From dd430455e411bdfae6bef3162d03e3c893b2e883 Mon Sep 17 00:00:00 2001
From: Matthias <xmatthias@outlook.com>
Date: Sat, 8 Aug 2020 17:04:32 +0200
Subject: [PATCH] Enable dataprovier for hyperopt

---
 freqtrade/optimize/backtesting.py |  5 ++---
 freqtrade/optimize/hyperopt.py    | 15 +++++++++------
 2 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index 214c92e0e..d058493cf 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -65,9 +65,8 @@ class Backtesting:
         self.strategylist: List[IStrategy] = []
         self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)
 
-        if self.config.get('runmode') != RunMode.HYPEROPT:
-            self.dataprovider = DataProvider(self.config, self.exchange)
-            IStrategy.dp = self.dataprovider
+        dataprovider = DataProvider(self.config, self.exchange)
+        IStrategy.dp = dataprovider
 
         if self.config.get('strategy_list', None):
             for strat in list(self.config['strategy_list']):
diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 153ae3861..9bc0dadc0 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -4,26 +4,26 @@
 This module contains the hyperopt logic
 """
 
+import io
 import locale
 import logging
 import random
 import warnings
-from math import ceil
 from collections import OrderedDict
+from math import ceil
 from operator import itemgetter
+from os import path
 from pathlib import Path
 from pprint import pformat
 from typing import Any, Dict, List, Optional
 
+import progressbar
 import rapidjson
+import tabulate
 from colorama import Fore, Style
 from joblib import (Parallel, cpu_count, delayed, dump, load,
                     wrap_non_picklable_objects)
-from pandas import DataFrame, json_normalize, isna
-import progressbar
-import tabulate
-from os import path
-import io
+from pandas import DataFrame, isna, json_normalize
 
 from freqtrade.data.converter import trim_dataframe
 from freqtrade.data.history import get_timerange
@@ -35,6 +35,7 @@ from freqtrade.optimize.hyperopt_interface import IHyperOpt  # noqa: F401
 from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss  # noqa: F401
 from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
                                                    HyperOptResolver)
+from freqtrade.strategy import IStrategy
 
 # Suppress scikit-learn FutureWarnings from skopt
 with warnings.catch_warnings():
@@ -634,6 +635,8 @@ class Hyperopt:
         # We don't need exchange instance anymore while running hyperopt
         self.backtesting.exchange = None  # type: ignore
         self.backtesting.pairlists = None  # type: ignore
+        self.backtesting.strategy.dp = None  # type: ignore
+        IStrategy.dp = None  # type: ignore
 
         self.epochs = self.load_previous_results(self.results_file)