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Merge pull request #5855 from freqtrade/multi_ohlcv_calls 

Provide more historic data in trade mode
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Matthias 2021-11-08 19:30:40 +01:00 committed by GitHub
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5 changed files with 93 additions and 35 deletions
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10
docs/strategy-customization.md
View File

@ -134,7 +134,7 @@ Additional technical libraries can be installed as necessary, or custom indicato
### Strategy startup period
Most indicators have an instable startup period, in which they are either not available, or the calculation is incorrect. This can lead to inconsistencies, since Freqtrade does not know how long this instable period should be.
Most indicators have an instable startup period, in which they are either not available (NaN), or the calculation is incorrect. This can lead to inconsistencies, since Freqtrade does not know how long this instable period should be.
To account for this, the strategy can be assigned the `startup_candle_count` attribute.
This should be set to the maximum number of candles that the strategy requires to calculate stable indicators.
@ -146,8 +146,14 @@ In this example strategy, this should be set to 100 (`startup_candle_count = 100
By letting the bot know how much history is needed, backtest trades can start at the specified timerange during backtesting and hyperopt.
!!! Warning "Using x calls to get OHLCV"
If you receive a warning like `WARNING - Using 3 calls to get OHLCV. This can result in slower operations for the bot. Please check if you really need 1500 candles for your strategy` - you should consider if you really need this much historic data for your signals.
Having this will cause Freqtrade to make multiple calls for the same pair, which will obviously be slower than one network request.
As a consequence, Freqtrade will take longer to refresh candles - and should therefore be avoided if possible.
This is capped to 5 total calls to avoid overloading the exchange, or make freqtrade too slow.
!!! Warning
`startup_candle_count` should be below `ohlcv_candle_limit` (which is 500 for most exchanges) - since only this amount of candles will be available during Dry-Run/Live Trade operations.
`startup_candle_count` should be below `ohlcv_candle_limit * 5` (which is 500 * 5 for most exchanges) - since only this amount of candles will be available during Dry-Run/Live Trade operations.
#### Example

10
freqtrade/exchange/binance.py
View File

@ -1,6 +1,6 @@
""" Binance exchange subclass """
import logging
from typing import Dict, List
from typing import Dict, List, Tuple
import arrow
import ccxt
@ -93,8 +93,9 @@ class Binance(Exchange):
raise OperationalException(e) from e
async def _async_get_historic_ohlcv(self, pair: str, timeframe: str,
since_ms: int, is_new_pair: bool
) -> List:
since_ms: int, is_new_pair: bool = False,
raise_: bool = False
) -> Tuple[str, str, List]:
"""
Overwrite to introduce "fast new pair" functionality by detecting the pair's listing date
Does not work for other exchanges, which don't return the earliest data when called with "0"
@ -107,4 +108,5 @@ class Binance(Exchange):
logger.info(f"Candle-data for {pair} available starting with "
f"{arrow.get(since_ms // 1000).isoformat()}.")
return await super()._async_get_historic_ohlcv(
pair=pair, timeframe=timeframe, since_ms=since_ms, is_new_pair=is_new_pair)
pair=pair, timeframe=timeframe, since_ms=since_ms, is_new_pair=is_new_pair,
raise_=raise_)

68
freqtrade/exchange/exchange.py
View File

@ -7,7 +7,7 @@ import http
import inspect
import logging
from copy import deepcopy
from datetime import datetime, timezone
from datetime import datetime, timedelta, timezone
from math import ceil
from typing import Any, Dict, List, Optional, Tuple
@ -155,8 +155,8 @@ class Exchange:
self.validate_pairs(config['exchange']['pair_whitelist'])
self.validate_ordertypes(config.get('order_types', {}))
self.validate_order_time_in_force(config.get('order_time_in_force', {}))
self.validate_required_startup_candles(config.get('startup_candle_count', 0),
config.get('timeframe', ''))
self.required_candle_call_count = self.validate_required_startup_candles(
config.get('startup_candle_count', 0), config.get('timeframe', ''))
# Converts the interval provided in minutes in config to seconds
self.markets_refresh_interval: int = exchange_config.get(
@ -471,16 +471,29 @@ class Exchange:
raise OperationalException(
f'Time in force policies are not supported for {self.name} yet.')
def validate_required_startup_candles(self, startup_candles: int, timeframe: str) -> None:
def validate_required_startup_candles(self, startup_candles: int, timeframe: str) -> int:
"""
Checks if required startup_candles is more than ohlcv_candle_limit().
Requires a grace-period of 5 candles - so a startup-period up to 494 is allowed by default.
"""
candle_limit = self.ohlcv_candle_limit(timeframe)
if startup_candles + 5 > candle_limit:
# Require one more candle - to account for the still open candle.
candle_count = startup_candles + 1
# Allow 5 calls to the exchange per pair
required_candle_call_count = int(
(candle_count / candle_limit) + (0 if candle_count % candle_limit == 0 else 1))
if required_candle_call_count > 5:
# Only allow 5 calls per pair to somewhat limit the impact
raise OperationalException(
f"This strategy requires {startup_candles} candles to start. "
f"{self.name} only provides {candle_limit - 5} for {timeframe}.")
f"This strategy requires {startup_candles} candles to start, which is more than 5x "
f"the amount of candles {self.name} provides for {timeframe}.")
if required_candle_call_count > 1:
logger.warning(f"Using {required_candle_call_count} calls to get OHLCV. "
f"This can result in slower operations for the bot. Please check "
f"if you really need {startup_candles} candles for your strategy")
return required_candle_call_count
def exchange_has(self, endpoint: str) -> bool:
"""
@ -1205,9 +1218,11 @@ class Exchange:
:param since_ms: Timestamp in milliseconds to get history from
:return: List with candle (OHLCV) data
"""
return asyncio.get_event_loop().run_until_complete(
pair, timeframe, data = asyncio.get_event_loop().run_until_complete(
self._async_get_historic_ohlcv(pair=pair, timeframe=timeframe,
since_ms=since_ms, is_new_pair=is_new_pair))
logger.info(f"Downloaded data for {pair} with length {len(data)}.")
return data
def get_historic_ohlcv_as_df(self, pair: str, timeframe: str,
since_ms: int) -> DataFrame:
@ -1223,8 +1238,9 @@ class Exchange:
drop_incomplete=self._ohlcv_partial_candle)
async def _async_get_historic_ohlcv(self, pair: str, timeframe: str,
since_ms: int, is_new_pair: bool
) -> List:
since_ms: int, is_new_pair: bool = False,
raise_: bool = False
) -> Tuple[str, str, List]:
"""
Download historic ohlcv
:param is_new_pair: used by binance subclass to allow "fast" new pair downloading
@ -1248,15 +1264,17 @@ class Exchange:
for res in results:
if isinstance(res, Exception):
logger.warning("Async code raised an exception: %s", res.__class__.__name__)
if raise_:
raise
continue
# Deconstruct tuple if it's not an exception
p, _, new_data = res
if p == pair:
data.extend(new_data)
else:
# Deconstruct tuple if it's not an exception
p, _, new_data = res
if p == pair:
data.extend(new_data)
# Sort data again after extending the result - above calls return in "async order"
data = sorted(data, key=lambda x: x[0])
logger.info(f"Downloaded data for {pair} with length {len(data)}.")
return data
return pair, timeframe, data
def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
since_ms: Optional[int] = None, cache: bool = True
@ -1276,10 +1294,22 @@ class Exchange:
cached_pairs = []
# Gather coroutines to run
for pair, timeframe in set(pair_list):
if (((pair, timeframe) not in self._klines)
if ((pair, timeframe) not in self._klines
or self._now_is_time_to_refresh(pair, timeframe)):
input_coroutines.append(self._async_get_candle_history(pair, timeframe,
since_ms=since_ms))
if not since_ms and self.required_candle_call_count > 1:
# Multiple calls for one pair - to get more history
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
move_to = one_call * self.required_candle_call_count
now = timeframe_to_next_date(timeframe)
since_ms = int((now - timedelta(seconds=move_to // 1000)).timestamp() * 1000)
if since_ms:
input_coroutines.append(self._async_get_historic_ohlcv(
pair, timeframe, since_ms=since_ms, raise_=True))
else:
# One call ... "regular" refresh
input_coroutines.append(self._async_get_candle_history(
pair, timeframe, since_ms=since_ms))
else:
logger.debug(
"Using cached candle (OHLCV) data for pair %s, timeframe %s ...",

9
tests/exchange/test_binance.py
View File

@ -126,13 +126,16 @@ async def test__async_get_historic_ohlcv_binance(default_conf, mocker, caplog):
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
pair = 'ETH/BTC'
res = await exchange._async_get_historic_ohlcv(pair, "5m",
1500000000000, is_new_pair=False)
respair, restf, res = await exchange._async_get_historic_ohlcv(
pair, "5m", 1500000000000, is_new_pair=False)
assert respair == pair
assert restf == '5m'
# Call with very old timestamp - causes tons of requests
assert exchange._api_async.fetch_ohlcv.call_count > 400
# assert res == ohlcv
exchange._api_async.fetch_ohlcv.reset_mock()
res = await exchange._async_get_historic_ohlcv(pair, "5m", 1500000000000, is_new_pair=True)
_, _, res = await exchange._async_get_historic_ohlcv(
pair, "5m", 1500000000000, is_new_pair=True)
# Called twice - one "init" call - and one to get the actual data.
assert exchange._api_async.fetch_ohlcv.call_count == 2

31
tests/exchange/test_exchange.py
View File

@ -941,9 +941,22 @@ def test_validate_required_startup_candles(default_conf, mocker, caplog):
default_conf['startup_candle_count'] = 20
ex = Exchange(default_conf)
assert ex
default_conf['startup_candle_count'] = 600
# assumption is that the exchange provides 500 candles per call.s
assert ex.validate_required_startup_candles(200, '5m') == 1
assert ex.validate_required_startup_candles(499, '5m') == 1
assert ex.validate_required_startup_candles(600, '5m') == 2
assert ex.validate_required_startup_candles(501, '5m') == 2
assert ex.validate_required_startup_candles(499, '5m') == 1
assert ex.validate_required_startup_candles(1000, '5m') == 3
assert ex.validate_required_startup_candles(2499, '5m') == 5
assert log_has_re(r'Using 5 calls to get OHLCV. This.*', caplog)
with pytest.raises(OperationalException, match=r'This strategy requires 600.*'):
with pytest.raises(OperationalException, match=r'This strategy requires 2500.*'):
ex.validate_required_startup_candles(2500, '5m')
# Ensure the same also happens on init
default_conf['startup_candle_count'] = 6000
with pytest.raises(OperationalException, match=r'This strategy requires 6000.*'):
Exchange(default_conf)
@ -1506,6 +1519,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
assert exchange._async_get_candle_history.call_count == 2
# Returns twice the above OHLCV data
assert len(ret) == 2
assert log_has_re(r'Downloaded data for .* with length .*\.', caplog)
caplog.clear()
@ -1587,12 +1601,13 @@ async def test__async_get_historic_ohlcv(default_conf, mocker, caplog, exchange_
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
pair = 'ETH/USDT'
res = await exchange._async_get_historic_ohlcv(pair, "5m",
1500000000000, is_new_pair=False)
respair, restf, res = await exchange._async_get_historic_ohlcv(
pair, "5m", 1500000000000, is_new_pair=False)
assert respair == pair
assert restf == '5m'
# Call with very old timestamp - causes tons of requests
assert exchange._api_async.fetch_ohlcv.call_count > 200
assert res[0] == ohlcv[0]
assert log_has_re(r'Downloaded data for .* with length .*\.', caplog)
def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
@ -1630,12 +1645,14 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
assert exchange._api_async.fetch_ohlcv.call_count == 2
exchange._api_async.fetch_ohlcv.reset_mock()
exchange.required_candle_call_count = 2
res = exchange.refresh_latest_ohlcv(pairs)
assert len(res) == len(pairs)
assert log_has(f'Refreshing candle (OHLCV) data for {len(pairs)} pairs', caplog)
assert exchange._klines
assert exchange._api_async.fetch_ohlcv.call_count == 2
assert exchange._api_async.fetch_ohlcv.call_count == 4
exchange._api_async.fetch_ohlcv.reset_mock()
for pair in pairs:
assert isinstance(exchange.klines(pair), DataFrame)
assert len(exchange.klines(pair)) > 0
@ -1651,7 +1668,7 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
res = exchange.refresh_latest_ohlcv([('IOTA/ETH', '5m'), ('XRP/ETH', '5m')])
assert len(res) == len(pairs)
assert exchange._api_async.fetch_ohlcv.call_count == 2
assert exchange._api_async.fetch_ohlcv.call_count == 0
assert log_has(f"Using cached candle (OHLCV) data for pair {pairs[0][0]}, "
f"timeframe {pairs[0][1]} ...",
caplog)