How to display a custom chart in the Research environment?

Hey No Name,

you can access the drawdown chart the following way:

import json
import pandas as pd
import plotly.express as px

with open("C:/Users/...") as data_file:    
    data = json.load(data_file)  

if "Strategy Equity" in data["Charts"] and "Benchmark" in data["Charts"]:
    strategySeries = data["Charts"]["Strategy Equity"]["Series"]["Equity"]["Values"] 
    benchmarkSeries = data["Charts"]["Benchmark"]["Series"]["Benchmark"]["Values"] 
    drawdownSeries = data["Charts"]["Drawdown"]["Series"]["Equity Drawdown"]["Values"]
df_drawdown = pd.DataFrame(drawdownSeries).set_index('x')

drawdown = df_drawdown.set_index(pd.to_datetime(df_drawdown.index, unit='s'))

strategy = drawdown.reset_index()
df = strategy

fig = px.line(df, x='x', y=df.columns)

fig.show()

Hope it helps ;)

Thank you Nico! I was thinking there would be a QuantBook function like chart.show() , but using plotly works as well.