Coding Heatmap Opening Range Breakout Strategy in Python — Part 2

Prerequisite:

• Coding Heatmap Opening Range Breakout Strategy in Python — Part 1
• NSEPython Library

Getting the Top Gainers and Top Losers

In our last part of Opening Range, we used the nsefetch() function to fetch some NSE URLs directly. Although You can write functions using the broker’s API We will stick with NSE APIs for now.

In the last upgrade of NSEPython, We got a function named nse_get_top_gainers(). So, Let's replace our previous methodology using this function.

Now if You do –

gainers = nse_get_top_gainers()
gainers.drop(gainers.columns.difference(["symbol","high_price","low_price","ltp"]), 1, inplace=True)
gainers=gainers.head(5)
print(gainers)

You will get –

symbol
0 IBULHSGFIN
1 ADANIENT
2 BHARATFORG
3 LICHSGFIN
4 UBL

It is because the name of the columns changes in the data we get from this function.

So, just inspect the output of gainers. You may need to set the max_columns attribute to see all the table names as it will be hidden ... as it is a long output.

Check here – aeron7.github.io/nsepython/documentation/nsefetch.html#parsing-the-data-with-pandas

pd.set_option('display.max_columns', None) # or 1000