A guy from Ohio built an AI trading bot that made over $1,000,000 in crypto markets.
Two full years of consistent profits.
Not luck. Not hype. Just pure alpha.
I reverse-engineered his entire system.
Same trader. Same playbook. Five winning trades:
$34 → $4,113 on ETH UP Nov 25 (119x)
$252 → $22,202 on ETH UP Feb 7 (88x)
$46 → $4,048 on ETH UP Aug 15 (87x)
$138 → $7,148 on SOL DOWN Sept (51x)
$63 → $3,259 on ETH DOWN May 16 (51x)
$1,003,045 total profit.
3,210 trades.
78% win rate.
I had to know if this was real or just lucky timing.
So I rebuilt his entire pipeline using Claude + Horizon + a PolyBench fork running on Nautilus-core.
7 stages:
→ Event Ingest
→ CLOB Snap
→ News Fetch
→ AI Infer
→ EV+ Gate
→ Size
→ Execute
CLOB depth at entry: $21K.
Slippage budget: 0.6¢.
Realized fill: 0.4¢.
DuckDB parquet holds 41.8 GB of point-in-time market state.
He doesn't predict where ETH goes.
He reads the gap between what his AI model knows and what the crowd hasn't priced in yet.
Every dollar he made came from someone paying for not seeing the mispricing fast enough.
The system runs on:
→ Claude for decision logic
→ Real-time market data
→ 1 hour per day to monitor
Save this if you want to learn how to build it yourself.
Or just study the trades of someone who's been trading perfectly for two years straight.
💡 I'm sharing the full breakdown for free for 24 hours.
To get it:
1️⃣ Comment "Fable"
2️⃣ Like and Repost
3️⃣ Follow @codewithimanshu So,I'll DM you the details.
He pasado más de 200 horas exprimiendo Gemini.
El resultado: Una biblioteca en Notion con los 400 mejores prompts avanzados para clonar tu cerebro y automatizar tu negocio.
Te ahorra semanas de trabajo en:
• Creación de contenido masivo
• Automatización de sistemas
• Copywriting que vende solo
... Y mucho más en 20 categorías.
GRATIS solo hoy.
Like + RT
Sígueme (para abrir DM)
Comenta "400"
My girlfriend asked why I was smiling at my phone at 3AM.
I lost my job last week.
Rent due in 4 days.
No backup plan.
Then I found a 33-year-old nerd who turned $1,000 into $946,207 trading Bitcoin with a trick he stole from hurricane forecasts.
No finance degree. No trading desk. Just a method every meteorologist uses and every trader ignores.
The method: meteorologists never forecast tomorrow with a single model. They run 31 and count the votes. He applied that exact framework to Bitcoin.
Built a Claude agent that reads every 5-minute BTC candle and feeds it into MiroFish simulator running 31 parallel prediction paths.
Trade only fires when 28 out of 31 models agree.
Below 26 votes? Trade dies instantly.
The agent moves faster than any human trading desk:
→ Collects market data 24/7 without breaks
→ Runs continuous simulations inside MiroFish engine
→ Operates fully autonomous with zero manual input
→ Every trade executes only when consensus hits threshold
→ Every dollar captured is pure market inefficiency exploit
That is the entire edge.
Not prediction. Consensus.
Position sizing follows Kelly criterion. Signal fires or it does not. Most signals fail the vote count, so the system stays flat most days.
He spent years learning that certainty is a scam and consensus is the only edge that matters.
You only need Claude + device + 1 hour per day.
Giving this free for 24 hours.
To get it:
1. Comment the word Claude
2. Like and retweet this
3. Follow me @expertwith_AI so I can DM you
Save this post. Build the consensus system this week. Start with $200. Scale on evidence.
@tarcisiogdf Perfeito!!! Só quem anda pelas Ruas do Rio de Janeiro por exemplo sabe o risco que corre.
Só um pai ou uma mãe de família sabe o risco que corre quando sai para o trabalho e deixa o filho(a) em casa.
Só um professor sabe o risco que corre quando entra em uma sala de aula.
Chinese scientists successfully conducted the world's first fine-tuning task of a billion-parameter AI model on China's independently developed 72-qubit third-generation superconducting quantum computer Origin Wukong, said Anhui Quantum Computing Engineering Research Center on Monday.
The experiment demonstrated an 8.4% improvement in effectiveness despite a 76% reduction in parameters, validating the feasibility of using quantum computing for lightweighting of AI large models.
@Mr_PepinoMan Mandou muito bem em brother. tb sou de lá.. maneirissímo.. e vc hoje esta aprendendo qual linguagem.. eu to meio que no mesmo barco.. quero sair do CLT da área de TI, para começar a codar também.
Abraço
boa sorte!!
@valsechi_ Perfeito meu amigo !!! Também sou do Defi. Aluanan aqui do RJ. Sua história realmente é algo que faz muito sentido para mim, pois ainda estou atrelado ao CLT procurando caminho para sumir disso. Sou novato neste universo. É isso! Sucesso!!!
Depois de mais de um ano acompanhando o conteúdo gratuito resolvi "comprar o curso" desse cara, mas para minha surpresa, fui introduzido ao conceito de comunidade, na minha cabeça eu teria um curso e fim, mas o Discord e todos os membros foram (e ainda são) o maior diferencial.
Passei pelos 12 módulos, aprendendo desde a história do dinheiro, conceitos de criptografia, blockchain, pools de liquidez, money legos e até rodar meu próprio nó de Bitcoin.