JM

[cvxv666 @antpalkin]

https://t.co/2NTVA4C2mx

[cvxv666 @antpalkin]

A 67-year-old grandfather in Vermont built a trading bot during retirement - it earned him $290,000 in a single year without losing a single trade.

168 trades. 100% win rate. Zero drawdown across 365 days.

The strategy is so safe it's basically a bond ladder - but with AI doing the probability math instead of credit ratings.

His wallet: https://t.co/grjaCWmLWW

Here's how it actually works:

He only takes bets the model is >85% sure of. Everything else? Killed.

188 events scanned per day. ~12 pass the filter. ~1 actually deploy.

AI algo waits. Most days he doesn't trade at all.

The probability model is stolen from weather forecasting: 31 models vote on every outcome. 28 out of 31 saying "yes" = 90% conviction. Below 26 = automatic reject.

That's the entire edge.

Polymarket is full of 87-92¢ markets that almost always settle at $1. Most traders ignore them - upside per dollar looks tiny.

The math:
edge = model_p − market_p
kelly = edge / (1 − token_price)
size = bankroll x kelly x 0.15

The stack runs free: Polymarket Gamma API for discovery, ClickHouse + Redpanda for the pipeline, paper mode validation before live capital.

Brier score 0.041 across all 168 predictions. Anything under 0.10 is institutional-grade. He's printing the academic numbers.

Most boring account on Polymarket. Also the most profitable - so save this post.

And if you’ve been looking for the most safest strategy to copy - you’ve definitely found it. Get started: https://t.co/vbDZyVbI3v

[Hedgeye @Hedgeye]

Gold to $10,000? Oil to $150? Two of the sharpest macro minds on the planet explain what's next. Watch the conversation.

[Jami @expertwith_AI]

🚨 BREAKING: Google Gemini can now analyze any stock like a Wall Street analyst (for free).

Here are 10 insane Gemini prompts that replace $4,000/month Bloomberg terminals:

(Save this 🔖 you’ll need it later)

[Austin Hart @Austin_Hart00]

THE FIRST 30 MINUTES AFTER YOU WAKE UP PROGRAM YOUR BRAIN FOR THE WHOLE DAY.

STUDIES SHOW THAT 73% OF PEOPLE SABOTAGE THEIR DAY WITHOUT REALIZING IT.

HERE ARE 7 MORNING ROUTINES APPROVED BY NEUROSCIENCE (Thread🪡):

[LongevityLab @LxngevityLab]

The world's most-watched sex expert just broke down what's actually destroying your sex life, your testosterone & your lifespan.

Here are the 10 wildest things she exposed (THREAD):

(1/10) People who have sex once a week live 49% longer...

[Michael Morelli @morellifit]

This is probably the best piece I've ever written on getting in peak shape in 90 days.

Block out 10 minutes and read it slowly, sit with it, and don't skim the peptide section.

[JM @Jedimind33]

@guilleflorvs McKinsey

[klöss @kloss_xyz]

let me explain what Karpathy just shared

he’s spending way less time using AI to write code and more time using it to build personal knowledge bases

the full breakdown: 

→ he dumps raw sources (articles, papers, repos, datasets, images) into a folder. then has an LLM organize them into a wiki… a collection of markdown files with summaries, links between related ideas, and concept articles that connect everything together

→ he uses Obsidian as his frontend. he views raw data, the organized wiki, and visualizations all in one place. the LLM writes and maintains the entire wiki. he rarely touches it directly

→ once the wiki gets big enough (~100 articles, ~400K words on one recent research topic)… he just asks the LLM questions against it. no RAG (complex retrieval system) needed. the LLM maintains its own index files and reads what it needs

→ outputs aren’t just text. he has the LLM render markdown files, slide decks, charts, and images… then files the outputs back into the wiki so every question he asks makes the knowledge base smarter

→ he runs “health checks” where the LLM finds inconsistent data, fills gaps using web search, and suggests new connections and articles. the wiki cleans and improves itself over time

→ he even vibe coded a search engine over his wiki that he uses directly in a browser or hands off to an LLM as a tool for bigger questions

→ his next step: training a custom model on his own research so it knows the material in its weights… not just in the context window

most people use AI to get answers.

Karpathy is using AI to build his own ‘Jarvis’ via compounding knowledge systems that get smarter the more he uses them

the difference between asking ChatGPT or Claude a question and having a personal research engine that grows with every session is the gap most people haven’t crossed yet

and this is where it gets really powerful

not replacing your thinking but organizing everything you’ve ever learned into something you can query or create with forever

if you’ve been using CLAUDE .md and context files in Claude Code… this is that same idea at a much bigger scale

if you’re doing any kind of AI work or deep learning on a new topic right now…

this workflow is worth studying closely

you’ll want to adopt it yourself

this is one of AI’s brightest minds after all. we’re all better off listening to him.

[JM @Jedimind33]

@marryevan999 Claude

[Marry Evan @marryevan999]

ANOTHER QUIET POLYMARKET ACCOUNT JUST TURNED $50 INTO $625,000.

Claude rebuilt the strategy in 40 minutes, and the edge was simple: hit BTC contract lag before Polymarket catches up.

You only need Claude + laptop + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment the word 'CLAUDE'
2. Like and Retweet this post
3. Follow me @marryevan999 (so i can DM you)

[JM @Jedimind33]

@Manu_Sisti ROI

[Lunar @LunarResearcher]

My girlfriend asked why I was smiling at 4 AM.

Showed her the terminal.

"What are all those green numbers?"

$1,129. Made while she slept.

"Doing what?"

Nothing. Claude scanned 14,000 wallets, found 47 that never lose, built a bot that copies them.

She watched for 10 seconds:

+$3.87 captured
+$6.42 captured
+$12.71 captured

"It just keeps going?"

Every few seconds. New line. New money.

"How much did you start with?"

$300. Now $1,429. Eleven hours. Asleep.

"What does it do?"

Buys at $0.48. Sells at $0.52. Pockets $0.04. Who wins doesn't matter.

"That's legal?"

Citadel does this on NYSE daily. 400 engineers. I have one screen.

Copy my bot here: https://t.co/N2byLbLHH9

She looked at the P&L curve. Never dips. Just climbs.

"Can you make me one?"

Setting hers up now.

She still doesn't get how it works.

The bot doesn't care.

[JM @Jedimind33]

@TradingWarz ME

[Alex Prompter @alex_prompter]

Claude can now prepare your presentations using the exact framework Patrick Winston taught MIT students for 40 years (for free).

Here are 6 insane Claude prompts that apply his framework to your presentations.

(Save before this disappears)

[Carlos-cryptofinanzaslibres @escapasistema]

Un profesor del MIT dio la misma conferencia cada enero durante 40 años, y cada una de las veces no cabía ni un alma en el aula.

La vi a las 2 de la mañana y cambió por completo mi forma de entender la comunicación.

Su nombre era Patrick Winston. La conferencia se titula "Cómo hablar" (How to Speak).

Su frase de apertura te golpea como un camión: "Tu éxito en la vida vendrá determinado en gran medida por tu capacidad para hablar, tu capacidad para escribir y la calidad de tus ideas, en ese orden".

Ni tu nota media, ni tus títulos, ni tu coeficiente intelectual. Cómo hablas es lo que separa a las personas que son escuchadas de las que son ignoradas.

Este es el esquema que inculcó a los estudiantes del MIT durante cuatro décadas:

1) Nunca empieces con un chiste: Empieza diciendo a la gente exactamente qué es lo que va a aprender. "Prepara la bomba antes de verter nada". Él lo llamaba la "promesa de empoderamiento": dales una razón para no levantarse del asiento en los primeros 60 segundos.

2) La regla de las 5S: Para que una idea se quede grabada debe ser: Símbolo, Slogan, Sorpresa, Saliente (relevante) e Historia (Story). Cualquier idea que valga la pena recordar cumple al menos tres de estas.

3) La técnica del "casi acierto" (Near Miss): Esta parte me dejó alucinado. No te limites a mostrar lo que está bien; muestra lo que parece estar bien pero no lo está. Ese contraste es lo que hace que el cerebro registre algo de forma permanente.

4) Su regla final: Termina con una contribución, no con un resumen. No recapitules lo que ya dijiste. Dile a la gente qué les has dado que no tenían antes de entrar por la puerta.

He usado este esquema en ventas, entrevistas y presentaciones desde que lo vi, y los resultados no son sutiles.

Patrick Winston falleció en 2019, pero esta clase sigue siendo gratuita en el OpenCourseWare del MIT. Una hora, vista por millones de personas, y no cuesta absolutamente nada.

Video: "How to Speak", Patrick Winston, MIT OpenCourseWare, RES.TLL-005, January IAP 2018.
Fuente: MIT OpenCourseWare.
Licencia: CC BY-NC-SA.
Términos: ocw. mit. edu/ terms

[JM @Jedimind33]

@codewithimanshu @sakhil_ai Open claw

[Himanshu Kumar @codewithimanshu]

You're Still Manually Trading in 2026. That's Why You're Broke.

Everyone who's making money in markets right now built their own OpenClaw AI bots months ago. You're still staring at charts.

I've made the exact step-by-step guide to build your own AI trading bots + indicators. No coding. Free.

Giving it Free for 24 hours, To get it:

1. Comment "OpenClaw"
2. Like and Retweet
3. Follow me @codewithimanshu (so i can DM you)

While you're paying $200/month for some random guy's signals that don't work, people with zero coding skills are building their own bots in 30 minutes using ChatGPT.

You don't need to code. You don't need experience. You just need to stop doing what's clearly not working.

> Turn any TradingView indicator into a full strategy
> AI indicators for scalping and day trading
> Backtest everything before risking a single dollar
> Works for forex, crypto, stocks

Stop buying courses. Stop paying for signals. Stop watching others make money.

Full video tutorial attached. This is the only guide you need.

You Must Follow me @codewithimanshu, so i can send you DM.

Save this post to make sure you don't miss this one.

[Chace Chambers @ChamberofFit]

You don't need to spend hours in the kitchen to lose fat.

You need 9 quick meals like these that are high protein, tasty, and low in calories (bookmark this):🧵

1. Beijing Beef Rice Bowl

[JM @Jedimind33]

@Shahriar661731 Need