added support to defined custom clipping

freqtrade/arguments.py

@@ -291,7 +291,16 @@ class Arguments(object):
             default=None,
             nargs='+',
             type=str
+        )
 
+
+        self.parser.add_argument(
+            '--plot-dataframe-marker',
+            help='Renders the specified dataframes as markers',
+            dest='plotdataframemarker',
+            default=None,
+            nargs='+',
+            type=str
         )
 
         self.parser.add_argument(
@@ -302,5 +311,12 @@ class Arguments(object):
         )
 
 
+        self.parser.add_argument(
+            '--plot-max-ticks',
+            help='specify an upper limit of how many ticks we can display',
+            dest='plotticks',
+            default=750,
+            type=int
+        )
 
 

scripts/plot_dataframe.py

@@ -39,9 +39,10 @@ def plot_dataframes(data, fig, args):
     :return:
     """
 
-    for x in args.plotdataframe:
-        chart = go.Scattergl(x=data['date'], y=data[x], name=x)
-        fig.append_trace(chart, 1, 1)
+    if args.plotdataframe:
+        for x in args.plotdataframe:
+            chart = go.Scattergl(x=data['date'], y=data[x], name=x)
+            fig.append_trace(chart, 1, 1)
 
 
 def plot_volume_dataframe(data, fig, args, plotnumber):
@@ -114,6 +115,9 @@ def plot_stop_loss_trade(df_sell, fig, analyze, args):
     if args.stoplossdisplay is False:
         return
 
+    if 'associated_buy_price' not in df_sell:
+        return
+
     stoploss = analyze.strategy.stoploss
 
     for index, x in df_sell.iterrows():
@@ -231,9 +235,9 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
     dataframe = analyze.populate_buy_trend(dataframe)
     dataframe = analyze.populate_sell_trend(dataframe)
 
-    if len(dataframe.index) > 750:
-        logger.warning('Ticker contained more than 750 candles, clipping.')
-    data = dataframe.tail(750)
+    if len(dataframe.index) > args.plotticks:
+        logger.warning('Ticker contained more than {} candles, clipping.'.format(args.plotticks))
+    data = dataframe.tail(args.plotticks)
 
     candles = go.Candlestick(
         x=data.date,