Merge pull request #2430 from freqtrade/startup_period_bt

Add Startup period for strategies
This commit is contained in:
hroff-1902
2019-10-28 23:33:30 +03:00
committed by GitHub
18 changed files with 321 additions and 77 deletions

View File

@@ -8,17 +8,19 @@ Includes:
import logging
import operator
from copy import deepcopy
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
import arrow
import pytz
from pandas import DataFrame
from freqtrade import OperationalException, misc
from freqtrade.configuration import TimeRange
from freqtrade.data.converter import parse_ticker_dataframe, trades_to_ohlcv
from freqtrade.exchange import Exchange, timeframe_to_minutes
from freqtrade.exchange import Exchange, timeframe_to_minutes, timeframe_to_seconds
logger = logging.getLogger(__name__)
@@ -49,6 +51,19 @@ def trim_tickerlist(tickerlist: List[Dict], timerange: TimeRange) -> List[Dict]:
return tickerlist[start_index:stop_index]
def trim_dataframe(df: DataFrame, timerange: TimeRange) -> DataFrame:
"""
Trim dataframe based on given timerange
"""
if timerange.starttype == 'date':
start = datetime.fromtimestamp(timerange.startts, tz=pytz.utc)
df = df.loc[df['date'] >= start, :]
if timerange.stoptype == 'date':
stop = datetime.fromtimestamp(timerange.stopts, tz=pytz.utc)
df = df.loc[df['date'] <= stop, :]
return df
def load_tickerdata_file(datadir: Path, pair: str, ticker_interval: str,
timerange: Optional[TimeRange] = None) -> Optional[list]:
"""
@@ -113,7 +128,8 @@ def load_pair_history(pair: str,
refresh_pairs: bool = False,
exchange: Optional[Exchange] = None,
fill_up_missing: bool = True,
drop_incomplete: bool = True
drop_incomplete: bool = True,
startup_candles: int = 0,
) -> DataFrame:
"""
Loads cached ticker history for the given pair.
@@ -126,9 +142,15 @@ def load_pair_history(pair: str,
:param exchange: Exchange object (needed when using "refresh_pairs")
:param fill_up_missing: Fill missing values with "No action"-candles
:param drop_incomplete: Drop last candle assuming it may be incomplete.
:param startup_candles: Additional candles to load at the start of the period
:return: DataFrame with ohlcv data
"""
timerange_startup = deepcopy(timerange)
if startup_candles > 0 and timerange_startup:
logger.info('Using indicator startup period: %s ...', startup_candles)
timerange_startup.subtract_start(timeframe_to_seconds(ticker_interval) * startup_candles)
# The user forced the refresh of pairs
if refresh_pairs:
download_pair_history(datadir=datadir,
@@ -137,11 +159,11 @@ def load_pair_history(pair: str,
ticker_interval=ticker_interval,
timerange=timerange)
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange)
pairdata = load_tickerdata_file(datadir, pair, ticker_interval, timerange=timerange_startup)
if pairdata:
if timerange:
_validate_pairdata(pair, pairdata, timerange)
if timerange_startup:
_validate_pairdata(pair, pairdata, timerange_startup)
return parse_ticker_dataframe(pairdata, ticker_interval, pair=pair,
fill_missing=fill_up_missing,
drop_incomplete=drop_incomplete)
@@ -160,10 +182,22 @@ def load_data(datadir: Path,
exchange: Optional[Exchange] = None,
timerange: Optional[TimeRange] = None,
fill_up_missing: bool = True,
startup_candles: int = 0,
fail_without_data: bool = False
) -> Dict[str, DataFrame]:
"""
Loads ticker history data for a list of pairs
:return: dict(<pair>:<tickerlist>)
:param datadir: Path to the data storage location.
:param ticker_interval: Ticker-interval (e.g. "5m")
:param pairs: List of pairs to load
:param refresh_pairs: Refresh pairs from exchange.
(Note: Requires exchange to be passed as well.)
:param exchange: Exchange object (needed when using "refresh_pairs")
:param timerange: Limit data to be loaded to this timerange
:param fill_up_missing: Fill missing values with "No action"-candles
:param startup_candles: Additional candles to load at the start of the period
:param fail_without_data: Raise OperationalException if no data is found.
:return: dict(<pair>:<Dataframe>)
TODO: refresh_pairs is still used by edge to keep the data uptodate.
This should be replaced in the future. Instead, writing the current candles to disk
from dataprovider should be implemented, as this would avoid loading ohlcv data twice.
@@ -176,9 +210,13 @@ def load_data(datadir: Path,
datadir=datadir, timerange=timerange,
refresh_pairs=refresh_pairs,
exchange=exchange,
fill_up_missing=fill_up_missing)
fill_up_missing=fill_up_missing,
startup_candles=startup_candles)
if hist is not None:
result[pair] = hist
if fail_without_data and not result:
raise OperationalException("No data found. Terminating.")
return result