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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 Welcome to The QuantConnect Research Page
Refer to this page for documentation https
Step1:  Historical Data Requests
We can use the QuantConnect API to make Historical Data Requests. The data will be presented as multi-index pandas.DataFrame where the first index is the Symbol.
For more information, please follow the link.
Step2:  Indicators
We can easily get the indicator of a given symbol with QuantBook. 
For all indicators, please checkout QuantConnect Indicators Reference Table
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Python Code:
# Load in our startup script, required to set runtime for PythonNet
%run ../start.py
# Create an instance
qb = QuantBook()
# Select asset data
spy = qb.AddEquity("SPY")
Explanation: Welcome to The QuantConnect Research Page
Refer to this page for documentation https://www.quantconnect.com/docs/research/overview
Contribute to this template file https://github.com/QuantConnect/Lean/blob/master/Research/BasicQuantBookTemplate.ipynb
QuantBook Basics
Start QuantBook
Add the references and imports
Create a QuantBook instance
End of explanation
# Gets historical data from the subscribed assets, the last 360 datapoints with daily resolution
h1 = qb.History(qb.Securities.Keys, 360, Resolution.Daily)
# Plot closing prices from "SPY" 
h1.loc["SPY"]["close"].plot()
Explanation: Historical Data Requests
We can use the QuantConnect API to make Historical Data Requests. The data will be presented as multi-index pandas.DataFrame where the first index is the Symbol.
For more information, please follow the link.
End of explanation
# Example with BB, it is a datapoint indicator
# Define the indicator
bb = BollingerBands(30, 2)
# Gets historical data of indicator
bbdf = qb.Indicator(bb, "SPY", 360, Resolution.Daily)
# drop undesired fields
bbdf = bbdf.drop('standarddeviation', 1)
# Plot
bbdf.plot()
Explanation: Indicators
We can easily get the indicator of a given symbol with QuantBook. 
For all indicators, please checkout QuantConnect Indicators Reference Table
End of explanation
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