Grok Bot is the best AI agent right now
It gives you an army of agents that can do work for you 24/7
If you set it up correctly, you gain super powers
In this article, I cover how to build a one-person AI hedge fund on Grok Bot https://t.co/rTVYSPNui4
Some New tools you shd try if you are into trading
a) https://t.co/4EndGFd0mf - good for pattern finding
b) https://t.co/k7uyQkOf9x For Journaling
c) https://t.co/11GXoeGwmK Amazing charting tool to save tons of time ( old one)
d) https://t.co/da0u3PTRTg - Scanner , reports etc.
I GAVE CLAUDE EVERY RULE FROM MARK MINERVINI'S CHAMPIONSHIP METHOD AND ASKED FOR ONE THING: BUILD ME A SYSTEM SIMPLE ENOUGH TO ACTUALLY FOLLOW.
Minervini won the US Investing Championship with a 334% year.
This is what it handed back, on a single page 👇
Airtel has become one of the worst service providers, a internet issue after some area outage. 6 technicians reassigned in 3 days without a single person attending the issue citing not within his service area. Not sure what field service airtel has but this pathetic @airtelindia
Jim Simons made 66% a year for thirty years.
Nobody has come close.
Not Buffett. Not Soros. Not Druckenmiller.
Every quant fund since has tried to reverse-engineer
what Renaissance actually does.
They keep landing on the same wrong answer:
"More data. More compute. More simulations."
Last November, a mathematician from Stanford
gave a lecture that explains why they'll never catch up.
His name is Persi Diaconis.
He's the world's authority on when a simulation is telling you the truth
and when it's telling you a story.
His conclusion after forty years of research:
most of the simulations Wall Street runs today
are giving persistently wrong results,
and no amount of GPU will fix it.
The answer isn't more compute.
The answer is proof.
Simons required a proof before deploying a strategy.
That's the part nobody copied.
That's the part they can't.
Lecture below. Under an hour.
The most important hour you'll spend on markets this year.
A Nobel Prize-winning volatility model was turned into a trading filter with a reported 72% hit rate.
The original framework came from economist Robert Engle.
The new version answers one question before a trader risks any money:
“Will tomorrow have enough price movement to trade?”
On the example shown, GARCH predicted a true range near $306.
The market realized roughly $311.
The model takes true range, adjusts for its skew, removes the trailing average, and forecasts the remaining volatility.
Then it compresses everything into a binary state:
green chart = conditions are active
normal chart = stay out
That is closer to how professional risk systems think.
They do not begin by searching for an entry.
They first ask whether the current market regime is compatible with the strategy.
A breakout strategy needs expansion.
Without it, the setup can look perfect and still go nowhere.
Most indicators tell you when to trade.
This one may be more valuable because it tells you when the opportunity is not there.
a portfolio manager running $8.4 billion once paid a quant researcher $410,000 a year to answer one question:
“can you tell me which breakouts are real before we risk the money?”
the researcher started with an idea traders had repeated for decades
a breakout is stronger when the tape becomes “twitchy”
everyone understood what that looked like
nobody could define it precisely enough to code
so he measured the speed at which trades forced price to update
not raw volume
because one million orders hitting the same price can create activity without moving the market
the difference was enormous
during lunch, price changed around 4 times per second
near the closing bell, it jumped to almost 70
a 17.5x increase in the speed of price discovery
then he built the test:
breakout = 5-minute close beyond the previous 30-minute high or low
signal = normalized price-update speed
success = profit barrier reached before the equal-distance loss barrier
now imagine the fund puts $25 million behind each breakout basket
filtering out one false 0.8% move protects roughly $200,000
that is why the manager did not care whether the chart looked convincing
he cared whether “twitchy” could be turned into a number
most traders protect their intuition from being tested
quants turn it into code and make it fight for capital
and this is exactly the skill firms pay six figures for:
taking a vague market idea, defining it mathematically, then testing whether it deserves real money
I broke down how to build that skill from zero in 16 weeks
bookmark this lesson then read the full quant roadmap below ↓
How to build a fully functional AI trading bot from scratch.
In this guide, I cover everything: set up, engineering a profitable strategy, building a self-improving memory system & more.
By the end, you'll have a working bot executing real trades for you:
ESTE TIPO USÓ CLAUDE PARA CONSTRUIR UN BOT DE TRADING
El tutorial dura 17 minutos y enseña a:
→ construir, refinar, backtestear y ejecutar un bot de trading desde cero.
🔖 Guardalo antes de que sea tarde
🚨 BREAKING: Claude can now create a retirement plan that rivals the advice many consultants charge thousands of dollars for.
These 6 powerful prompts will help you understand exactly when you can retire and the steps needed to get there.
📌 Save this post now—you’ll want to come back to it later.
You don't need a gym.
You need Dumbbells and a system.
I'm a professional athlete. I've built and maintained elite strength with nothing but dumbbells more times than I can count.
Here's 48 exercises, every muscle group covered:
Diversification started in option selling. Need to see how the market reacts further. It's not at all abt today's PNL.
Doing positional + intraday.
Trump risk is still in place, so doing it with caution.
#VerifiedbySensibull#nifty
I Built A Trading Bot With Claude That Made +$168,236.
This video will teach you exactly how to build your own:
0:00 Intro
1:17 Creating "rules" (Strategy #1)
2:23 Pine Script & TradingView
4:59 Coding a strategy
7:25 Refining the strategy
9:45 Strategy #2
13:11 How to be profitable
14:42 Testing on NASDAQ
16:18 Live execution
Omg.. this can't be true...
I kept building AI agents on my eventually list because everything I read made it sound like a six month project requiring a technical background I did not have.
One Reddit thread changed that by saying the one thing nobody had said clearly: pick the smallest possible problem and finish it completely before you try to build anything impressive.
MY ARTICLE IS THE CLAUDE CODE VERSION OF THAT LESSON.
Working agent - Under one hour - Zero coding.
Full guide below.
***🧵Long-Term NIFTY Options Strategy***
As I promised, here's Long-Term NIFTY Options Strategy.📈
Suitable if your market view is:
✅Sideways
✅Bullish
✅Bearish
💰Capital Required: Around ₹3–4 Lakhs.
This isn't a set-and-forget strategy—it's all about smart adjustments.
My friend makes $1.4 million/year as a Jane Street quant.
No MIT. No Stanford. No Ivy League PhD.
I asked him how he broke into quant from scratch.
He sent me a video that was never supposed to get out. Hedge fund insiders laying out the full quant career playbook.
You won't find anything better about becoming a quant than this video.
I watched it last night.
Halfway through, I realized I could break into a top quant firm in months, not years.
Bookmark this and read the article below.
FOUR SIMPLE WAYS TO FIND STOCKS:
1) Stocks with momentum🚆
2) Stocks with golden/death crosses💀
3) Stocks with high volume📶
4) Stocks at all time high/low📈