Lora

hi u

[Lora @lorachaseee]

@Gadget440 Never trust someone who wears a lesbian ring to defend you… something is wrong with this guy

[Lora @lorachaseee]

@ayubio @AquieSantos Você é gay?

[Lora @lorachaseee]

@FelipeTadewald Melhor jogar no tigre

[Lora @lorachaseee]

@Jonvlogs @toguro Vc sempre teve essa cara de goblin perverso

[Lora @lorachaseee]

@MichelO23502972 @mendlowicz As vezes n. Mto acima.. uns 25-30k

[Lora @lorachaseee]

@mendlowicz 🧃

[Lora @lorachaseee]

IGBBMN

[Lora @lorachaseee]

@Farzan7 @cafecomferri Fuck off p4kistani scammer

[Lora @lorachaseee]

@AndersonPioner @ografista Fonte: doku

[Lora @lorachaseee]

Omg 7 months passed by already...... fkkkk can someone please slow down the time a bit?

[Lora @lorachaseee]

Why is the new fable 5 so gay and restrictive to everything I hate it lmao

[Lora @lorachaseee]

Felt pretty idk

[Kirill @kirillk_web3]

Anthropic CEO realizing some guy used Claude Code to build a $62,000/month YouTube system and just leaked the entire strategy for free

[Lora @lorachaseee]

@cafecomferri Cravou

[Lora @lorachaseee]

He

[RS 🪓 @RSPriebsch]

Como eu peguei um trade de 7,5 de R.R + Como operar rompimentos parte 2:

Entender o price action e as zonas de oferta e demanda são vitais pra entender onde comprar e vender, porem de nada adianta se você não souber se o Big Money está pró/contra o movimento que você espera.

Apenas Orderflow e GEX (Gamma Exposure) te trazem esse nível de granularidade.

Existem apenas 3 maneiras de você ter edge em um mercado tão eficiente como o de hoje em dia, onde mais de 80% de todas as operações são feitas via robôs.

Ou você tem:
- Acesso a mais informações (Data mais Granular).
- Utiliza todas as informações disponíveis melhor que a maioria.
- Tem mais velocidade de execução.

@MMT_Official_ para footprint + TPO + AMT.
@bookmap_pro para agressões.
@gammaflipio para Gamma Exposure.

Seja diferente, seja Equilibrium 🪓.

[Lunar @LunarResearcher]

An ex-OpenAI engineer walked up to me at a meetup in SF

I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence.

"You're trading blind. The data is sitting in the open and you're writing prompts"

I didn't understand. What data.

He took my laptop. Opened one repository.

https://t.co/klxt0tvrOd

86 million trades. Every wallet. Every entry. Every exit.

The entire Polymarket history since day one.

"At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades"

I asked - why Claude and not GPT?

He looked at me like I was an idiot.

"Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime"

That evening I connected it. Claude pulled 47 wallets in 4 minutes.

Average profit: $214K. Hold time: 7 hours.

91% close their position BEFORE resolution.

Top wallets capture 86% of the move and cut losers at 12%.

Everyone else - 58% of profit and hold losers to 41%.

Same exact entries. The exits make it a completely different game.

"Now connect the scanner"

https://t.co/SbyxXxFk0M

Three commands - the bot sees 500+ markets in real time. No API key. Read-only.

Claude built the scoring in 20 minutes:

Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours.

93% of markets get killed instantly. Only the fat ones survive.

"Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos

Copytrade here: https://t.co/N2byLbMfwH

Three exit triggers:

Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead.

I copied the whole stack.

VPS $5. Claude $20. Total $25 a month.

No team. No office. No Bloomberg.

16 days. 187 trades. 71% win rate. $800 seed.

+$8,700.

I sent him my screen. He replied a day later.

"You just replicated for $25 what cost us six months and 11 people"

I said - thanks for the tip.

"Delete this chat"

Too late.

[Rony @Ronycoder]

Instead of watching an hour of Netflix, watch this 2-hour Stanford lecture on AI careers. It will teach you more about winning in the AI race than all the AI content you’ve scrolled past this year.

[Sarvesh Shrivastava @bloggersarvesh]

> be Anthropic
> costs $20/month
> replaces your $10k/month SEO agency
> quietly creating business "millionaires" this year
> 20 free prompts in the article below

[Lora @lorachaseee]

@Barreto269 Se ele fosse com camisa de Stálin tudo bem ne? Comunismo pode?