mirror of
https://github.com/freqtrade/freqtrade.git
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Merge pull request #10417 from freqtrade/feat/rich_tables_bt
Backtest tables -> Rich
This commit is contained in:
commit
dcedc1c652
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@ -52,4 +52,4 @@ class EdgeCli:
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result = self.edge.calculate(self.config["exchange"]["pair_whitelist"])
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result = self.edge.calculate(self.config["exchange"]["pair_whitelist"])
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if result:
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if result:
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print("") # blank line for readability
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print("") # blank line for readability
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print(generate_edge_table(self.edge._cached_pairs))
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generate_edge_table(self.edge._cached_pairs)
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@ -1,12 +1,10 @@
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import logging
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import logging
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from typing import Any, Dict, List, Union
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from typing import Any, Dict, List, Literal, Union
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from tabulate import tabulate
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from freqtrade.constants import UNLIMITED_STAKE_AMOUNT, Config
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from freqtrade.constants import UNLIMITED_STAKE_AMOUNT, Config
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from freqtrade.optimize.optimize_reports.optimize_reports import generate_periodic_breakdown_stats
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from freqtrade.optimize.optimize_reports.optimize_reports import generate_periodic_breakdown_stats
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from freqtrade.types import BacktestResultType
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from freqtrade.types import BacktestResultType
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from freqtrade.util import decimals_per_coin, fmt_coin
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from freqtrade.util import decimals_per_coin, fmt_coin, print_rich_table
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logger = logging.getLogger(__name__)
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logger = logging.getLogger(__name__)
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@ -46,22 +44,23 @@ def generate_wins_draws_losses(wins, draws, losses):
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return f"{wins:>4} {draws:>4} {losses:>4} {wl_ratio:>4}"
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return f"{wins:>4} {draws:>4} {losses:>4} {wl_ratio:>4}"
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def text_table_bt_results(pair_results: List[Dict[str, Any]], stake_currency: str) -> str:
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def text_table_bt_results(
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pair_results: List[Dict[str, Any]], stake_currency: str, title: str
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) -> None:
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"""
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"""
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Generates and returns a text table for the given backtest data and the results dataframe
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Generates and returns a text table for the given backtest data and the results dataframe
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:param pair_results: List of Dictionaries - one entry per pair + final TOTAL row
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:param pair_results: List of Dictionaries - one entry per pair + final TOTAL row
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:param stake_currency: stake-currency - used to correctly name headers
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:param stake_currency: stake-currency - used to correctly name headers
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:return: pretty printed table with tabulate as string
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:param title: Title of the table
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"""
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"""
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headers = _get_line_header("Pair", stake_currency, "Trades")
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headers = _get_line_header("Pair", stake_currency, "Trades")
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floatfmt = _get_line_floatfmt(stake_currency)
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output = [
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output = [
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[
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[
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t["key"],
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t["key"],
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t["trades"],
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t["trades"],
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t["profit_mean_pct"],
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t["profit_mean_pct"],
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t["profit_total_abs"],
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f"{t['profit_total_abs']:.{decimals_per_coin(stake_currency)}f}",
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t["profit_total_pct"],
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t["profit_total_pct"],
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t["duration_avg"],
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t["duration_avg"],
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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@ -69,26 +68,32 @@ def text_table_bt_results(pair_results: List[Dict[str, Any]], stake_currency: st
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for t in pair_results
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for t in pair_results
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]
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]
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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return tabulate(output, headers=headers, floatfmt=floatfmt, tablefmt="orgtbl", stralign="right")
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print_rich_table(output, headers, summary=title)
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def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_currency: str) -> str:
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def text_table_tags(
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tag_type: Literal["enter_tag", "exit_tag", "mix_tag"],
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tag_results: List[Dict[str, Any]],
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stake_currency: str,
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) -> None:
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"""
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"""
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Generates and returns a text table for the given backtest data and the results dataframe
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Generates and returns a text table for the given backtest data and the results dataframe
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:param pair_results: List of Dictionaries - one entry per pair + final TOTAL row
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:param pair_results: List of Dictionaries - one entry per pair + final TOTAL row
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:param stake_currency: stake-currency - used to correctly name headers
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:param stake_currency: stake-currency - used to correctly name headers
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:return: pretty printed table with tabulate as string
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"""
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"""
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floatfmt = _get_line_floatfmt(stake_currency)
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floatfmt = _get_line_floatfmt(stake_currency)
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fallback: str = ""
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fallback: str = ""
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is_list = False
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is_list = False
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if tag_type == "enter_tag":
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if tag_type == "enter_tag":
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headers = _get_line_header("Enter Tag", stake_currency, "Entries")
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title = "Enter Tag"
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headers = _get_line_header(title, stake_currency, "Entries")
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elif tag_type == "exit_tag":
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elif tag_type == "exit_tag":
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headers = _get_line_header("Exit Reason", stake_currency, "Exits")
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title = "Exit Reason"
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headers = _get_line_header(title, stake_currency, "Exits")
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fallback = "exit_reason"
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fallback = "exit_reason"
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else:
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else:
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# Mix tag
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# Mix tag
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title = "Mixed Tag"
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headers = _get_line_header(["Enter Tag", "Exit Reason"], stake_currency, "Trades")
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headers = _get_line_header(["Enter Tag", "Exit Reason"], stake_currency, "Trades")
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floatfmt.insert(0, "s")
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floatfmt.insert(0, "s")
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is_list = True
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is_list = True
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@ -106,7 +111,7 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
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),
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),
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t["trades"],
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t["trades"],
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t["profit_mean_pct"],
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t["profit_mean_pct"],
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t["profit_total_abs"],
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f"{t['profit_total_abs']:.{decimals_per_coin(stake_currency)}f}",
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t["profit_total_pct"],
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t["profit_total_pct"],
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t.get("duration_avg"),
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t.get("duration_avg"),
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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@ -114,17 +119,16 @@ def text_table_tags(tag_type: str, tag_results: List[Dict[str, Any]], stake_curr
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for t in tag_results
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for t in tag_results
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]
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]
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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return tabulate(output, headers=headers, floatfmt=floatfmt, tablefmt="orgtbl", stralign="right")
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print_rich_table(output, headers, summary=f"{title.upper()} STATS")
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def text_table_periodic_breakdown(
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def text_table_periodic_breakdown(
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days_breakdown_stats: List[Dict[str, Any]], stake_currency: str, period: str
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days_breakdown_stats: List[Dict[str, Any]], stake_currency: str, period: str
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) -> str:
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) -> None:
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"""
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"""
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Generate small table with Backtest results by days
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Generate small table with Backtest results by days
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:param days_breakdown_stats: Days breakdown metrics
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:param days_breakdown_stats: Days breakdown metrics
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:param stake_currency: Stakecurrency used
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:param stake_currency: Stakecurrency used
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:return: pretty printed table with tabulate as string
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"""
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"""
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headers = [
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headers = [
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period.capitalize(),
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period.capitalize(),
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@ -143,17 +147,15 @@ def text_table_periodic_breakdown(
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]
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]
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for d in days_breakdown_stats
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for d in days_breakdown_stats
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]
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]
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return tabulate(output, headers=headers, tablefmt="orgtbl", stralign="right")
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print_rich_table(output, headers, summary=f"{period.upper()} BREAKDOWN")
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def text_table_strategy(strategy_results, stake_currency: str) -> str:
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def text_table_strategy(strategy_results, stake_currency: str, title: str):
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"""
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"""
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Generate summary table per strategy
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Generate summary table per strategy
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:param strategy_results: Dict of <Strategyname: DataFrame> containing results for all strategies
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:param strategy_results: Dict of <Strategyname: DataFrame> containing results for all strategies
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:param stake_currency: stake-currency - used to correctly name headers
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:param stake_currency: stake-currency - used to correctly name headers
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:return: pretty printed table with tabulate as string
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"""
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"""
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floatfmt = _get_line_floatfmt(stake_currency)
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headers = _get_line_header("Strategy", stake_currency, "Trades")
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headers = _get_line_header("Strategy", stake_currency, "Trades")
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# _get_line_header() is also used for per-pair summary. Per-pair drawdown is mostly useless
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# _get_line_header() is also used for per-pair summary. Per-pair drawdown is mostly useless
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# therefore we slip this column in only for strategy summary here.
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# therefore we slip this column in only for strategy summary here.
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@ -177,8 +179,8 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str:
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[
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[
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t["key"],
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t["key"],
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t["trades"],
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t["trades"],
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t["profit_mean_pct"],
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f"{t['profit_mean_pct']:.2f}",
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t["profit_total_abs"],
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f"{t['profit_total_abs']:.{decimals_per_coin(stake_currency)}f}",
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t["profit_total_pct"],
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t["profit_total_pct"],
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t["duration_avg"],
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t["duration_avg"],
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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generate_wins_draws_losses(t["wins"], t["draws"], t["losses"]),
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@ -186,11 +188,10 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str:
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]
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]
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for t, drawdown in zip(strategy_results, drawdown)
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for t, drawdown in zip(strategy_results, drawdown)
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]
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]
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# Ignore type as floatfmt does allow tuples but mypy does not know that
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print_rich_table(output, headers, summary=title)
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return tabulate(output, headers=headers, floatfmt=floatfmt, tablefmt="orgtbl", stralign="right")
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def text_table_add_metrics(strat_results: Dict) -> str:
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def text_table_add_metrics(strat_results: Dict) -> None:
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if len(strat_results["trades"]) > 0:
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if len(strat_results["trades"]) > 0:
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best_trade = max(strat_results["trades"], key=lambda x: x["profit_ratio"])
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best_trade = max(strat_results["trades"], key=lambda x: x["profit_ratio"])
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worst_trade = min(strat_results["trades"], key=lambda x: x["profit_ratio"])
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worst_trade = min(strat_results["trades"], key=lambda x: x["profit_ratio"])
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@ -372,8 +373,8 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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*drawdown_metrics,
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*drawdown_metrics,
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("Market change", f"{strat_results['market_change']:.2%}"),
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("Market change", f"{strat_results['market_change']:.2%}"),
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]
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]
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print_rich_table(metrics, ["Metric", "Value"], summary="SUMMARY METRICS", justify="left")
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return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl")
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else:
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else:
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start_balance = fmt_coin(strat_results["starting_balance"], strat_results["stake_currency"])
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start_balance = fmt_coin(strat_results["starting_balance"], strat_results["stake_currency"])
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stake_amount = (
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stake_amount = (
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@ -387,7 +388,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
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f"Your starting balance was {start_balance}, "
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f"Your starting balance was {start_balance}, "
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f"and your stake was {stake_amount}."
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f"and your stake was {stake_amount}."
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)
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)
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return message
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print(message)
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def _show_tag_subresults(results: Dict[str, Any], stake_currency: str):
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def _show_tag_subresults(results: Dict[str, Any], stake_currency: str):
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@ -395,25 +396,13 @@ def _show_tag_subresults(results: Dict[str, Any], stake_currency: str):
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Print tag subresults (enter_tag, exit_reason_summary, mix_tag_stats)
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Print tag subresults (enter_tag, exit_reason_summary, mix_tag_stats)
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"""
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"""
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if (enter_tags := results.get("results_per_enter_tag")) is not None:
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if (enter_tags := results.get("results_per_enter_tag")) is not None:
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table = text_table_tags("enter_tag", enter_tags, stake_currency)
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text_table_tags("enter_tag", enter_tags, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" ENTER TAG STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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if (exit_reasons := results.get("exit_reason_summary")) is not None:
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if (exit_reasons := results.get("exit_reason_summary")) is not None:
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table = text_table_tags("exit_tag", exit_reasons, stake_currency)
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text_table_tags("exit_tag", exit_reasons, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" EXIT REASON STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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if (mix_tag := results.get("mix_tag_stats")) is not None:
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if (mix_tag := results.get("mix_tag_stats")) is not None:
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table = text_table_tags("mix_tag", mix_tag, stake_currency)
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text_table_tags("mix_tag", mix_tag, stake_currency)
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if isinstance(table, str) and len(table) > 0:
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print(" MIXED TAG STATS ".center(len(table.splitlines()[0]), "="))
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print(table)
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def show_backtest_result(
|
def show_backtest_result(
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@ -424,15 +413,12 @@ def show_backtest_result(
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"""
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"""
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# Print results
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# Print results
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print(f"Result for strategy {strategy}")
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print(f"Result for strategy {strategy}")
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table = text_table_bt_results(results["results_per_pair"], stake_currency=stake_currency)
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text_table_bt_results(
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if isinstance(table, str):
|
results["results_per_pair"], stake_currency=stake_currency, title="BACKTESTING REPORT"
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print(" BACKTESTING REPORT ".center(len(table.splitlines()[0]), "="))
|
)
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print(table)
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text_table_bt_results(
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results["left_open_trades"], stake_currency=stake_currency, title="LEFT OPEN TRADES REPORT"
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table = text_table_bt_results(results["left_open_trades"], stake_currency=stake_currency)
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)
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if isinstance(table, str) and len(table) > 0:
|
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print(" LEFT OPEN TRADES REPORT ".center(len(table.splitlines()[0]), "="))
|
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print(table)
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|
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_show_tag_subresults(results, stake_currency)
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_show_tag_subresults(results, stake_currency)
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|
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|
@ -443,20 +429,11 @@ def show_backtest_result(
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days_breakdown_stats = generate_periodic_breakdown_stats(
|
days_breakdown_stats = generate_periodic_breakdown_stats(
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trade_list=results["trades"], period=period
|
trade_list=results["trades"], period=period
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)
|
)
|
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table = text_table_periodic_breakdown(
|
text_table_periodic_breakdown(
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days_breakdown_stats=days_breakdown_stats, stake_currency=stake_currency, period=period
|
days_breakdown_stats=days_breakdown_stats, stake_currency=stake_currency, period=period
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)
|
)
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if isinstance(table, str) and len(table) > 0:
|
|
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print(f" {period.upper()} BREAKDOWN ".center(len(table.splitlines()[0]), "="))
|
|
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print(table)
|
|
||||||
|
|
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table = text_table_add_metrics(results)
|
text_table_add_metrics(results)
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if isinstance(table, str) and len(table) > 0:
|
|
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print(" SUMMARY METRICS ".center(len(table.splitlines()[0]), "="))
|
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print(table)
|
|
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|
|
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if isinstance(table, str) and len(table) > 0:
|
|
||||||
print("=" * len(table.splitlines()[0]))
|
|
||||||
|
|
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print()
|
print()
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|
|
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|
@ -472,15 +449,13 @@ def show_backtest_results(config: Config, backtest_stats: BacktestResultType):
|
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if len(backtest_stats["strategy"]) > 0:
|
if len(backtest_stats["strategy"]) > 0:
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# Print Strategy summary table
|
# Print Strategy summary table
|
||||||
|
|
||||||
table = text_table_strategy(backtest_stats["strategy_comparison"], stake_currency)
|
|
||||||
print(
|
print(
|
||||||
f"Backtested {results['backtest_start']} -> {results['backtest_end']} |"
|
f"Backtested {results['backtest_start']} -> {results['backtest_end']} |"
|
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f" Max open trades : {results['max_open_trades']}"
|
f" Max open trades : {results['max_open_trades']}"
|
||||||
)
|
)
|
||||||
print(" STRATEGY SUMMARY ".center(len(table.splitlines()[0]), "="))
|
text_table_strategy(
|
||||||
print(table)
|
backtest_stats["strategy_comparison"], stake_currency, "STRATEGY SUMMARY"
|
||||||
print("=" * len(table.splitlines()[0]))
|
)
|
||||||
print("\nFor more details, please look at the detail tables above")
|
|
||||||
|
|
||||||
|
|
||||||
def show_sorted_pairlist(config: Config, backtest_stats: BacktestResultType):
|
def show_sorted_pairlist(config: Config, backtest_stats: BacktestResultType):
|
||||||
|
@ -493,8 +468,7 @@ def show_sorted_pairlist(config: Config, backtest_stats: BacktestResultType):
|
||||||
print("]")
|
print("]")
|
||||||
|
|
||||||
|
|
||||||
def generate_edge_table(results: dict) -> str:
|
def generate_edge_table(results: dict) -> None:
|
||||||
floatfmt = ("s", ".10g", ".2f", ".2f", ".2f", ".2f", "d", "d", "d")
|
|
||||||
tabular_data = []
|
tabular_data = []
|
||||||
headers = [
|
headers = [
|
||||||
"Pair",
|
"Pair",
|
||||||
|
@ -512,17 +486,13 @@ def generate_edge_table(results: dict) -> str:
|
||||||
tabular_data.append(
|
tabular_data.append(
|
||||||
[
|
[
|
||||||
result[0],
|
result[0],
|
||||||
result[1].stoploss,
|
f"{result[1].stoploss:.10g}",
|
||||||
result[1].winrate,
|
f"{result[1].winrate:.2f}",
|
||||||
result[1].risk_reward_ratio,
|
f"{result[1].risk_reward_ratio:.2f}",
|
||||||
result[1].required_risk_reward,
|
f"{result[1].required_risk_reward:.2f}",
|
||||||
result[1].expectancy,
|
f"{result[1].expectancy:.2f}",
|
||||||
result[1].nb_trades,
|
result[1].nb_trades,
|
||||||
round(result[1].avg_trade_duration),
|
round(result[1].avg_trade_duration),
|
||||||
]
|
]
|
||||||
)
|
)
|
||||||
|
print_rich_table(tabular_data, headers, summary="EDGE TABLE")
|
||||||
# Ignore type as floatfmt does allow tuples but mypy does not know that
|
|
||||||
return tabulate(
|
|
||||||
tabular_data, headers=headers, floatfmt=floatfmt, tablefmt="orgtbl", stralign="right"
|
|
||||||
)
|
|
||||||
|
|
|
@ -15,10 +15,11 @@ def print_rich_table(
|
||||||
headers: Sequence[str],
|
headers: Sequence[str],
|
||||||
summary: Optional[str] = None,
|
summary: Optional[str] = None,
|
||||||
*,
|
*,
|
||||||
|
justify="right",
|
||||||
table_kwargs: Optional[Dict[str, Any]] = None,
|
table_kwargs: Optional[Dict[str, Any]] = None,
|
||||||
) -> None:
|
) -> None:
|
||||||
table = Table(
|
table = Table(
|
||||||
*[c if isinstance(c, Column) else Column(c, justify="right") for c in headers],
|
*[c if isinstance(c, Column) else Column(c, justify=justify) for c in headers],
|
||||||
title=summary,
|
title=summary,
|
||||||
**(table_kwargs or {}),
|
**(table_kwargs or {}),
|
||||||
)
|
)
|
||||||
|
|
|
@ -59,7 +59,7 @@ def _backup_file(file: Path, copy_file: bool = False) -> None:
|
||||||
copyfile(file_swp, file)
|
copyfile(file_swp, file)
|
||||||
|
|
||||||
|
|
||||||
def test_text_table_bt_results():
|
def test_text_table_bt_results(capsys):
|
||||||
results = pd.DataFrame(
|
results = pd.DataFrame(
|
||||||
{
|
{
|
||||||
"pair": ["ETH/BTC", "ETH/BTC", "ETH/BTC"],
|
"pair": ["ETH/BTC", "ETH/BTC", "ETH/BTC"],
|
||||||
|
@ -72,7 +72,8 @@ def test_text_table_bt_results():
|
||||||
pair_results = generate_pair_metrics(
|
pair_results = generate_pair_metrics(
|
||||||
["ETH/BTC"], stake_currency="BTC", starting_balance=4, results=results
|
["ETH/BTC"], stake_currency="BTC", starting_balance=4, results=results
|
||||||
)
|
)
|
||||||
text = text_table_bt_results(pair_results, stake_currency="BTC")
|
text_table_bt_results(pair_results, stake_currency="BTC", title="title")
|
||||||
|
text = capsys.readouterr().out
|
||||||
re.search(
|
re.search(
|
||||||
r".* Pair .* Trades .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
r".* Pair .* Trades .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
||||||
r"Avg Duration .* Win Draw Loss Win% .*",
|
r"Avg Duration .* Win Draw Loss Win% .*",
|
||||||
|
@ -435,7 +436,7 @@ def test_calc_streak(testdatadir):
|
||||||
assert calc_streak(bt_data) == (7, 18)
|
assert calc_streak(bt_data) == (7, 18)
|
||||||
|
|
||||||
|
|
||||||
def test_text_table_exit_reason():
|
def test_text_table_exit_reason(capsys):
|
||||||
results = pd.DataFrame(
|
results = pd.DataFrame(
|
||||||
{
|
{
|
||||||
"pair": ["ETH/BTC", "ETH/BTC", "ETH/BTC"],
|
"pair": ["ETH/BTC", "ETH/BTC", "ETH/BTC"],
|
||||||
|
@ -452,7 +453,8 @@ def test_text_table_exit_reason():
|
||||||
exit_reason_stats = generate_tag_metrics(
|
exit_reason_stats = generate_tag_metrics(
|
||||||
"exit_reason", starting_balance=22, results=results, skip_nan=False
|
"exit_reason", starting_balance=22, results=results, skip_nan=False
|
||||||
)
|
)
|
||||||
text = text_table_tags("exit_tag", exit_reason_stats, "BTC")
|
text_table_tags("exit_tag", exit_reason_stats, "BTC")
|
||||||
|
text = capsys.readouterr().out
|
||||||
|
|
||||||
assert re.search(
|
assert re.search(
|
||||||
r".* Exit Reason .* Exits .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
r".* Exit Reason .* Exits .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
||||||
|
@ -460,11 +462,11 @@ def test_text_table_exit_reason():
|
||||||
text,
|
text,
|
||||||
)
|
)
|
||||||
assert re.search(
|
assert re.search(
|
||||||
r".* roi .* 2 .* 15.00 .* 0.60000000 .* 2.73 .* 0:20:00 .* 2 0 0 100 .*",
|
r".* roi .* 2 .* 15.0 .* 0.60000000 .* 2.73 .* 0:20:00 .* 2 0 0 100 .*",
|
||||||
text,
|
text,
|
||||||
)
|
)
|
||||||
assert re.search(
|
assert re.search(
|
||||||
r".* stop_loss .* 1 .* -10.00 .* -0.20000000 .* -0.91 .* 0:10:00 .* 0 0 1 0 .*",
|
r".* stop_loss .* 1 .* -10.0 .* -0.20000000 .* -0.91 .* 0:10:00 .* 0 0 1 0 .*",
|
||||||
text,
|
text,
|
||||||
)
|
)
|
||||||
assert re.search(
|
assert re.search(
|
||||||
|
@ -507,7 +509,7 @@ def test_generate_sell_reason_stats():
|
||||||
assert stop_result["profit_mean_pct"] == round(stop_result["profit_mean"] * 100, 2)
|
assert stop_result["profit_mean_pct"] == round(stop_result["profit_mean"] * 100, 2)
|
||||||
|
|
||||||
|
|
||||||
def test_text_table_strategy(testdatadir):
|
def test_text_table_strategy(testdatadir, capsys):
|
||||||
filename = testdatadir / "backtest_results/backtest-result_multistrat.json"
|
filename = testdatadir / "backtest_results/backtest-result_multistrat.json"
|
||||||
bt_res_data = load_backtest_stats(filename)
|
bt_res_data = load_backtest_stats(filename)
|
||||||
|
|
||||||
|
@ -515,8 +517,10 @@ def test_text_table_strategy(testdatadir):
|
||||||
|
|
||||||
strategy_results = generate_strategy_comparison(bt_stats=bt_res_data["strategy"])
|
strategy_results = generate_strategy_comparison(bt_stats=bt_res_data["strategy"])
|
||||||
assert strategy_results == bt_res_data_comparison
|
assert strategy_results == bt_res_data_comparison
|
||||||
text = text_table_strategy(strategy_results, "BTC")
|
text_table_strategy(strategy_results, "BTC", "STRATEGY SUMMARY")
|
||||||
|
|
||||||
|
captured = capsys.readouterr()
|
||||||
|
text = captured.out
|
||||||
assert re.search(
|
assert re.search(
|
||||||
r".* Strategy .* Trades .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
r".* Strategy .* Trades .* Avg Profit % .* Tot Profit BTC .* Tot Profit % .* "
|
||||||
r"Avg Duration .* Win Draw Loss Win% .* Drawdown .*",
|
r"Avg Duration .* Win Draw Loss Win% .* Drawdown .*",
|
||||||
|
@ -534,12 +538,12 @@ def test_text_table_strategy(testdatadir):
|
||||||
)
|
)
|
||||||
|
|
||||||
|
|
||||||
def test_generate_edge_table():
|
def test_generate_edge_table(capsys):
|
||||||
results = {}
|
results = {}
|
||||||
results["ETH/BTC"] = PairInfo(-0.01, 0.60, 2, 1, 3, 10, 60)
|
results["ETH/BTC"] = PairInfo(-0.01, 0.60, 2, 1, 3, 10, 60)
|
||||||
text = generate_edge_table(results)
|
generate_edge_table(results)
|
||||||
assert text.count("+") == 7
|
text = capsys.readouterr().out
|
||||||
assert text.count("| ETH/BTC |") == 1
|
assert re.search(r".* ETH/BTC .*", text)
|
||||||
assert re.search(r".* Risk Reward Ratio .* Required Risk Reward .* Expectancy .*", text)
|
assert re.search(r".* Risk Reward Ratio .* Required Risk Reward .* Expectancy .*", text)
|
||||||
|
|
||||||
|
|
||||||
|
|
Loading…
Reference in New Issue
Block a user