wetsock 🧦

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wetsock 🧦

wetsock 🧦

@Wetsockcalls

I post levels. not advice.

Top drawer - inside the candle Katılım Aralık 2023
144 Takip Edilen28 Takipçiler
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wetsock 🧦
wetsock 🧦@Wetsockcalls·
bessy rejected 78. lost 76. 75 holds or we flush to 71. nothing between. 🧦
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Rick Roas
Rick Roas@ceonadz·
Screw it. I wanna give back. I'm giving away my FULL system for AI Slideshows on Tiktok that's made me over $100,000. (Including how to use AI to do the majority of the work) All packed into an in-depth Guide. • Like this • Retweet + Comment "Print" & I'll DM you the full thing. *Must Follow*
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Rick Roas
Rick Roas@ceonadz·
one tiktok slideshow. 2.4 million views. 77,000 likes. made me $10k in one fu*king day as crazy as it sounds it took me 30 min to make that one slide. Performance marketing (Glitchy) FULL COURSE that teaches you how to run any offers and promote it to tiktok efficiently. Like+Retweet+comment "Tiktok" to receive the guide (only up for 48 hours only)
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Jessica AI
Jessica AI@AkterBrist39045·
Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me
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George Stock
George Stock@georgesttock·
If you're not doing this yet, you're leaving money on the table. Animation-style ads are scaling fast — and with our new feature, making them is stupidly easy. - Reference video - Claude prompt - Product image - All for $1 Clones backgrounds, typography, zooms, cut rhythm, and pacing, then swaps in your product, your face, your voice. I made a step-by-step guide on how to build these. Comment "EDIT" and I'll DM it
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Cas.Fyn
Cas.Fyn@FynCas·
If you want to do affiliate commissions, listen carefully. I'm pulling $80K/month using nothing but AI animated avatars reviewing products — dropping 100+ videos a day on autopilot. No camera. No editing. No guesswork. Now stack that with full animated ads — claymation, Pixar, anime, Wes Anderson, Lego, you name it — generated end-to-end for a fraction of a cent each. I put together a complete guide with everything inside so you don't have to piece it together yourself. Follow & comment "AFF" — I'll DM you the playbook.
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Noah Frydberg | Tiktok Shop For Brands
This Instagram account made $500,000 in revenue using AI - no ad spend - no lost time - no crazy claims Instead: - Making videos below $5 per video - Making six figures on this one account alone - Helping the brand reach over $2m in lifetime sales relatively passively If you are a UGC AI affiliate creator and you want to get trained and paid to do this, comment "scale" and I will share the free ai ugc affiliate guide with you :)
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Become Viral | Faceless YouTube Experts
$116k the past 90 days on my own faceless youtube channel. Time put in: <2 hours I made a 20 minute video breaking down the entire process. Want it? Comment "faceless" and ill dm it to ya (must be following)
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wetsock 🧦
wetsock 🧦@Wetsockcalls·
@JoelHodlman Bitcoin is built on proof Proof it was mined Proof it was transacted Prof it exists
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Joel Hodlman
Joel Hodlman@JoelHodlman·
My 5 year old son asked me: “What is bitcoin made of? Is it made of metal or bricks, like what is it made of?” Anyone have a good answer for a 5 year old?
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Himanshu Kumar
Himanshu Kumar@codewithimanshu·
A 33-year-old trader became obsessed with probability instead of predictions. Instead of asking "Where will Bitcoin go?" He asked: "What if 31 different models vote before every trade?" That single idea changed everything. I studied the system and rebuilt the framework. Giving it away free for the next 24 hours. To get it: 1. Comment "BTC" 2. Like & Retweet 3. Follow @codewithimanshu (so I can DM you) You only need Claude + a laptop + 1 hour/day. The idea behind the system: One model is noise. 31 models voting is signal. Instead of relying on one indicator, the engine waits for overwhelming agreement before risking capital. Here's how it works: → Claude monitors BTC every 5 minutes → Feeds market data into the MiroFish simulation engine → Runs 31 independent market simulations → Trades only when 28+ models agree → Rejects trades when consensus disappears No emotions. No FOMO. No impulsive entries. Just probability. Most traders force trades every day. This system is designed to wait. The framework also includes: → Kelly sizing for position management → Continuous data collection → Automated simulation cycles → Bayesian probability updates → Risk filters before execution Why it works: Most people try to predict the market. This framework waits until multiple independent models reach the same conclusion before acting. The edge isn't certainty. The edge is consensus. Deployment checklist: → Claude API access → MiroFish setup → Python environment → Exchange data feeds → Telegram alerts (optional) Recommended workflow: → Test in paper trading first → Track performance over hundreds of trades → Validate the strategy before risking real capital → Scale only after consistent results Markets reward discipline. Not predictions. Save this post. Build the framework. Let probability—not emotion—make the decisions. Follow @codewithimanshu so I can send you the complete guide.
Himanshu Kumar@codewithimanshu

You are still scanning charts one by one. Claude did it in just 14 seconds. No clicking. No switching tabs. No manual work. One prompt was enough: "Find every BTC futures contract with RSI below 30 and volume above 200%." Claude instantly: → Found 6 matching BTC futures contracts → Opened all charts side by side → Drew key support levels automatically → Started Pine Script backtests → Marked entry zones in green Then came the replay test. Replay the last 7 days and show every valid entry based on my strategy. Claude switched modes automatically. Scanned every candle. Marked 9 historical entries. Backtest result: → $4,780 profit → 83% accuracy Backtest only. Not live trading. Next test: Build a momentum oscillator that tracks whale activity against price direction. 40 seconds later... The custom indicator was built and added to the chart. Most traders spend hours doing this manually. Claude does it in about 90 seconds. It scans hundreds of contracts. Draws support and resistance. Runs backtests. Marks entry zones. Your trading strategy doesn't change. The execution becomes almost instant. Want the complete setup? 1. Comment BTC 2. Like & repost this 3. Follow me @codewithimanshu so I can DM you the full guide. Save this post and automate your chart analysis.

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Tooth Chipper
Tooth Chipper@Tooth_Chipper·
You may not like it, but this is what peak performance looks like.
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Romain Torres
Romain Torres@rom1trs·
I built a Claude skill that makes motion-style animation. > Paste a reference image > It generates frames with Nano Banana 2 > and animates the video with Seedance 2.0 Everything runs in Claude through the Arcads MCP Comment "Motion", and I'll send you the skill
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FinancialFreedom
FinancialFreedom@FinFreedom414·
The $MSTR death spiral continues.
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wetsock 🧦
wetsock 🧦@Wetsockcalls·
Before you run Fable and blow out your back Git Caveman Ponytail Headroom Stay soaked friends
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wetsock 🧦
wetsock 🧦@Wetsockcalls·
This is what we've been training for... Dip a toe my friend the waters fine
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wetsock 🧦
wetsock 🧦@Wetsockcalls·
@rektfencer Strategy faud is unfounded. Will it go down more absolutely. It's going to rip everyone's faces off as it comes back up
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Josh Pigford
Josh Pigford@Shpigford·
🚨⚠️ IT'S TIME TO RISE UP AND BUILD, BOYS. TELL YOUR WIFE YOU'LL SEE HER IN A MONTH. TELL YOUR KIDS YOU'LL SEE THEM MAYBE NEVER. ⚠️🚨 YOU'VE GOT BUILDING TO DO. LIVES TO CHANGES. PROBLEMS TO SOLVE. BANDS TO MAKE. THIS IS WHAT WE'VE TRAINED FOR. ✊ NEVER STOP NEVER STOPPING.
Anthropic@AnthropicAI

Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and block more cybersecurity tasks. In the near term, some routine tasks like coding and debugging will fall back to Opus 4.8. We’ll continue to refine these classifiers over the coming weeks to reduce false positives and better distinguish genuine misuse from legitimate requests. We’ve also begun drafting a consensus framework—with Amazon, Microsoft, Google, and other Glasswing partners—for assessing the severity of AI jailbreaks and how AI developers should respond to them. We invite other industry partners and model providers to join us in this effort. Finally, we’re scaling up our collaboration with the US government on model testing and safeguards. This will include pre-release access to models and safeguards for evaluation, information sharing on jailbreaks and misuse, and dedicated resources for joint research. Thank you to our users for your patience, and to our partners across the government, industry, and the research community who worked alongside us to make Fable 5 available again. Read our full blog: anthropic.com/news/redeployi…

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