There’s never been a course, scanner, or tool that made me more profitable than doing my own deep dives.
Not someone else’s scan.
Not alerts.
Not shortcuts.
When I sit down and study:
• What actually moved the stock
• Was there a real catalyst or just noise
• Volume before, during, and after
• How price behaved at the open and into the close
—that’s when it sticks.
I spent years buying scanners and programs thinking this would finally make me a great trader.
It never did.
What changed everything was process:
Playbooks.
Checklists.
Pre-market plans.
Stocks in play.
And doing the work myself.
That’s how you internalize what really moves markets.
That’s real edge.
One idea to make trading systems even more powerful:
Instead of only using static notes, PDFs, or setup sheets, traders can build a RAG (Retrieval-Augmented Generation) + memory system around their own trading data.
Upload:
trades
setups
screenshots
reviews
market conditions
execution notes
Then AI agents can retrieve that information and adapt to the individual trader over time.
Now the system can:
identify your best setups
detect recurring mistakes
compare current market structure to past trades
build personalized playbooks
evolve with your trading style
The real power of AI in trading may not just be analysis — it’s combining:
memory
retrieval
context
and adaptive workflows
into a system that learns from the trader.
AI promises amazing trading opportunity and poses unique threats for trading psychology. The keys to trading success in the coming AI world will be different from those we're familiar with: https://t.co/2H71VergSx
AI can build you a system that can document, analyze, tag, review, and compound your trading data over time. It creates the structure. But the trading knowledge that feeds that structure — the setups, the read of the tape, the understanding of risk, the discipline to execute — that's not something any AI system can give you. That has to be earned.
That's exactly why people like Dr. Brett Steenbarger and the team at SMB Capital are so valuable. They teach you the craft — how to identify a setup, how to read market structure, how to build a psychological edge, how to think about risk. That's the education layer. That's the raw material.
An AI system can connects those dots.
You take what Steenbarger teaches you about trading psychology and you document it in your Rules Codex. You take what SMB teaches you about setups and you build it into your Environment-Trade Matrix. You take every session, every trade, every behavioral flag — and the system captures it, organizes it, and feeds it back to you as intelligence. Over time, Claude doesn't just help you plan — it starts recognizing your patterns, your mistakes, your edges. It becomes a system that knows your trading.
That's what an AI system is built for. Not to replace the education. To make the education compound.
I see a lot of people posting AI generated documents; premarket, reviews, watch lists, etc. I'm happy that people are understanding what AI is capable of doing. That is only a fraction of what it is capable of doing. I built a system that encompasses everything and most importantly, it adapts to you. Your own Trading Coach and Assistant. I started a YouTube channel that will show you how to build your own for free. Please watch, like, subscribe and share.https://t.co/a9RWxbwdL4, https://t.co/dQ02GhMgum, https://t.co/6IbZV5dKUQ
A local trading pal Mike is sharing how he built an incredible AI trading tool: @AITradefactory. 🤖🏭
Poised to be a comprehensive step-by-step trading operating system tutorial built using AI.
For anyone interested in trading + AI. ⤵️
https://t.co/VxoZYOgUDL
Instead of watching Netflix this weekend, watch this 2-hour Stanford lecture.
It shows exactly how Stanford trains engineers to build AI systems, and it is more practical than most Claude tutorials and prompting threads online.
Instead of watching Netflix tonight.
Spend a day mastering Claude here: https://t.co/Vn60ElPZ2i
→ Level 1 - 24 min: The basics.
Claude For Dummies: https://t.co/HNa5MrCLVU
Claude Setup: https://t.co/jw2qdIcjnh
→ Level 2 - 1 hour: Real workflows.
Claude Cowork: https://t.co/uWTpOI3Woc
Claude for teams: https://t.co/qxlcqhf8bM
Claude Design: https://t.co/ZY8Fg5D2ea
Cowork + Projects: https://t.co/Q7AN9CZAbO
Claude for slides: https://t.co/L0bPMgXci6
Claude Skills: https://t.co/6cHYYfjXEA
→ Level 3 - 3.5 hours: The pro moves.
Avoid sycophancy: https://t.co/5i8xSJBGUl
Claude Code: https://t.co/UgE9xBXVbE
Claude 101: https://t.co/OvBmlvnVqL
Stop hitting Claude limits: https://t.co/j5fEzSH5br
Stop Prompting: https://t.co/j1LATSJiat
→ Level 4 - 8 hours: Expert mode.
Claude Computer: https://t.co/TxYuHPjgbV
Build with Claude API: https://t.co/RcCbfNjlzz
Pro tip: Don't binge it. Do one level per sitting.
Actually apply each guide before moving to the next
The person who built Claude Code just showed exactly how to use it.
30 minutes. Free. Straight from Boris Cherny himself.
Most people using Claude daily are missing 40+ features hiding in plain sight.
This single session is worth more than any $500 course.
Bookmark this before you forget. 👇
🚨 Anthropic's own team just showed how to build production AI agents.
30 minutes. free. from the engineers who built it.
watch the workshop. bookmark it.
you spent 6 months managing every workflow yourself.
they just showed how to put all of it on autopilot.
Then read the guide below.
PRIMARY DRIVER: Intel earnings — what actually matters
Forget just “did they beat.” What matters is **WHAT they said about:**
* Data center demand (AI servers)
* PC market recovery
* Foundry business (competing with TSM)
* Margins / guidance
That determines **who else gets pulled into play.**
IF INTEL IS WEAK → HERE’S THE DOMINO EFFECT
1. Semi weakness (sympathy downside)
* AMD → direct competitor (CPUs / data center)
* NVIDIA → AI demand read-through
* Micron Technology → memory demand tied to PCs/servers
* Broadcom → enterprise / infra exposure
* If Intel sells hard premarket → look for **failed pops / VWAP rejects** in these names
* Especially AMD (cleanest sympathy mover historically)
2. Equipment / supply chain weakness
* Applied Materials
* Lam Research
* KLA Corporation
If Intel says **capex slowing / weak demand → these can trend down cleanly**
3. Broader tech pressure (macro read-through)
If Intel signals **weak enterprise demand / slowing IT spend:**
* Microsoft
* Apple
BUT this is **second-order effect**
Microsoft only really gets hit if:
* Cloud demand questioned
* AI spending questioned
Otherwise → it often **shrugs off Intel**
IF INTEL IS STRONG → WHERE THE MONEY FLOWS
1. AI / Data center continuation
* NVIDIA (still king of AI)
* AMD (AI + server share narrative)
**Best trade idea:**
* Opening drive breakout or VWAP reclaim continuation
2. Infrastructure / networking
* Broadcom (VERY important)
This is your **under-the-radar A+ name**
* Moves cleaner than NVDA sometimes
* Less crowded, better options pricing vs NVDA
3. PC recovery theme
If Intel says PCs are recovering:
* HP Inc.
* Dell Technologies
Slower movers—but good for **clean trend days**
ABOUT IMPLIED VOL (your key concern)
* Intel itself = **IV inflated → bad RR unless immediate move**
* NVDA/AMD may also have elevated IV
**Better alternatives when IV is too high:**
* Broadcom → often cleaner pricing
* Micron Technology → reacts well to semi news
* Applied Materials → slower but trendable
WHAT YOU SHOULD ACTUALLY WATCH AT OPEN (A+ FILTER)
Step 1 — Identify leader
* Who has **volume + range expansion premarket?**
* Who is respecting levels (not choppy)?
Step 2 — Confirm participation
Look for:
* Relative strength vs QQQ
* Clean moves through VWAP
* No immediate reversals (your “immediate confirmation principle”)
REAL TRADE FACTORY EDGE (THIS IS THE KEY INSIGHT)
You don’t want “Intel sympathy.”
You want:
**“Intel narrative leader rotation”**
Ask:
* Which stock is traders **CHOOSING** to express the idea?
Example:
* Intel good → traders may NOT trade Intel
* They pile into **NVDA / AMD / AVGO instead**
#QUICK GAMEPLAN (TODAY)
If Intel:
* **Flushes hard** → Short AMD / MU / NVDA on failed bounce
* **Breaks out strong** → Focus on NVDA / AVGO continuation
* **Choppy / no follow-through** → STAND DOWN (no participation = no edge)