Romans 8:31 ✝️ | TA | FA | Advisor | Threador | Algorithmic Trader | Building @Ez_Algo | TG: t.me/teachingcrypto 🚨 Alert Channel: t.me/Cryptonite_Alerts

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$Btc I don’t want to jinx it… But the weekly bottom signal is back
$Btc 1D: Bottom Alert 4HR: Band flipped bull again for the first time since 63K Still alot of work to do & levels to reclaim, but wouldn't doubt seeing a decent bounce on btc after this garbage pa we've had the last few weeks
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$BTC | 4HR Reversal Alert flashing Needs to hold this level on close to confirm Lets see
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Lmao nope
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Best setup using @EZ_Algo catching break ups 🔸️Osc Momentum candles are bullish 🔸️PA Dots flipping green 🔸️S wave trending up Then its waiting on the Market line to flip green to confirm the breakup Target the Mid range / High range $BTC | $ETH | $XMR | $LINk
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The more i research $DOT, the more im convinced this hits 9figs Give 5M to add to my bag please 🙏
Grassroots demand is creating organic usage in the @usedotai ecosystem The result is a fundamentally different AI inference model… Privacy-first Efficient & cost-optimized by design When you can deliver comparable capabilities at a 10–15%+ pricing advantage, that difference compounds as usage scales Organic adoption is feeding an infrastructure advantage $DOT @usedotai can continuously optimize how models are selected and served Then there’s the ability to sell unused inference credits back to the team Instead of credits simply sitting idle, they can potentially retain utility and liquidity within the ecosystem Turning unused capacity into something economically productive rather than dead weight & credit where it’s due: @stagedhappen , @AlaaDelRey & the entire @usedotai team have seriously exceeded expectations with this direction This thesis is also starting to align with where institutional research is heading… @BlackRock ‘s latest “Machine-Native Economy” paper frames compute as an emerging economic resource and specifically highlights the importance of efficient model routing, compute optimization and programmable infrastructure as AI scales @GoldmanSachs Research estimates AI-agent token usage could multiply 24× by 2030, with enterprise, consumer, generative and physical AI driving enormous increases in inference demand If that trajectory even partially materializes, inference efficiency becomes a critical infrastructure problem As agents execute more tasks, inference becomes less about simply accessing a model and more about optimizing routing, compute, latency, cost and privacy at scale The platforms capable of efficiently serving that kind of demand.. While maintaining privacy and organically compounding usage… Sit directly at the intersection of the next compute cycle @usedotai is changing the way we build Open by design Private by architecture & engineered to push inference costs as low as possible usedot.xyz/ 🔴
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I just uncovered the biggest serial Rugpulling and Extraction operation on Robinhood The same operation is linked 53 launches within a 2 month period Total Extracted: $18.43 MILLION very likely more this is just what I could directly link 🧵
This goes much deeper than you imagine, I have uncovered a huge coordinated scammer operation. This same crew is responsible for dozens of launches and dozens of Millions extracted from RH chain alone in the last couple months Mega investigation coming soon ⌛
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if you think you're going to hit a certain number and leave this place you're not
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Yeah.. $Dust is undervalued Full Self custodial, Set it and forget it. Swap anywhere like normal while your round ups stack stocks, BTC/ETH/SOL, the top 50, or a small degen sleeve Your spare change builds the bag & Fees buy & burn $DUST
V1.1.1 goes live Tuesday. Alot of our investors have been asking for a crypto basket so you can stack blue chips like BTC, ETH and SOL. It's coming. Three crypto baskets: → Blue-chips: BTC, ETH, SOL, BNB, XRP. Evenly split, adjust the weights however you want. → Top 50: tracks the 50 biggest coins by market cap, hand picked by us. → Degen sleeve: microcaps we hand picked, capped at 10% of your basket.
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I see the vision here, Imagine protocol intergrations with this.. Legit Powder keg
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Audited as well
$DUST | @DustLabsX Looks really good Imo this ends up reprices a lot higher 0xf39a492D391970410B4EE685bDea448a5bDA698a Here's why 👇
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$BTC Ltf's still in buy mode Osc waves curling up Clear this mid range & this pops up
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$BTC Lame...
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There were signs.. Fakeout on 4HR 1HR momentum was breaking down today. As usual price followed after
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The more i research $DOT, the more im convinced this hits 9figs Give 5M to add to my bag please 🙏
Grassroots demand is creating organic usage in the @usedotai ecosystem The result is a fundamentally different AI inference model… Privacy-first Efficient & cost-optimized by design When you can deliver comparable capabilities at a 10–15%+ pricing advantage, that difference compounds as usage scales Organic adoption is feeding an infrastructure advantage $DOT @usedotai can continuously optimize how models are selected and served Then there’s the ability to sell unused inference credits back to the team Instead of credits simply sitting idle, they can potentially retain utility and liquidity within the ecosystem Turning unused capacity into something economically productive rather than dead weight & credit where it’s due: @stagedhappen , @AlaaDelRey & the entire @usedotai team have seriously exceeded expectations with this direction This thesis is also starting to align with where institutional research is heading… @BlackRock ‘s latest “Machine-Native Economy” paper frames compute as an emerging economic resource and specifically highlights the importance of efficient model routing, compute optimization and programmable infrastructure as AI scales @GoldmanSachs Research estimates AI-agent token usage could multiply 24× by 2030, with enterprise, consumer, generative and physical AI driving enormous increases in inference demand If that trajectory even partially materializes, inference efficiency becomes a critical infrastructure problem As agents execute more tasks, inference becomes less about simply accessing a model and more about optimizing routing, compute, latency, cost and privacy at scale The platforms capable of efficiently serving that kind of demand.. While maintaining privacy and organically compounding usage… Sit directly at the intersection of the next compute cycle @usedotai is changing the way we build Open by design Private by architecture & engineered to push inference costs as low as possible usedot.xyz/ 🔴
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Going to have to be break up the thesis 🧵 on why to not spam the T.L with 100 tweets
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Community is wild Good signs
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Make bag working great again
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Blackrock is coming onchain, and you're bearish????????
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Catching reversals has never been easier 🔄 $BTC | $NVDA | $SPX | $MU
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Replying to @EZ_Algo
Works on lower timeframes as well $Eth & $Sol 15min chart shown The ranges automate itself & gives a guide on where to target
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Same method on $LTC
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Replying to @EZ_Algo
Same approach im looking at $Eth on 3D & Weekly as its previous mark up to range highs
$ETH | 3D Same repeating pattern as the last yellow box Range Highs are coming soon
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Best setup using @EZ_Algo catching break ups 🔸️Osc Momentum candles are bullish 🔸️PA Dots flipping green 🔸️S wave trending up Then its waiting on the Market line to flip green to confirm the breakup Target the Mid range / High range $BTC | $ETH | $XMR | $LINk
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