twitter_demos
Welcome!
Contained in this repository are the notebooks/scripts for some of the X (formerly Twitter) threads from my profile (see here).
Please note that these codes are for education and entertainment only - the code included on the threads have the sole purpose of demonstrating thoughts and ideas of how you can use Python and Machine Learning in your work. How I personally use such ideas may be different. The full disclaimer can be found below!
My intention for this repo is to have an easy place for people to get the code I post.
Since I have a lot on my plate (9-5, trading, gym, posting, developing new ideas/strategies...), and given this is all demo code, I doubt I will a lot of time/energy to maintain this code properly.
Remember, copy-paste is everyone's best friend, until it's their worst enemy, so don't take everything here as gold standard 🙂
How I Will Update this Repo
This repository will be a work-in-progress sort of deal whilst I figure out the kinks over time. I may change the file structure around a little, if I feel something is more suitable. Therefore, I'd suggest bookmarking the repository, rather than a particular link to a notebook/script
If I post any new code on X, then I will update this repo accordingly with the new file.
Contact
You can get in contact with me on X - I'm typically quite reponsive over DMs. If I miss one, I'll try and get to it eventually but don't be scared to give me a nudge. Shorter questions will likely yield a quicker reply!
Disclaimer
Please note that the author of the repository is not a professional investor or trader, all content produced by the author is based solely on the authors’ own opinions and experiences.
None of the content produced by the author is intended to be financial advice. Any content made and/or published by the author is purely intended for information and/or education purposes only. You should not base any of your investment/trading/financial decisions on the information or content provided the author. The author cannot confirm the accuracy of any of the information or content produced.
The content written by the author are based on their own opinions, formed through their own personal research and testing – therefore, any information, code or otherwise, should be used at the discretion and risk of the content consumer.
Accordingly, the author makes no representation or warranty, either express or implied, in relation to the accuracy or reliability or completeness of the information or content or code published by the author. The author shall not have any liability whatsoever in respect of any direct, indirect or consequential loss or damage arising from your use of the content.
All content produced by author is intended as generic information about the financial markets and no content should be construed as an endorsement or recommendation about a particular investment.