From e70cb963f7cc9f82336c2fa07875b97d31e74c94 Mon Sep 17 00:00:00 2001
From: xmatthias <xmatthias@outlook.com>
Date: Sun, 24 Jun 2018 17:00:00 +0200
Subject: [PATCH] document what to do with exported backtest results

---
 docs/backtesting.md               | 28 ++++++++++++++++++++++++++++
 freqtrade/optimize/backtesting.py |  3 ---
 2 files changed, 28 insertions(+), 3 deletions(-)

diff --git a/docs/backtesting.md b/docs/backtesting.md
index 1efb46b43..172969ae2 100644
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@@ -70,6 +70,34 @@ Where `-s TestStrategy` refers to the class name within the strategy file `test_
 python3 ./freqtrade/main.py backtesting --export trades
 ```
 
+The exported trades can be read using the following code for manual analysis, or can be used by the plotting script `plot_dataframe.py` in the scripts folder.
+
+``` python
+import json
+from pathlib import Path
+import pandas as pd
+
+filename=Path('user_data/backtest_data/backtest-result.json')
+
+with filename.open() as file:
+        data = json.load(file)
+
+columns = ["pair", "profit", "opents", "closets", "index", "duration",
+           "open_rate", "close_rate", "open_at_end"]
+df = pd.DataFrame(data, columns=columns)
+
+df['opents'] = pd.to_datetime(df['opents'],
+                              unit='s',
+                              utc=True,
+                              infer_datetime_format=True
+                             )
+df['closets'] = pd.to_datetime(df['closets'],
+                               unit='s',
+                               utc=True,
+                               infer_datetime_format=True
+                              )
+```
+
 #### Exporting trades to file specifying a custom filename
 
 ```bash
diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index b5ed9b167..70f6168a4 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -117,9 +117,6 @@ class Backtesting(object):
 
     def _store_backtest_result(self, recordfilename: Optional[str], results: DataFrame) -> None:
 
-        # columns = ["pair", "profit", "opents", "closets", "index", "duration",
-        # "open_rate", "close_rate", "open_at_end"]
-
         records = [(t.pair, t.profit_percent, t.open_time.timestamp(),
                     t.close_time.timestamp(), t.open_index - 1, t.trade_duration,
                     t.open_rate, t.close_rate, t.open_at_end)