Stock Option Screener in Python
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- Опубликовано: 22 авг 2024
- Today we build a simple Python script for screening stock options.
DISCLAIMER: This is not investing advice. I am not a professional who is qualified in giving any financial advice. This is a video purely about programming using financial data.
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idk what is this but it looks cool
Awsome video! Could you do a video showing how to buy/sell options with a live bot? thank you
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.
Excellent Video!!!
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.
Python upvote here
calls['Implied Volatility'] = chain['Implied Volatility'].str.rstrip('%').astype('float')/100.0
Awesome 👍
Nice video !!!
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.
can i use the script on django for online filtering via web
Any ideas why I am getting "ModuleNotFoundError: No module named 'yahoo_fin'"?
Did you resolve it in the meantime? If not: Which program are you using?
@@Banause09 nope sorry was not able to find a solution
Did you remember to use "pip install yahoo_fin" before using it in an import?
1st watch!
My time is 22:03