Move extract_trades_of_period to btanlaysis
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@ -108,3 +108,13 @@ def load_trades(db_url: str = None, exportfilename: str = None) -> pd.DataFrame:
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trades = load_backtest_data(file)
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return trades
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def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame) -> pd.DataFrame:
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"""
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Compare trades and backtested pair DataFrames to get trades performed on backtested period
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:return: the DataFrame of a trades of period
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"""
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trades = trades.loc[(trades['open_time'] >= dataframe.iloc[0]['date']) &
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(trades['close_time'] <= dataframe.iloc[-1]['date'])]
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return trades
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@ -1,11 +1,18 @@
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import pytest
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from unittest.mock import MagicMock
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from pandas import DataFrame
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from freqtrade.data.btanalysis import BT_DATA_COLUMNS, load_backtest_data, load_trades
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from freqtrade.data.history import make_testdata_path
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from freqtrade.persistence import init, Trade
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from freqtrade.tests.test_persistence import init_persistence, create_mock_trades
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from arrow import Arrow
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import pytest
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from pandas import DataFrame, to_datetime
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from freqtrade.arguments import Arguments, TimeRange
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from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
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extract_trades_of_period,
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load_backtest_data, load_trades)
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from freqtrade.data.history import load_pair_history, make_testdata_path
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from freqtrade.persistence import Trade, init
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from freqtrade.strategy.interface import SellType
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from freqtrade.tests.test_persistence import (create_mock_trades,
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init_persistence)
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def test_load_backtest_data():
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@ -45,3 +52,37 @@ def test_load_trades_db(default_conf, fee, mocker):
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assert isinstance(trades, DataFrame)
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assert "pair" in trades.columns
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assert "open_time" in trades.columns
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def test_extract_trades_of_period():
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pair = "UNITTEST/BTC"
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timerange = TimeRange(None, 'line', 0, -1000)
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data = load_pair_history(pair=pair, ticker_interval='1m',
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datadir=None, timerange=timerange)
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# timerange = 2017-11-14 06:07 - 2017-11-14 22:58:00
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trades = DataFrame(
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{'pair': [pair, pair, pair, pair],
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'profit_percent': [0.0, 0.1, -0.2, -0.5],
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'profit_abs': [0.0, 1, -2, -5],
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'open_time': to_datetime([Arrow(2017, 11, 13, 15, 40, 0).datetime,
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Arrow(2017, 11, 14, 9, 41, 0).datetime,
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Arrow(2017, 11, 14, 14, 20, 0).datetime,
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Arrow(2017, 11, 15, 3, 40, 0).datetime,
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], utc=True
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),
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'close_time': to_datetime([Arrow(2017, 11, 13, 16, 40, 0).datetime,
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Arrow(2017, 11, 14, 10, 41, 0).datetime,
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Arrow(2017, 11, 14, 15, 25, 0).datetime,
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Arrow(2017, 11, 15, 3, 55, 0).datetime,
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], utc=True)
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})
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trades1 = extract_trades_of_period(data, trades)
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# First and last trade are dropped as they are out of range
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assert len(trades1) == 2
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assert trades1.iloc[0].open_time == Arrow(2017, 11, 14, 9, 41, 0).datetime
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assert trades1.iloc[0].close_time == Arrow(2017, 11, 14, 10, 41, 0).datetime
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assert trades1.iloc[-1].open_time == Arrow(2017, 11, 14, 14, 20, 0).datetime
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assert trades1.iloc[-1].close_time == Arrow(2017, 11, 14, 15, 25, 0).datetime
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@ -35,9 +35,10 @@ import pandas as pd
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from freqtrade.arguments import Arguments, TimeRange
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from freqtrade.data import history
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from freqtrade.data.btanalysis import load_trades
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from freqtrade.plot.plotting import generate_graph, generate_plot_file
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from freqtrade.exchange import Exchange
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from freqtrade.optimize import setup_configuration
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from freqtrade.plot.plotting import (extract_trades_of_period, generate_graph,
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generate_plot_file)
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from freqtrade.resolvers import StrategyResolver
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from freqtrade.state import RunMode
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@ -119,17 +120,6 @@ def generate_dataframe(strategy, tickers, pair) -> pd.DataFrame:
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return dataframe
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def extract_trades_of_period(dataframe, trades) -> pd.DataFrame:
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"""
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Compare trades and backtested pair DataFrames to get trades performed on backtested period
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:return: the DataFrame of a trades of period
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"""
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# TODO: Document and move to btanalysis (?)
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trades = trades.loc[(trades['open_time'] >= dataframe.iloc[0]['date']) &
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(trades['close_time'] <= dataframe.iloc[-1]['date'])]
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return trades
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def analyse_and_plot_pairs(args: Namespace):
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"""
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From arguments provided in cli:
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