lychiyu/freqtrade_origin
1
0
Fork 0
mirror of https://github.com/freqtrade/freqtrade.git synced 2024-11-10 10:21:59 +00:00
Code Issues Actions 2 Packages Projects Releases Wiki Activity

added meaningful logging of used lookback range

Browse Source
This commit is contained in:
nightshift2k 2021-07-04 11:16:33 +02:00
parent 53f963dd73
commit 348dbeff3f
1 changed files with 17 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

23
freqtrade/plugins/pairlist/VolumePairList.py
View File

@ -12,6 +12,7 @@ from cachetools.ttl import TTLCache
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.plugins.pairlist.IPairList import IPairList
from freqtrade.misc import format_ms_time
logger = logging.getLogger(__name__)
@ -41,6 +42,12 @@ class VolumePairList(IPairList):
self._lookback_timeframe = self._pairlistconfig.get('lookback_timeframe', '1d')
self._lookback_period = self._pairlistconfig.get('lookback_period', 0)
if (self._lookback_days > 0) & (self._lookback_period > 0):
raise OperationalException(
f'Ambigous configuration: lookback_days and lookback_period both set in pairlist config. '
f'Please set lookback_days only or lookback_period and lookback_timeframe and restart the bot.'
)
# overwrite lookback timeframe and days when lookback_days is set
if self._lookback_days > 0:
self._lookback_timeframe = '1d'
@ -49,7 +56,8 @@ class VolumePairList(IPairList):
# get timeframe in minutes and seconds
self._tf_in_min = timeframe_to_minutes(self._lookback_timeframe)
self._tf_in_sec = self._tf_in_min * 60
# wether to use range lookback or not
self._use_range = (self._tf_in_min > 0) & (self._lookback_period > 0)
if self._use_range & (self._refresh_period < self._tf_in_sec):
@ -138,7 +146,13 @@ class VolumePairList(IPairList):
.shift(minutes=-(self._lookback_period * self._tf_in_min) - self._tf_in_min)
.float_timestamp) * 1000
self.log_once(f"Using volume range of {self._lookback_period} {self._lookback_timeframe} candles from {since_ms}", logger.info)
to_ms = int(arrow.utcnow()
.floor('minute')
.shift(minutes=-self._tf_in_min)
.float_timestamp) * 1000
# todo: utc date output for starting date
self.log_once(f"Using volume range of {self._lookback_period} candles, timeframe: {self._lookback_timeframe}, starting from {format_ms_time(since_ms)} till {format_ms_time(to_ms)}", logger.info)
needed_pairs = [(p, self._lookback_timeframe) for p in [s['symbol'] for s in filtered_tickers] if p not in self._pair_cache]
# Get all candles
@ -148,18 +162,15 @@ class VolumePairList(IPairList):
for i,p in enumerate(filtered_tickers):
pair_candles = candles[(p['symbol'], self._lookback_timeframe)] if (p['symbol'], self._lookback_timeframe) in candles else None
# print(p['symbol'], " 24h quote volume = ",filtered_tickers[i]['quoteVolume'])
# in case of candle data calculate typical price and quoteVolume for candle
if not pair_candles.empty:
pair_candles['typical_price'] = (pair_candles['high'] + pair_candles['low'] + pair_candles['close']) / 3
pair_candles['quoteVolume'] = pair_candles['volume'] * pair_candles['typical_price']
# replace quoteVolume with range sum
# replace quoteVolume with range quoteVolume sum calculated above
filtered_tickers[i]['quoteVolume'] = pair_candles['quoteVolume'].sum()
else:
filtered_tickers[i]['quoteVolume'] = 0
# print(p['symbol'], " range quote volume = ",filtered_tickers[i]['quoteVolume'])
if self._min_value > 0:
filtered_tickers = [
v for v in filtered_tickers if v[self._sort_key] > self._min_value]