Merge pull request #1018 from freqtrade/feat/sell_reason
Record sell reason
This commit is contained in:
commit
0b3190552e
@ -83,7 +83,7 @@ with filename.open() as file:
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data = json.load(file)
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columns = ["pair", "profit", "opents", "closets", "index", "duration",
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"open_rate", "close_rate", "open_at_end"]
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"open_rate", "close_rate", "open_at_end", "sell_reason"]
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df = pd.DataFrame(data, columns=columns)
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df['opents'] = pd.to_datetime(df['opents'],
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@ -98,6 +98,8 @@ df['closets'] = pd.to_datetime(df['closets'],
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)
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```
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If you have some ideas for interesting / helpful backtest data analysis, feel free to submit a PR so the community can benefit from it.
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#### Exporting trades to file specifying a custom filename
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```bash
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@ -20,6 +20,7 @@ from freqtrade.fiat_convert import CryptoToFiatConverter
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from freqtrade.persistence import Trade
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from freqtrade.rpc import RPCManager, RPCMessageType
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from freqtrade.state import State
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from freqtrade.strategy.interface import SellType
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from freqtrade.strategy.resolver import IStrategy, StrategyResolver
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logger = logging.getLogger(__name__)
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@ -53,7 +54,6 @@ class FreqtradeBot(object):
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self.rpc: RPCManager = RPCManager(self)
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self.persistence = None
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self.exchange = Exchange(self.config)
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self._init_modules()
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def _init_modules(self) -> None:
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@ -392,7 +392,9 @@ class FreqtradeBot(object):
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open_rate_requested=buy_limit,
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open_date=datetime.utcnow(),
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exchange=self.exchange.id,
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open_order_id=order_id
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open_order_id=order_id,
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strategy=self.strategy.get_strategy_name(),
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ticker_interval=constants.TICKER_INTERVAL_MINUTES[self.config['ticker_interval']]
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)
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Trade.session.add(trade)
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Trade.session.flush()
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@ -505,8 +507,9 @@ class FreqtradeBot(object):
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(buy, sell) = self.strategy.get_signal(self.exchange,
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trade.pair, self.strategy.ticker_interval)
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if self.strategy.should_sell(trade, current_rate, datetime.utcnow(), buy, sell):
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self.execute_sell(trade, current_rate)
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should_sell = self.strategy.should_sell(trade, current_rate, datetime.utcnow(), buy, sell)
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if should_sell.sell_flag:
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self.execute_sell(trade, current_rate, should_sell.sell_type)
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return True
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logger.info('Found no sell signals for whitelisted currencies. Trying again..')
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return False
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@ -607,17 +610,19 @@ class FreqtradeBot(object):
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# TODO: figure out how to handle partially complete sell orders
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return False
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def execute_sell(self, trade: Trade, limit: float) -> None:
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def execute_sell(self, trade: Trade, limit: float, sell_reason: SellType) -> None:
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"""
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Executes a limit sell for the given trade and limit
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:param trade: Trade instance
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:param limit: limit rate for the sell order
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:param sellreason: Reason the sell was triggered
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:return: None
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"""
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# Execute sell and update trade record
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order_id = self.exchange.sell(str(trade.pair), limit, trade.amount)['id']
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trade.open_order_id = order_id
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trade.close_rate_requested = limit
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trade.sell_reason = sell_reason.value
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profit_trade = trade.calc_profit(rate=limit)
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current_rate = self.exchange.get_ticker(trade.pair)['bid']
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@ -20,6 +20,7 @@ from freqtrade.configuration import Configuration
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from freqtrade.exchange import Exchange
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from freqtrade.misc import file_dump_json
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from freqtrade.persistence import Trade
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from freqtrade.strategy.interface import SellType
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from freqtrade.strategy.resolver import IStrategy, StrategyResolver
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logger = logging.getLogger(__name__)
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@ -40,6 +41,7 @@ class BacktestResult(NamedTuple):
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open_at_end: bool
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open_rate: float
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close_rate: float
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sell_reason: SellType
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class Backtesting(object):
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@ -120,11 +122,21 @@ class Backtesting(object):
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])
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return tabulate(tabular_data, headers=headers, floatfmt=floatfmt, tablefmt="pipe")
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def _generate_text_table_sell_reason(self, data: Dict[str, Dict], results: DataFrame) -> str:
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"""
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Generate small table outlining Backtest results
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"""
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tabular_data = []
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headers = ['Sell Reason', 'Count']
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for reason, count in results['sell_reason'].value_counts().iteritems():
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tabular_data.append([reason.value, count])
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return tabulate(tabular_data, headers=headers, tablefmt="pipe")
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def _store_backtest_result(self, recordfilename: Optional[str], results: DataFrame) -> None:
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records = [(t.pair, t.profit_percent, t.open_time.timestamp(),
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t.close_time.timestamp(), t.open_index - 1, t.trade_duration,
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t.open_rate, t.close_rate, t.open_at_end)
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t.open_rate, t.close_rate, t.open_at_end, t.sell_reason.value)
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for index, t in results.iterrows()]
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if records:
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@ -153,8 +165,9 @@ class Backtesting(object):
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trade_count_lock[sell_row.date] = trade_count_lock.get(sell_row.date, 0) + 1
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buy_signal = sell_row.buy
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if self.strategy.should_sell(trade, sell_row.open, sell_row.date, buy_signal,
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sell_row.sell):
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sell = self.strategy.should_sell(trade, sell_row.open, sell_row.date, buy_signal,
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sell_row.sell)
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if sell.sell_flag:
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return BacktestResult(pair=pair,
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profit_percent=trade.calc_profit_percent(rate=sell_row.open),
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@ -167,7 +180,8 @@ class Backtesting(object):
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close_index=sell_row.Index,
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open_at_end=False,
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open_rate=buy_row.open,
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close_rate=sell_row.open
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close_rate=sell_row.open,
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sell_reason=sell.sell_type
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)
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if partial_ticker:
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# no sell condition found - trade stil open at end of backtest period
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@ -183,7 +197,8 @@ class Backtesting(object):
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close_index=sell_row.Index,
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open_at_end=True,
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open_rate=buy_row.open,
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close_rate=sell_row.open
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close_rate=sell_row.open,
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sell_reason=SellType.FORCE_SELL
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)
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logger.debug('Force_selling still open trade %s with %s perc - %s', btr.pair,
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btr.profit_percent, btr.profit_abs)
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@ -318,21 +333,31 @@ class Backtesting(object):
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self._store_backtest_result(self.config.get('exportfilename'), results)
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logger.info(
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'\n================================================= '
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'BACKTESTING REPORT'
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' ==================================================\n'
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'\n' + '=' * 49 +
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' BACKTESTING REPORT ' +
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'=' * 50 + '\n'
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'%s',
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self._generate_text_table(
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data,
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results
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)
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)
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# logger.info(
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# results[['sell_reason']].groupby('sell_reason').count()
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# )
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logger.info(
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'\n=============================================== '
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'LEFT OPEN TRADES REPORT'
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' ===============================================\n'
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'%s',
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'\n' +
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' SELL READON STATS '.center(119, '=') +
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'\n%s \n',
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self._generate_text_table_sell_reason(data, results)
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)
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logger.info(
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'\n' +
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' LEFT OPEN TRADES REPORT '.center(119, '=') +
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'\n%s',
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self._generate_text_table(
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data,
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results.loc[results.open_at_end]
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@ -90,6 +90,9 @@ def check_migrate(engine) -> None:
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stop_loss = get_column_def(cols, 'stop_loss', '0.0')
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initial_stop_loss = get_column_def(cols, 'initial_stop_loss', '0.0')
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max_rate = get_column_def(cols, 'max_rate', '0.0')
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sell_reason = get_column_def(cols, 'sell_reason', 'null')
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strategy = get_column_def(cols, 'strategy', 'null')
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ticker_interval = get_column_def(cols, 'ticker_interval', 'null')
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# Schema migration necessary
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engine.execute(f"alter table trades rename to {table_back_name}")
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@ -101,7 +104,8 @@ def check_migrate(engine) -> None:
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(id, exchange, pair, is_open, fee_open, fee_close, open_rate,
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open_rate_requested, close_rate, close_rate_requested, close_profit,
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stake_amount, amount, open_date, close_date, open_order_id,
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stop_loss, initial_stop_loss, max_rate
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stop_loss, initial_stop_loss, max_rate, sell_reason, strategy,
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ticker_interval
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)
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select id, lower(exchange),
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case
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@ -116,7 +120,8 @@ def check_migrate(engine) -> None:
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{close_rate_requested} close_rate_requested, close_profit,
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stake_amount, amount, open_date, close_date, open_order_id,
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{stop_loss} stop_loss, {initial_stop_loss} initial_stop_loss,
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{max_rate} max_rate
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{max_rate} max_rate, {sell_reason} sell_reason, {strategy} strategy,
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{ticker_interval} ticker_interval
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from {table_back_name}
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""")
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@ -172,6 +177,9 @@ class Trade(_DECL_BASE):
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initial_stop_loss = Column(Float, nullable=True, default=0.0)
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# absolute value of the highest reached price
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max_rate = Column(Float, nullable=True, default=0.0)
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sell_reason = Column(String, nullable=True)
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strategy = Column(String, nullable=True)
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ticker_interval = Column(Integer, nullable=True)
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def __repr__(self):
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open_since = arrow.get(self.open_date).humanize() if self.is_open else 'closed'
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@ -16,6 +16,7 @@ from pandas import DataFrame
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from freqtrade.misc import shorten_date
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from freqtrade.persistence import Trade
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from freqtrade.state import State
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from freqtrade.strategy.interface import SellType
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logger = logging.getLogger(__name__)
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@ -344,7 +345,7 @@ class RPC(object):
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# Get current rate and execute sell
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current_rate = self._freqtrade.exchange.get_ticker(trade.pair, False)['bid']
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self._freqtrade.execute_sell(trade, current_rate)
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self._freqtrade.execute_sell(trade, current_rate, SellType.FORCE_SELL)
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# ---- EOF def _exec_forcesell ----
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if self._freqtrade.state != State.RUNNING:
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@ -6,7 +6,7 @@ import logging
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from abc import ABC, abstractmethod
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from datetime import datetime
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from enum import Enum
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from typing import Dict, List, Tuple
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from typing import Dict, List, NamedTuple, Tuple
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import arrow
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from pandas import DataFrame
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@ -27,6 +27,26 @@ class SignalType(Enum):
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SELL = "sell"
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class SellType(Enum):
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"""
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Enum to distinguish between sell reasons
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"""
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ROI = "roi"
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STOP_LOSS = "stop_loss"
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TRAILING_STOP_LOSS = "trailing_stop_loss"
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SELL_SIGNAL = "sell_signal"
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FORCE_SELL = "force_sell"
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NONE = ""
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class SellCheckTuple(NamedTuple):
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"""
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NamedTuple for Sell type + reason
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"""
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sell_flag: bool
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sell_type: SellType
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class IStrategy(ABC):
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"""
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Interface for freqtrade strategies
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@ -69,6 +89,12 @@ class IStrategy(ABC):
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:return: DataFrame with sell column
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"""
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def get_strategy_name(self) -> str:
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"""
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Returns strategy class name
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"""
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return self.__class__.__name__
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def analyze_ticker(self, ticker_history: List[Dict]) -> DataFrame:
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"""
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Parses the given ticker history and returns a populated DataFrame
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@ -137,40 +163,42 @@ class IStrategy(ABC):
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)
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return buy, sell
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def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool, sell: bool) -> bool:
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def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool,
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sell: bool) -> SellCheckTuple:
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"""
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This function evaluate if on the condition required to trigger a sell has been reached
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if the threshold is reached and updates the trade record.
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:return: True if trade should be sold, False otherwise
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"""
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current_profit = trade.calc_profit_percent(rate)
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if self.stop_loss_reached(current_rate=rate, trade=trade, current_time=date,
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current_profit=current_profit):
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return True
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stoplossflag = self.stop_loss_reached(current_rate=rate, trade=trade, current_time=date,
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current_profit=current_profit)
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if stoplossflag.sell_flag:
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return stoplossflag
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experimental = self.config.get('experimental', {})
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if buy and experimental.get('ignore_roi_if_buy_signal', False):
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logger.debug('Buy signal still active - not selling.')
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return False
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return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)
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# Check if minimal roi has been reached and no longer in buy conditions (avoiding a fee)
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if self.min_roi_reached(trade=trade, current_profit=current_profit, current_time=date):
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logger.debug('Required profit reached. Selling..')
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return True
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return SellCheckTuple(sell_flag=True, sell_type=SellType.ROI)
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if experimental.get('sell_profit_only', False):
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logger.debug('Checking if trade is profitable..')
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if trade.calc_profit(rate=rate) <= 0:
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return False
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return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)
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if sell and not buy and experimental.get('use_sell_signal', False):
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logger.debug('Sell signal received. Selling..')
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return True
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return SellCheckTuple(sell_flag=True, sell_type=SellType.SELL_SIGNAL)
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return False
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return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)
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def stop_loss_reached(self, current_rate: float, trade: Trade, current_time: datetime,
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current_profit: float) -> bool:
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current_profit: float) -> SellCheckTuple:
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"""
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Based on current profit of the trade and configured (trailing) stoploss,
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decides to sell or not
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@ -182,8 +210,9 @@ class IStrategy(ABC):
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# evaluate if the stoploss was hit
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if self.stoploss is not None and trade.stop_loss >= current_rate:
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selltype = SellType.STOP_LOSS
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if trailing_stop:
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selltype = SellType.TRAILING_STOP_LOSS
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logger.debug(
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f"HIT STOP: current price at {current_rate:.6f}, "
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f"stop loss is {trade.stop_loss:.6f}, "
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@ -192,7 +221,7 @@ class IStrategy(ABC):
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logger.debug(f"trailing stop saved {trade.stop_loss - trade.initial_stop_loss:.6f}")
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logger.debug('Stop loss hit.')
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return True
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return SellCheckTuple(sell_flag=True, sell_type=selltype)
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# update the stop loss afterwards, after all by definition it's supposed to be hanging
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if trailing_stop:
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@ -209,7 +238,7 @@ class IStrategy(ABC):
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trade.adjust_stop_loss(current_rate, stop_loss_value)
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return False
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return SellCheckTuple(sell_flag=False, sell_type=SellType.NONE)
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def min_roi_reached(self, trade: Trade, current_profit: float, current_time: datetime) -> bool:
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"""
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|
@ -17,6 +17,7 @@ from freqtrade.arguments import Arguments, TimeRange
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from freqtrade.optimize.backtesting import (Backtesting, setup_configuration,
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start)
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from freqtrade.tests.conftest import log_has, patch_exchange
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from freqtrade.strategy.interface import SellType
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from freqtrade.strategy.default_strategy import DefaultStrategy
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@ -406,6 +407,35 @@ def test_generate_text_table(default_conf, mocker):
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assert backtesting._generate_text_table(data={'ETH/BTC': {}}, results=results) == result_str
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def test_generate_text_table_sell_reason(default_conf, mocker):
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"""
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Test Backtesting.generate_text_table_sell_reason() method
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"""
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patch_exchange(mocker)
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backtesting = Backtesting(default_conf)
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results = pd.DataFrame(
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{
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'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
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'profit_percent': [0.1, 0.2, 0.3],
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'profit_abs': [0.2, 0.4, 0.5],
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'trade_duration': [10, 30, 10],
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'profit': [2, 0, 0],
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'loss': [0, 0, 1],
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'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
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}
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)
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result_str = (
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'| Sell Reason | Count |\n'
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'|:--------------|--------:|\n'
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'| roi | 2 |\n'
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'| stop_loss | 1 |'
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)
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assert backtesting._generate_text_table_sell_reason(
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data={'ETH/BTC': {}}, results=results) == result_str
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def test_backtesting_start(default_conf, mocker, caplog) -> None:
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"""
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Test Backtesting.start() method
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@ -514,7 +544,9 @@ def test_backtest(default_conf, fee, mocker) -> None:
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'trade_duration': [240, 50],
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'open_at_end': [False, False],
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'open_rate': [0.104445, 0.10302485],
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'close_rate': [0.105, 0.10359999]})
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'close_rate': [0.105, 0.10359999],
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'sell_reason': [SellType.ROI, SellType.ROI]
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})
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pd.testing.assert_frame_equal(results, expected)
|
||||
data_pair = data_processed[pair]
|
||||
for _, t in results.iterrows():
|
||||
@ -660,7 +692,9 @@ def test_backtest_record(default_conf, fee, mocker):
|
||||
"open_index": [1, 119, 153, 185],
|
||||
"close_index": [118, 151, 184, 199],
|
||||
"trade_duration": [123, 34, 31, 14],
|
||||
"open_at_end": [False, False, False, True]
|
||||
"open_at_end": [False, False, False, True],
|
||||
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
|
||||
SellType.ROI, SellType.FORCE_SELL]
|
||||
})
|
||||
backtesting._store_backtest_result("backtest-result.json", results)
|
||||
assert len(results) == 4
|
||||
@ -673,7 +707,7 @@ def test_backtest_record(default_conf, fee, mocker):
|
||||
# Below follows just a typecheck of the schema/type of trade-records
|
||||
oix = None
|
||||
for (pair, profit, date_buy, date_sell, buy_index, dur,
|
||||
openr, closer, open_at_end) in records:
|
||||
openr, closer, open_at_end, sell_reason) in records:
|
||||
assert pair == 'UNITTEST/BTC'
|
||||
assert isinstance(profit, float)
|
||||
# FIX: buy/sell should be converted to ints
|
||||
@ -682,6 +716,7 @@ def test_backtest_record(default_conf, fee, mocker):
|
||||
assert isinstance(openr, float)
|
||||
assert isinstance(closer, float)
|
||||
assert isinstance(open_at_end, bool)
|
||||
assert isinstance(sell_reason, str)
|
||||
isinstance(buy_index, pd._libs.tslib.Timestamp)
|
||||
if oix:
|
||||
assert buy_index > oix
|
||||
|
@ -20,6 +20,7 @@ from freqtrade.freqtradebot import FreqtradeBot
|
||||
from freqtrade.persistence import Trade
|
||||
from freqtrade.rpc import RPCMessageType
|
||||
from freqtrade.state import State
|
||||
from freqtrade.strategy.interface import SellType, SellCheckTuple
|
||||
from freqtrade.tests.conftest import log_has, patch_coinmarketcap, patch_exchange
|
||||
|
||||
|
||||
@ -1369,7 +1370,7 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, markets, moc
|
||||
get_ticker=ticker_sell_up
|
||||
)
|
||||
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'])
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
|
||||
|
||||
assert rpc_mock.call_count == 2
|
||||
last_msg = rpc_mock.call_args_list[-1][0][0]
|
||||
@ -1421,7 +1422,8 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, markets,
|
||||
get_ticker=ticker_sell_down
|
||||
)
|
||||
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_down()['bid'])
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_down()['bid'],
|
||||
sell_reason=SellType.STOP_LOSS)
|
||||
|
||||
assert rpc_mock.call_count == 2
|
||||
last_msg = rpc_mock.call_args_list[-1][0][0]
|
||||
@ -1474,7 +1476,7 @@ def test_execute_sell_without_conf_sell_up(default_conf, ticker, fee,
|
||||
)
|
||||
freqtrade.config = {}
|
||||
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'])
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
|
||||
|
||||
assert rpc_mock.call_count == 2
|
||||
last_msg = rpc_mock.call_args_list[-1][0][0]
|
||||
@ -1524,7 +1526,8 @@ def test_execute_sell_without_conf_sell_down(default_conf, ticker, fee,
|
||||
)
|
||||
|
||||
freqtrade.config = {}
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_down()['bid'])
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_down()['bid'],
|
||||
sell_reason=SellType.STOP_LOSS)
|
||||
|
||||
assert rpc_mock.call_count == 2
|
||||
last_msg = rpc_mock.call_args_list[-1][0][0]
|
||||
@ -1577,6 +1580,7 @@ def test_sell_profit_only_enable_profit(default_conf, limit_buy_order,
|
||||
trade.update(limit_buy_order)
|
||||
patch_get_signal(freqtrade, value=(False, True))
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
assert trade.sell_reason == SellType.SELL_SIGNAL.value
|
||||
|
||||
|
||||
def test_sell_profit_only_disable_profit(default_conf, limit_buy_order,
|
||||
@ -1612,6 +1616,7 @@ def test_sell_profit_only_disable_profit(default_conf, limit_buy_order,
|
||||
trade.update(limit_buy_order)
|
||||
patch_get_signal(freqtrade, value=(False, True))
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
assert trade.sell_reason == SellType.SELL_SIGNAL.value
|
||||
|
||||
|
||||
def test_sell_profit_only_enable_loss(default_conf, limit_buy_order, fee, markets, mocker) -> None:
|
||||
@ -1640,7 +1645,8 @@ def test_sell_profit_only_enable_loss(default_conf, limit_buy_order, fee, market
|
||||
freqtrade = FreqtradeBot(conf)
|
||||
patch_get_signal(freqtrade)
|
||||
freqtrade.strategy.stop_loss_reached = \
|
||||
lambda current_rate, trade, current_time, current_profit: False
|
||||
lambda current_rate, trade, current_time, current_profit: SellCheckTuple(
|
||||
sell_flag=False, sell_type=SellType.NONE)
|
||||
freqtrade.create_trade()
|
||||
|
||||
trade = Trade.query.first()
|
||||
@ -1684,6 +1690,7 @@ def test_sell_profit_only_disable_loss(default_conf, limit_buy_order, fee, marke
|
||||
trade.update(limit_buy_order)
|
||||
patch_get_signal(freqtrade, value=(False, True))
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
assert trade.sell_reason == SellType.SELL_SIGNAL.value
|
||||
|
||||
|
||||
def test_ignore_roi_if_buy_signal(default_conf, limit_buy_order, fee, markets, mocker) -> None:
|
||||
@ -1724,6 +1731,7 @@ def test_ignore_roi_if_buy_signal(default_conf, limit_buy_order, fee, markets, m
|
||||
# Test if buy-signal is absent (should sell due to roi = true)
|
||||
patch_get_signal(freqtrade, value=(False, True))
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
assert trade.sell_reason == SellType.ROI.value
|
||||
|
||||
|
||||
def test_trailing_stop_loss(default_conf, limit_buy_order, fee, markets, caplog, mocker) -> None:
|
||||
@ -1762,6 +1770,7 @@ def test_trailing_stop_loss(default_conf, limit_buy_order, fee, markets, caplog,
|
||||
assert log_has(
|
||||
f'HIT STOP: current price at 0.000001, stop loss is {trade.stop_loss:.6f}, '
|
||||
f'initial stop loss was at 0.000010, trade opened at 0.000011', caplog.record_tuples)
|
||||
assert trade.sell_reason == SellType.TRAILING_STOP_LOSS.value
|
||||
|
||||
|
||||
def test_trailing_stop_loss_positive(default_conf, limit_buy_order, fee, markets,
|
||||
@ -1825,6 +1834,7 @@ def test_trailing_stop_loss_positive(default_conf, limit_buy_order, fee, markets
|
||||
f'HIT STOP: current price at {buy_price + 0.000002:.6f}, '
|
||||
f'stop loss is {trade.stop_loss:.6f}, '
|
||||
f'initial stop loss was at 0.000010, trade opened at 0.000011', caplog.record_tuples)
|
||||
assert trade.sell_reason == SellType.TRAILING_STOP_LOSS.value
|
||||
|
||||
|
||||
def test_disable_ignore_roi_if_buy_signal(default_conf, limit_buy_order,
|
||||
@ -1867,6 +1877,7 @@ def test_disable_ignore_roi_if_buy_signal(default_conf, limit_buy_order,
|
||||
# Test if buy-signal is absent
|
||||
patch_get_signal(freqtrade, value=(False, True))
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
assert trade.sell_reason == SellType.STOP_LOSS.value
|
||||
|
||||
|
||||
def test_get_real_amount_quote(default_conf, trades_for_order, buy_order_fee, caplog, mocker):
|
||||
|
@ -465,6 +465,9 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
|
||||
assert trade.max_rate == 0.0
|
||||
assert trade.stop_loss == 0.0
|
||||
assert trade.initial_stop_loss == 0.0
|
||||
assert trade.sell_reason is None
|
||||
assert trade.strategy is None
|
||||
assert trade.ticker_interval is None
|
||||
assert log_has("trying trades_bak1", caplog.record_tuples)
|
||||
assert log_has("trying trades_bak2", caplog.record_tuples)
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user