diff --git a/freqtrade/optimize/__init__.py b/freqtrade/optimize/__init__.py
index a77576a27..ac077506a 100644
--- a/freqtrade/optimize/__init__.py
+++ b/freqtrade/optimize/__init__.py
@@ -4,11 +4,9 @@ import logging
 import json
 import os
 from typing import Optional, List, Dict
+from pandas import DataFrame
 from freqtrade.exchange import get_ticker_history
 from freqtrade.optimize.hyperopt_conf import hyperopt_optimize_conf
-
-from pandas import DataFrame
-
 from freqtrade.analyze import populate_indicators, parse_ticker_dataframe
 
 logger = logging.getLogger(__name__)
@@ -50,10 +48,8 @@ def load_data(ticker_interval: int = 5, pairs: Optional[List[str]] = None,
 
 def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
     """Creates a dataframe and populates indicators for given ticker data"""
-    processed = {}
-    for pair, pair_data in tickerdata.items():
-        processed[pair] = populate_indicators(parse_ticker_dataframe(pair_data))
-    return processed
+    return {pair: populate_indicators(parse_ticker_dataframe(pair_data))
+            for pair, pair_data in tickerdata.items()}
 
 
 def testdata_path() -> str:
diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index 2684d2576..984ca3e72 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -111,14 +111,14 @@ def backtest(stake_amount: float, processed: Dict[str, DataFrame],
 
                 if min_roi_reached(trade, row2.close, row2.date) or row2.sell == 1:
                     current_profit_percent = trade.calc_profit_percent(rate=row2.close)
-                    current_profit_BTC = trade.calc_profit(rate=row2.close)
+                    current_profit_btc = trade.calc_profit(rate=row2.close)
                     lock_pair_until = row2.Index
 
                     trades.append(
                         (
                             pair,
                             current_profit_percent,
-                            current_profit_BTC,
+                            current_profit_btc,
                             row2.Index - row.Index
                         )
                     )
diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index dcdafc946..686f15a17 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -118,8 +118,7 @@ def optimizer(params):
     backtesting.populate_buy_trend = buy_strategy_generator(params)
 
     results = backtest(OPTIMIZE_CONFIG['stake_amount'], PROCESSED)
-
-    result = format_results(results)
+    result_explanation = format_results(results)
 
     total_profit = results.profit_percent.sum()
     trade_count = len(results.index)
@@ -135,20 +134,17 @@ def optimizer(params):
     loss = trade_loss + profit_loss
     _CURRENT_TRIES += 1
 
-    result_data = {
+    log_results({
         'loss': loss,
         'current_tries': _CURRENT_TRIES,
         'total_tries': TOTAL_TRIES,
-        'result': result,
-    }
-    log_results(result_data)
+        'result': result_explanation,
+    })
 
     return {
         'loss': loss,
         'status': STATUS_OK,
-        'result': result,
-        'total_profit': total_profit,
-        'avg_profit': results.profit_percent.mean() * 100.0,
+        'result': result_explanation,
     }