technical-analysis | technical analysis scripts code | Business library

The solution can be found in the documentation you linked. The keyword in this case is class.

From the documentation:

class ta.volatility.AverageTrueRange (...)

...

average_true_range() -> pandas.core.series.Series

So you are currently just creating a class holding parameters for creating your desired output. However, you are not calling the function (average_true_range()) that actually calulates and returns the Seriesyou can add to your DataFrame. Therefore, change your code as shown below to add the atr series to your DataFrame.

Looking at the page you have linked, the list items you are targeting are not actually in the document response itself but later loaded into the DOM by JavaScript.

To access these I'd recommend looking at scrapy's documentation on Selecting dynamically-loaded content. The section that applies here in particuler is the Parsing JavaScript code section.

Following the second example, we can use chompjs (you'll need to first install it with pip) to extract the JavaScript data, unescape the html string, and then load it into scrapy for parsing. e.g.:

I've added a wrapper div around your widgets and gave that wrapper display: flex; see https://css-tricks.com/snippets/css/a-guide-to-flexbox/ for more information about flexbox

It seems that the method StochasticOscillator expects time series, with single column. But, when you have built your dataframe from web.DataReader, it gave you as much column as tickers.

So you just have to iterate over the tickers, and append the output time series to a new dataframe :

You're misreading the signature, it's lbp=14:

I have found a way to do what I want. Instead of using the barh function, one can use the fill function instead.

A minimal, reproducible example given below.