Stock Option Screener in Python

[@OmarHosam203]

idk what is this but it looks cool

[@patite3103]

Awsome video! Could you do a video showing how to buy/sell options with a live bot? thank you

[@k2icc]

Have you seen any way to track interest of investors in options? For example, if in any particular stock someone has been trading options on it? Thanks.

[@manuelsosa5832]

Hello I'm getting the following error session = HTMLSession() ^^^^^^^^^^^ NameError: name 'HTMLSession' is not defined Looks like some issue with yahoo_fin, any help ?

[@royce.lagomgaming]

Any ideas why I am getting "ModuleNotFoundError: No module named 'yahoo_fin'"?

[@Banause09]

Did you resolve it in the meantime? If not: Which program are you using?

[@royce.lagomgaming]

@@Banause09 nope sorry was not able to find a solution

[@richardboreiko]

Did you remember to use "pip install yahoo_fin" before using it in an import?

[@harrymagooslum5770]

Thanks for the useful tutorial that shows how to get market data and do some screening. Perhaps if one is interested in options that have a strike price that is 90 to 110 percent of the most recent trade price of the underlying stock, that would be a practical example with universal applicability. Further criteria could then be applied to find option pricing situations that look attractive per some devised strategy.

[@PD-qu8dq]

Excellent Video!!!

[@AJain-18]

Nice video !!!

[@fakedoors.]

Awesome 👍

[@siddanthshaiva7395]

Python upvote here

[@colinandrews5276]

calls['Implied Volatility'] = chain['Implied Volatility'].str.rstrip('%').astype('float')/100.0

[@richardboreiko]

Maybe breaking it down into two steps - how to access the Implied Volatility column, and then removing the % separately would work. I'm not an expert at either but that's how I like to approach problems. I understand the frustration when things don't work as expected and a solution isn't obvious. So I decided to investigate. It seems that yahoo_fin returns a dict, not a DataFrame, so you have no columns in a dict. If you convert the dict into a DataFrame, you then get columns. From that point onward, you should be able to work with the DataFrame.

[@disrael2101]

can i use the script on django for online filtering via web

[@mountaindeserver]

My time is 22:03

[@mailpython2127]

1st watch!