)
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@ -247,7 +247,7 @@ def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
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x for x in epochs
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if x['results_metrics'].get(
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'profit', x['results_metrics'].get('profit_total_abs', 0)
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) > filteroptions['filter_min_total_profit']
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) > filteroptions['filter_min_total_profit']
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]
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if filteroptions['filter_max_total_profit'] is not None:
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epochs = _hyperopt_filter_epochs_trade(epochs, 0)
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@ -255,7 +255,7 @@ def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
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x for x in epochs
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if x['results_metrics'].get(
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'profit', x['results_metrics'].get('profit_total_abs', 0)
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) < filteroptions['filter_max_total_profit']
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) < filteroptions['filter_max_total_profit']
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]
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return epochs
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@ -51,10 +51,10 @@ def check_exchange(config: Dict[str, Any], check_for_bad: bool = True) -> bool:
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if not is_exchange_known_ccxt(exchange):
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raise OperationalException(
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f'Exchange "{exchange}" is not known to the ccxt library '
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f'and therefore not available for the bot.\n'
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f'The following exchanges are available for Freqtrade: '
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f'{", ".join(available_exchanges())}'
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f'Exchange "{exchange}" is not known to the ccxt library '
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f'and therefore not available for the bot.\n'
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f'The following exchanges are available for Freqtrade: '
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f'{", ".join(available_exchanges())}'
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)
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valid, reason = validate_exchange(exchange)
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@ -115,7 +115,7 @@ def _validate_trailing_stoploss(conf: Dict[str, Any]) -> None:
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if conf.get('stoploss') == 0.0:
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raise OperationalException(
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'The config stoploss needs to be different from 0 to avoid problems with sell orders.'
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)
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)
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# Skip if trailing stoploss is not activated
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if not conf.get('trailing_stop', False):
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return
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@ -180,7 +180,7 @@ def _validate_protections(conf: Dict[str, Any]) -> None:
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raise OperationalException(
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"Protections must specify either `stop_duration` or `stop_duration_candles`.\n"
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f"Please fix the protection {prot.get('method')}"
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)
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)
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if ('lookback_period' in prot and 'lookback_period_candles' in prot):
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raise OperationalException(
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@ -108,5 +108,5 @@ def process_temporary_deprecated_settings(config: Dict[str, Any]) -> None:
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raise OperationalException(
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"Both 'timeframe' and 'ticker_interval' detected."
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"Please remove 'ticker_interval' from your configuration to continue operating."
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)
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)
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config['timeframe'] = config['ticker_interval']
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@ -280,7 +280,7 @@ CONF_SCHEMA = {
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'type': 'string',
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'enum': TELEGRAM_SETTING_OPTIONS,
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'default': 'off'
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},
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},
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}
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},
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'reload': {'type': 'boolean'},
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@ -231,12 +231,12 @@ class Edge:
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'Minimum expectancy and minimum winrate are met only for %s,'
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' so other pairs are filtered out.',
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self._final_pairs
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)
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)
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else:
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logger.info(
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'Edge removed all pairs as no pair with minimum expectancy '
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'and minimum winrate was found !'
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)
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)
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return self._final_pairs
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@ -247,7 +247,7 @@ class Edge:
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final = []
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for pair, info in self._cached_pairs.items():
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if info.expectancy > float(self.edge_config.get('minimum_expectancy', 0.2)) and \
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info.winrate > float(self.edge_config.get('minimum_winrate', 0.60)):
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info.winrate > float(self.edge_config.get('minimum_winrate', 0.60)):
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final.append({
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'Pair': pair,
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'Winrate': info.winrate,
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@ -44,7 +44,7 @@ def main(sysargv: List[str] = None) -> None:
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"as `freqtrade trade [options...]`.\n"
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"To see the full list of options available, please use "
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"`freqtrade --help` or `freqtrade <command> --help`."
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)
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)
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except SystemExit as e:
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return_code = e
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@ -444,9 +444,9 @@ class Hyperopt:
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' [', progressbar.ETA(), ', ', progressbar.Timer(), ']',
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]
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with progressbar.ProgressBar(
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max_value=self.total_epochs, redirect_stdout=False, redirect_stderr=False,
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widgets=widgets
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) as pbar:
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max_value=self.total_epochs, redirect_stdout=False, redirect_stderr=False,
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widgets=widgets
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) as pbar:
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EVALS = ceil(self.total_epochs / jobs)
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for i in range(EVALS):
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# Correct the number of epochs to be processed for the last
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@ -203,7 +203,7 @@ class HyperoptTools():
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elif space == "roi":
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result = result[:-1] + f'{appendix}\n'
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minimal_roi_result = rapidjson.dumps({
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str(k): v for k, v in (space_params or no_params).items()
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str(k): v for k, v in (space_params or no_params).items()
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}, default=str, indent=4, number_mode=rapidjson.NM_NATIVE)
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result += f"minimal_roi = {minimal_roi_result}"
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elif space == "trailing":
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@ -31,7 +31,7 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
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filename = Path.joinpath(
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recordfilename.parent,
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f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
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).with_suffix(recordfilename.suffix)
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).with_suffix(recordfilename.suffix)
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file_dump_json(filename, stats)
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latest_filename = Path.joinpath(filename.parent, LAST_BT_RESULT_FN)
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@ -173,7 +173,7 @@ def generate_strategy_comparison(all_results: Dict) -> List[Dict]:
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for strategy, results in all_results.items():
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tabular_data.append(_generate_result_line(
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results['results'], results['config']['dry_run_wallet'], strategy)
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)
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)
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try:
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max_drawdown_per, _, _, _, _ = calculate_max_drawdown(results['results'],
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value_col='profit_ratio')
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@ -604,7 +604,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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strat_results['stake_currency'])
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stake_amount = round_coin_value(
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strat_results['stake_amount'], strat_results['stake_currency']
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) if strat_results['stake_amount'] != UNLIMITED_STAKE_AMOUNT else 'unlimited'
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) if strat_results['stake_amount'] != UNLIMITED_STAKE_AMOUNT else 'unlimited'
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message = ("No trades made. "
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f"Your starting balance was {start_balance}, "
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@ -334,8 +334,8 @@ def add_areas(fig, row: int, data: pd.DataFrame, indicators) -> make_subplots:
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)
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elif indicator_b not in data:
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logger.info(
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'fill_to: "%s" ignored. Reason: This indicator is not '
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'in your strategy.', indicator_b
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'fill_to: "%s" ignored. Reason: This indicator is not '
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'in your strategy.', indicator_b
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)
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return fig
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@ -144,7 +144,7 @@ class IPairList(LoggingMixin, ABC):
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markets = self._exchange.markets
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if not markets:
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raise OperationalException(
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'Markets not loaded. Make sure that exchange is initialized correctly.')
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'Markets not loaded. Make sure that exchange is initialized correctly.')
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sanitized_whitelist: List[str] = []
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for pair in pairlist:
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@ -120,9 +120,9 @@ class VolumePairList(IPairList):
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# Use fresh pairlist
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# Check if pair quote currency equals to the stake currency.
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filtered_tickers = [
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v for k, v in tickers.items()
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if (self._exchange.get_pair_quote_currency(k) == self._stake_currency
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and v[self._sort_key] is not None)]
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v for k, v in tickers.items()
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if (self._exchange.get_pair_quote_currency(k) == self._stake_currency
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and v[self._sort_key] is not None)]
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pairlist = [s['symbol'] for s in filtered_tickers]
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pairlist = self.filter_pairlist(pairlist, tickers)
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@ -197,7 +197,7 @@ class VolumePairList(IPairList):
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if self._min_value > 0:
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filtered_tickers = [
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v for v in filtered_tickers if v[self._sort_key] > self._min_value]
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v for v in filtered_tickers if v[self._sort_key] > self._min_value]
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sorted_tickers = sorted(filtered_tickers, reverse=True, key=lambda t: t[self._sort_key])
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@ -28,13 +28,13 @@ class PairListManager():
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self._tickers_needed = False
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for pairlist_handler_config in self._config.get('pairlists', None):
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pairlist_handler = PairListResolver.load_pairlist(
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pairlist_handler_config['method'],
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exchange=exchange,
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pairlistmanager=self,
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config=config,
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pairlistconfig=pairlist_handler_config,
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pairlist_pos=len(self._pairlist_handlers)
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)
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pairlist_handler_config['method'],
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exchange=exchange,
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pairlistmanager=self,
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config=config,
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pairlistconfig=pairlist_handler_config,
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pairlist_pos=len(self._pairlist_handlers)
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)
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self._tickers_needed |= pairlist_handler.needstickers
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self._pairlist_handlers.append(pairlist_handler)
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@ -54,9 +54,9 @@ class StoplossGuard(IProtection):
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trades1 = Trade.get_trades_proxy(pair=pair, is_open=False, close_date=look_back_until)
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trades = [trade for trade in trades1 if (str(trade.sell_reason) in (
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SellType.TRAILING_STOP_LOSS.value, SellType.STOP_LOSS.value,
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SellType.STOPLOSS_ON_EXCHANGE.value)
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and trade.close_profit and trade.close_profit < 0)]
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SellType.TRAILING_STOP_LOSS.value, SellType.STOP_LOSS.value,
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SellType.STOPLOSS_ON_EXCHANGE.value)
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and trade.close_profit and trade.close_profit < 0)]
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if len(trades) < self._trade_limit:
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return False, None, None
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|
@ -8,6 +8,3 @@ from freqtrade.resolvers.exchange_resolver import ExchangeResolver
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from freqtrade.resolvers.pairlist_resolver import PairListResolver
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from freqtrade.resolvers.protection_resolver import ProtectionResolver
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from freqtrade.resolvers.strategy_resolver import StrategyResolver
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|
@ -50,7 +50,7 @@ class StrategyResolver(IResolver):
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if 'timeframe' not in config:
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logger.warning(
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"DEPRECATED: Please migrate to using 'timeframe' instead of 'ticker_interval'."
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)
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)
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strategy.timeframe = strategy.ticker_interval
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if strategy._ft_params_from_file:
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|
@ -199,8 +199,8 @@ def pair_history(pair: str, timeframe: str, timerange: str, strategy: str,
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config=Depends(get_config)):
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config = deepcopy(config)
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config.update({
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'strategy': strategy,
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})
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'strategy': strategy,
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})
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return RPC._rpc_analysed_history_full(config, pair, timeframe, timerange)
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|
@ -62,7 +62,7 @@ class CryptoToFiatConverter:
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# If the request is not a 429 error we want to raise the normal error
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logger.error(
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"Could not load FIAT Cryptocurrency map for the following problem: {}".format(
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request_exception
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request_exception
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)
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)
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except (Exception) as exception:
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|
@ -15,6 +15,7 @@ class RPCManager:
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"""
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Class to manage RPC objects (Telegram, API, ...)
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"""
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def __init__(self, freqtrade) -> None:
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""" Initializes all enabled rpc modules """
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self.registered_modules: List[RPCHandler] = []
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|
@ -77,7 +77,6 @@ class Telegram(RPCHandler):
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""" This class handles all telegram communication """
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def __init__(self, rpc: RPC, config: Dict[str, Any]) -> None:
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"""
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Init the Telegram call, and init the super class RPCHandler
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:param rpc: instance of RPC Helper class
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@ -270,7 +269,7 @@ class Telegram(RPCHandler):
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noti = ''
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if msg_type == RPCMessageType.SELL:
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sell_noti = self._config['telegram'] \
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.get('notification_settings', {}).get(str(msg_type), {})
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.get('notification_settings', {}).get(str(msg_type), {})
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# For backward compatibility sell still can be string
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if isinstance(sell_noti, str):
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noti = sell_noti
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@ -278,7 +277,7 @@ class Telegram(RPCHandler):
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noti = sell_noti.get(str(msg['sell_reason']), default_noti)
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else:
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noti = self._config['telegram'] \
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.get('notification_settings', {}).get(str(msg_type), default_noti)
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.get('notification_settings', {}).get(str(msg_type), default_noti)
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if noti == 'off':
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logger.info(f"Notification '{msg_type}' not sent.")
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@ -541,7 +540,7 @@ class Telegram(RPCHandler):
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f"`{first_trade_date}`\n"
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f"*Latest Trade opened:* `{latest_trade_date}\n`"
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f"*Win / Loss:* `{stats['winning_trades']} / {stats['losing_trades']}`"
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)
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)
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if stats['closed_trade_count'] > 0:
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markdown_msg += (f"\n*Avg. Duration:* `{avg_duration}`\n"
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f"*Best Performing:* `{best_pair}: {best_rate:.2f}%`")
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@ -576,13 +575,14 @@ class Telegram(RPCHandler):
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sell_reasons_msg = tabulate(
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sell_reasons_tabulate,
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headers=['Sell Reason', 'Sells', 'Wins', 'Losses']
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)
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)
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durations = stats['durations']
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duration_msg = tabulate([
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['Wins', str(timedelta(seconds=durations['wins']))
|
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if durations['wins'] != 'N/A' else 'N/A'],
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['Losses', str(timedelta(seconds=durations['losses']))
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if durations['losses'] != 'N/A' else 'N/A']
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duration_msg = tabulate(
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[
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['Wins', str(timedelta(seconds=durations['wins']))
|
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if durations['wins'] != 'N/A' else 'N/A'],
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['Losses', str(timedelta(seconds=durations['losses']))
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if durations['losses'] != 'N/A' else 'N/A']
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],
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headers=['', 'Avg. Duration']
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)
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@ -1100,7 +1100,7 @@ class Telegram(RPCHandler):
|
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if reload_able:
|
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reply_markup = InlineKeyboardMarkup([
|
||||
[InlineKeyboardButton("Refresh", callback_data=callback_path)],
|
||||
])
|
||||
])
|
||||
else:
|
||||
reply_markup = InlineKeyboardMarkup([[]])
|
||||
msg += "\nUpdated: {}".format(datetime.now().ctime())
|
||||
|
@ -38,7 +38,7 @@ def merge_informative_pair(dataframe: pd.DataFrame, informative: pd.DataFrame,
|
||||
# Detailed explanation in https://github.com/freqtrade/freqtrade/issues/4073
|
||||
informative['date_merge'] = (
|
||||
informative["date"] + pd.to_timedelta(minutes_inf, 'm') - pd.to_timedelta(minutes, 'm')
|
||||
)
|
||||
)
|
||||
else:
|
||||
raise ValueError("Tried to merge a faster timeframe to a slower timeframe."
|
||||
"This would create new rows, and can throw off your regular indicators.")
|
||||
|
@ -6,8 +6,8 @@
|
||||
*/
|
||||
"stake_currency": "BTC",
|
||||
"stake_amount": 0.05,
|
||||
"fiat_display_currency": "USD", // C++-style comment
|
||||
"amount_reserve_percent" : 0.05, // And more, tabs before this comment
|
||||
"fiat_display_currency": "USD", // C++-style comment
|
||||
"amount_reserve_percent": 0.05, // And more, tabs before this comment
|
||||
"dry_run": false,
|
||||
"timeframe": "5m",
|
||||
"trailing_stop": false,
|
||||
@ -15,15 +15,15 @@
|
||||
"trailing_stop_positive_offset": 0.0051,
|
||||
"trailing_only_offset_is_reached": false,
|
||||
"minimal_roi": {
|
||||
"40": 0.0,
|
||||
"30": 0.01,
|
||||
"20": 0.02,
|
||||
"0": 0.04
|
||||
"40": 0.0,
|
||||
"30": 0.01,
|
||||
"20": 0.02,
|
||||
"0": 0.04
|
||||
},
|
||||
"stoploss": -0.10,
|
||||
"unfilledtimeout": {
|
||||
"buy": 10,
|
||||
"sell": 30, // Trailing comma should also be accepted now
|
||||
"sell": 30, // Trailing comma should also be accepted now
|
||||
},
|
||||
"bid_strategy": {
|
||||
"use_order_book": false,
|
||||
@ -34,7 +34,7 @@
|
||||
"bids_to_ask_delta": 1
|
||||
}
|
||||
},
|
||||
"ask_strategy":{
|
||||
"ask_strategy": {
|
||||
"use_order_book": false,
|
||||
"order_book_min": 1,
|
||||
"order_book_max": 9
|
||||
@ -64,7 +64,9 @@
|
||||
"key": "your_exchange_key",
|
||||
"secret": "your_exchange_secret",
|
||||
"password": "",
|
||||
"ccxt_config": {"enableRateLimit": true},
|
||||
"ccxt_config": {
|
||||
"enableRateLimit": true
|
||||
},
|
||||
"ccxt_async_config": {
|
||||
"enableRateLimit": false,
|
||||
"rateLimit": 500,
|
||||
@ -103,8 +105,8 @@
|
||||
"remove_pumps": false
|
||||
},
|
||||
"telegram": {
|
||||
// We can now comment out some settings
|
||||
// "enabled": true,
|
||||
// We can now comment out some settings
|
||||
// "enabled": true,
|
||||
"enabled": false,
|
||||
"token": "your_telegram_token",
|
||||
"chat_id": "your_telegram_chat_id"
|
||||
@ -124,4 +126,4 @@
|
||||
},
|
||||
"strategy": "DefaultStrategy",
|
||||
"strategy_path": "user_data/strategies/"
|
||||
}
|
||||
}
|
@ -399,7 +399,7 @@ def test_hyperopt_format_results(hyperopt):
|
||||
'rejected_signals': 2,
|
||||
'backtest_start_time': 1619718665,
|
||||
'backtest_end_time': 1619718665,
|
||||
}
|
||||
}
|
||||
results_metrics = generate_strategy_stats({'XRP/BTC': None}, '', bt_result,
|
||||
Arrow(2017, 11, 14, 19, 32, 00),
|
||||
Arrow(2017, 12, 14, 19, 32, 00), market_change=0)
|
||||
|
@ -93,7 +93,7 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
|
||||
Trade.query.session.add(generate_mock_trade(
|
||||
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
|
||||
min_ago_open=200, min_ago_close=30,
|
||||
))
|
||||
))
|
||||
|
||||
assert not freqtrade.protections.global_stop()
|
||||
assert not log_has_re(message, caplog)
|
||||
@ -150,7 +150,7 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
|
||||
Trade.query.session.add(generate_mock_trade(
|
||||
pair, fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
|
||||
min_ago_open=200, min_ago_close=30, profit_rate=0.9,
|
||||
))
|
||||
))
|
||||
|
||||
assert not freqtrade.protections.stop_per_pair(pair)
|
||||
assert not freqtrade.protections.global_stop()
|
||||
|
@ -139,9 +139,9 @@ def test_fiat_too_many_requests_response(mocker, caplog):
|
||||
assert length_cryptomap == 0
|
||||
assert fiat_convert._backoff > datetime.datetime.now().timestamp()
|
||||
assert log_has(
|
||||
'Too many requests for Coingecko API, backing off and trying again later.',
|
||||
caplog
|
||||
)
|
||||
'Too many requests for Coingecko API, backing off and trying again later.',
|
||||
caplog
|
||||
)
|
||||
|
||||
|
||||
def test_fiat_invalid_response(mocker, caplog):
|
||||
|
@ -942,7 +942,7 @@ def test_api_whitelist(botclient):
|
||||
"whitelist": ['ETH/BTC', 'LTC/BTC', 'XRP/BTC', 'NEO/BTC'],
|
||||
"length": 4,
|
||||
"method": ["StaticPairList"]
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def test_api_forcebuy(botclient, mocker, fee):
|
||||
@ -1033,7 +1033,7 @@ def test_api_forcebuy(botclient, mocker, fee):
|
||||
'buy_tag': None,
|
||||
'timeframe': 5,
|
||||
'exchange': 'binance',
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
def test_api_forcesell(botclient, mocker, ticker, fee, markets):
|
||||
@ -1215,7 +1215,7 @@ def test_api_strategies(botclient):
|
||||
'DefaultStrategy',
|
||||
'HyperoptableStrategy',
|
||||
'TestStrategyLegacy'
|
||||
]}
|
||||
]}
|
||||
|
||||
|
||||
def test_api_strategy(botclient):
|
||||
|
@ -125,7 +125,7 @@ def test_parse_args_backtesting_custom() -> None:
|
||||
'--strategy-list',
|
||||
'DefaultStrategy',
|
||||
'SampleStrategy'
|
||||
]
|
||||
]
|
||||
call_args = Arguments(args).get_parsed_arg()
|
||||
assert call_args['config'] == ['test_conf.json']
|
||||
assert call_args['verbosity'] == 0
|
||||
|
@ -1130,17 +1130,17 @@ def test_pairlist_resolving_fallback(mocker):
|
||||
|
||||
|
||||
@pytest.mark.parametrize("setting", [
|
||||
("ask_strategy", "use_sell_signal", True,
|
||||
None, "use_sell_signal", False),
|
||||
("ask_strategy", "sell_profit_only", True,
|
||||
None, "sell_profit_only", False),
|
||||
("ask_strategy", "sell_profit_offset", 0.1,
|
||||
None, "sell_profit_offset", 0.01),
|
||||
("ask_strategy", "ignore_roi_if_buy_signal", True,
|
||||
None, "ignore_roi_if_buy_signal", False),
|
||||
("ask_strategy", "ignore_buying_expired_candle_after", 5,
|
||||
None, "ignore_buying_expired_candle_after", 6),
|
||||
])
|
||||
("ask_strategy", "use_sell_signal", True,
|
||||
None, "use_sell_signal", False),
|
||||
("ask_strategy", "sell_profit_only", True,
|
||||
None, "sell_profit_only", False),
|
||||
("ask_strategy", "sell_profit_offset", 0.1,
|
||||
None, "sell_profit_offset", 0.01),
|
||||
("ask_strategy", "ignore_roi_if_buy_signal", True,
|
||||
None, "ignore_roi_if_buy_signal", False),
|
||||
("ask_strategy", "ignore_buying_expired_candle_after", 5,
|
||||
None, "ignore_buying_expired_candle_after", 6),
|
||||
])
|
||||
def test_process_temporary_deprecated_settings(mocker, default_conf, setting, caplog):
|
||||
patched_configuration_load_config_file(mocker, default_conf)
|
||||
|
||||
@ -1180,10 +1180,10 @@ def test_process_temporary_deprecated_settings(mocker, default_conf, setting, ca
|
||||
|
||||
|
||||
@pytest.mark.parametrize("setting", [
|
||||
("experimental", "use_sell_signal", False),
|
||||
("experimental", "sell_profit_only", True),
|
||||
("experimental", "ignore_roi_if_buy_signal", True),
|
||||
])
|
||||
("experimental", "use_sell_signal", False),
|
||||
("experimental", "sell_profit_only", True),
|
||||
("experimental", "ignore_roi_if_buy_signal", True),
|
||||
])
|
||||
def test_process_removed_settings(mocker, default_conf, setting):
|
||||
patched_configuration_load_config_file(mocker, default_conf)
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user