Extract time series of 50D moving average and price close for a list of stocks

Hemant

I am interested in getting a timeseries of 50D moving average and price close for a list of stocks
We have the

tickerlist_str =

"'AADA.NS','ABB.NS','ABOT.NS','ABUJ.NS','ACC.NS','ACEL.NS','ACMO.NS','ADAG.NS','ADAI.NS','ADAN.NS'"

technical_averages = ['TR.Price50DayAverage', 'TR.PriceClose']
tech_avg_df = ld.get_history( universe=tickerlist_str,        fields= technical_averages,  start="2025-01-01", end="2026-01-31",  interval='ID') 

Jirapongse

@Hemant

Thank you for reaching out to us.

I checked and found the TR.Price50DayAverage field doesn't support timeseries data. Therefore, you need to calculate a timeseries of 50D moving average from the retrieved close prices.

For example:

df = ld.get_history(
    universe = ['ADAN.NS'],
    fields = ['TR.PriceClose'],
    start="2025-01-01", 
    end="2026-01-31",  
    interval='1D') 
df['SMA_50'] = df['Price Close'].rolling(window=50).mean()
df

You can also refer to this Create Technical Analysis triggers and signals using the LSEG Data Library for Python article.