From 18b6f374d6ee1d189a996c459b5c9e98f9f0a060 Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Tue, 10 Jun 2025 07:06:31 +0200
Subject: [PATCH] chore: remove edge_cli module

---
 freqtrade/optimize/edge_cli.py                | 55 -------------------
 .../optimize/optimize_reports/__init__.py     |  1 -
 .../optimize/optimize_reports/bt_output.py    | 30 ----------
 3 files changed, 86 deletions(-)
 delete mode 100644 freqtrade/optimize/edge_cli.py

diff --git a/freqtrade/optimize/edge_cli.py b/freqtrade/optimize/edge_cli.py
deleted file mode 100644
index 65dd30efc..000000000
--- a/freqtrade/optimize/edge_cli.py
+++ /dev/null
@@ -1,55 +0,0 @@
-# pragma pylint: disable=missing-docstring, W0212, too-many-arguments
-
-"""
-This module contains the edge backtesting interface
-"""
-
-import logging
-
-from freqtrade import constants
-from freqtrade.configuration import TimeRange, validate_config_consistency
-from freqtrade.constants import Config
-from freqtrade.data.dataprovider import DataProvider
-from freqtrade.edge import Edge
-from freqtrade.optimize.optimize_reports import generate_edge_table
-from freqtrade.resolvers import ExchangeResolver, StrategyResolver
-
-
-logger = logging.getLogger(__name__)
-
-
-class EdgeCli:
-    """
-    EdgeCli class, this class contains all the logic to run edge backtesting
-
-    To run a edge backtest:
-    edge = EdgeCli(config)
-    edge.start()
-    """
-
-    def __init__(self, config: Config) -> None:
-        self.config = config
-
-        # Ensure using dry-run
-        self.config["dry_run"] = True
-        self.config["stake_amount"] = constants.UNLIMITED_STAKE_AMOUNT
-        self.exchange = ExchangeResolver.load_exchange(self.config)
-        self.strategy = StrategyResolver.load_strategy(self.config)
-        self.strategy.dp = DataProvider(config, self.exchange)
-
-        validate_config_consistency(self.config)
-
-        self.edge = Edge(config, self.exchange, self.strategy)
-        # Set refresh_pairs to false for edge-cli (it must be true for edge)
-        self.edge._refresh_pairs = False
-
-        self.edge._timerange = TimeRange.parse_timerange(
-            None if self.config.get("timerange") is None else str(self.config.get("timerange"))
-        )
-        self.strategy.ft_bot_start()
-
-    def start(self) -> None:
-        result = self.edge.calculate(self.config["exchange"]["pair_whitelist"])
-        if result:
-            print("")  # blank line for readability
-            generate_edge_table(self.edge._cached_pairs)
diff --git a/freqtrade/optimize/optimize_reports/__init__.py b/freqtrade/optimize/optimize_reports/__init__.py
index c08bae4be..5cf8e51ad 100644
--- a/freqtrade/optimize/optimize_reports/__init__.py
+++ b/freqtrade/optimize/optimize_reports/__init__.py
@@ -1,6 +1,5 @@
 # flake8: noqa: F401
 from freqtrade.optimize.optimize_reports.bt_output import (
-    generate_edge_table,
     generate_wins_draws_losses,
     show_backtest_result,
     show_backtest_results,
diff --git a/freqtrade/optimize/optimize_reports/bt_output.py b/freqtrade/optimize/optimize_reports/bt_output.py
index c305a7b0e..193f3d8f1 100644
--- a/freqtrade/optimize/optimize_reports/bt_output.py
+++ b/freqtrade/optimize/optimize_reports/bt_output.py
@@ -499,33 +499,3 @@ def show_sorted_pairlist(config: Config, backtest_stats: BacktestResultType):
                 if result["key"] != "TOTAL":
                     print(f'"{result["key"]}",  // {result["profit_mean"]:.2%}')
             print("]")
-
-
-def generate_edge_table(results: dict) -> None:
-    tabular_data = []
-    headers = [
-        "Pair",
-        "Stoploss",
-        "Win Rate",
-        "Risk Reward Ratio",
-        "Required Risk Reward",
-        "Expectancy",
-        "Total Number of Trades",
-        "Average Duration (min)",
-    ]
-
-    for result in results.items():
-        if result[1].nb_trades > 0:
-            tabular_data.append(
-                [
-                    result[0],
-                    f"{result[1].stoploss:.10g}",
-                    f"{result[1].winrate:.2f}",
-                    f"{result[1].risk_reward_ratio:.2f}",
-                    f"{result[1].required_risk_reward:.2f}",
-                    f"{result[1].expectancy:.2f}",
-                    result[1].nb_trades,
-                    round(result[1].avg_trade_duration),
-                ]
-            )
-    print_rich_table(tabular_data, headers, summary="EDGE TABLE")