The biggest change in my trading wasn't finding a better setup.
It was becoming relentlessly consistent.
Not consistent in making money. Consistent in following my process.
- Every day I review hundreds of charts.
- Every day I build my watchlist.
- Every day I ask the same questions.
- Is this stock truly exceptional?
- Does it deserve my capital?
- Does it fit my rules?
Some days the answer is yes.
Many days it isn't.
And that's perfectly fine.
One mistake I made early in my career was believing I had to trade every day.
Now I see cash as my default position.
A stock has to earn its place in my portfolio.
That single mindset shift improved my trading more than any indicator, strategy or chart pattern ever did.
After more than 20 years in the market, I've learned this: The best traders aren't the ones who occasionally make brilliant decisions.
They're the ones who make good decisions over and over again.
Trade your plan. Then have the patience to let consistency do the heavy lifting.
The fat you can't pinch is the fat that's killing you.
Visceral fat sits deep around your organs and floods your body with inflammation.
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Learn to regulate your nervous system.
Don’t panic over small things.
Learn to meditate.
Do breathwork.
Read daily.
Journal.
It will eventually help your trading a lot.
AI is reshaping how institutional investors work:
~52% of institutional investors now primarily use AI for research, according to a Barclays survey of 410 fixed-income investors.
This is followed by hedge funds, at ~44%, which primarily use AI to process and analyze large volumes of market data.
By comparison, ~27% of hedge funds use AI for modelling and risk analysis, versus ~22% of long-only managers and ~17% of asset owners.
Operations, compliance and reporting, and investment decisions each account for just 10% to 15% across these groups.
AI is changing how investment decisions are made.
Japan has 4X lower rates of heart disease than America.
Their secret?
A natural enzyme in their diet that dissolves clots, lowers blood pressure, and shrinks arterial plaque.
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🔍 Anatomy Of A Winner: $CRWV
I bought $CRWV on May 1st, 2025.
Not because I knew it would become one of the biggest winners of the year. I bought it because it showed several characteristics I've seen repeatedly in past market leaders. The goal isn't to predict the future—it's to recognize the clues before everyone else.
The first thing I checked wasn't the stock. It was the market. My Market Trend Model was green, giving me permission to look for new long positions. Once that box was checked, $CRWV immediately stood out.
Here's what caught my attention:
• Young IPO building a tight IPO base
• 420% year-over-year sales growth
• AI data centers were one of the strongest themes in the market
• Around $200-300 million traded every day, showing strong institutional participation
None of these characteristics alone would have convinced me. Together, they created a high-quality setup with a defined edge.
The chart wasn't perfect, though. The breakout day gapped higher and closed near the lows of the session. Normally, that's something I don't like to see. But trading isn't about waiting for perfect charts. It's about weighing all the evidence and asking whether the positives clearly outweigh the negatives.
I entered with roughly a 10% position and defined my risk with a 5% stop. That's something many traders underestimate. The small initial risk wasn't there to protect this trade—it was there to give the stock enough room to become a very large winner.
The position eventually produced a 23R gain. I took partial profits into strength and closed the trade for roughly 140%. Looking back, $CRWV continued almost 300% from my original entry.
My biggest mistake wasn't buying too early.
It was selling too early.
Today I'd simply trust my EMA 8 rule longer and give a true market leader more room to work.
The lesson isn't to memorize $CRWV.
Study enough past winners and you'll notice that these characteristics repeat. The next great stock will have a different ticker, but it may leave the same footprints.
And when you finally find an exceptional stock, don't make the mistake I made—don't sell it too early.
I don't buy penny stocks.
I buy penny stocks that suddenly attract serious volume.
That's a huge difference.
This scanner filters for:
��� 15 - 100 stocks
✓ 3× average volume
✓ Fresh breakout
✓ Strong bullish candle
The main logic is in the image below.
Now the question is ...........
Would you build this scanner yourself using the logic
OR
I share the scanner link?
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One of the biggest reasons my trading improved wasn't finding better setups.
It was learning when NOT to trade.
Right now, $GH is broke out from a very nice base. It has many characteristics I like, and maybe it will continue much higher from here.
But I've learned not to judge a stock in isolation. The market environment matters just as much.
Look at $ICHR, $AEVA and $BBAI in the screenshots.
All three looked promising during a red Market Trend Model. They broke out, worked for a short time, and then failed.
$ICHR held up for three days.
$AEVA lasted only one.
$BBAI failed almost immediately.
Could $GH be different? Of course.
But that's not the question I'm trying to answer.
The real question is: What happens if I keep buying these setups over the next 200 or 300 trades?
That's exactly what I tested.
My Market Trend Model isn't based on opinions or predictions. Bryan Martz developed and backtested it. I combine that with years of reviewing my own trades and measuring what actually works.
The conclusion was simple: When my Market Trend Model is red, my hit rate drops dramatically.
Yes, there will always be a few winners. Sometimes one stock will make an incredible move.
But there are simply too many breakouts that fail after one, two or three days. Over hundreds of trades, those losses outweigh the winners.
Ten years ago I probably would have bought every one of these setups because they looked good.
Today I don't trade exceptions. I trade probabilities.
I'm perfectly happy to miss a winning trade if it helps me avoid dozens of losing ones.
That's one of the biggest mindset shifts I've made as a trader.
The best traders aren't the ones who find the most setups. They're the ones who know when to leave a good one alone.
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___
PS: I'm Ruben Hassid, and I want us to master AI before it masters us, with simple instructions.
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