Merge branch 'develop' into data_handler

This commit is contained in:
Matthias
2020-02-09 15:16:43 +01:00
74 changed files with 1078 additions and 408 deletions

View File

@@ -3,7 +3,7 @@ Helpers when analyzing backtest data
"""
import logging
from pathlib import Path
from typing import Dict
from typing import Dict, Union
import numpy as np
import pandas as pd
@@ -20,7 +20,7 @@ BT_DATA_COLUMNS = ["pair", "profitperc", "open_time", "close_time", "index", "du
"open_rate", "close_rate", "open_at_end", "sell_reason"]
def load_backtest_data(filename) -> pd.DataFrame:
def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame:
"""
Load backtest data file.
:param filename: pathlib.Path object, or string pointing to the file.
@@ -151,7 +151,8 @@ def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame) -> p
return trades
def combine_tickers_with_mean(tickers: Dict[str, pd.DataFrame], column: str = "close"):
def combine_tickers_with_mean(tickers: Dict[str, pd.DataFrame],
column: str = "close") -> pd.DataFrame:
"""
Combine multiple dataframes "column"
:param tickers: Dict of Dataframes, dict key should be pair.

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@@ -219,7 +219,7 @@ def _download_pair_history(datadir: Path,
def refresh_backtest_ohlcv_data(exchange: Exchange, pairs: List[str], timeframes: List[str],
datadir: Path, timerange: Optional[TimeRange] = None,
erase=False, data_format: str = None) -> List[str]:
erase: bool = False, data_format: str = None) -> List[str]:
"""
Refresh stored ohlcv data for backtesting and hyperopt operations.
Used by freqtrade download-data subcommand.
@@ -290,7 +290,7 @@ def _download_trades_history(exchange: Exchange,
def refresh_backtest_trades_data(exchange: Exchange, pairs: List[str], datadir: Path,
timerange: TimeRange, erase=False,
timerange: TimeRange, erase: bool = False,
data_format: str = 'jsongz') -> List[str]:
"""
Refresh stored trades data for backtesting and hyperopt operations.
@@ -318,7 +318,7 @@ def refresh_backtest_trades_data(exchange: Exchange, pairs: List[str], datadir:
def convert_trades_to_ohlcv(pairs: List[str], timeframes: List[str],
datadir: Path, timerange: TimeRange, erase=False,
datadir: Path, timerange: TimeRange, erase: bool = False,
data_format_ohlcv: str = 'json',
data_format_trades: str = 'jsongz') -> None:
"""