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Po La

@Polabuild369

Building Quant Terminal @Oraichain | AI × Perp edge for serious traders Pola's quant trading: https://t.co/5sROngshcE

Katılım Ocak 2025
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Po La
Po La@Polabuild369·
There’s too much happening in crypto every single day, and you waste hours scrolling on X just to stay updated. You can easily miss important updates from quant models, vaults, and news from $ORAI technology. Join Pola's channel: t.me/Polainsights This is the channel that will keep you updated quickly with the most important market news every day and detailed daily updates from Oraichain. All information is sourced from quality channels, internal sources, and my own research while developing and using the product.
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Po La
Po La@Polabuild369·
Everyone thinks AI is changing the game because companies can cut costs and reduce headcount. But that's only half the story. The people who remain are changing too. For decades, employees competed through degrees, credentials, and years of experience. Today, a single person equipped with AI Agents can operate at the output level of an entire team. That changes the negotiation. The best employees no longer see themselves as fixed-cost labor. They increasingly view themselves as profit centers. Why accept a fixed salary when your work can generate multiples of your compensation? This is exactly how investment firms have operated for years. Top portfolio managers aren't rewarded with salaries alone. They earn a meaningful share of the profits they create because incentives matter. When upside is shared, people think bigger, move faster, and compound results. I believe this model won't stay limited to hedge funds or trading firms. It will spread into traditional businesses. Marketing. Sales. Operations. Product. Engineering. Anywhere AI can amplify individual output. Imagine being an intern. Five years ago, you had little leverage in salary negotiations. Today, if you can prove that you and your AI Agent stack consistently outperform teams that used to require multiple employees, why shouldn't compensation reflect that? Higher salary. Revenue share. Profit share. Performance-based upside. Not because of entitlement. Because of measurable value creation. Of course, before making those demands, you need brutal honesty about your own capabilities. Results first. Negotiation second. Performance creates leverage. Not confidence. Not titles. Not hype. One framework I've found particularly interesting is the path shared by @DeRonin_ on becoming an AI Automation Engineer. The lessons go far beyond a single profession. The underlying message is universal: In the AI era, your value is no longer defined by how many hours you work. It's defined by how much output, revenue, and leverage you can create.
Ronin@DeRonin_

How to get a job as an AI Automation Engineer: AI automation is one of those fields where it's actually easier to get a job through non-traditional paths companies need people who can wire AI into their existing tools, automate workflows, and save them 40+ hours a week they don't care where you learned it so, here's my workflow for getting a job as an AI Automation Engineer: 1: Build your personal brand on X this should be your main platform follow AI startup founders, reply to them, post your workflows, show your thinking and value gonna to present next weeks how I'm doing it here 2: Build presence on LinkedIn or GitHub these are more traditional platforms but if you build your own automation system and it gets traction on GitHub, that's already way stronger than "work experience at a company" basically potential client checks out firstly your Github to get verification that you're good at your deal release open-source automation workflows to get the reputation 3: Share knowledge in communities n8n community, LangChain Discord, OpenAI forums, Claude community this is where real people hang out and opportunities appear cheat codes to stand out and get into the top 1%: 1: Build in public - show what you're building and how - CVs are outdated, people hire those who can build fast, ship real automations, and solve actual business problems 2. Learn to build with AI agents, not just drag-and-drop - one person with Claude Code can ship what used to take a 3-person dev team - the no-code ceiling hits fast.. agents don't have one 3. Do free audits before calls - before jumping on a call with a potential client, map out their broken workflows - show what you'd fix and how (this can also be turned into content on X) 4. Specialize narrowly - don't just be "AI automation engineer" - pick a niche: real estate, e-commerce, recruiting, legal - this makes you 10x easier to position and hire 5. Show measurable results - metrics matter (money especially) - "saved 40 hours/week" and "$12K/mo in reduced headcount" is what gets you hired - not "built a cool n8n workflow" main insight: this is a new profession, traditional "work experience" doesn't matter as much what matters is real skill, real projects, and proof you can ship forget chasing FAANG interviews right now you have a much better opportunity: - build in public - grow your brand - become visible - start earning within months, not years one more thing: everything in this field moves insanely fast what's relevant today may be outdated in a year so "experience" doesn't matter your real skill is adaptability + learning fast + constant practice I wrote a 10,000+ word roadmap breaking down exactly what to learn each month for 6 months every resource, every tool, every practice project read it below ⬇️

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Po La
Po La@Polabuild369·
I’ve done a deep dive into Variational and wanted to share a clear, balanced overview for anyone considering the platform. How Variational Works Instead of using a traditional order book like Hyperliquid or an AMM like GMX, Variational uses an RFQ (Request for Quote) model: > You send a request for a quote (buy/sell perps, options, or custom derivatives). > OLP (Omni Liquidity Provider) — currently operated by the team acts as the main counterparty and instantly quotes a price. > Liquidity is aggregated from multiple sources: Binance, Bybit, Hyperliquid, other DEXs, and even TradFi. > Result: True zero fees for users, with very tight spreads. When you trade, your order doesn’t get matched directly on a CEX. You trade against the OLP on Arbitrum (on-chain). The OLP then hedges the opposite position off-chain to stay roughly delta-neutral. Key Strengths > Genuine zero fees + tight spreads, even on larger sizes. > Ability to list hundreds of markets, including new tokens, RWAs, and exotic assets — without needing deep order book liquidity. > Fully on-chain settlement with segregated settlement pools — your collateral stays separate from the OLP’s capital. > Appeals to both retail traders and institutional players. Important Risks to Know > Heavy reliance on the OLP: Right now there’s only one main liquidity provider. If the OLP faces capital issues or hedging problems, users’ profitable PnL could become “bad debt.” > Off-chain hedging risk: The OLP must hedge on external CEXs, making it vulnerable if major exchanges restrict or complicate their activity. > Manipulation risk on low-cap tokens: While the team has implemented skew limits, OI caps, and other protections, thinly traded markets still carry higher manipulation risk. How They Make Money Variational doesn’t charge users any fees. Revenue comes entirely from spread. The OLP quotes a spread, subtracts hedging costs (very low thanks to high volume and VIP rates), and keeps the difference.
Variational@variational_io

We’ve raised $50M led by @dragonfly_xyz to go all in on RWAs and bring TradFi liquidity on-chain. Today, we're launching Phase 1 of our RWA rollout to stress-test our infrastructure before bringing 100+ TradFi markets on-chain this summer.

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Po La
Po La@Polabuild369·
@TrustlessState There's nothing much to say about $HYPE and $VVV. But why has $NEAR delivered such impressive growth?
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Po La
Po La@Polabuild369·
Goldman Sachs, one of the largest holders of XRP ETFs with over $150 million invested in Q4 2025, has completely sold off its entire $XRP and $SOL ETF positions. They have now shifted their capital into $HYPE in May 2026. According to Bitwise data, Hyperliquid has generated approximately $255 million in revenue since the beginning of 2026 — more than the combined revenue of the next two largest crypto projects. This perpetual DEX currently captures about one-third of the total revenue of the top 10 protocols in the market and accounts for 43% of all trading fees across the entire crypto industry, generating roughly $11 million in weekly trading fees. Importantly, 97% of Hyperliquid’s revenue is used to buy back $HYPE on the open market. With record-high trading volume and open interest, the amount of HYPE being bought back continues to grow rapidly.
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DEGEN NEWS@DegenerateNews

BREAKING: hyperliquid:native IS NOW UP OVER 120% THIS YEAR - OUTPERFORMING bitcoin:native, $ETH, $XRP, solana:So11111111111111111111111111111111111111112, $BNB, $DOGE, AND $COIN (@coinbase), WHICH ARE ALL DOWN DOUBLE DIGITS YTD

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Po La
Po La@Polabuild369·
@51bodila It seems analysis is the one thing new traders really need to master
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bodila
bodila@51bodila·
How Citadel looks inside: Trading Quant showed why the fund gives ~$100M to quants to trade and pays $700K in first year - and exactly why they make ~$10B in profit per year 90% of their best Portfolio Managers started as junior analysts and never left 6-min and you will learn how to get into the most profitable fund on Wall Street
bodila@51bodila

Ken Griffin warned that AI will replace entire teams at Citadel, right in front of Yale juniors 38-min workshop from the CEO of Citadel on the "incredibly terrifying" future of AI in hedge funds also, you'll learn how the man who lost everything in 2008 built the most profitable hedge fund of all time save this the most honest Ken Griffin lecture has ever been in public

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Po La
Po La@Polabuild369·
Many content creators and KOLs have realized that to mint 1 $DIEM, you need 714 sVVV meaning you must hold 714 $VVV, which is currently worth around $11,700. Some people see the $1,700 level as a much cheaper entry. A growing number of users are now actually using DIEM for real work and creation instead of just focusing on the price of VVV.
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David Hoffman
David Hoffman@TrustlessState·
Is $DIEM not wildly overpriced? 1 $DIEM = $1/day of free inference from @AskVenice 1 DIEM is $1,700, and you'll get your worth of inference after 4.65 years, if you use Venice every day. Seems just a lil bit high?
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Po La
Po La@Polabuild369·
@RohOnChain It seems after reading this article, I’ll be able to turn my currently losing models into much better ones
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Po La@Polabuild369·
@horizon_trade_x Right now, everything is focusing heavily on infrastructure plays. Especially notable: Leopold is shorting $NVDA alongside Michael Burry. I’m hoping the backtest results will give us a much clearer picture.
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Horizon
Horizon@horizon_trade_x·
$5 trillion company, Jensen Huang owns 3.5% of it and yesterday on Bloomberg he laid out the next decade of AI Net worth $191 billion. 7th richest human alive founded Nvidia in 1993 with 50%+ ownership, diluted himself to 3.5% gave equity to engineers $1 trillion of chip orders already booked through 2027 His exact words: "digital agents will be physical agents. Then we go to the physical AI" 20 minutes of where AI actually goes next
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Po La
Po La@Polabuild369·
IS AI UGC (ARCADS) ACTUALLY KILLING THE INDUSTRY, OR IS IT JUST A SOCIAL PROOF ILLUSION? Lately, the performance marketing space has been buzzing about @arcads_ai and how AI UGC tools are supposedly "killing" traditional creators by spitting out $2 videos and scaling hundreds of variations on autopilot. But here’s a massive counterargument that gets thrown around a lot: “KOLs and models are hired because their faces carry built-in trust and recognition. If the AI model is a nobody, then 1,000 testimonials from them mean absolutely nothing.” This perspective makes total sense for Brand Building. But in the trenches of Performance Ads (Cold Traffic), the reality is a lot more brutal: 1️⃣ The classic mistake is confusing Influencer Marketing with Performance UGC. People hitting "Buy Now" on Meta/TikTok ads don't care if they’ve seen the creator's face before. They buy because of relatability—the feeling that a regular person, just like them, is unboxing or sharing a genuine experience. In cold traffic, a completely anonymous nano-creator often converts way better than a million-follower KOL because it doesn't scream "sponsored ad." Arcads builds exactly for this "trustworthy stranger" vibe. 2️⃣ In Performance Ads, Volume Beats Trust. With Human UGC: You drop $1,000 on 5 videos from real creators. You’re betting your entire budget on just a few faces. If the hook flops or the angle misses -> You bleed cash. With AI UGC (Arcads + Seedance 2.0): For the same budget, you can generate 100+ variations (different hooks, accents, camera angles, and AI actors). Meta and TikTok algorithms are starved for data to test. When you feed them 100 assets, your odds of hitting a "Winner Clip" skyrocket. 3️⃣ Advertisers are voting with their wallets. Countless case studies in App and DTC (low-to-mid ticket) spaces show that while AI UGC might net a 10-20% lower ROAS compared to a top-tier human creator, the production cost is 20x cheaper. When you look at the macro CPA (Cost Per Acquisition), AI UGC scales with way better capital efficiency. SO, IS AI GOING TO SWALLOW THE ENTIRE INDUSTRY WHOLE? Absolutely NOT. The fatal flaw of Arcads is still "Deep Trust." For high-ticket products, fintech, healthcare, or long-term brand equity, a co-sign from a real human being with a pulse, a reputation, and a personal story remains completely irreplaceable. AI is simply cannibalizing the "Testing" and "Cold Traffic" phases which happens to be where advertisers burn the most cash. The Bottom Line: Arcads isn't killing UGC; it's just restructuring the rules of the game. If your UGC strategy is just "reading a script off a teleprompter" -> You’re getting replaced by AI. If you’re selling authenticity, deep niche expertise, and actual human trust -> You’re safe.
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Po La@Polabuild369

AI can now generate beautiful designs for almost any product or website — even if you have zero design talent. That part is no longer impressive. The real difference today comes from something else: Specificity. The people making money with AI aren’t the ones writing: “Make it look modern.” They’re the ones obsessing over details like: What exact emotion should users feel in 3 seconds? What number immediately reduces hesitation? What wording makes value feel obvious without explanation? Because great design isn’t decoration. It’s communication. And in a world where attention lasts seconds, clarity beats creativity. One of the biggest mistakes founders make is forcing users to “think.” The moment people need to calculate whether something is worth it, you’ve already lost part of the conversion. So instead of saying: → “$30/month subscription” Break it down. Show them: → “Less than $1/day” → “About the cost of a coffee” → “Cheaper than a snack, but compounds value every day” Now the brain stops comparing price. It starts comparing value. That psychological shift matters more than most people realize. The same product can feel: Expensive or Ridiculously cheap …depending on how clearly you frame the value. AI can generate visuals instantly. But knowing what details to emphasize that’s still human leverage. And the people who master that skill will dominate this era.

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Po La
Po La@Polabuild369·
@saylor No one will hold $BTC forever. There will come a time when people sell and panic will set in. But always remember: "Always make sure you end every period with positive BTC."
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Michael Saylor
Michael Saylor@saylor·
Strategy has acquired 24,869 BTC for ~$2.01 billion at ~$80,985 per bitcoin and has achieved BTC Yield of 12.6% YTD 2026. As of 5/17/2026, we hodl 843,738 $BTC acquired for ~$63.87 billion at ~$75,700 per bitcoin. $MSTR $STRC strategy.com/press/strategy…
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Po La
Po La@Polabuild369·
@kiyotaka_ai Right now, oil prices are moving in the opposite direction to gold, BTC, and the S&P 500. Having all these charts displayed together is really convenient for monitoring them at the same time. It also makes my algorithmic trading much easier.
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Kiyotaka
Kiyotaka@kiyotaka_ai·
We made monitoring Hyperliquid markets easy. Up to 16 markets in one view. Price and open interest side by side, streaming in real-time.
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Po La@Polabuild369·
Your biology is rigged to blow up your trading account. A groundbreaking study published by the National Academy of Sciences (PNAS) tracked Wall Street traders and found that during market volatility, Cortisol (the stress hormone) spikes by 68%. This biological surge literally deactivates your prefrontal cortex—the exact part of your brain responsible for risk management and rational logic. When losing: Cortisol forces your brain into survival mode, triggering emotional revenge trading and catastrophic bag-holding. When winning: A toxic surge of Testosterone blinds you to risk, causing dangerous over-leverage right before the market flips. The brutal truth? You aren't fighting the market; you are fighting a losing battle against your own chemical impulses. This is exactly why Wall Street tier-1 Quant funds removed human hands from execution. Algorithms don’t have a pulse. They don’t feel panic, greed, or stress. Full research article link in the comments.👇
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Po La@Polabuild369·
@alexcooldev Yeah, traffic doesn't matter Quality traffic is what really matters.
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Alex Nguyen
Alex Nguyen@alexcooldev·
I have a post that’s been going viral for 2 days, reaching 135k views and generating more than 40 trials + sales, but I’m not too happy because only 13% of the audience is from the US, so I think the trial-to-paid conversion rate won’t be that high. For me, 5 posts with 25k views each but with 95%+ US audience are better than this viral one 🥴
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Po La
Po La@Polabuild369·
My real-world take: At $2, $VVV was an absolute steal. At current prices, it looks expensive… until you actually run the numbers. Stake 100 $VVV today and you essentially lock in the equivalent of a Venice Pro annual plan (~$180/year). Here’s the interesting part: → Year 1: you can already recover your entire initial cost through Pro-level AI usage alone → Year 2 onward: every day you continue using Venice becomes “yield” in the form of free AI access And this changes the way you should think about VVV. Even in the worst-case scenario where VVV somehow goes to $0 after year 1, the utility itself has already paid back 100% of your capital. Everything after that is upside. That’s why I don’t view this as simple token speculation. This is infrastructure-level utility: pay once in $VVV → continuously receive AI access that compounds in value over time. Most people are still valuing AI tokens like memes. The market hasn’t fully priced in what happens when tokens become access layers for real AI infrastructure. NFA, DYOR
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Po La@Polabuild369

AI can now generate beautiful designs for almost any product or website — even if you have zero design talent. That part is no longer impressive. The real difference today comes from something else: Specificity. The people making money with AI aren’t the ones writing: “Make it look modern.” They’re the ones obsessing over details like: What exact emotion should users feel in 3 seconds? What number immediately reduces hesitation? What wording makes value feel obvious without explanation? Because great design isn’t decoration. It’s communication. And in a world where attention lasts seconds, clarity beats creativity. One of the biggest mistakes founders make is forcing users to “think.” The moment people need to calculate whether something is worth it, you’ve already lost part of the conversion. So instead of saying: → “$30/month subscription” Break it down. Show them: → “Less than $1/day” → “About the cost of a coffee” → “Cheaper than a snack, but compounds value every day” Now the brain stops comparing price. It starts comparing value. That psychological shift matters more than most people realize. The same product can feel: Expensive or Ridiculously cheap …depending on how clearly you frame the value. AI can generate visuals instantly. But knowing what details to emphasize that’s still human leverage. And the people who master that skill will dominate this era.

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Po La@Polabuild369·
If the market hasn’t given you that bullish feeling yet, let me do it for you. Don’t hesitate switch to "Bullish Mode" on the Quant Terminal. $ORAI
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Po La@Polabuild369

At $ORAI’s News Terminal, news is just the starting point. Information is everywhere now. Anyone can aggregate headlines. That’s not the problem. The real challenge is this: What do you do with the information—immediately? Because raw news doesn’t create an edge. Insights do. And even better: Actionable insights that let you move without leaving the platform. Here’s how it works: → AI reads and analyzes the news Not just summarizing headlines but extracting the key implications. → AI maps expert opinions into weighted signals From top-known analysts to niche specialists you’ve never heard of the kind of experts whose voices can quietly influence outcomes. You may know crypto. You may understand politics. But no one can be an expert in everything: - Economics - Sports - Regulation - Geopolitics - Emerging tech And no one has time to manually discover who matters in each category. Our system does that for you. It identifies who should matter, how much their opinion should weigh, and what it could mean for a specific market. Then it goes further: → AI suggests related prediction opportunities → You can execute directly → Track outcomes over time All in one place. No jumping between X, Telegram, Discord, news sites, and trading platforms. Read → Understand → Act → Track A single workflow. Because the future of trading isn’t just faster information. It’s compressed decision-making.

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