diff --git a/backtesting/_plotting.py b/backtesting/_plotting.py
index bec6757a..424dd18a 100644
--- a/backtesting/_plotting.py
+++ b/backtesting/_plotting.py
@@ -523,6 +523,10 @@ def __eq__(self, other):
             colors = colors and cycle(_as_list(colors)) or (
                 cycle([next(ohlc_colors)]) if is_overlay else colorgen())
             legend_label = LegendStr(value.name)
+            indicator_max = value.df.max(axis='columns')
+            indicator_min = value.df.min(axis='columns')
+            source.add(indicator_max, f'indicator_{i}_range_max')
+            source.add(indicator_min, f'indicator_{i}_range_min')
             for j, arr in enumerate(value, 1):
                 color = next(colors)
                 source_name = f'{legend_label}_{i}_{j}'
@@ -609,7 +613,11 @@ def __eq__(self, other):
                           source=source)
     if plot_volume:
         custom_js_args.update(volume_range=fig_volume.y_range)
-
+    indicator_ranges = {}
+    for idx, indicator in enumerate(indicator_figs):
+        indicator_range_key = f'indicator_{idx}_range'
+        indicator_ranges.update({indicator_range_key: indicator.y_range})
+    custom_js_args.update({'indicator_ranges': indicator_ranges})
     fig_ohlc.x_range.js_on_change('end', CustomJS(args=custom_js_args,
                                                   code=_AUTOSCALE_JS_CALLBACK))
 
diff --git a/backtesting/autoscale_cb.js b/backtesting/autoscale_cb.js
index da888ecf..63135615 100644
--- a/backtesting/autoscale_cb.js
+++ b/backtesting/autoscale_cb.js
@@ -31,5 +31,18 @@ window._bt_autoscale_timeout = setTimeout(function () {
         max = Math.max.apply(null, source.data['Volume'].slice(i, j));
         _bt_scale_range(volume_range, 0, max * 1.03, false);
     }
+    
+    if(indicator_ranges){
+        let keys = Object.keys(indicator_ranges);
+        for(var count=0;count<keys.length;count++){
+            if(keys[count]){
+                max = Math.max.apply(null, source.data[keys[count]+'_max'].slice(i, j));
+                min = Math.min.apply(null, source.data[keys[count]+'_min'].slice(i, j));
+                if(min && max){
+                    _bt_scale_range(indicator_ranges[keys[count]], min, max, true);
+                }    
+            }
+        }
+    }
 
 }, 50);