diff --git a/docs/plotting.md b/docs/plotting.md
index 80ab6866e..ae964fb16 100644
--- a/docs/plotting.md
+++ b/docs/plotting.md
@@ -43,6 +43,10 @@ python scripts/plot_dataframe.py -p BTC_ETH --timerange=100-200
 ```
 Timerange doesn't work with live data.
 
+To plot trades stored in a database use `--db-url` argument:
+```
+python scripts/plot_dataframe.py --db-url tradesv3.dry_run.sqlite -p BTC_ETH
+```
 
 ## Plot profit
 
diff --git a/freqtrade/arguments.py b/freqtrade/arguments.py
index 357bcb937..afcb05511 100644
--- a/freqtrade/arguments.py
+++ b/freqtrade/arguments.py
@@ -260,6 +260,13 @@ class Arguments(object):
             default=None
         )
 
+        self.parser.add_argument(
+            '-db', '--db-url',
+            help='Show trades stored in database.',
+            dest='db_url',
+            default=None
+        )
+
     def testdata_dl_options(self) -> None:
         """
         Parses given arguments for testdata download
diff --git a/scripts/plot_dataframe.py b/scripts/plot_dataframe.py
index 6d14fb596..108c0b609 100755
--- a/scripts/plot_dataframe.py
+++ b/scripts/plot_dataframe.py
@@ -10,6 +10,7 @@ Optional Cli parameters
 -d / --datadir: path to pair backtest data
 --timerange: specify what timerange of data to use.
 -l / --live: Live, to download the latest ticker for the pair
+-db / --db-url: Show trades stored in database
 """
 import logging
 import sys
@@ -21,13 +22,18 @@ from plotly import tools
 from plotly.offline import plot
 import plotly.graph_objs as go
 
+from typing import Dict, List, Any
+from sqlalchemy import create_engine
+
 from freqtrade.arguments import Arguments
 from freqtrade.analyze import Analyze
 from freqtrade import exchange
 import freqtrade.optimize as optimize
+from freqtrade import persistence
+from freqtrade.persistence import Trade
 
 logger = logging.getLogger(__name__)
-
+_CONF: Dict[str, Any] = {}
 
 def plot_analyzed_dataframe(args: Namespace) -> None:
     """
@@ -68,6 +74,12 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     dataframe = analyze.populate_buy_trend(dataframe)
     dataframe = analyze.populate_sell_trend(dataframe)
 
+    trades = []
+    if args.db_url:
+        engine = create_engine('sqlite:///' + args.db_url)
+        persistence.init(_CONF, engine)
+        trades = Trade.query.filter(Trade.pair.is_(pair)).all()
+
     if len(dataframe.index) > 750:
         logger.warning('Ticker contained more than 750 candles, clipping.')
     data = dataframe.tail(750)
@@ -108,6 +120,31 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
         )
     )
 
+    trade_buys = go.Scattergl(
+        x=[t.open_date.isoformat() for t in trades],
+        y=[t.open_rate for t in trades],
+        mode='markers',
+        name='trade_buy',
+        marker=dict(
+            symbol='square-open',
+            size=11,
+            line=dict(width=2),
+            color='green'
+        )
+    )
+    trade_sells = go.Scattergl(
+        x=[t.close_date.isoformat() for t in trades],
+        y=[t.close_rate for t in trades],
+        mode='markers',
+        name='trade_sell',
+        marker=dict(
+            symbol='square-open',
+            size=11,
+            line=dict(width=2),
+            color='red'
+        )
+    )
+
     bb_lower = go.Scatter(
         x=data.date,
         y=data.bb_lowerband,
@@ -142,6 +179,8 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     fig.append_trace(volume, 2, 1)
     fig.append_trace(macd, 3, 1)
     fig.append_trace(macdsignal, 3, 1)
+    fig.append_trace(trade_buys, 1, 1)
+    fig.append_trace(trade_sells, 1, 1)
 
     fig['layout'].update(title=args.pair)
     fig['layout']['yaxis1'].update(title='Price')