target price of S&P500 listed firm

pan.yiming

How to get all target price of S&P500 listed firm in from 2000 to 2022?

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Accepted answers

raksina.samasiri

Hi @pan.yiming ,

First create a list of date you want to retrieve the data

import pandas as pd
import time
import refinitiv.data as rd
rd.open_session()

m = 'Dec'
start_y = 2000
end_y = 2022

start = pd.to_datetime(f'{m}{start_y}', format='%b%Y')
end = pd.to_datetime(f'{m}{end_y+1}', format='%b%Y')

date_list = pd.date_range(start, end, freq='Y')
date_list

Then from each date, use get_data function to retrieve the list of constituents on that date

for date in date_list:
    print(date)
    index_data = rd.get_data(f'0#.SPX({date.strftime("%Y%m%d")})',['TR.RIC'])
    display(index_data)
    time.sleep(1)

After you retrieve the constituents, depending on which format of the data you want, you can retrieve the target price data with get_data function.

Please let me know in case you have any further question

All comments

raksina.samasiri

Hi @pan.yiming ,

Is this what you're looking for?

here's to get the S&P500 constituents list as of 31 December 2022, you could loop through the dates that you want the data and put the date in the bracket right after the RIC name (replace the date 20221231 in the code below)

index_data = rd.get_data('0#.SPX(20221231)',['TR.RIC', 'TR.PriceTargetMedian','TR.PriceTargetMean','TR.PriceTargetNumIncEstimates'])
index_data

However, there's an article Building historical index constituents, which explain the process of building historical constituents of a market index, underscoring its importance for investors, researchers, and various participants in the financial markets.

pan.yiming

Yes, it is. Could you please share the complete code with me?

raksina.samasiri

Hi @pan.yiming ,

First create a list of date you want to retrieve the data

import pandas as pd
import time
import refinitiv.data as rd
rd.open_session()

m = 'Dec'
start_y = 2000
end_y = 2022

start = pd.to_datetime(f'{m}{start_y}', format='%b%Y')
end = pd.to_datetime(f'{m}{end_y+1}', format='%b%Y')

date_list = pd.date_range(start, end, freq='Y')
date_list

Then from each date, use get_data function to retrieve the list of constituents on that date

for date in date_list:
    print(date)
    index_data = rd.get_data(f'0#.SPX({date.strftime("%Y%m%d")})',['TR.RIC'])
    display(index_data)
    time.sleep(1)

After you retrieve the constituents, depending on which format of the data you want, you can retrieve the target price data with get_data function.

Please let me know in case you have any further question

raksina.samasiri

Or you could create a Python dictionary with the list of Constituents of each date, then use this dict for further data retrieval

for example,

constituents_dict = {}
for date in date_list:
    print(date)
    index_data = rd.get_data(f'0#.SPX({date.strftime("%Y%m%d")})',['TR.RIC'])
    constituents_dict[date] = index_data['RIC'].to_list()
    time.sleep(1)

The Python dict will be in format of {Date: [list of Constituents], ...}

pan.yiming

Thank you so much. Do you know how to get the Eikon data API key?

raksina.samasiri

Hi @pan.yiming ,

You're welcome.

The code I suggested is using Refinitiv Data Library for Python, which is the newestand strategic python library for retrieving data from the Data Platform. More detail can be found in article Summary of Common LSEG Refinitiv APIs

You may follow the quick start guide to start using the Data Library and the example code can be found here

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