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Merge pull request #1330 from freqtrade/feat/diff_order_types
Add support for different order types
This commit is contained in:
commit
d72e605cb7
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@ -33,6 +33,11 @@
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"order_book_min": 1,
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"order_book_max": 9
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},
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"order_types": {
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"buy": "limit",
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"sell": "limit",
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"stoploss": "market"
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},
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"exchange": {
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"name": "bittrex",
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"key": "your_exchange_key",
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@ -39,6 +39,7 @@ The table below will list all configuration parameters.
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| `ask_strategy.use_order_book` | false | No | Allows selling of open traded pair using the rates in Order Book Asks.
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| `ask_strategy.order_book_min` | 0 | No | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
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| `ask_strategy.order_book_max` | 0 | No | Bot will scan from the top min to max Order Book Asks searching for a profitable rate.
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| `order_types` | None | No | Configure order-types depending on the action (`"buy"`, `"sell"`, `"stoploss"`).
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| `exchange.name` | bittrex | Yes | Name of the exchange class to use. [List below](#user-content-what-values-for-exchangename).
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| `exchange.key` | key | No | API key to use for the exchange. Only required when you are in production mode.
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| `exchange.secret` | secret | No | API secret to use for the exchange. Only required when you are in production mode.
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@ -138,6 +139,22 @@ use the `last` price and values between those interpolate between ask and last
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price. Using `ask` price will guarantee quick success in bid, but bot will also
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end up paying more then would probably have been necessary.
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### Understand order_types
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`order_types` contains a dict mapping order-types to market-types. This allows to buy using limit orders, sell using limit-orders, and create stoploss orders using market.
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This can be set in the configuration or in the strategy. Configuration overwrites strategy configurations.
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If this is configured, all 3 values (`"buy"`, `"sell"` and `"stoploss"`) need to be present, otherwise the bot warn about it and will fail to start.
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The below is the default which is used if this is not configured in either Strategy or configuration.
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``` json
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"order_types": {
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"buy": "limit",
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"sell": "limit",
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"stoploss": "market"
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},
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```
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### What values for exchange.name?
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Freqtrade is based on [CCXT library](https://github.com/ccxt/ccxt) that supports 115 cryptocurrency
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@ -12,6 +12,8 @@ DEFAULT_STRATEGY = 'DefaultStrategy'
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DEFAULT_DB_PROD_URL = 'sqlite:///tradesv3.sqlite'
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DEFAULT_DB_DRYRUN_URL = 'sqlite://'
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UNLIMITED_STAKE_AMOUNT = 'unlimited'
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REQUIRED_ORDERTYPES = ['buy', 'sell', 'stoploss']
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ORDERTYPE_POSSIBILITIES = ['limit', 'market']
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TICKER_INTERVAL_MINUTES = {
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@ -101,6 +103,15 @@ CONF_SCHEMA = {
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'order_book_max': {'type': 'number', 'minimum': 1, 'maximum': 50}
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}
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},
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'order_types': {
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'type': 'object',
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'properties': {
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'buy': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES},
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'sell': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES},
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'stoploss': {'type': 'string', 'enum': ORDERTYPE_POSSIBILITIES}
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},
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'required': ['buy', 'sell', 'stoploss']
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},
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'exchange': {'$ref': '#/definitions/exchange'},
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'edge': {'$ref': '#/definitions/edge'},
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'experimental': {
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@ -102,7 +102,7 @@ class Exchange(object):
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self.markets = self._load_markets()
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# Check if all pairs are available
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self.validate_pairs(config['exchange']['pair_whitelist'])
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self.validate_ordertypes(config.get('order_types', {}))
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if config.get('ticker_interval'):
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# Check if timeframe is available
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self.validate_timeframes(config['ticker_interval'])
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@ -218,6 +218,15 @@ class Exchange(object):
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raise OperationalException(
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f'Invalid ticker {timeframe}, this Exchange supports {timeframes}')
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def validate_ordertypes(self, order_types: Dict) -> None:
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"""
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Checks if order-types configured in strategy/config are supported
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"""
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if any(v == 'market' for k, v in order_types.items()):
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if not self.exchange_has('createMarketOrder'):
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raise OperationalException(
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f'Exchange {self.name} does not support market orders.')
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def exchange_has(self, endpoint: str) -> bool:
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"""
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Checks if exchange implements a specific API endpoint.
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@ -249,14 +258,14 @@ class Exchange(object):
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price = ceil(big_price) / pow(10, symbol_prec)
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return price
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def buy(self, pair: str, rate: float, amount: float) -> Dict:
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def buy(self, pair: str, ordertype: str, amount: float, rate: float) -> Dict:
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if self._conf['dry_run']:
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order_id = f'dry_run_buy_{randint(0, 10**6)}'
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self._dry_run_open_orders[order_id] = {
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'pair': pair,
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'price': rate,
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'amount': amount,
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'type': 'limit',
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'type': ordertype,
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'side': 'buy',
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'remaining': 0.0,
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'datetime': arrow.utcnow().isoformat(),
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@ -268,9 +277,9 @@ class Exchange(object):
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try:
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# Set the precision for amount and price(rate) as accepted by the exchange
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amount = self.symbol_amount_prec(pair, amount)
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rate = self.symbol_price_prec(pair, rate)
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rate = self.symbol_price_prec(pair, rate) if ordertype != 'market' else None
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return self._api.create_limit_buy_order(pair, amount, rate)
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return self._api.create_order(pair, ordertype, 'buy', amount, rate)
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except ccxt.InsufficientFunds as e:
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raise DependencyException(
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f'Insufficient funds to create limit buy order on market {pair}.'
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@ -287,14 +296,14 @@ class Exchange(object):
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except ccxt.BaseError as e:
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raise OperationalException(e)
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def sell(self, pair: str, rate: float, amount: float) -> Dict:
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def sell(self, pair: str, ordertype: str, amount: float, rate: float) -> Dict:
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if self._conf['dry_run']:
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order_id = f'dry_run_sell_{randint(0, 10**6)}'
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self._dry_run_open_orders[order_id] = {
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'pair': pair,
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'price': rate,
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'amount': amount,
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'type': 'limit',
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'type': ordertype,
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'side': 'sell',
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'remaining': 0.0,
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'datetime': arrow.utcnow().isoformat(),
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@ -305,9 +314,9 @@ class Exchange(object):
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try:
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# Set the precision for amount and price(rate) as accepted by the exchange
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amount = self.symbol_amount_prec(pair, amount)
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rate = self.symbol_price_prec(pair, rate)
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rate = self.symbol_price_prec(pair, rate) if ordertype != 'market' else None
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return self._api.create_limit_sell_order(pair, amount, rate)
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return self._api.create_order(pair, ordertype, 'sell', amount, rate)
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except ccxt.InsufficientFunds as e:
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raise DependencyException(
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f'Insufficient funds to create limit sell order on market {pair}.'
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@ -475,7 +475,8 @@ class FreqtradeBot(object):
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amount = stake_amount / buy_limit
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order_id = self.exchange.buy(pair, buy_limit, amount)['id']
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order_id = self.exchange.buy(pair=pair, ordertype=self.strategy.order_types['buy'],
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amount=amount, rate=buy_limit)['id']
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self.rpc.send_msg({
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'type': RPCMessageType.BUY_NOTIFICATION,
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@ -762,8 +763,13 @@ class FreqtradeBot(object):
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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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sell_type = 'sell'
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if sell_reason in (SellType.STOP_LOSS, SellType.TRAILING_STOP_LOSS):
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sell_type = 'stoploss'
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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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order_id = self.exchange.sell(pair=str(trade.pair),
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ordertype=self.strategy.order_types[sell_type],
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amount=trade.amount, rate=limit)['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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@ -28,6 +28,13 @@ class DefaultStrategy(IStrategy):
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# Optimal ticker interval for the strategy
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ticker_interval = '5m'
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# Optional order type mapping
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order_types = {
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit'
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}
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def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
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"""
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Adds several different TA indicators to the given DataFrame
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@ -70,6 +70,13 @@ class IStrategy(ABC):
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# associated ticker interval
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ticker_interval: str
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# Optional order types
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order_types: Dict = {
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'buy': 'limit',
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'sell': 'limit',
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'stoploss': 'limit'
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}
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# run "populate_indicators" only for new candle
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process_only_new_candles: bool = False
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@ -75,6 +75,19 @@ class StrategyResolver(object):
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else:
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config['process_only_new_candles'] = self.strategy.process_only_new_candles
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if 'order_types' in config:
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self.strategy.order_types = config['order_types']
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logger.info(
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"Override strategy 'order_types' with value in config file: %s.",
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config['order_types']
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)
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else:
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config['order_types'] = self.strategy.order_types
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if not all(k in self.strategy.order_types for k in constants.REQUIRED_ORDERTYPES):
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raise ImportError(f"Impossible to load Strategy '{self.strategy.__class__.__name__}'. "
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f"Order-types mapping is incomplete.")
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# Sort and apply type conversions
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self.strategy.minimal_roi = OrderedDict(sorted(
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{int(key): value for (key, value) in self.strategy.minimal_roi.items()}.items(),
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@ -30,6 +30,7 @@ def log_has(line, logs):
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def patch_exchange(mocker, api_mock=None) -> None:
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mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
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mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
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mocker.patch('freqtrade.exchange.Exchange.validate_ordertypes', MagicMock())
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mocker.patch('freqtrade.exchange.Exchange.name', PropertyMock(return_value="Bittrex"))
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mocker.patch('freqtrade.exchange.Exchange.id', PropertyMock(return_value="bittrex"))
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if api_mock:
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@ -355,6 +355,36 @@ def test_validate_timeframes_not_in_config(default_conf, mocker):
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Exchange(default_conf)
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def test_validate_order_types(default_conf, mocker):
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api_mock = MagicMock()
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type(api_mock).has = PropertyMock(return_value={'createMarketOrder': True})
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mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
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mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
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mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
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default_conf['order_types'] = {'buy': 'limit', 'sell': 'limit', 'stoploss': 'market'}
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Exchange(default_conf)
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type(api_mock).has = PropertyMock(return_value={'createMarketOrder': False})
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mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
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default_conf['order_types'] = {'buy': 'limit', 'sell': 'limit', 'stoploss': 'market'}
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with pytest.raises(OperationalException,
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match=r'Exchange .* does not support market orders.'):
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Exchange(default_conf)
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def test_validate_order_types_not_in_config(default_conf, mocker):
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api_mock = MagicMock()
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mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
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mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
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mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
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conf = copy.deepcopy(default_conf)
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Exchange(conf)
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def test_exchange_has(default_conf, mocker):
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exchange = get_patched_exchange(mocker, default_conf)
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assert not exchange.exchange_has('ASDFASDF')
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@ -373,7 +403,7 @@ def test_buy_dry_run(default_conf, mocker):
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default_conf['dry_run'] = True
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exchange = get_patched_exchange(mocker, default_conf)
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order = exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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order = exchange.buy(pair='ETH/BTC', ordertype='limit', amount=1, rate=200)
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assert 'id' in order
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assert 'dry_run_buy_' in order['id']
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@ -381,47 +411,64 @@ def test_buy_dry_run(default_conf, mocker):
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def test_buy_prod(default_conf, mocker):
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api_mock = MagicMock()
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order_id = 'test_prod_buy_{}'.format(randint(0, 10 ** 6))
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api_mock.create_limit_buy_order = MagicMock(return_value={
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order_type = 'market'
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api_mock.create_order = MagicMock(return_value={
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'id': order_id,
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'info': {
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'foo': 'bar'
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}
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})
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default_conf['dry_run'] = False
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mocker.patch('freqtrade.exchange.Exchange.symbol_amount_prec', lambda s, x, y: y)
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mocker.patch('freqtrade.exchange.Exchange.symbol_price_prec', lambda s, x, y: y)
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exchange = get_patched_exchange(mocker, default_conf, api_mock)
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order = exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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order = exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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assert 'id' in order
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assert 'info' in order
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assert order['id'] == order_id
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assert api_mock.create_order.call_args[0][0] == 'ETH/BTC'
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assert api_mock.create_order.call_args[0][1] == order_type
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assert api_mock.create_order.call_args[0][2] == 'buy'
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assert api_mock.create_order.call_args[0][3] == 1
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assert api_mock.create_order.call_args[0][4] is None
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api_mock.create_order.reset_mock()
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order_type = 'limit'
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order = exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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assert api_mock.create_order.call_args[0][0] == 'ETH/BTC'
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assert api_mock.create_order.call_args[0][1] == order_type
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assert api_mock.create_order.call_args[0][2] == 'buy'
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assert api_mock.create_order.call_args[0][3] == 1
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assert api_mock.create_order.call_args[0][4] == 200
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# test exception handling
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with pytest.raises(DependencyException):
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api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.InsufficientFunds)
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api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds)
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exchange = get_patched_exchange(mocker, default_conf, api_mock)
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exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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with pytest.raises(DependencyException):
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api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.InvalidOrder)
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api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder)
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exchange = get_patched_exchange(mocker, default_conf, api_mock)
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exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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with pytest.raises(TemporaryError):
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api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.NetworkError)
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api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError)
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exchange = get_patched_exchange(mocker, default_conf, api_mock)
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exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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with pytest.raises(OperationalException):
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api_mock.create_limit_buy_order = MagicMock(side_effect=ccxt.BaseError)
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api_mock.create_order = MagicMock(side_effect=ccxt.BaseError)
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exchange = get_patched_exchange(mocker, default_conf, api_mock)
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exchange.buy(pair='ETH/BTC', rate=200, amount=1)
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exchange.buy(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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def test_sell_dry_run(default_conf, mocker):
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default_conf['dry_run'] = True
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exchange = get_patched_exchange(mocker, default_conf)
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||||
order = exchange.sell(pair='ETH/BTC', rate=200, amount=1)
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order = exchange.sell(pair='ETH/BTC', ordertype='limit', amount=1, rate=200)
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assert 'id' in order
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assert 'dry_run_sell_' in order['id']
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|
@ -429,7 +476,8 @@ def test_sell_dry_run(default_conf, mocker):
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def test_sell_prod(default_conf, mocker):
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api_mock = MagicMock()
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order_id = 'test_prod_sell_{}'.format(randint(0, 10 ** 6))
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api_mock.create_limit_sell_order = MagicMock(return_value={
|
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order_type = 'market'
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||||
api_mock.create_order = MagicMock(return_value={
|
||||
'id': order_id,
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||||
'info': {
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||||
'foo': 'bar'
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||||
|
@ -438,32 +486,48 @@ def test_sell_prod(default_conf, mocker):
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|||
default_conf['dry_run'] = False
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||||
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||||
exchange = get_patched_exchange(mocker, default_conf, api_mock)
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||||
mocker.patch('freqtrade.exchange.Exchange.symbol_amount_prec', lambda s, x, y: y)
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||||
mocker.patch('freqtrade.exchange.Exchange.symbol_price_prec', lambda s, x, y: y)
|
||||
|
||||
order = exchange.sell(pair='ETH/BTC', rate=200, amount=1)
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||||
order = exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
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||||
assert 'id' in order
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||||
assert 'info' in order
|
||||
assert order['id'] == order_id
|
||||
assert api_mock.create_order.call_args[0][0] == 'ETH/BTC'
|
||||
assert api_mock.create_order.call_args[0][1] == order_type
|
||||
assert api_mock.create_order.call_args[0][2] == 'sell'
|
||||
assert api_mock.create_order.call_args[0][3] == 1
|
||||
assert api_mock.create_order.call_args[0][4] is None
|
||||
|
||||
api_mock.create_order.reset_mock()
|
||||
order_type = 'limit'
|
||||
order = exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
|
||||
assert api_mock.create_order.call_args[0][0] == 'ETH/BTC'
|
||||
assert api_mock.create_order.call_args[0][1] == order_type
|
||||
assert api_mock.create_order.call_args[0][2] == 'sell'
|
||||
assert api_mock.create_order.call_args[0][3] == 1
|
||||
assert api_mock.create_order.call_args[0][4] == 200
|
||||
|
||||
# test exception handling
|
||||
with pytest.raises(DependencyException):
|
||||
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.InsufficientFunds)
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.InsufficientFunds)
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock)
|
||||
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
|
||||
exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
|
||||
|
||||
with pytest.raises(DependencyException):
|
||||
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.InvalidOrder)
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.InvalidOrder)
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock)
|
||||
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
|
||||
exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
|
||||
|
||||
with pytest.raises(TemporaryError):
|
||||
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.NetworkError)
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.NetworkError)
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock)
|
||||
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
|
||||
exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
|
||||
|
||||
with pytest.raises(OperationalException):
|
||||
api_mock.create_limit_sell_order = MagicMock(side_effect=ccxt.BaseError)
|
||||
api_mock.create_order = MagicMock(side_effect=ccxt.BaseError)
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock)
|
||||
exchange.sell(pair='ETH/BTC', rate=200, amount=1)
|
||||
exchange.sell(pair='ETH/BTC', ordertype=order_type, amount=1, rate=200)
|
||||
|
||||
|
||||
def test_get_balance_dry_run(default_conf, mocker):
|
||||
|
|
|
@ -88,8 +88,8 @@ def test_load_strategy_invalid_directory(result, caplog):
|
|||
def test_load_not_found_strategy():
|
||||
strategy = StrategyResolver()
|
||||
with pytest.raises(ImportError,
|
||||
match=r'Impossible to load Strategy \'NotFoundStrategy\'.'
|
||||
r' This class does not exist or contains Python code errors'):
|
||||
match=r"Impossible to load Strategy 'NotFoundStrategy'."
|
||||
r" This class does not exist or contains Python code errors"):
|
||||
strategy._load_strategy(strategy_name='NotFoundStrategy', config={})
|
||||
|
||||
|
||||
|
@ -182,6 +182,42 @@ def test_strategy_override_process_only_new_candles(caplog):
|
|||
) in caplog.record_tuples
|
||||
|
||||
|
||||
def test_strategy_override_order_types(caplog):
|
||||
caplog.set_level(logging.INFO)
|
||||
|
||||
order_types = {
|
||||
'buy': 'market',
|
||||
'sell': 'limit',
|
||||
'stoploss': 'limit'
|
||||
}
|
||||
|
||||
config = {
|
||||
'strategy': 'DefaultStrategy',
|
||||
'order_types': order_types
|
||||
}
|
||||
resolver = StrategyResolver(config)
|
||||
|
||||
assert resolver.strategy.order_types
|
||||
for method in ['buy', 'sell', 'stoploss']:
|
||||
assert resolver.strategy.order_types[method] == order_types[method]
|
||||
|
||||
assert ('freqtrade.strategy.resolver',
|
||||
logging.INFO,
|
||||
"Override strategy 'order_types' with value in config file:"
|
||||
" {'buy': 'market', 'sell': 'limit', 'stoploss': 'limit'}."
|
||||
) in caplog.record_tuples
|
||||
|
||||
config = {
|
||||
'strategy': 'DefaultStrategy',
|
||||
'order_types': {'buy': 'market'}
|
||||
}
|
||||
# Raise error for invalid configuration
|
||||
with pytest.raises(ImportError,
|
||||
match=r"Impossible to load Strategy 'DefaultStrategy'. "
|
||||
r"Order-types mapping is incomplete."):
|
||||
StrategyResolver(config)
|
||||
|
||||
|
||||
def test_deprecate_populate_indicators(result):
|
||||
default_location = path.join(path.dirname(path.realpath(__file__)))
|
||||
resolver = StrategyResolver({'strategy': 'TestStrategyLegacy',
|
||||
|
|
|
@ -553,7 +553,7 @@ def test_create_trade_minimal_amount(default_conf, ticker, limit_buy_order,
|
|||
patch_get_signal(freqtrade)
|
||||
|
||||
freqtrade.create_trade()
|
||||
rate, amount = buy_mock.call_args[0][1], buy_mock.call_args[0][2]
|
||||
rate, amount = buy_mock.call_args[1]['rate'], buy_mock.call_args[1]['amount']
|
||||
assert rate * amount >= default_conf['stake_amount']
|
||||
|
||||
|
||||
|
@ -863,10 +863,10 @@ def test_execute_buy(mocker, default_conf, fee, markets, limit_buy_order) -> Non
|
|||
assert freqtrade.execute_buy(pair, stake_amount)
|
||||
assert get_bid.call_count == 1
|
||||
assert buy_mm.call_count == 1
|
||||
call_args = buy_mm.call_args_list[0][0]
|
||||
assert call_args[0] == pair
|
||||
assert call_args[1] == bid
|
||||
assert call_args[2] == stake_amount / bid
|
||||
call_args = buy_mm.call_args_list[0][1]
|
||||
assert call_args['pair'] == pair
|
||||
assert call_args['rate'] == bid
|
||||
assert call_args['amount'] == stake_amount / bid
|
||||
|
||||
# Test calling with price
|
||||
fix_price = 0.06
|
||||
|
@ -875,10 +875,10 @@ def test_execute_buy(mocker, default_conf, fee, markets, limit_buy_order) -> Non
|
|||
assert get_bid.call_count == 1
|
||||
|
||||
assert buy_mm.call_count == 2
|
||||
call_args = buy_mm.call_args_list[1][0]
|
||||
assert call_args[0] == pair
|
||||
assert call_args[1] == fix_price
|
||||
assert call_args[2] == stake_amount / fix_price
|
||||
call_args = buy_mm.call_args_list[1][1]
|
||||
assert call_args['pair'] == pair
|
||||
assert call_args['rate'] == fix_price
|
||||
assert call_args['amount'] == stake_amount / fix_price
|
||||
|
||||
|
||||
def test_process_maybe_execute_buy(mocker, default_conf) -> None:
|
||||
|
|
|
@ -48,6 +48,13 @@ class TestStrategy(IStrategy):
|
|||
# run "populate_indicators" only for new candle
|
||||
ta_on_candle = False
|
||||
|
||||
# Optional order type mapping
|
||||
order_types = {
|
||||
'buy': 'limit',
|
||||
'sell': 'limit',
|
||||
'stoploss': 'market'
|
||||
}
|
||||
|
||||
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
|
||||
"""
|
||||
Adds several different TA indicators to the given DataFrame
|
||||
|
|
Loading…
Reference in New Issue
Block a user