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If you trade financial markets and are not using AI regularly, you're doing yourself a massive disservice.
I don't say this lightly. I've been investing for 8 years, and AI is the single biggest edge shift I've had in my entire investing career.
Most traders are still doing research the way people did it 10 years ago.
Manually scanning news, manually pulling financial statements, manually backtesting strategies, and so on.
Meanwhile, the people actually using AI properly are backtesting strategies in minutes, getting instant earnings breakdowns filtered through their own thesis, and running re
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AI tip to cut your token costs by literally 80%:
(works in Claude, Codex - literally any harness/model)
Barbell strategy + subagents.
Here's the idea:
Most people run every part of a task through the same model.
Let's say they use Fable 5 for planning, execution, and review. This is probably the most wasteful way to use these frontier models right now.
I've been using a barbell approach that splits the work by intelligence needs.
Heavy on both ends, light in the middle
→ Planning (10%): use your smartest, most expensive model to architect the task, define the spec, and set the success criteria
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Every ten years or so, there's a massive wealth transfer event.
In 1995, it was the internet. A wave of nobodies got in early on companies most people thought were a fad, and became the first generation of internet millionaires.
In 2008, it was real estate and distressed assets. The people who understood what was happening in the crash got generational entries.
In 2013-2022, it was crypto. $BTC , NFTs, and even memes in 2024.
The next generational opportunity is AI.
The window to become "the AI guy" and print cash is unreal...
Consulting, AI info, agency - I could name dozens of models.
If you'
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$BTC total tweet volume just dropped to its lowest since 2020.
This is exactly the kind of silence that precedes generational trades.
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RockyDewan:
2026 GOGOGO 👊
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I recently came up with a 6-step framework for designing perfect loops in Claude Code.
If you want to use /loop as efficiently as possible, I highly recommend you follow this loop structure.
This is how you automate anything with loop engineering in Claude:
1. The Trigger
This is what starts the loop without you clicking anything.
This could be a timer ("every morning at 8 am"), or it just fires immediately when you type the command.
2. The Doer
This is Claude actually doing the work.
Reading, writing, researching, coding, whatever the task is.
3. The Checker
Decides whether the work is actual
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GateUser-e3bdec1e:
What is it used for, bro? Sorry, I’m a beginner.
Working on weekends is like a free hit.
Everyone else is fucking around and getting drunk.
It's your chance to get ahead.
AI summer.
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Making money with AI starts by solving a real problem for one specific type of customer.
At the end of the day, nobody cares if you use AI.
Businesses only care if their problem is solved or they're measurably saving time/money.
Learn a foundational skill → Solve real problems with that skill → Add an AI layer on top for efficiency (once you're already good).
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Highly recommend you watch the full episode:
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Outside of our little 𝕏 bubble, the average person has no clue what's happening with AI.
People still think "AI" means ChatGPT.
If you've used an agent, connected an MCP, or better yet, run loops, you're literally in the top 0.1% of AI users.
Unlimited opportunity.
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Most people don't know this, but Anthropic regularly contributes to a GitHub repo of cybersecurity agentic skills.
700+ skills, 25+ security domains, 5+ framework mappings.
I went through the whole thing and built a prompt that secures your codebases.
It gives any AI agent the security skills of a senior analyst:
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Ok, so just to get this straight.
Sam Altman: "We are in the singularity - AI is close to creating a genie that can grant any wish."
Dario: "This is the single most serious security threat we've EVER faced."
Either this is the greatest time in human history, or things are about to go horribly wrong...
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This is the most personal video I've ever put out.
What most people don't tell you about getting rich young..
This is the dark side most influencers will never discuss.
Watch now👇
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I've tested, built, and automated dozens of trading strategies with AI.
Sounds complicated, but it's way easier than you'd imagine.
Building used to require technical expertise. Now it just requires Claude.
If you want to build your first AI trading bot, follow these steps 9 steps:
1. Pick one strategy (RSI, EMA cross, mean reversion) - could even be your own strategy
2. Prompt Claude to turn it into a fully objective rule set. No discretion; every rule needs to be computable.
Entry/exit rules, position sizing, etc.
Turn everything into .md files.
3. Prompt Claude to convert those rules into T
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I tested 432 AI trading bots, and this one won.
In this video, I break down the BEST AI trading strategy (based on real data).
I also open-sourced the entire GitHub repo!
Watch now 👉
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A 6-step prompting framework that connects TradingView MCP + Claude.
Inject this straight into Claude Code, and it will instantly install the TradingView MCP.
Use this to backtest trading strategies, automate financial research & more.
Full prompting framework:
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Anyone can make money with AI.
The most realistic path: solve REAL pain points in your own life and then offer the solution to others who are a few steps behind.
The process looks like this:
1. Find something in your own life/work/business that's annoying, slow, or manual (ideally something you do daily)
2. Use AI to build an automation that buys back time (AI can help you do this)
3. Package what you built into a compelling offer (something you would actually buy yourself)
4. Pitch your offer (in-person local businesses have zero competition right now)
I don't see any reason why the average p
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The GARCH model is one of the most powerful trading frameworks used daily by real quant analysts.
My recent article explains exactly how I used Claude Code to automate this GARCH quant trading strategy.
Here's the full architecture behind it, with real numbers, and how I got Claude to build it for me:
What GARCH actually measures
It's a Nobel Prize-winning calculation, originally developed as "ARCH" by Robert F. Engle in 2003, then extended by his student Tim Bollerslev into the GARCH model quant desks still run today.
The whole point: market volatility isn't random. It's predictable. GARCH is
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wtf is a graph?
Loop engineering is already "dead," and we're entering the era of graph engineering.
I built a prompting framework that, if you send to Claude Code, teaches you the fundamentals of graph engineering.
Based on @IntuitMachine's amazing deep dive article.
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The EASIEST way to make money with AI in 2026:
1. Audit every task you do daily
2. Identify your top 1-2 pain points
3. Build AI automations around them
4. Create organic content documenting the process
5. Build an offer around proven demand
Don't overcomplicate it.
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This one Hermes workflow has been a complete game-changer.
Literally everyone should set this up:
Connecting Granola to Hermes Agent.
It turns Hermes agent into your personal knowledge base - trained on all your meetings, notes, and even random brain dumps.
If you're unfamiliar, Granola is an AI tool that sits in the background of every call and automatically transcribes and summarises it.
By connecting it to Hermes, that data flows straight into your agent's memory with no manual filing required.
You don't even need to be in a team meeting to use it.
I'll literally start a solo Google Meet wi
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