How to Use the Relative Strength Index (RSI)
The Relative Strength Index, or RSI, helps some investors determine whether stocks might be overbought or oversold. Watch to learn how it works, and how it can help investors analyze trends and identify potential opportunities when they decide to buy or sell stocks.
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(1022-1S3J)
Пікірлер: 14
really good tutorial
Fantastic, thank you very much Sir for this enlightenment
very good keep it up.
Thank you. Pls let me know if you have a course/series on technical analysis. I would love to enrol in it. Or, pls sugget me the best place to learn it online. I would like it to be exactly like this video with crystal clear explanations.
@CharlesSchwab
26 күн бұрын
Yes, we do have a number of courses, which you can find by going to Schwab.com, then point to the 'Learn' tab, then select a course under the 'Insights & Education' column header. ^MF
didn't the other video get taken down??
@zayedalteneiji6875
6 ай бұрын
why did it get taken down??
@CharlesSchwab
6 ай бұрын
We needed to rebrand our videos as Charles Schwab which is why we had to remove other videos. ^BC
Do you have a product or service, where an individual can put stocks into a basket and create a personal ETF?
@CharlesSchwab
2 күн бұрын
Hello and thank you for reaching out. While we can only offer limited support through social media, our specialists are happy to assist. To discuss your concern with a broker, please call 800-435-4000 or initiate a secure chat session on Schwab.com, available 24/7 ^CH
Cool but how do you know when a stock is overbought/oversold if the RSI value is something like 0.00089?? How do you know where the 30 and 70 is?
@CharlesSchwab
2 ай бұрын
When you add RSI to your chart it will put it in there for you as a default. Each day will show the value if you mouse on it. If a value is below 1, it's very low in the oversold area.
@CharlesSchwab
2 ай бұрын
The RSI is a rangebound indicator, bound between 0 and 100, so the 30 & 70 range lines will always be in the same place. The values can be changed by editing the study in the thinkorswim desktop platform. A value of 0.00089 would be oversold. ^BW