5 YouTube videos that will make you a better investor:

1/ How to read an income statement

https://t.co/sLLhDkBJuD
2/ How to read a balance sheet

https://t.co/BTWrUomWe8
3/ How to read a cash flow statement

https://t.co/pO8CRmk0Sr
4/ How to judge a management team

https://t.co/AN3WJfQgr5
5/ Operating leverage, economies of scale, & when the P/E ratio is useful

https://t.co/nma9P30XZT
Every Saturday, @Brian_Stoffel_ and I release a new video on an investing lesson that we have learned.

If that interests you, subscribe here:

https://t.co/lWwcb1JdD1

More from Brian Feroldi (🧠,📈)

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Building conviction on existing portfolio stocks is complex topic. I am still learning and have only 2-3 years exp. Lot of learning is inspired from @varinder_bansal as part of omkara family, listening to old colleage @connectgurmeet on news channel and @unseenvalue posts

https://t.co/KQkupOeFzp financial statements and results on quarterly basis to evaluate whether your thesis on company is still intact through growth in revenue, profits and cash. You cannot rely only on whats app forwards or brokerage updates.

2.Quarterly Con-Calls post result covering enviornment of the sector in which company operates, future expansion plans, & companies confidence in responding to fund managers. (For eg, in my evening walks, i listen to con-calls on You tube rather than music to utilize the time.)

3. High conviction is build when you compare py qtr or py year con call scripts and see whether company giving forward statements were met in subsequent quarters or not. For eg company said they will be doing CAPEX for 100 crores in FY 2020 and then we can see current state.

4. Profits not growing qtr or qt or yr on yr is not the sign for low conviction. You need to screen the balance sheet to see if the company has taken huge R&D expenditure which they believe is right for company as they build new products for future years, then that make sense

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The YouTube algorithm that I helped build in 2011 still recommends the flat earth theory by the *hundreds of millions*. This investigation by @RawStory shows some of the real-life consequences of this badly designed AI.


This spring at SxSW, @SusanWojcicki promised "Wikipedia snippets" on debated videos. But they didn't put them on flat earth videos, and instead @YouTube is promoting merchandising such as "NASA lies - Never Trust a Snake". 2/


A few example of flat earth videos that were promoted by YouTube #today:
https://t.co/TumQiX2tlj 3/

https://t.co/uAORIJ5BYX 4/

https://t.co/yOGZ0pLfHG 5/