diff --git a/docs/configuration.md b/docs/configuration.md index 38d55f251..368eb7ce7 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -204,9 +204,8 @@ There are several methods to configure how much of the stake currency the bot wi #### Minimum trade stake The minimum stake amount will depend on exchange and pair and is usually listed in the exchange support pages. -Assuming the minimum tradable amount for XRP/USD is 20 XRP (given by the exchange), and the price is 0.6$. -The minimum stake amount to buy this pair is, therefore, `20 * 0.6 ~= 12`. +Assuming the minimum tradable amount for XRP/USD is 20 XRP (given by the exchange), and the price is 0.6$, the minimum stake amount to buy this pair is `20 * 0.6 ~= 12`. This exchange has also a limit on USD - where all orders must be > 10$ - which however does not apply in this case. To guarantee safe execution, freqtrade will not allow buying with a stake-amount of 10.1$, instead, it'll make sure that there's enough space to place a stoploss below the pair (+ an offset, defined by `amount_reserve_percent`, which defaults to 5%). diff --git a/docs/includes/pairlists.md b/docs/includes/pairlists.md index 4f56f8e98..bbfe74510 100644 --- a/docs/includes/pairlists.md +++ b/docs/includes/pairlists.md @@ -292,7 +292,7 @@ If the trading range over the last 10 days is <1% or >99%, remove the pair from #### VolatilityFilter -Volatility is the degree of historical variation of a pairs over time, is is measured by the standard deviation of logarithmic daily returns. Returns are assumed to be normally distributed, although actual distribution might be different. In a normal distribution, 68% of observations fall within one standard deviation and 95% of observations fall within two standard deviations. Assuming a volatility of 0.05 means that the expected returns for 20 out of 30 days is expected to be less than 5% (one standard deviation). Volatility is a positive ratio of the expected deviation of return and can be greater than 1.00. Please refer to the wikipedia definition of [`volatility`](https://en.wikipedia.org/wiki/Volatility_(finance)). +Volatility is the degree of historical variation of a pairs over time, it is measured by the standard deviation of logarithmic daily returns. Returns are assumed to be normally distributed, although actual distribution might be different. In a normal distribution, 68% of observations fall within one standard deviation and 95% of observations fall within two standard deviations. Assuming a volatility of 0.05 means that the expected returns for 20 out of 30 days is expected to be less than 5% (one standard deviation). Volatility is a positive ratio of the expected deviation of return and can be greater than 1.00. Please refer to the wikipedia definition of [`volatility`](https://en.wikipedia.org/wiki/Volatility_(finance)). This filter removes pairs if the average volatility over a `lookback_days` days is below `min_volatility` or above `max_volatility`. Since this is a filter that requires additional data, the results are cached for `refresh_period`. diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 9bf9b5e0e..65414022e 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -70,7 +70,7 @@ class Backtesting: self.all_results: Dict[str, Dict] = {} self._exchange_name = self.config['exchange']['name'] self.exchange = ExchangeResolver.load_exchange(self._exchange_name, self.config) - self.dataprovider = DataProvider(self.config, None) + self.dataprovider = DataProvider(self.config, self.exchange) if self.config.get('strategy_list', None): for strat in list(self.config['strategy_list']): diff --git a/freqtrade/rpc/api_server/api_schemas.py b/freqtrade/rpc/api_server/api_schemas.py index d6a861011..2b4164d6b 100644 --- a/freqtrade/rpc/api_server/api_schemas.py +++ b/freqtrade/rpc/api_server/api_schemas.py @@ -144,6 +144,7 @@ class OrderTypes(BaseModel): class ShowConfig(BaseModel): version: str + api_version: float dry_run: bool trading_mode: str short_allowed: bool diff --git a/freqtrade/rpc/api_server/api_v1.py b/freqtrade/rpc/api_server/api_v1.py index 06230a7db..0467e4705 100644 --- a/freqtrade/rpc/api_server/api_v1.py +++ b/freqtrade/rpc/api_server/api_v1.py @@ -26,6 +26,11 @@ from freqtrade.rpc.rpc import RPCException logger = logging.getLogger(__name__) +# API version +# Pre-1.1, no version was provided +# Version increments should happen in "small" steps (1.1, 1.12, ...) unless big changes happen. +API_VERSION = 1.1 + # Public API, requires no auth. router_public = APIRouter() # Private API, protected by authentication @@ -117,7 +122,9 @@ def show_config(rpc: Optional[RPC] = Depends(get_rpc_optional), config=Depends(g state = '' if rpc: state = rpc._freqtrade.state - return RPC._rpc_show_config(config, state) + resp = RPC._rpc_show_config(config, state) + resp['api_version'] = API_VERSION + return resp @router.post('/forcebuy', response_model=ForceBuyResponse, tags=['trading']) diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py index 0e1a6fe27..6c6f745e7 100644 --- a/freqtrade/rpc/telegram.py +++ b/freqtrade/rpc/telegram.py @@ -274,11 +274,11 @@ class Telegram(RPCHandler): f"*Buy Tag:* `{msg['buy_tag']}`\n" f"*Sell Reason:* `{msg['sell_reason']}`\n" f"*Duration:* `{msg['duration']} ({msg['duration_min']:.1f} min)`\n" - f"*Amount:* `{msg['amount']:.8f}`\n") + f"*Amount:* `{msg['amount']:.8f}`\n" + f"*Open Rate:* `{msg['open_rate']:.8f}`\n") if msg['type'] == RPCMessageType.SELL: - message += (f"*Open Rate:* `{msg['open_rate']:.8f}`\n" - f"*Current Rate:* `{msg['current_rate']:.8f}`\n" + message += (f"*Current Rate:* `{msg['current_rate']:.8f}`\n" f"*Close Rate:* `{msg['limit']:.8f}`") elif msg['type'] == RPCMessageType.SELL_FILL: diff --git a/freqtrade/strategy/informative_decorator.py b/freqtrade/strategy/informative_decorator.py index 4c5f21108..722e7a128 100644 --- a/freqtrade/strategy/informative_decorator.py +++ b/freqtrade/strategy/informative_decorator.py @@ -80,12 +80,11 @@ def _create_and_merge_informative_pair(strategy, dataframe: DataFrame, metadata: # Not specifying an asset will define informative dataframe for current pair. asset = metadata['pair'] - if '/' in asset: - base, quote = asset.split('/') - else: - # When futures are supported this may need reevaluation. - # base, quote = asset, '' - raise OperationalException('Not implemented.') + market = strategy.dp.market(asset) + if market is None: + raise OperationalException(f'Market {asset} is not available.') + base = market['base'] + quote = market['quote'] # Default format. This optimizes for the common case: informative pairs using same stake # currency. When quote currency matches stake currency, column name will omit base currency. diff --git a/requirements-dev.txt b/requirements-dev.txt index ab06468b9..4c06e657b 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -20,7 +20,7 @@ time-machine==2.4.0 nbconvert==6.3.0 # mypy types -types-cachetools==4.2.4 +types-cachetools==4.2.5 types-filelock==3.2.1 types-requests==2.26.0 types-tabulate==0.8.3 diff --git a/requirements-hyperopt.txt b/requirements-hyperopt.txt index 7efbb47cd..a3da8f0be 100644 --- a/requirements-hyperopt.txt +++ b/requirements-hyperopt.txt @@ -5,7 +5,7 @@ scipy==1.7.2 scikit-learn==1.0.1 scikit-optimize==0.9.0 -filelock==3.3.2 +filelock==3.4.0 joblib==1.1.0 psutil==5.8.0 progressbar2==3.55.0 diff --git a/requirements-plot.txt b/requirements-plot.txt index 8e17232b0..488ef73d6 100644 --- a/requirements-plot.txt +++ b/requirements-plot.txt @@ -1,5 +1,5 @@ # Include all requirements to run the bot. -r requirements.txt -plotly==5.3.1 +plotly==5.4.0 diff --git a/requirements.txt b/requirements.txt index bf0cbc88f..372a4f688 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,10 +2,10 @@ numpy==1.21.4 pandas==1.3.4 pandas-ta==0.3.14b -ccxt==1.61.24 +ccxt==1.61.92 # Pin cryptography for now due to rust build errors with piwheels -cryptography==35.0.0 -aiohttp==3.7.4.post0 +cryptography==36.0.0 +aiohttp==3.8.1 SQLAlchemy==1.4.27 python-telegram-bot==13.8.1 arrow==1.2.1 diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py index f2096c0c0..177750ff6 100644 --- a/tests/rpc/test_rpc_apiserver.py +++ b/tests/rpc/test_rpc_apiserver.py @@ -541,6 +541,8 @@ def test_api_show_config(botclient): assert 'ask_strategy' in response assert 'unfilledtimeout' in response assert 'version' in response + assert 'api_version' in response + assert 1.1 <= response['api_version'] <= 1.2 def test_api_daily(botclient, mocker, ticker, fee, markets): diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py index f64f05ddd..36ad304d1 100644 --- a/tests/rpc/test_rpc_telegram.py +++ b/tests/rpc/test_rpc_telegram.py @@ -1847,6 +1847,7 @@ def test_send_msg_sell_fill_notification(default_conf, mocker) -> None: '*Sell Reason:* `stop_loss`\n' '*Duration:* `1 day, 2:30:00 (1590.0 min)`\n' '*Amount:* `1333.33333333`\n' + '*Open Rate:* `0.00007500`\n' '*Close Rate:* `0.00003201`' ) diff --git a/tests/strategy/strats/informative_decorator_strategy.py b/tests/strategy/strats/informative_decorator_strategy.py index 68f8651c2..e8d535c60 100644 --- a/tests/strategy/strats/informative_decorator_strategy.py +++ b/tests/strategy/strats/informative_decorator_strategy.py @@ -19,7 +19,7 @@ class InformativeDecoratorTest(IStrategy): startup_candle_count: int = 20 def informative_pairs(self): - return [('BTC/USDT', '5m')] + return [('NEO/USDT', '5m')] def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['buy'] = 0 @@ -37,8 +37,8 @@ class InformativeDecoratorTest(IStrategy): return dataframe # Simple informative test. - @informative('1h', 'BTC/{stake}') - def populate_indicators_btc_1h(self, dataframe: DataFrame, metadata: dict) -> DataFrame: + @informative('1h', 'NEO/{stake}') + def populate_indicators_neo_1h(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['rsi'] = 14 return dataframe @@ -49,7 +49,7 @@ class InformativeDecoratorTest(IStrategy): return dataframe # Formatting test. - @informative('30m', 'BTC/{stake}', '{column}_{BASE}_{QUOTE}_{base}_{quote}_{asset}_{timeframe}') + @informative('30m', 'NEO/{stake}', '{column}_{BASE}_{QUOTE}_{base}_{quote}_{asset}_{timeframe}') def populate_indicators_btc_1h_2(self, dataframe: DataFrame, metadata: dict) -> DataFrame: dataframe['rsi'] = 14 return dataframe @@ -67,7 +67,7 @@ class InformativeDecoratorTest(IStrategy): dataframe['rsi_less'] = dataframe['rsi'] < dataframe['rsi_1h'] # Mixing manual informative pairs with decorators. - informative = self.dp.get_pair_dataframe('BTC/USDT', '5m') + informative = self.dp.get_pair_dataframe('NEO/USDT', '5m') informative['rsi'] = 14 dataframe = merge_informative_pair(dataframe, informative, self.timeframe, '5m', ffill=True) diff --git a/tests/strategy/test_strategy_helpers.py b/tests/strategy/test_strategy_helpers.py index cb7cf97a1..9e546869a 100644 --- a/tests/strategy/test_strategy_helpers.py +++ b/tests/strategy/test_strategy_helpers.py @@ -7,6 +7,7 @@ import pytest from freqtrade.data.dataprovider import DataProvider from freqtrade.strategy import (merge_informative_pair, stoploss_from_absolute, stoploss_from_open, timeframe_to_minutes) +from tests.conftest import get_patched_exchange def generate_test_data(timeframe: str, size: int, start: str = '2020-07-05'): @@ -155,9 +156,9 @@ def test_informative_decorator(mocker, default_conf): ('LTC/USDT', '5m'): test_data_5m, ('LTC/USDT', '30m'): test_data_30m, ('LTC/USDT', '1h'): test_data_1h, - ('BTC/USDT', '30m'): test_data_30m, - ('BTC/USDT', '5m'): test_data_5m, - ('BTC/USDT', '1h'): test_data_1h, + ('NEO/USDT', '30m'): test_data_30m, + ('NEO/USDT', '5m'): test_data_5m, + ('NEO/USDT', '1h'): test_data_1h, ('ETH/USDT', '1h'): test_data_1h, ('ETH/USDT', '30m'): test_data_30m, ('ETH/BTC', '1h'): test_data_1h, @@ -165,15 +166,16 @@ def test_informative_decorator(mocker, default_conf): from .strats.informative_decorator_strategy import InformativeDecoratorTest default_conf['stake_currency'] = 'USDT' strategy = InformativeDecoratorTest(config=default_conf) - strategy.dp = DataProvider({}, None, None) + exchange = get_patched_exchange(mocker, default_conf) + strategy.dp = DataProvider({}, exchange, None) mocker.patch.object(strategy.dp, 'current_whitelist', return_value=[ - 'XRP/USDT', 'LTC/USDT', 'BTC/USDT' + 'XRP/USDT', 'LTC/USDT', 'NEO/USDT' ]) assert len(strategy._ft_informative) == 6 # Equal to number of decorators used informative_pairs = [('XRP/USDT', '1h'), ('LTC/USDT', '1h'), ('XRP/USDT', '30m'), - ('LTC/USDT', '30m'), ('BTC/USDT', '1h'), ('BTC/USDT', '30m'), - ('BTC/USDT', '5m'), ('ETH/BTC', '1h'), ('ETH/USDT', '30m')] + ('LTC/USDT', '30m'), ('NEO/USDT', '1h'), ('NEO/USDT', '30m'), + ('NEO/USDT', '5m'), ('ETH/BTC', '1h'), ('ETH/USDT', '30m')] for inf_pair in informative_pairs: assert inf_pair in strategy.gather_informative_pairs() @@ -186,8 +188,8 @@ def test_informative_decorator(mocker, default_conf): {p: data[(p, strategy.timeframe)] for p in ('XRP/USDT', 'LTC/USDT')}) expected_columns = [ 'rsi_1h', 'rsi_30m', # Stacked informative decorators - 'btc_usdt_rsi_1h', # BTC 1h informative - 'rsi_BTC_USDT_btc_usdt_BTC/USDT_30m', # Column formatting + 'neo_usdt_rsi_1h', # NEO 1h informative + 'rsi_NEO_USDT_neo_usdt_NEO/USDT_30m', # Column formatting 'rsi_from_callable', # Custom column formatter 'eth_btc_rsi_1h', # Quote currency not matching stake currency 'rsi', 'rsi_less', # Non-informative columns