whaler @whalerdev

In the newest round of nonsense I’ve seen circulating, allow me to correct the facts because…truth always matters. 1. Six figures, not seven. And 100% has been used for buybacks & airdrops. 2. No one launched it “for me” - they launched it despite my massive protest at the time. 3. Nothing makes me happier than the fact that all of these fees have gone to the direct benefit of the community (buybacks & airdrops) instead of the racist, serial dev who once told me that the only way this would be successful was if we posted racist memes and worked with MEXC. I think my way has worked much better 😎

@TheWhiteWhaleV2 whole lot of yap, just say you got finnessed by the asian's and move on

Gloves off. I'm F$%*ing pissed. A little over three hours ago our monitoring systems alerted us to a very unusually sized sell limit order on ByBit spot. Close to $200K in value. We saw the order flip in and out of view (classic signs of spoofing). I attacked the sell wall by placing a couple of large market orders, and magically it disappeared afterwards (even tho my buys were no where near the size to knock it out, my goal was just to damage it). Seems like someone didn't want to sell after all. Large "spoofed" sell walls are intended to accomplish one function: trick bots, algo traders and regular humans into believing there is much more resistance immediately above price than below it. This taking place on a weekend with low organic volume is no accident. They continued to "walk down" the price until they got what they came for, which was long liquidations. And of course as soon as those liquidations were achieved the very large spoof order disappeared from the books. This blatant market manipulation is easy to spot on lower market-cap tokens, but this is what goes on all day every day in crypto. Who is doing this? It's not ByBit themselves. They are a fairly well-respected Tier One exchange and unlike other shady CEXs they don't need to market make their own books. This is clearly a large actor who stood to benefit from the price move. The most likely culprit? Whoever is performing the market making on the perps book. The problem is that any one of a number of Market Makers can market make any token they want. Once they are approved to access the exchange there's nothing stopping them from doing this. We never asked for a perps listing. If we had been asked we would have said we didn't want one. It's too easy to let perps drive price discovery for a lot less capital invested. I believe price discovery should be driven by spot, at the very least until asset maturity. How are they doing this? They use a combination of DEX selling, CEX selling, CEX spoof falls to trigger their desired outcome. Then they buy the dips they force to take place. They reload cheaply once they trigger a cascade because bot and human selling help them lower price to their targets. That's when they load up. Which is why they can repeat this all day long and not lose money on the spot buys they make. What can we do about it? So much of spot trading is bot/algo driven. We can't reprogram every bot to identify spoofed liquidity and not respond to it. It's literally a robot war. Bots deceiving each other. Bots not wanting to take the risk that the resistance isn't real and hedging on the side of caution. Buying into the initial dump feels logical, but you're just allowing them to exit at a higher profit. Instead, one tactic that we are deploying is putting limit buy orders just above where the liquidation clusters start on a move forward basis. We don't want to feed their profitability by trying to prevent the move but if we know their destination we do want to make that final journey as expensive as possible. This is because they will be forced to expend tokens at what is likely close to a break even or perhaps even a loss to make the move, making it much less rewarding. Additionally we have submitted yet another report to @Bybit_Official 's market surveillance team asking for an investigation. We do not know who the actor is, naturally (CEXs are black boxes) but we do know what activity is taking place. It is our sincere hope that our partners at @Bybit_Official take steps to reduce or eliminate this activity. Legal and internal definitions of "spoofing" vary greatly, and its very likely the actor knows how to conduct this behavior in a method that evades falling into the "spoofing" definition. That does not, however, mean that it is not active market manipulation - which is against their Terms of Service. We aren't sleeping on the job. We are literally monitoring these sorts of things 24 hours a day. We have seen their tactics shift and adapt as our tactics have shifted and adapted. (My favorite was when they attempted to hide the spoofing activity by also spoofing some on the buy side, although with much less money to still make the sell side seem more powerful). When the chart only makes sense once you look at a liquidation heatmap? Chances are someone applied these sorts of tactics to make it happen. This is why supply control is so very important, and why the Treasury is still accumulating supply on a daily basis. By making supply more scarce, and in the hands of actual stewards of the project (the project itself and its loyal community), these types of games become more difficult the more time goes on. I have spent so much time putting counter-moves up against the blatant market manipulation its taken away time from other things I should be doing. Like writing new video scripts, crafting new educational posts, etc. So why am I so pissed right now? Well, because today I lost. I've been winning the war a lot lately, but just wasn't able to pull of a victory today. But more than that, because this kind of nonsense should not be allowed to take place to begin with. Sadly it does...all day long...on every asset in crypto. This is why I've said since my appearance on X that the goal of trading in this space is to understand the Apex Predator so that you can walk in harmony with them, instead of being their prey. For the love of all that is holy, don't leverage trade our token. They are hunting. Shorts will be the next ones hunted. 🫡 From the depths — The White Whale 🐋

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675 days of accumulation This is the easiest trade of all time. $300 $SOL by May.

📊 BIG: On Feb. 6, 66.94K BTC flowed into accumulator addresses, the largest inflow this cycle. Whales bought the dip during the recent drop, per CryptoQuant.

x.com/i/article/2020…

@CoinMarketCap ive seen this guy irl, suprised he leaves the house

LATEST: 💰 Strategy bought another 1,142 Bitcoin for $90 million at an average price of $78,815 per coin, bringing its total holdings to 714,644 BTC, worth approximately $49.2 billion.

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@CoinDesk @tempo didnt expect this

Farcaster co-founders Dan Romero and Varun Srinivasan announced today they will be joining stablecoin startup @tempo.

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There should perhaps be a psychological study on the people that pick out random words from your tweets and make coins from them like quick guys he said toothpaste quick raid raid raid, but then they get annoyed and say how come you aren’t supporting toothpaste token when you previously used the word toothpaste in a sentence

I'm gonna swap all my sol for cardano Good bye sol

3 months ago...

Even in a slow market… we cook 10X daily You can keep fading or join today This is where you can join -> whop.com/lynk

BlackRock just aped $145 million You are not bullish enough

I will retire my bloodline this cycle. I will retire my bloodline this cycle. I will retire my bloodline this cycle. I will retire my bloodline this cycle. I will retire my bloodline this cycle. I will retire my bloodline this cycle.

Steak to BMW

New short course: Event-Driven Agentic Document Workflows. Event-driven workflows are a key design pattern in which many pieces of work (LLM calls, tool use, etc.) can be carried out asynchronously and in parallel, and completion of specific steps generate events that trigger other work to begin. In this course, created in partnership with @llama_index and @seldo, VP of Developer Relations, you'll learn to apply this technique to document workflows. Filling out complex forms can be tedious, time-consuming, and error-prone. Agentic workflows can automate this. This course teaches you how to build an agentic document workflow using an event-driven architecture. You'll design an event-driven agentic workflow that fills out a PDF form based on information from a source document. The agent will use RAG to retrieve relevant data from the source document, parse the form to identify the required fields, convert the blank spaces into questions, and send those questions to the RAG system to fill the form. You'll collaborate with the agent using a human-in-the-loop feedback approach through text and with your voice. In detail, you’ll: - Understand the basic concepts of event-driven workflows. - Build a series of LlamaIndex’s workflows that increase in complexity from branching and looping logic to concurrent executions. - Set up the agent’s RAG capability by parsing the source document, loading the extracted information into a vector store, and building a query engine on top of the store. - Implement workflow steps that enable the agent to parse the form to be filled, turn the parsed information into simple questions, and use the questions to query the RAG pipeline. - Incorporate human-in-the-loop into the workflow and ask the agent to re-answer when necessary to produce more accurate form responses. - Add multimodal capability to the agent, allowing it to process spoken feedback. By the end of this course, you will have built an event-driven agentic workflow that fills out a document and responds to human feedback to complete the form more accurately. Please sign up here: deeplearning.ai/short-courses/…

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here! deeplearning.ai/short-courses/…