In one sentence showing RS means outperforming other stocks both during market uptrends and downtrends.
What is Relative Strength (RS) and how to identify it (Thread)
In one sentence showing RS means outperforming other stocks both during market uptrends and downtrends.
If you want to outperform the indexes, logic says you have to be invested in stocks doing the same.
RS Rating: @IBDinvestors Proprietary measure of RS scored 1-99. Stocks with an RS rating of 80 have outperformed 80% of stocks over the past year.
RS Line: The Line plotted by dividing each day’s stock price/ price of the SPX.
-Note RSI (Relative strength index) is something completely unrelated to the concept of this thread.
RS rating: 7, decreasing RS line
NET is an example
RS rating of 98, ⬆️ RS line and # of funds.
There are many different ways summarized extremely well by @duckman1717 in the document below and I will expand on a couple of these concepts.
Makes a higher Low when the SPX makes a lower one
Stays above 200day SMA while SPX undercuts by 28%
The Leaders often bottom before the indexes
$TSLA increased 800% from this point in 9 months
Higher Low again
RS Line hitting new all time highs during correction
Strong bounce once market pressure lifts
Broke out to new all time highs shortly after correction
$DOCU increased 120% in 3 months
Trends above all Key Moving Averages
RS Line in Uptrend
Forms Tight Price areas then breaks out.
Pullbacks are on lower volume than advances
Increased 1000% in 6 months while trending with the 21ema
Breakout on large volume to all time highs
Many up days in a row
Upside reversals near the bottom of price consolidations
Tight price action during correction and right before BO
Increased 100% in 1.5 months from the breakout
Red to green move on a gap down day
Upside reversal
Prior Uptrend and Volume Contraction within base
5 minute chart with SPX comparison
For instance:
- Earnings gap ups from Bases on large volume
- Newfound respect for a key moving average
Avoid
- Gap downs on large volume
- Breaking previously respected KMAs
- Red to green moves
- Green on Red days
- High DCR +WCR compared to $SPX
- Closing well off lows
- Tight price action compared to $SPX
- RS line ⬆️
- Pullbacks are on low vol
- Pick stocks with increasing RS Lines + other Signs of RS
- On red days track what is showing RS
- During corrections cut weak stocks first
- During Bear Markets track RS signs- Future Leaders
https://t.co/gCwio1qYWX
What is Relative Strength (RS) and how to identify it (Thread)
— Richard Moglen \U0001f4fd\ufe0f\U0001f981\U0001f6a2 (@RichardMoglen) January 25, 2021
What is an Optimal Buy Point? (thread)
— Richard Moglen \U0001f4fd\ufe0f\U0001f981\U0001f6a2 (@RichardMoglen) August 29, 2020
What is a True Market Leader / TML (Thread)
— Richard Moglen \U0001f4fd\ufe0f\U0001f981\U0001f6a2 (@RichardMoglen) November 6, 2020
(And how to find them)
An Introduction to Price and Volume Action (thread)
— Richard Moglen \U0001f4fd\ufe0f\U0001f981\U0001f6a2 (@RichardMoglen) December 4, 2020
More from Richard Moglen 📽️🦁🚢
(And how to find them)
In one sentence a TML is an institutional quality stock in a leading industry group with superior fundamentals and technicals
These are monster stocks which over the course of weeks and months increase +100% to +5,000%
TMLs are popular with traders/investors whose methodology is based on the CANSLIM system developed by William O'Neil.
He called them Model Book Stocks. Huge winners worth studying to identify common characteristics that they all share
O'Neil studied over 1000 model book stocks going back to the 1880s.
Many are shown and discussed in these must read books
How To Make Money in Stocks, O"Neil
https://t.co/S2sShZedUm
Monster Stocks, John Boik @monsterstocks1
A Few Examples courtesy of @SystematiCK_
Pic N Save
#Study & #learn from past super #stocks
— SystematiCK Trader (@SystematiCK_) September 26, 2020
Example 22: Pic N Save - 1979
Sharpen your eyes & internalize
- which fundamental and technical setup fuelled the big gain
- how trade management was done
- the importance of acc./distr. volume
Credit to the great W. O\u2019Neil! pic.twitter.com/m888ZaGyMV
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As a dean of a major academic institution, I could not have said this. But I will now. Requiring such statements in applications for appointments and promotions is an affront to academic freedom, and diminishes the true value of diversity, equity of inclusion by trivializing it. https://t.co/NfcI5VLODi
— Jeffrey Flier (@jflier) November 10, 2018
We know that elite institutions like the one Flier was in (partial) charge of rely on irrelevant status markers like private school education, whiteness, legacy, and ability to charm an old white guy at an interview.
Harvard's discriminatory policies are becoming increasingly well known, across the political spectrum (see, e.g., the recent lawsuit on discrimination against East Asian applications.)
It's refreshing to hear a senior administrator admits to personally opposing policies that attempt to remedy these basic flaws. These are flaws that harm his institution's ability to do cutting-edge research and to serve the public.
Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.