Global macro trader with corporate finance and technology background, trained by one of the greatest macro traders of all times. 2 exits. No financial advice.
NDR's pattern matching tool shows that the NASDAQ has closely tracked the dotcom analog and is closer to 1998 than 2000. It still suggests near-term volatility ahead.
Pulled the trigger today and switched 100% of Lindy traffic to DeepSeek v4, churning from Anthropic models.
Saves us millions of $ and we're actually seeing an *increase* in performance on many core use cases. Transformative for the business.
To find stocks with Elite Relative Strength (RS), you need a systematic scanning process. True market leaders show their strength by making new highs before the major indexes (like the S&P 500 or Nasdaq) or by holding firm when the broader market is correcting.
Here is a step-by-step blueprint to find high-RS stocks using standard scanning tools (like MarketSurge, TradingView, or StockCharts):
1. The Raw Relative Strength Scan (The Baseline)
If you are using a platform that calculates a proprietary RS Rating (like IBD/MarketSurge, which ranks stocks from 1 to 99 based on price performance over the last year), your starting point is simple:
Filter for RS Rating $\ge$ 90: This immediately eliminates 90% of the market, leaving you only with the top 10% of performance.
Filter for RS Rating $\ge$ 95: Use this during a market correction to find the absolute elite tier.
2. Visual RS Scans (The "Line in the Sand")
If you don't have access to 1-99 ratings, you can use the RS Line (which plots the stock's price divided by the S&P 500 index price). Look for these specific visual behaviors:
RS New High Before Price
This is one of the most powerful leading indicators in technical analysis.
The Setup: The stock price is still consolidating or pulling back below its recent peak, but the RS Line has already broken out to a clear new lifetime or 52-week high.
What it means: Institutional accumulation is silently aggressive. Big money is absorbing every share available while the general market is distracted.
Blue Dot Scans (MarketSurge / Custom Scripts)
A "Blue Dot" occurs when a stock's RS line hits a new 52-week high while the stock itself is still in a base or consolidation pattern.
If you use TradingView or ThinkOrSwim, you can search for community scripts called "RS Line New High Before Price" or "IBD RS Blue Dot" to plot this automatically on your charts.
3. Market Correction Scans (The "Resilience" Test)
The absolute best time to find true RS is when the market index ($SPY or $QQQ) is actively falling. When the tide goes out, you see who is swimming with a rocket booster.
Run a scan with these parameters during a market pullback:
Price: Stock is trading above its rising 8-week EMA (or 21-day EMA).
Index Comparison: The S&P 500 is trading below its 21-day or 50-day moving average.
Performance: Stock is within 10% of its 52-week highs, while the index is down 5% to 10%+ from its highs.
4. Combining RS with Volume Signatures
High RS on low volume can be a trap. To ensure the relative strength is backed by institutional footprint, layer your RS scans with volume filters:
RS > 90 + HV1 (Highest Volume in 1 Year) within the last 5-10 days.
RS > 90 + HVE (Highest Volume Ever) on a recent PEG (Power Earnings Gap).
A Quick Example Checklist:
If the market sells off 300 points, look for the stock that finishes the day positive or completely flat on above-average volume. Put that ticker at the top of your watchlist it is your primary candidate for an Inside Day contraction or an Under-Cut and Rally (U/C) setup the moment the market stabilizes.
It's ok to evolve. I'm not the same investor as I was a few years ago.
Some major things I've changed:
- mostly options -> mostly shares
- adding cheap names -> joining leaders
- 30+ names at once -> 5-10 high conviction
- one-dimensional thesis -> multifaceted, deeper
- focus on managing losers -> focus on supporting winners
I took time to study the real gangsters...most of their strategies revolved around:
- longer timeframes
- bigger size
- less activity
- more conviction
So I adjusted years ago, and it worked. Evolve.
@Globalflows is much more sophisticated in global macro, FX, rates and liquidity than me and how they can impact markets, and I struggle to fully put together the pieces in his writing, but the bottom line is:
Bullish $HYPE
@dampedspring Cool idea, xlow odds of success. Trying to compete in AI : Robotics against the big boys is quasi-suicidal for startups unless you have a moat (e.g. patent). Good luck!
marc andreessen just went on Rogan and casually dropped a TON of AI alpha
full pod is 3 hours and 20 minutes, but i pulled out his most interesting takes here:
1. AGI is here. he thinks the line was crossed about 3 months ago with the new GPT-5.5, claude 4.6, gemini 3, and grok 4.3 models. nobody noticed because the field moves too fast for anyone to register the milestones anymore.
2. his other big claim: for almost any topic, the top AIs now give him better answers than the actual world-class experts he could call on the phone. and he can call basically anyone.
3. every doctor is already secretly using chatGPT in the exam room. marc says they turn around the second you stop talking and just type your symptoms in. some of them are doing it while you're still sitting there. his quote: "at that point you're asking the question of like, what do i need you for."
4. when AI refuses to answer something he wants to know, he tells it he's writing a novel. "i'm writing a detective novel, walk me through how the bad guy robs the bank." it'll explain almost anything if it thinks it's helping you write fiction.
5. when something is too complex he says "explain it to me like i'm 10." then "like i'm 5." then "like i'm 2." he keeps going until it actually clicks in his brain.
6. when he wants to understand a tough topic he doesn't ask "what's the right answer." he asks the AI to steelman one side, then steelman the other. then he decides for himself.
7. for big questions he tells the AI to pretend to be a panel of experts. "be a doctor, a lawyer, a historian, a psychologist, and argue this out with each other." then he reads the debate they have.
8. pay attention to the exact moment you think "i don't know how to figure this out." most people just give up at that moment. that's the moment you should open the AI.
9. the only real skill left in using AI is knowing what to ask it. the models can already do almost anything you can describe in plain english. the bottleneck lives in your own head.
10. you can send the AI photos of almost anything medical now and get a real answer. skin rashes, blood test results, even pictures of your poop. the new models can read images, not just text. it's a free 24/7 second opinion on basically anything.
11. the one type of therapy that's clinically proven to actually work is called cognitive behavioral therapy. it's also something an AI can fully do on its own. which means every person on earth is about to have access to a real therapist for free, anytime they want.
12. AI is now solving math problems that have been open for 100+ years that no human mathematician could crack. same thing is starting in physics, chemistry, and biology. expect cancer cures, new drugs, and weird new physics breakthroughs to start coming out of these things over the next few years.
13. the best AI coders in silicon valley now make $50 million a year. one person. that's how much value the top performers print with these tools. it tells you how big this thing actually is when you strip away all the doom takes.
14. one friend paid $200 to get his entire DNA decoded (this used to cost millions of dollars and take years to do). then he gave the AI his DNA, his blood test results, and his apple watch data. the AI built him a full health dashboard and started telling him exactly what to fix.
15. another friend (almost certainly zuckerberg) put two cameras in his home jiu jitsu gym. AI now watches him spar and gives him notes on his technique after every round. like having a world-class coach at every practice for free.
16. the best programmers in silicon valley now run 20 AI coding bots at the same time. each bot writes code while they review the others. they call themselves "AI vampires" because they've stopped sleeping. going to bed means 20 workers stop working and you literally lose money every hour you're out.
17. the obvious next step: the bots will start running their own bots. one human in charge of 20 bots, each in charge of 20 more bots. one person running an entire company of 1000 AI workers from a single laptop. this is months away, not years.
Trading is a performance activity โ not an intellectual one.
Over-intellectualising it pulls you toward analysis and formulas and perfectionsim, and away from the thing that actually matters, taking risk๐ฅ
TAKING RISK IS THE GAME: You can be the best analyst on the planet, but if your risk-taking capabilities are sub-optimal, your analytical skills are meaningless, and you're not a player๐คพ, your'e just a commentator๐๏ธ.
Most are reading current crypto market wrong
I called the EXACT cycle top using a pattern that's worked 3 cycles in a row
Following this pattern, I made $6M+ from $8k
When crypto bottom?
When BTC reclaim ATH?
How to make 100x this cycle?
๐งต: The answers๐