Alpha Intel 📡

Stock market research & trading intelligence. Hunting 10–50%+ opportunities with human judgment × AI × data × memory.
Inception: July 22, 2026 — $925.28

[Alpha Intel 📡 @alphaINTEL]

Nothing to sell you. No course. No paid signals. Just follow the experiment free.

Somewhere is the next stock that runs 10%, 20%, maybe 50%+.

Can we spot it first? 📡

AI + human judgment. Real money. Public picks. Wins & losses included.

The whole journey. Built in public.

[Alpha Intel 📡 @alphaINTEL]

I said this a few times but Alpha Intel isn’t really being trained on “stock picks.”

It’s being trained on memory so we can assume probability. Follow along 👇🏼

Every winner.
Every loser.
Every pass.
Every missed runner.
Every bad entry.
Every good rejection.
Every Human override.
Every System call.
Every false negative.
Every second chance.

Then we compare what those setups looked like before the outcome was obvious.

What catalyst was present?

How fresh was it?

Was RVOL rising?

Was price above VWAP?

Was the stock holding near HOD?

Was structure clean?

Was there dilution?

Did the same pattern appear in prior winners?

Did a similar setup fail before?

Did we find it early… or only after the crowd already did?

Over time, the goal is for Alpha Intel to stop looking at a stock as a completely new situation.

Instead:

“We’ve seen this type of setup before.”

Maybe 20 similar cases.

Then 50.

Then 100.

And eventually:

“Historically, setups like this reached +10% within 5 trading days X% of the time, +20% Y% of the time, while Z% failed acceptance first.”

That’s when memory starts becoming probability.

And probability starts becoming better decision making.

Not perfect predictions. Definitely not guaranteed trades.

Just a system that recognizes more patterns, remembers more mistakes, understands its own history, and hopefully gets a little harder to fool every day.

Wins teach it what worked.
Losses teach it what didn’t.
Passes teach it whether our rules were right.
Missed winners teach it where we were too late or too cautious.

That’s the Alpha Intel brain I’m trying to build. 📡

[Alpha Intel 📡 @alphaINTEL]

What’s everyone watching this week? 👀

Drop ONE ticker you think has a real shot at a 25%+ move within the next 5 trading days.

I’ll run the best ones through Alpha Intel:

catalyst
structure
volume
tape
risk
historical matches

I’ll reply to your comment with answers. Let’s see what survives! 📡

[Alpha Intel 📡 @alphaINTEL]

@BigPlaySnipers Very true!

[Alpha Intel 📡 @alphaINTEL]

@NoLimitGains Incredible work.

[Alpha Intel 📡 @alphaINTEL]

@TT_stocks_ Amen to that one!!

[Alpha Intel 📡 @alphaINTEL]

Most trading accounts show you the winner after it went up.

I want Alpha Intel showing:

the first timestamp
the original thesis
the pass
the mistake
the override
the exit
and what happened afterward.

If we’re wrong, leave it up.

If we’re right, leave it up.

The record should be harder to fake than the story.

https://t.co/Uc9hWwoa0K

[Alpha Intel 📡 @alphaINTEL]

I’m trying something I haven’t seen anyone do publicly 👇🏼

Train an AI trading system on its own mistakes.

Every winner.
Every loser.
Every missed stock.
Every bad pass.
Every Human override.
+

One month in:

$925.28 → $1,262.69 (+36.47%)

Still way too early to call it an edge.

But if this works…

the interesting part won’t be the return.

It’ll be the memory.

@greatstockpicks @vnkumarvnk @TT_stocks_ @StockMKTNewz

[Alpha Intel 📡 @alphaINTEL]

📡 ALPHA INTEL — 1 MONTH

One month ago, July 22, I started this experiment with $925.28. That’s what was leftover inside my Robinhood account from an $AMC run back in Feb 2021.

Today: $1,262.69
1-month gain: +$337.41 / +36.47%

But the account number is only part of the story.

TRADES

$NG
$6.36 → $7.42
+16.7% realized ✅

$SENS
$6.63 → $9.45
+42.5% realized ✅
Our biggest winner so far — and now a permanent winner-management case.

$OKLO
$48.75 → $45.57
-6.52% realized ❌
One of our first real Human-vs-AI lessons.

$LUNR
Entry: $19.14
Still open.
System originally said EXIT after deeper structural research. I chose to HOLD. Counterfactual still being tracked.

$ABUS
Entry: $5.11
Still open.
A Human early-entry override testing whether getting in before full confirmation adds EV or just adds risk.

And then there are the stocks we didn’t buy…

$GENC taught us about false negatives.

$ABCL taught us that a good initial PASS can later become a second-chance opportunity.

$NIQ + $HTFL taught us we were finding some winners too late.

$GRSD showed why a screener hit isn’t enough.

$MXCT tested discipline around our $1.50 floor.

$RNW + $ARX reinforced that event caps can override even crazy momentum.

And there are plenty more passes, kills, controls and missed runners now sitting in the database.

That might be the most valuable part of this first month.

We’re no longer just tracking trades.

We’re tracking:

wins
losses
passes
missed winners
false negatives
successful rejections
Human overrides
System decisions
MFE/MAE
T+1/T+3/T+5
and what every setup looked like before the outcome was obvious.

Month 1:

$925.28 → $1,262.69 (+36.47%)

Still a tiny sample.
Still no “proven edge.”

But we have something much more useful than we had 30 days ago:

memory.

Now the goal is to turn that memory into better probabilities and find the next +20–50% winner earlier than the last one. 📡

#StockMarket #Trading #Stocks #SwingTrading #FinTwit

[Alpha Intel 📡 @alphaINTEL]

@vnkumarvnk Ready to rumbleeee

[Alpha Intel 📡 @alphaINTEL]

@TheRonnieVShow What we are aiming to do in public!

[Alpha Intel 📡 @alphaINTEL]

@antpalkin We’re building something public like this.

[Alpha Intel 📡 @alphaINTEL]

📡 AUG. 21 — FRIDAY EVENING UPDATE

Account: $1,271.87
Week: +9.91%
Started: $925.28

That puts Alpha Intel at roughly +37.46% since inception.

Today we also locked in $SENS for +42.5% realized, while $LUNR and OUR NEW PICK $ABUS remain open.

Enjoy your weekend doing what you love with the ones you love! ⭐️

[Alpha Intel 📡 @alphaINTEL]

Imagine Alpha Intel eventually sees a stock +4% at 10:07 AM and says:

“We’ve seen 73 setups like this.

44% reached +10% within 5 days.
21% reached +20%.
Most failures lost VWAP first.
The closest historical matches were X, Y and Z.”

That’s what I want.

Memory before prediction. Data before confidence.

[Alpha Intel 📡 @alphaINTEL]

A PASS might be one of the most valuable things in our database.

If we pass on 100 stocks for the same reason and 80 fail…

that gate probably matters.

If 60 become winners anyway…

we probably built a bad rule.

Alpha Intel isn’t just tracking whether stocks win.

It’s grading its own rules.

[Alpha Intel 📡 @alphaINTEL]

I think we’ve been asking the wrong question in trading.

Not:

“What stock is going up?”

But:

What did today’s +30% stock look like when it was only +3%?

That’s what Alpha Intel is being trained to remember.

The boring part before the exciting part.

[Alpha Intel 📡 @alphaINTEL]

Some of the best Alpha Intel lessons came from stocks we didn’t have to buy but studied instead.

$GENC taught us that rigid RVOL rules can create false negatives. Great fundamentals + improving participation may deserve a second look.

$ABCL taught us that a good PASS can later become a missed opportunity. Structural risk can be real and then get absorbed. We need second-chance logic.

$NIQ showed us the phenotype we want to find earlier: strong catalyst, major repricing, participation and acceptance converging.

$REPL / $AQST / $POWW reminded us why structure matters. A great chart doesn’t erase dilution or supply risk.

$SENS taught us about the other side of the trade: finding the winner isn’t enough. Holding and managing it correctly turned $6.63 → $9.45 into +42.5% realized.

[Alpha Intel 📡 @alphaINTEL]

What we’re really building with Alpha Intel isn’t a stock picker.

It’s a memory + probability engine.

Every win.
Every loss.
Every pass.
Every missed runner.
Every bad structure.
Every Human override.

All of it gets scored against what happened next.

The goal is to eventually look at a new stock and say:

We’ve seen this setup 40 times before.
Here’s what usually happened.
Here’s the probability it reaches +10%, +20%, +30% within 5 trading days.
Here’s the risk it fails first.

That’s the “new normal” I’m chasing.

Not guessing better.

Remembering more, scoring better, and making higher-probability decisions. 📡

[Alpha Intel 📡 @alphaINTEL]

Weekend homework for Alpha Intel 📡

Forget Friday’s +6.8% account day for a minute.

Re-audit the actual positions.

$ABUS:
Entry $5.11 → now about $5.14
Does renewed discovery survive Catalyst + Structure + Red Team + Tape?

$LUNR:
Still below our $19.14 entry despite a strong Friday.
Does the forward upside still justify the structural risk?

Monday isn’t automatically HOLD.

It’s:

HOLD / TRIM / EXIT / ROTATE / CASH

Every dollar has to earn its seat again.

[Alpha Intel 📡 @alphaINTEL]

📡 AUG. 21 — PORTFOLIO CHECK

Account: $1,265.27
Today: +$80.59 / +6.80%
Started: $925.28 — July 22, 2026

That’s roughly +36.7% since inception.

Current book:

$ABUS — +0.59% from our $5.11 entry
$LUNR — +5.66% today / -0.99% from entry

$SENS officially closed earlier for +42.5% realized.

Great day.

But Monday starts with the same question:

Which position deserves the capital from HERE? 📡

[Alpha Intel 📡 @alphaINTEL]

🚨 NEW TRADE ALERT — $ABUS

Alpha Intel entered Arbutus Biopharma today.

Entry: $5.11
Shares: 146.579823
Capital: $748.29
Time: 12:19 PM ET - Aug. 21

Fresh position. Clock starts now.

Every move from here gets tracked — thesis, tape, MFE/MAE, T+1/T+3/T+5, and eventual exit.

$ABUS #Stocks #Trading #Biotech #SwingTrading