code cleanup and comments
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@ -4,16 +4,14 @@ Volume PairList provider
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Provides dynamic pair list based on trade volumes
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"""
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import logging
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import arrow
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from typing import Any, Dict, List
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from cachetools.ttl import TTLCache
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from freqtrade.exceptions import OperationalException
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from freqtrade.plugins.pairlist.IPairList import IPairList
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import arrow
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from copy import deepcopy
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from freqtrade.exchange import timeframe_to_minutes
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from freqtrade.plugins.pairlist.IPairList import IPairList
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logger = logging.getLogger(__name__)
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@ -48,15 +46,16 @@ class VolumePairList(IPairList):
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self._lookback_timeframe = '1d'
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self._lookback_period = self._lookback_days
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# get timeframe in minutes and seconds
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self._tf_in_min = timeframe_to_minutes(self._lookback_timeframe)
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self._tf_in_secs = self._tf_in_min * 60
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self._tf_in_sec = self._tf_in_min * 60
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self._use_range = (self._tf_in_min > 0) & (self._lookback_period > 0)
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if self._use_range & (self._refresh_period < self._tf_in_secs):
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raise OperationalException(
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f'Refresh period of {self._refresh_period} seconds is smaller than one timeframe of {self._lookback_timeframe}. '
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f'Please adjust refresh_period to at least {self._tf_in_secs} and restart the bot.'
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f'Please adjust refresh_period to at least {self._tf_in_sec} and restart the bot.'
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)
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if not self._exchange.exchange_has('fetchTickers'):
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@ -129,10 +128,10 @@ class VolumePairList(IPairList):
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:param tickers: Tickers (from exchange.get_tickers()). May be cached.
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:return: new whitelist
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"""
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# Use the incoming pairlist.
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filtered_tickers = [v for k, v in tickers.items() if k in pairlist]
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# get lookback period in ms, for exchange ohlcv fetch
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if self._use_range == True:
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since_ms = int(arrow.utcnow()
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.floor('minute')
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@ -141,31 +140,25 @@ class VolumePairList(IPairList):
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self.log_once(f"Using volume range of {self._lookback_period} {self._lookback_timeframe} candles from {since_ms}", logger.info)
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needed_pairs = [(p, self._lookback_timeframe) for p in [s['symbol'] for s in filtered_tickers] if p not in self._pair_cache]
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# Get all candles
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candles = {}
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if needed_pairs:
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candles = self._exchange.refresh_latest_ohlcv(needed_pairs, since_ms=since_ms,
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cache=False)
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candles = self._exchange.refresh_latest_ohlcv(needed_pairs, since_ms=since_ms, cache=False)
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for i,p in enumerate(filtered_tickers):
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# for p in deepcopy([s['symbol'] for s in filtered_tickers]):
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pair_candles = candles[(p['symbol'], self._lookback_timeframe)] if (p['symbol'], self._lookback_timeframe) in candles else None
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#print(p['symbol'], " 24h quote volume = ",filtered_tickers[i]['quoteVolume'])
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#if p['symbol'] == 'BCC/USDT':
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#print(pair_candles)
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#quit()
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print(p['symbol'], " 24h quote volume = ",filtered_tickers[i]['quoteVolume'])
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# print(p['symbol'], " 24h quote volume = ",filtered_tickers[i]['quoteVolume'])
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# in case of candle data calculate typical price and quoteVolume for candle
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if not pair_candles.empty:
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pair_candles['typical_price'] = (pair_candles['high'] + pair_candles['low'] + pair_candles['close']) / 3
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pair_candles['quoteVolume'] = pair_candles['volume'] * pair_candles['typical_price']
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# print(p['symbol'], " range quote volume = ", pair_candles['quoteVolume'].sum())
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# replace quoteVolume with range sum
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filtered_tickers[i]['quoteVolume'] = pair_candles['quoteVolume'].sum()
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else:
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filtered_tickers[i]['quoteVolume'] = 0
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print(p['symbol'], " range quote volume = ",filtered_tickers[i]['quoteVolume'])
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# print(p['symbol'], " range quote volume = ",filtered_tickers[i]['quoteVolume'])
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if self._min_value > 0:
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filtered_tickers = [
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@ -175,13 +168,10 @@ class VolumePairList(IPairList):
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# Validate whitelist to only have active market pairs
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pairs = self._whitelist_for_active_markets([s['symbol'] for s in sorted_tickers])
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pairs = self.verify_blacklist(pairs, logger.info)
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pairs = self.verify_blacklist(pairs, logger.info)
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# Limit pairlist to the requested number of pairs
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pairs = pairs[:self._number_pairs]
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self.log_once(f"Searching {self._number_pairs} pairs: {pairs}", logger.info)
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quit()
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return pairs
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