The Crypto Dog 📈✓

@TheCryptoDog

STEM PhD dropout / $crypto-trading dog🐕 Started mining #bitcoin in 2011. Investor / market commentator. Health & wellness e-com https://t.co/3Sc2dmFhLt

4.5K Following845K Followers41.1K Posts
  1. The Crypto Dog 📈✓@TheCryptoDog
    The mission is pro retail, anti insider, anti rug, anti extraction. The mission is the complete reverse of every* celebrity memecoin launch to date. They want to show that you can launch in a fair way that gives anyone a chance, while actively lying to and psyopping insiders who might take advantage. No one is above another. I've found too many coincidences and clues I believe it is impossible [redacted] is not launched by him/the team working with him. I have complete faith and belief they will follow the mission and protect retail. Shake outs, no rug. They are giving retail every chance and actively preventing bad actors from winning. Since the college dropout each new project unleashed a paradigm shift in the music industry, then he did it again in fashion. Crypto will be no different. A perfectionist, a genius, and yes completely crazy. The most influential artist of our generation.
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  2. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @APompliano: Let me tell you a story about how unethical Anthropic is. In April, the Anthropic team began heavily courting our engineering team to tell them corporate secrets, technical details, and future plans for @cfosilvia. They pretended their interest was due to our exploding popularity and accelerating compute usage, but it quickly became apparent that Anthropic was fishing for details on how we built our product and why it was so popular. This included the Anthropic team trying to wine-and-dine our engineers, including a infamous steak dinner where someone told our team "don't worry about it, this is on Dario." Our team was not born yesterday, so we quickly realized what was happening and refused to share sensitive information and technical details with the Anthropic team. As we suspected, Anthropic was trying to get information from us, so they could build a competing product. Some people on their team must have a guilty conscious because they messaged us a few days ago to give us "a heads-up" that they were launching a competing product. Thankfully, the Silvia engineering team has been aggressively working to get off the frontier models for the last ~ 6 months. That effort has been highly successful, because our compute costs are ~ 97% lower when we use our own model & hardware, the latency is lower, and the accuracy of answers materially increases as well. The sad thing for Anthropic is they have now released an inferior product and they had to sell their soul to do it. The only thing worse than being a trillion-dollar company that can't beat a 10-person team is being a trillion-dollar company that no one trusts and everyone knows is unethical. Serious investors continue to choose @cfosilvia over ChatGPT, Claude, and other frontier companies because these products are not optimized to solve the actual user problem. Today, Anthropic launched a Claude wrapper that is masquerading as a personal finance product. Best of luck to them. But I will take the Silvia misfits vs the Anthropic losers any day of the week. if you want to support people trying to do things the right way, and help investors be more informed, then consider signing up for Silvia today:
    Claude @claudeai
    Introducing Personal Finance in Claude, in beta in the US. Connect the accounts you choose, and Claude answers your money questions in everyday language, from your own balances and transactions. Access is read-only, and Claude can't move, manage, or invest your money.
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  3. Claude✓@claudeai
    Introducing Personal Finance in Claude, in beta in the US. Connect the accounts you choose, and Claude answers your money questions in everyday language, from your own balances and transactions. Access is read-only, and Claude can't move, manage, or invest your money.
    Download
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  4. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @IncomeSharks: I honestly miss the days when 100% of the X timeline was just crypto. Not depressing news, not violent videos, not divisive politics. Just charts, coins, analysis, and people breaking down the technology. Coins priced in sats, and news outside of the space didn't matter at all.
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  5. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @NeerajKA: I’m not sure we want a small group of people with a particular set of strongly held moral convictions to surveil and control what is becoming our thought space
    Anthropic @AnthropicAI
    We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch. Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve. Read more on our new Safeguards blog:
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  6. Anthropic✓@AnthropicAI
    We’ve trained Claude to flag potential misuse in conversations, a technique we call self-assessment. Right after it responds, Claude gives a preliminary safety assessment of the conversation. Since we began using self-assessment in June, it has surfaced misuse that our other safeguards weren’t designed to catch. Because Claude has already read the conversation, self-assessment is very efficient. And unlike classifiers, which target a discrete set of harms, it draws on Claude’s own judgment, so it gets more accurate as our models improve. Read more on our new Safeguards blog:
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  7. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @sershokunin: @elonmusk Hi Elon, I would love to find a way to get our perpetual futures integrated into X. It would be a killer product.
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  8. The Crypto Dog 📈✓@TheCryptoDog
    Proxima has a clever way of obfuscating their fingerprint when collecting fees. They use throwaway stake accounts to move SOL which hides transfers from typical funding graphs since stake withdrawals aren't normal transfers.
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  9. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @Zeneca: Thinking back to using OpenClaw and Hermes at the start of this year and comparing it to using the best tools on the market today is like comparing broadband internet to dialup It's absolutely insane how janky and clunky things were back then, and how INSANELY good they are now
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  10. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @FourVork: If you ever used KYC you can go to jail now. This girl is facing 6 years in jail because criminals bought her KYC data on darknet, opened accounts with it, and used it for crime. She just passed a KYC for a regular platform and the provider leaked all the info of all users. it's now on darknet. There's a big chance your data has been leaked somewhere sometime, sold on darkweb for dirt cheap. So be carful doing KYC anywhere, from now on. current KYC and aml practices are CANCER that don't prevent the actual money launderers (government adjacent), but just hurt regular people
    Kyle Torpey @kyletorpey
    This story shows how hilariously broken online identity verification is from all relevant angles. 1. Your SSN, DOB, address history, etc. are sitting in countless data breaches and data-broker dumps. They’re cheap and widely available to basically anyone who looks. 2. KYC/AML mostly just checks that the data exists and matches a real person. It doesn’t confirm the person signing up is actually the real person behind that identity. Result: Amanda Smith spent three nights in jail and now faces up to six years in prison over a $1,000 CashApp scam account opened with her SSN and DOB. It wasn't necessarily opened by her, and the phone, IP, device, address, and other details don’t match. The funniest (and yes, saddest) part is CashApp wouldn't give her information about the account because she can’t prove she’s the owner. Her personal info was good enough to open the account, but not good enough to access it in the future, apparently. To be clear, CashApp is likely just following the law here. Anyway, we need to burn it all down and start fresh.
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  11. Kyle Torpey✓@kyletorpey
    This story shows how hilariously broken online identity verification is from all relevant angles. 1. Your SSN, DOB, address history, etc. are sitting in countless data breaches and data-broker dumps. They’re cheap and widely available to basically anyone who looks. 2. KYC/AML mostly just checks that the data exists and matches a real person. It doesn’t confirm the person signing up is actually the real person behind that identity. Result: Amanda Smith spent three nights in jail and now faces up to six years in prison over a $1,000 CashApp scam account opened with her SSN and DOB. It wasn't necessarily opened by her, and the phone, IP, device, address, and other details don’t match. The funniest (and yes, saddest) part is CashApp wouldn't give her information about the account because she can’t prove she’s the owner. Her personal info was good enough to open the account, but not good enough to access it in the future, apparently. To be clear, CashApp is likely just following the law here. Anyway, we need to burn it all down and start fresh.
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  12. The Crypto Dog 📈✓@TheCryptoDog
    Highly motivated people with a bit of creativity and willingness to think outside of the box and dive into the things they don't understand fully are going to be heavily rewarded in this AI era.
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  13. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @WhiteWhaleLabs: The Audit Of The Memecoin Casino Since late August we have recorded every trade on every pump fun and Stonk launch on Solana. Not a sample. All of it: 384 million swaps from 7.7 million wallets across more than a million pools, every bonding curve and every pool that follows it. That is over 56 GB of data and 820 million rows of market history, and it grows by 18 to 25 million trades, up to a million wallets and more than 60,000 new launches every day. We measured each coin minute by minute. We scored every entry by what the coin did next. We trained neural nets on the result, then went wallet by wallet looking for the people who actually win. The question was simple: can anyone see the big move coming before it happens? The short answer is no. The long answer is worse than no, because the data does not just fail to find an edge for you. It shows, in detail, who holds the edge, how they use it, and what they do with you. Start with a coin that has actually caught a bid: real volume, real buyers, the kind of thing that shows up on your screener. From any given moment, about one in ten of those doubles within the next 24 hours. The rest bleed, and the bleeding is not gentle. Now take a wallet's first buy into a live coin. Every first buy, 22.8 million of them over a two-week window. In 17% of those entries the coin doubles before it drops 40%. Trade that mechanically, double or stop, and you lose about 19% per attempt after costs. Call that the house hold. A slot machine keeps 5 to 10%. This keeps 19%, per pull, before any skill or selection is applied. The reason is the shape of the payoff. A 2× pays you 100%. The failures do not cost you 10%; they cost you 50%, 80%, 95%. To break even you have to be right far more often than the game allows. The cabal is real, and we can see it CT calls it the cabal. The data calls it a cluster: a set of wallets whose first buys land within a minute of each other, on the same brand-new coins, over and over. We do not find them by name or PFP. They fall out of the trade stream all on their own. They are there. Swarms of 450, 1,400 and 2,000 wallets that hit hundreds of launches a week, moving in within the first minute or two of a coin's life. Smaller, tighter groups of 7 to 50 wallets that pick their spots. Across daily refreshes the count has run from 9 groups to 33, with members rotating in and out as wallets burn and fresh ones take their place. They are not guessing. The coins the big swarms pile into double 28 to 46% of the time, three to four times the base rate. Their own entries, across every coin they touch, run 50 to 60% to a 2× before a 40% drop, against 17% for everyone else. That is what an edge looks like in this market. It belongs to a few hundred wallets, and it is applied to tens of thousands of launches with industrial regularity. Copying them loses too The obvious retort: find the cabal, copy the cabal. We did exactly that. A machine watches every launch every minute and flags the moment a known group piles in. Then we traded every flag the way a fast human could: in two minutes behind the group, double or stop out at −40%, out after a day. Following the big swarms lost 41% per coin across 93 coins. The median result was −95%. Not because they were wrong; their coins doubled 28% of the time. Two minutes behind them is simply already the top of the move. They bought at launch. You bought the candle they are selling into. Following only the groups with a positive track record still lost 11% per coin. Following one good wallet on its own lost 20% per trade in our back-tests. The single pocket that came out ahead, a handful of small, tight groups, made about 10% per coin over 16 coins. That is a few days of trades and nothing anyone should bet a bankroll on. The cabal's edge is not information you can borrow. It is position. By the time their trade is visible on-chain, the thing that made it profitable is gone. The best model we could build still loses We also tried the honest version: no cabal, just prediction. Dozens of signals per coin every minute, price, flow, liquidity, holder behaviour, bot share, fed into neural nets trained on our own history and tested on days they had never seen. It works, in the sense a quant would recognize. The top of its ranking doubles 26% of the time against a 10% base rate. Two and a half times better than chance. It also loses money every single day. 771 picks over eight days; every day negative; −11% per pick on the same double-or-stop rule; the median pick down 45%; 55% stopped out within 24 hours. The ranking is real and the P&L is still red. The losers are deeper than the winners are tall, and nothing observable at the five-minute mark separates the coin that keeps going from the one that reverses. That is the part worth meditating on: a model 2.5× better than chance odds is still a losing model. Why nobody sees it coming The reason is simple, and it should change how you look at every chart. A meme coin moves because a few people decide to move it: the operator holding the supply, the caller with an audience, the wallet group with the bankroll. That decision is made off-chain. The chain only shows you its execution, the swaps, the volume, the new holders, and by then the first leg is done. Everything a trader looks at, from a screener to a chart to a wallet tracker, is a photograph of a decision that has already been made. The data is enormous and almost all of it is the crowd reacting. The informative part, a few hundred wallets' intent, is visible only at the instant it executes, and the people executing it are the ones selling to you a few minutes later. Add 60,000 launches a day, and the future 100× at minute one is indistinguishable from the 59,999 that die. The casino does not need to hide the cards because it deals them faster than anyone can read and analyze them. Conclusion After spending thousands of dollars in API credits, VPS costs, Claude credits, etc the goal was simple: find alpha - if it exists - in order to be able to monetize it. Instead, all we were able to prove is what we all have suspected all along - the meme coin casino is almost entirely cabal driven. 🫡 From the depths — The White Whale 🐋
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  14. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @TraderMercury: there is no need to flip bias every 4 seconds. either let the big picture (uptrend) play out, or let it reverse and fail regardless of what happens next, using insignificant price action as a directional signal is the best way to ensure that you have no confidence for the signals that actually matter. higher timeframes are favorable as it stands. it's not your job to go searching for reasons why they'll fail; it's the market's job to prove you wrong. let the lunatics chop themselves in the meantime. goodluck.
    Mercury @TraderMercury
    $BTC sneezes -1%, alts continue their pullbacks into HTF trends, and the timeline is discussing WWIII nothing new. whether you get 'lucky' or not is largely determined by what you decide to do with this info goodluck to us all.
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  15. Mercury✓@TraderMercury
    $BTC sneezes -1%, alts continue their pullbacks into HTF trends, and the timeline is discussing WWIII nothing new. whether you get 'lucky' or not is largely determined by what you decide to do with this info goodluck to us all.
    Download
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  16. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @LomahCrypto: It has occurred to me that people are confusing their meme coins as proxy for the trend of the crypto market. Our meme coins being down does not mean we're in a bear market. The meme coins being down is actually a combination of limited liquidity spread thin by low barrier-to-entry launches and extractive KOLs being good at extracting. Ex: a mediocre burglar but you keep your doors unlocked with zero cameras or other precautions. Too easy for people to mistake noise as signal. New wars, AI/SI, interest rates, etc. headlines every other day. The level is $78-81K, we could trade and consolidate here for a few weeks or months. Price not moving up as fast as you'd like is not bearish. Bull.
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  17. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @Bluntz_Capital: cate holders absolutely dominating the fomo leaderboards today and cate also closing in on a whopping 143k holders. $cate
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  18. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @edwardmorra_btc: listen, I don't make the rules when ETH is in an uptrend and runs the lows - it goes up after simple math
    Edward Morra @edwardmorra_btc
    friendly reminder that ETH hit the cleanest SFP on daily you don't get this often at all until it starts to close below the lows ~$2350 the bull is still on imo. still in my longs. higher
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  19. Edward Morra✓@edwardmorra_btc
    friendly reminder that ETH hit the cleanest SFP on daily you don't get this often at all until it starts to close below the lows ~$2350 the bull is still on imo. still in my longs. higher
    Download
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  20. The Crypto Dog 📈✓@TheCryptoDog
    Any reason not to buy Zipcoin here? $ZC 40m ATH, sitting around 2.5m now.
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  21. The Crypto Dog 📈✓@TheCryptoDog
    Oh, yeah. $PYTH
    Download
    Chiefingza @chiefingza
    there is a coin that has churned through holders for the last 5 years, plays a central part in the RWA/tokenization boom, has rapidly growing ARR, just recently announced 100% of revenues go to buybacks, and a chart that's firmly breaking out...
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  22. Chiefingza✓@chiefingza
    there is a coin that has churned through holders for the last 5 years, plays a central part in the RWA/tokenization boom, has rapidly growing ARR, just recently announced 100% of revenues go to buybacks, and a chart that's firmly breaking out...
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  23. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @JackedBasedMgr: Not going to lie, building has had some unique challenges. For 8 months I have been working on Turns out.... My customers aren't who I thought they'd be. The people backing me, giving advice, and testing the products aren't who I thought they'd be... keep your eyes peeled, the building continues. @pumpPill
    Blockscout 🔭 @blockscout
    In the past 30 days, ChatGPT fetched PumpPill’s Robinhood Chain token reads 14,733 times. That's 8x the number of humans who opened the site. Learn more in Part 1 of Built on Blockscout, with @pumpPill
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  24. Blockscout 🔭✓@blockscout
    In the past 30 days, ChatGPT fetched PumpPill’s Robinhood Chain token reads 14,733 times. That's 8x the number of humans who opened the site. Learn more in Part 1 of Built on Blockscout, with @pumpPill
    Download
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  25. The Crypto Dog 📈✓@TheCryptoDog
    The Crypto Dog 📈
    RT @VentureCoinist: why does the first -20% pullback during a crypto bull market always convince people it's over?
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