Merge pull request #4009 from mrsegen/patch-4

[Pairlist] Add PerformanceFilter
This commit is contained in:
Matthias
2020-11-30 07:48:15 +01:00
committed by GitHub
4 changed files with 156 additions and 7 deletions

View File

@@ -24,8 +24,9 @@ HYPEROPT_LOSS_BUILTIN = ['ShortTradeDurHyperOptLoss', 'OnlyProfitHyperOptLoss',
'SharpeHyperOptLoss', 'SharpeHyperOptLossDaily',
'SortinoHyperOptLoss', 'SortinoHyperOptLossDaily']
AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList',
'AgeFilter', 'PrecisionFilter', 'PriceFilter',
'RangeStabilityFilter', 'ShuffleFilter', 'SpreadFilter']
'AgeFilter', 'PerformanceFilter', 'PrecisionFilter',
'PriceFilter', 'RangeStabilityFilter', 'ShuffleFilter',
'SpreadFilter']
AVAILABLE_DATAHANDLERS = ['json', 'jsongz', 'hdf5']
DRY_RUN_WALLET = 1000
DATETIME_PRINT_FORMAT = '%Y-%m-%d %H:%M:%S'

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@@ -0,0 +1,66 @@
"""
Performance pair list filter
"""
import logging
from typing import Any, Dict, List
import pandas as pd
from freqtrade.pairlist.IPairList import IPairList
from freqtrade.persistence import Trade
logger = logging.getLogger(__name__)
class PerformanceFilter(IPairList):
def __init__(self, exchange, pairlistmanager,
config: Dict[str, Any], pairlistconfig: Dict[str, Any],
pairlist_pos: int) -> None:
super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos)
@property
def needstickers(self) -> bool:
"""
Boolean property defining if tickers are necessary.
If no Pairlist requries tickers, an empty List is passed
as tickers argument to filter_pairlist
"""
return False
def short_desc(self) -> str:
"""
Short allowlist method description - used for startup-messages
"""
return f"{self.name} - Sorting pairs by performance."
def filter_pairlist(self, pairlist: List[str], tickers: Dict) -> List[str]:
"""
Filters and sorts pairlist and returns the allowlist again.
Called on each bot iteration - please use internal caching if necessary
:param pairlist: pairlist to filter or sort
:param tickers: Tickers (from exchange.get_tickers()). May be cached.
:return: new allowlist
"""
# Get the trading performance for pairs from database
performance = pd.DataFrame(Trade.get_overall_performance())
# Skip performance-based sorting if no performance data is available
if len(performance) == 0:
return pairlist
# Get pairlist from performance dataframe values
list_df = pd.DataFrame({'pair': pairlist})
# Set initial value for pairs with no trades to 0
# Sort the list using:
# - primarily performance (high to low)
# - then count (low to high, so as to favor same performance with fewer trades)
# - then pair name alphametically
sorted_df = list_df.merge(performance, on='pair', how='left')\
.fillna(0).sort_values(by=['count', 'pair'], ascending=True)\
.sort_values(by=['profit'], ascending=False)
pairlist = sorted_df['pair'].tolist()
return pairlist