Gary Goetsch

Excited by technology every day

#bitcoin

[Gary Goetsch @garygoetsch]

@codewithimanshu Claude

[Himanshu Kumar @codewithimanshu]

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 @codewithimanshu so I can DM you

Save this post. Build the consensus system this week. Start with $200. Scale on evidence.

[Gary Goetsch @garygoetsch]

@NextGenAi5 AI

[Kaizen 黒 @NextGenAi5]

My dad called Claude “a toy for people who can’t trade.”

He’s been trading for 20 years.

I didn’t argue.

I just turned the monitor toward him.

He read the results twice.

“…That can’t be right.”

27 days.

$200 → $25,400.

74% win rate.

Sharpe 2.47.

While 92% of traders lose money, a tiny fraction quietly extracts millions.

Then I showed him why.

86M+ Polymarket trades analyzed.

Every wallet.
Every entry.
Every exit.

One Claude prompt:

“Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit.”

14,000 wallets scanned.

47 elite wallets found.

The top 20 earned more than the other 13,000 combined.

He looked at me and said:

“That’s not data. That’s a treasure map.”

But that wasn’t the real edge.

Three independent AI agents vote on every trade.

✅ 2 agree → Full position
⚠️ 1 agrees → Half position
❌ No consensus → No trade

That one rule eliminated nearly 40% of losing trades.

Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices.

One wallet grew $35K into $442K.

73 live dashboards handle everything:

• Whale tracking
• Insider detection
• Wallet clustering
• Signal scoring
• Arbitrage opportunities
• Smart money monitoring

No emotions.

No guessing.

Just data and execution.

Then he asked:

“How much does this cost?”

“About $25/month.”

Silence.

“I’ve been paying analysts six figures to do half of this.”

The crazy part?

The tools are public.

Most people still think AI is just for writing emails.

Meanwhile, others are quietly using it to build an edge.

🎁 I’m putting together the exact AI trading stack, prompts, and workflow behind this.

Like + Repost + Comment “AI” and I’ll DM it to you.
Follow @NextGenAi5 for More.

[Gary Goetsch @garygoetsch]

@NextGenAi5 Claude

[Kaizen 黒 @NextGenAi5]

A fired Goldman Sachs quant trader taught me everything in a single conversation

He said: “We don’t do predictions. We only buy contracts where the price deviation exceeds 6%.”

It’s just that simple
That’s the desk operation for a $2 million annual salary
I fed his explanation and 5 GitHub repos into Claude, and Claude built a scanner. It processes over 400 markets every hour

This scanner can find those contracts priced in the 7-19c range, with true probabilities between 60-90%
At these entry points, you need a win rate of 1/4
And this bot’s win rate is 81%

Three months later:
From $2,000 to $8,191
99 trades, Sharpe ratio 2.30

A few cases:
ETH Merge upgrade - market 72c, true probability 88%, +19c
SOL breaks $200 - market 44c, true probability 81%, +15c
Florida hurricane cat3+ - market 81c, true probability 92%, +7c
Wheat breaks $800 - market 53c, true probability 68%, +20c

All of these were found by the scanner, and all were profitable
He looked at my terminal last week
He said: “This is what we do with $800M, 47-person team.”
And my current setup costs $25 per month
Claude - $20
VPS - $5
Repos - free
API - free

Now there are 8 agents running 24/7:
velvet_void +$697
nano_alpha +$541
ratking_eth +$407
darkpool_7 +$356
His fund returned 19% last year
And my setup returned 409% in three months

The real edge was never any secret—it’s just always been expensive, until now

70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit

Giving This Free for 24 hours. To get it:

1. Comment the word 'CLAUDE'
2. Like and Retweet this post
3. Follow me @NextGenAi5 (so i can DM you)

[Gary Goetsch @garygoetsch]

@hasan28d Need

[Hasanuzzaman Khan @hasan28d]

I'm 27.

I've made $3 million selling ebooks online.

• No writing.
• No audience.
• No fancy sales funnel.

Here's the boring system that can make you at least $2,945 in the next 72 hours:

1. Find an unsexy, urgent problem

Go on Reddit. People complain there all day.

You're not looking for trends, you're looking for pain.

Example: "How to stop your husband from snoring at night"

That's your niche.

2. Build the outline with ChatGPT

Prompt it to outline 10 chapters around that problem.

Each chapter should stand alone, because Amazon shows samples, and samples sell books.

3. Write the book with Claude

Feed Claude your outline, your tone, your style.

Ask it to write 1,000 words per chapter.

Target: 80–150 pages. Done in an afternoon.

4. Design the cover in Canva

Most people skip this. Don't.

Your cover is your ad.

Great design = more clicks = more sales.

5. Publish on Amazon KDP

Upload. Done.

- No inventory.
- No sales page.
- No personal brand.

Amazon handles the rest.

Publish 3–5 books this way.

See what sells. Scale the winners.

Total cost to start: nearly $0.

Though I'd recommend investing $800–$1,500 in tools and freelancers once you're ready to treat it like a real business.

Want the full system?

My tools, my AI prompts, the exact process?

I recorded 5+ hours of tutorials covering all of it.

Like + comment "Need"

I'll DM you the full $50k/month system. Free for 24 hours.

(Follow first, otherwise I can't reach your DMs.)

[Gary Goetsch @garygoetsch]

@WorkflowWhisper Cuban

[NextDot @NextDotAI]

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[Gary Goetsch @garygoetsch]

@reachvaldo $

[NextDot @NextDotAI]

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[NextDot @NextDotAI]

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#EstatePlanning #PeaceOfMind #Family #EstatePlanningSimplified

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[NextDot @NextDotAI]

Tracking important documents doesn't have to be overwhelming. NextDot helps you organize wills, insurance policies, and guardianship papers - keeping your family secure. What's one document you need to organize? #EstatePlanning #PeaceOfMind #Family #EstatePlanningSimplified

[InfoSlips Connect Ltd @InfoSlipsCT_CA]

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