stable/tests/optimize/test_backtest_reports.py

97 lines
3.7 KiB
Python
Raw Normal View History

import pandas as pd
from freqtrade.optimize.backtest_reports import (
generate_text_table, generate_text_table_sell_reason,
generate_text_table_strategy)
from freqtrade.strategy.interface import SellType
def test_generate_text_table(default_conf, mocker):
results = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2],
'profit_abs': [0.2, 0.4],
'trade_duration': [10, 30],
'profit': [2, 0],
'loss': [0, 0]
}
)
result_str = (
'| pair | buy count | avg profit % | cum profit % | '
'tot profit BTC | tot profit % | avg duration | profit | loss |\n'
'|:--------|------------:|---------------:|---------------:|'
'-----------------:|---------------:|:---------------|---------:|-------:|\n'
'| ETH/BTC | 2 | 15.00 | 30.00 | '
'0.60000000 | 15.00 | 0:20:00 | 2 | 0 |\n'
'| TOTAL | 2 | 15.00 | 30.00 | '
'0.60000000 | 15.00 | 0:20:00 | 2 | 0 |'
)
assert generate_text_table(data={'ETH/BTC': {}},
stake_currency='BTC', max_open_trades=2,
results=results) == result_str
def test_generate_text_table_sell_reason(default_conf, mocker):
results = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2, -0.3],
'profit_abs': [0.2, 0.4, -0.5],
'trade_duration': [10, 30, 10],
'profit': [2, 0, 0],
'loss': [0, 0, 1],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}
)
result_str = (
'| Sell Reason | Count | Profit | Loss |\n'
'|:--------------|--------:|---------:|-------:|\n'
'| roi | 2 | 2 | 0 |\n'
'| stop_loss | 1 | 0 | 1 |'
)
assert generate_text_table_sell_reason(
data={'ETH/BTC': {}}, results=results) == result_str
def test_generate_text_table_strategy(default_conf, mocker):
results = {}
results['ETH/BTC'] = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
'profit_percent': [0.1, 0.2, 0.3],
'profit_abs': [0.2, 0.4, 0.5],
'trade_duration': [10, 30, 10],
'profit': [2, 0, 0],
'loss': [0, 0, 1],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}
)
results['LTC/BTC'] = pd.DataFrame(
{
'pair': ['LTC/BTC', 'LTC/BTC', 'LTC/BTC'],
'profit_percent': [0.4, 0.2, 0.3],
'profit_abs': [0.4, 0.4, 0.5],
'trade_duration': [15, 30, 15],
'profit': [4, 1, 0],
'loss': [0, 0, 1],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}
)
result_str = (
'| Strategy | buy count | avg profit % | cum profit % '
'| tot profit BTC | tot profit % | avg duration | profit | loss |\n'
'|:-----------|------------:|---------------:|---------------:'
'|-----------------:|---------------:|:---------------|---------:|-------:|\n'
'| ETH/BTC | 3 | 20.00 | 60.00 '
'| 1.10000000 | 30.00 | 0:17:00 | 3 | 0 |\n'
'| LTC/BTC | 3 | 30.00 | 90.00 '
'| 1.30000000 | 45.00 | 0:20:00 | 3 | 0 |'
)
assert generate_text_table_strategy('BTC', 2, all_results=results) == result_str