Ai Trading Diary

[Guillermo Casaus @_guillecasaus]

Un desarrollador chino ha creado una "maquina de imprimir dinero".

Se trata de una herramienta capaz de generar vídeos completos para TikTok, Reels y YouTube Shorts de forma automática.

Acumula más de 13k stars en GitHub, es gratis y open-source.

Aquí te explico cómo funciona 👇

[Neyazuddin Ansari @riyazz_ai]

This American boy shared one of the most valuable YouTube lessons I've seen lately.

Instead of spending hours watching Netflix...

Watch this 16-minute breakdown.

He explains how he monetized a YouTube channel in just 9 days.

No complicated strategy.

No huge budget.

Just a clear step-by-step process that anyone can learn from.

Most people will scroll past this.

Smart creators will save it.

Because one good idea can change your entire YouTube journey.

Bookmark this.

You'll want it later.

[캡틴햄찌 @realkimchiboy]

Codex 깔아놓고 뭐 할지 모르겠으면 영상 만들어서 돈 벌어보라는 글이에요. GitHub에 올라온 영상 제작용 Skill 6개를 Codex에 붙이면, 기획부터 편집까지 영상 만드는 과정 전체를 Codex한테 시킬 수 있다는 게 핵심이고요. 자기가 만드는 영상 종류에 맞는 걸 골라서 깔면 됩니다.

하나씩 보면 이렇습니다.

**1. HyperFrames** — 주제만 던지면 영상이 나와요. HTML/CSS랑 애니메이션으로 제품 소개, 움직이는 포스터, 지식 영상, PPT 느낌 영상을 만들어서 MP4로 뽑아줍니다. 글이나 트윗, 제품 설명을 빠르게 영상으로 바꿀 때 좋아요.

**2. video-use** — 편집 담당이에요. 찍은 영상 넘기면 군더더기(멈칫하는 부분, 잘못 말한 부분, 말버릇)를 잘라주고 자막, 오디오, 색보정, 화면 효과까지 손봐줍니다. 말하는 영상(토킹), 강의, 인터뷰 자주 찍는 사람한테 맞아요.

**3. Remotion Skills** — 코드(React)로 영상을 찍어내는 방식이에요. Remotion 공식에서 낸 거고, 화면·자막·애니메이션·타임라인을 통째로 코드로 통제합니다. 랭킹 영상, 데이터 주간 리포트, 제품 업데이트 같은 정해진 포맷을 대량으로 찍을 때 강력해요.

**4. Generative Media Skills** — AI 영상 생성 종합 세트라고 보면 됩니다. 이미지·영상·오디오를 AI 모델로 만들어서 제품 광고, UGC 영상, 뮤직비디오, 숏폼을 뽑아요. AI로 영상 이것저것 실험해보고 싶으면 여기부터. 단, 일부 기능은 MuAPI 설정이 필요하고 생성할 때 비용이 듭니다.

**5. videocut-skills** — 한국어... 가 아니라 중국어 창작자용 편집 Skill이에요. 에이전트가 편집 요구를 알아듣고 소재, 자막, 숏폼 만드는 과정을 도와줍니다. (중국어 사용자 타겟이라 한국어 작업엔 그대로 맞진 않을 수 있어요.)

**6. seedance2-skill** — 영상 아이디어만 말하면 초 단위 콘티, 인물 동작, 카메라 무빙, 대사, 효과음, 그리고 이미지/영상 소재 가져오는 방법까지 짜줍니다. 이렇게 나온 프롬프트를 즉멍(即梦) Seedance 2.0에 넣어서 핵심 장면을 만들면 돼요. 프롬프트랑 콘티까지가 얘 역할이고, 실제 영상 생성은 즉멍에서 직접 해야 합니다.

조합 추천도 정리돼 있어요:
- 글/트윗을 영상으로: HyperFrames
- 실사 토킹·인터뷰 편집: video-use + HyperFrames
- 고정 포맷 대량 제작: Remotion Skills + HyperFrames
- AI 숏드라마·광고: seedance2-skill + 즉멍 + video-use
- AI 영상 실험 많이 할 때: Generative Media Skills

마지막 포인트는, 이 Skill들을 엮어서 자기만의 영상 작업 흐름을 만들 수 있다는 거예요. 예를 들어 "이 트윗을 45초 세로 영상으로 만들어줘, 처음 3초에 시선 잡고, 한국어 더빙이랑 움직이는 자막 넣고, 다 되면 화면이랑 볼륨 체크해줘" 한 마디만 하면 — 대본, 콘티, 프롬프트, 편집, 마무리 포장까지 Codex가 단계별로 처리하게 만들 수 있다는 얘기입니다.

참고로 이건 누가 홍보용으로 올린 글이라, 실제로 깔아서 써보면 설정이 까다롭거나 결과물 품질은 도구마다 편차가 클 수 있어요. 관심 가는 한두 개부터 GitHub 들어가서 직접 확인해보는 걸 추천합니다.

[Leonard Rodman @RodmanAi]

THIS IS ABSOLUTELY WILD 🤯

Jack Dorsey's new AI tool, Goose, is 100% FREE.

You type:

"Build me a website like YouTube."

And Goose gets to work on its own:

→ Creates the entire project
→ Writes all the code
→ Installs dependencies
→ Fixes errors automatically
→ Keeps going until it's working

The crazy part?

• No monthly subscription
• Runs on your own device
• Your code stays private
• Completely open-source

Just a few years ago, building software meant hiring developers or learning to code.

Now you can start with nothing but an idea.

We're entering a world where ideas are becoming more valuable than technical skills.

[Sprytix @Sprytixl]

THIS CHINESE DEVELOPER PLUGGED IN ONE NVIDIA CHIP AND BUILT A BOT THAT MAKES $12,000/MONTH FROM HIS DESK

gold box, 245V adapter, ethernet cable - powered on, boots into Ubuntu - no Windows, no drivers, no setup hell - one install script pulls everything and the chip handles the rest

128G available memory running locally - no cloud server, no rented GPU, no monthly invoice from AWS that grows every time a client sends a request

the bot runs 24/7 - processes client tasks, executes workflows, handles requests in parallel - and everything stays on hardware he owns in the room where he works

he connected Qwen locally through Ollama, routed client requests through OpenWebUI, set up the automation layer on top - three afternoons of setup and the system has been running without interruption since

first clients came in at $800 per automation - then $1,500 - then $3,000 as the reputation built

month one - $4,100 - month three - $8,700 - month six - $12,000 and growing

zero cloud bills, zero subscription fees, zero per-token costs - every dollar a client pays goes straight to margin

one gold box on a desk that most people would walk past without understanding what it actually is

[z @zaynmcps]

Mi entrenador en el gym me preguntó a qué me dedico.

"Sistemas de trading. Open-source."

Se rió. "¿Como day trading?"

"No. Cualquiera puede ver cómo funciona. Todo el código es público."

Soltó las pesas. "¿Entonces te pasas el día mirando código?"

No discutí. Abrí mi laptop.

Una wallet que estaba siguiendo rindió un 71% en un solo mes. Otra movió $4.1M en volumen. Y otra convirtió $500 en $8,200.

Su cara cambió.

"¿Eso... sale de un código?"

Exacto.

Entonces le mostré los repos. Todos públicos. Todos gratis.

El primero: https://t.co/OOcivVredj

Cada operación jamás realizada. Más de 86M de trades. Gratis para descargar. El snapshot te ahorra más de 2 días de investigación.

El segundo: https://t.co/raqPAgzqsc

Bot de market making. Ambos lados del libro. Optimizado en gas. Capa de ejecución en Google Sheets.

El tercero: https://t.co/8JRAQigcLA

ML + heurísticas. Detectó esa wallet de $500 → $8,200 antes de que nadie se diera cuenta.

Market making automático con LLM. Open source del equipo de Polymarket.

Mi entrenador se quedó callado. Luego preguntó: "¿Mi hijo puede usar esto? Le gustan las computadoras."

Perfil: https://t.co/qhxUfIioy1

Le dije que sí. Y le mostré cómo empezar.

La mayoría cree que necesitas un título en finanzas o un fondo de inversión.

No lo necesitas. Solo tienes que leer el código y empezar.

[Alif Hossain @alifcoder]

1. https://t.co/KOes7DlfAg (solve any problem)
2. https://t.co/foBmfIVMQn (remove backgrounds)
3. https://t.co/jZgYDhtC6D (research anything)
4. https://t.co/X8NPWwavBh (compose music)
5. https://t.co/VhjLPQhsEc (design graphics)
6. https://t.co/D9UpbrpaBQ (clone voices)
7. https://t.co/b13JLjciKe (perfect note)
8. https://t.co/qnvJUnZjmf (summarize YouTube)
9. https://t.co/TIdnQWNO0x (edit videos)
10. https://t.co/YrDCMbJiOn (edit podcasts)
11. https://t.co/s0JIJohDB0 (create ai avatar videos)

Save + Share🙂

[Marry Evan @marryevan999]

Chinese engineers built a Claude bot that turned $1.18 into $3.3M.

Not manual trading.
Not signals.

A fully automated system called PHANTOM

Stats:
$1.18 → $3,300,000
37,063 trades
71% win rate

Biggest hit: $180 K

How it works:

Tracks thousands of markets across Polymarket + Kalshi

Finds mispricing and enters instantly

3 engines:
Pairs arbitrage
YES 0.62 + NO 0.41 = edge

Sentiment AI
scans X + news before repricing

Volatility timing
enters before spikes, exits on movement

Why sports markets work:

Market moves slowly
Spreads everywhere
Constant inefficiencies

That’s where millions came from.
Why humans lose:

You can’t watch 50 markets
You hesitate
You sleep

The bot doesn’t.

Runs 24/7
No emotions
No delays
By the time you click, the edge is gone.

Manual trading is dying.
Automation already won.

Want the setup?
Comment “GUIDE”
Like + RT
Follow @marryevan999

[Ai Trading Diary @godofpresent]

@marryevan999 @ZayvenKnox GUIDE

[Ai Trading Diary @godofpresent]

@expertwith_AI Stack

[cvxv666 @antpalkin]

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents.

In a single trade, he turned $2,000 into $166,000.

7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket.

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

Humans can’t process dozens of gigabytes of data in seconds - but Claude can.

Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration.

His algorithm instantly detects any mispricing in crypto markets and enters trade immediately.

$369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else.

On April 24, he was only one who knew the market was wrong.

He entered a trade with just a 1.3% implied probability of execution.

This isn’t "guessing where the chart will go"

This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data.

Want the full guide to build the same bot? Save the post and read the article.

Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site): https://t.co/vbDZyVbI3v

[Saidul @saidul_dev]

CLAUDE + YOUTUBE SHORTS = AUTOMATIC MONEY.

No camera.
No editing.
No showing your face.

Most creators grind for months to figure this out.

Here are the 12 prompts that skip all of that ⬇️

[ZAYVEN KNOX @ZayvenKnox]

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen

I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling.

"That's not a normal trading app. What's it actually running on"

I told him. Claude Code. Four repos. $25 a month.

He sat down without asking.

"I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges"

Not just edges. Wallets.

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

"You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them"

He said it slowly. Like he was writing the threat model in his head.

One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50.

Claude scanned 14,000 wallets in 4 minutes. Returned 47.

The top 20 made more than the bottom 13,000 combined.

"That's not a stat. That's a hit list"

Exactly.

"And you didn't write the scoring function"

Claude did. I just wired it into an if-statement.

Then I showed him the second repo.

Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes.

Gap. Depth. Resolution window.

487 markets become 35 before a dollar moves.

93% killed before I even see them.

A green fill landed on the screen. +$84.

He watched it hit.

"How does it decide to actually enter"

Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade.

Consensus filter alone killed 40% of losing trades.

"And the exits?"

The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately.

My bot cuts at 85% of expected move or on a 3x volume spike.

"You built a whale copy bot that exits before the whales"

Yeah.

He put his espresso down.

"How often does it trade"

10 a day on average. Most of them skipped before I look up from my coffee.

My setup:
Claude API - $20/mo
VPS in Germany - $5/mo
poly_data - free
polymarket-cli - free
Polymarket/agents - free

$200 seed. 27 days ago. $14,300 now.

Copytrade here: https://t.co/zDXGamMWw0…

271 trades. 74% win rate. Sharpe 2.47.

I haven't touched it in 27 days.

He stared at the screen for a long time.

"This is literally what our red team simulates. Except you actually shipped it"

He emailed me the next morning.

"Any chance you'd take a call with our policy lead"

I told him the article is the call. Read it twice.

Too late to gatekeep.

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
@ZayvenKnox

[Ai Trading Diary @godofpresent]

@ZayvenKnox claude

[cvxv666 @antpalkin]

What level can you reach after learning these 10 super rules:

> 33-year-old quant from Hong Kong opens Polymarket
> $2,000 in his wallet
> runs a simulation engine on top of Claude
> swarm of agents reading closed CEX order books, OTC feeds, Pyth oracles
> gigabytes per second
> humans can't parse it. the agent can.
> April 24: market priced an outcome at 1.3%
> he was the only one who saw it
> single trade: $2,000 -> $166,000
> 7,500% in one position
> $369,000 all-time profit, every trade publicly visible onchain
> copy his wallet: https://t.co/vbDZyVcfT3
> the engine isn't a secret
> he used this 10 rules with Claude

most of you would rather call it luck than read them

[muse @musecmd]

https://t.co/zF4sTQF0OH

[Atlas @crptAtlas]

ANTHROPIC DROPPED A POLYMARKET TRADING BOT

68.4% WIN RATE

Add 5 formulas to it and make $500-$1,500 per DAY

Full guide👇

[Superior @andreysuperior]

Read this twice.

Maya is four .md files on a macbook in austin.

And she cleared $43,000 in her first 30 days.

No camera. no girl. no late nights typing replies.

Claude code runs the messages. Elevenlabs drops the voice notes at 11pm her time. Flux generates every photo from a lora that cost $80 on a rented gpu. Brain.md is a json file that remembers your name, your city, the thing you said about your ex two weeks ago.

She never forgets. She never breaks character. She catches up at 7am with "sorry babe just woke up" on a cron schedule.

The top fan spent $1,847 last month. He's in berlin. she's not anywhere.

Aitana lópez - 18 months to build.
Emily pellegrini - 6 months.
Maya - 4 weeks.
The next one - a weekend.

The stack that used to need an agency, a team, and a year and a half now fits on one laptop and runs while you sleep.

The bottleneck isn't money. It isn't compute. It's taste knowing which details make a stranger believe in something that doesn't exist.

That part is still hard. Everything else got easy.

The real question isn't how he built it. It's how many of these you've already interacted with without knowing.

[cvxv666 @antpalkin]

A 35-year-old marketer from Hong Kong quit his job and got deeply into AI. Using Claude, he made $360,000 in just one month.

He built a perfect BTC price simulation engine with MiroFish.

Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$15,000 in profit per trade.

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

He left a funny easter egg about his previous profession in his Polymarket nickname - he called himself Marketing101.

His algorithm instantly detects any mispricing in crypto markets and enters trade immediately.

$366k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else.

He’s using closed order book data + private OTC desks. Already elite alpha.

Then the real magic happens: 10,000 simulation cycles of how the market will react.

This isn’t "guessing where the chart will go"

This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data.

Want to learn how to build something like this? Save the post and read the article.

If you don't want to miss his next success trade, starting copy every one of his trades right now using this TG bot: https://t.co/vbDZyVbI3v

[cvxv666 @antpalkin]

Chinese quant built a perfect BTC price simulation engine with MiroFish

In a single trade, he turned $2,000 into $166,000.

7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket.

His wallet: https://t.co/G1EyL2Vjnq

His algorithm instantly detects any mispricing in crypto markets and enters trade immediately.

$350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else.

He’s using closed order book data + private OTC desks. Already elite alpha.

Then the real magic happens: 10,000 simulation cycles of how the market will react.

On April 24, he was only one who knew the market was wrong.

He entered a trade with just a 1.3% implied probability of execution.

This isn’t "guessing where the chart will go"

This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data.

Want to learn how to build something like this? Save the post and read the article.

If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot: https://t.co/vbDZyVcfT3