diff --git a/qlib/contrib/report/analysis_model/analysis_model_performance.py b/qlib/contrib/report/analysis_model/analysis_model_performance.py
index 1cb14d261..1d444b104 100644
--- a/qlib/contrib/report/analysis_model/analysis_model_performance.py
+++ b/qlib/contrib/report/analysis_model/analysis_model_performance.py
@@ -3,7 +3,6 @@
 
 import pandas as pd
 
-import plotly.tools as tls
 import plotly.graph_objs as go
 
 import statsmodels.api as sm
@@ -80,9 +79,37 @@ def _plot_qq(data: pd.Series = None, dist=stats.norm) -> go.Figure:
     :param dist:
     :return:
     """
-    fig, ax = plt.subplots(figsize=(8, 5))
-    _mpl_fig = sm.qqplot(data.dropna(), dist, fit=True, line="45", ax=ax)
-    return tls.mpl_to_plotly(_mpl_fig)
+    _plt_fig = sm.qqplot(data.dropna(), dist=dist, fit=True, line="45")
+    plt.close(_plt_fig)
+    qqplot_data = _plt_fig.gca().lines
+    fig = go.Figure()
+
+    fig.add_trace({
+        'type': 'scatter',
+        'x': qqplot_data[0].get_xdata(),
+        # 'x': [0, 1],
+        'y': qqplot_data[0].get_ydata(),
+        # 'y': [1, 2],
+        'mode': 'markers',
+        'marker': {
+            'color': '#19d3f3'
+        }
+    })
+
+    fig.add_trace({
+        'type': 'scatter',
+        'x': qqplot_data[1].get_xdata(),
+        # 'x': [0, 1],
+        'y': qqplot_data[1].get_ydata(),
+        # 'y': [1, 2],
+        'mode': 'lines',
+        'line': {
+            'color': '#636efa'
+        }
+
+    })
+    del qqplot_data
+    return fig
 
 
 def _pred_ic(pred_label: pd.DataFrame = None, rank: bool = False, **kwargs) -> tuple: