So how many people are actually doing the math on how much you can get from this Aster airdrop Cause I'm sure my math has to be wrong lol

GM. Have a good day everyone Things i did today that may worth later I spent all night to run trade on @Aster_DEX Got around half million points but probably stop here since my math seem the airdrop was not worth it with this kind of volume anymore Back to lighter Try my luck again on @phygitals Pulling a grail charizard card with the $25 pack, lucky day of me, i still try to accumulate as many point as possible for the airdrop Open pokemon card become my daily routine Tbh with the $HYPE PA last few days best thing you can do was LP on @prjx_hl Volume going brr brr Becareful for the IL I also swapped few times on @defidotapp They gave $1k for everyone who make a swap on their platform today and will be unlock by the XP you earned by limited time Feel just like $HOME

Ending my @Aster_DEX farming journey here with nearly half a million points. The platform’s daily volume has already reached $30B and with about 11 days left in the campaign, this FOMO could push the total volume to $500B. The airdrop is worth around $400M so the math works out like this: > $400M/$500B = 0.0008 ELI5: With $1,000 in trading volume, you’d get about $0.8 assuming $ASTER stays at its current price. Aster also charges fees per position with $1,000 in volume, you’ll pay about $0.45 in fees, meaning you’d only earn around $0.45 for every $1,000 traded In short, it’s not worth the time or risk for perps trading. Back to lighter.

Zama & the Future of Privacy in Crypto Most people know blockchains are transparent. Every transaction, every balance, it’s all out there. That’s powerful for trust, but terrible for privacy. So here’s the big question: How do we keep things private on-chain, without breaking composability and security? That’s where Fully Homomorphic Encryption (FHE) comes in, and @zama_fhe is leading the charge. What is FHE (for non-techies)? Imagine you write a secret number on paper, lock it in a box, and hand it to someone. Normally, they’d need to unlock it to do math with it. But with FHE, they can add, subtract, or multiply that number, without ever opening the box. That means blockchains can process transactions, smart contracts, and financial logic without ever exposing your private data. Crazy, right? The Problem: Bootstrapping The magic behind FHE is a process called bootstrapping. It’s what keeps encrypted data “fresh” and usable as you keep doing operations. But there’s a catch, bootstrapping used to be painfully slow. Back in the early days, one operation could take minutes to complete. That’s not usable for DeFi, payments, or AI. Zama’s Breakthrough Zama’s team has been pushing bootstrapping to its limits: First version: 53 ms per operation (already a big step forward). Today: thanks to GPU acceleration, Zama crossed the 1 millisecond frontier. In plain English? That’s fast enough to start making encrypted computations feel as smooth as normal blockchain transactions. Why This Matters Here’s why Zama’s progress isn’t just research hype: DeFi Privacy → Trade, lend, and yield farm without exposing balances. Payments → Confidential salaries, remittances, stablecoin transfers. RWAs → Banks & institutions can tokenize assets without leaking identities. AI on Encrypted Data → Train and query models without ever revealing the data. This isn’t about theory, this is building the missing layer of confidentiality for Web3. 🌍 The Bigger Picture Zama has grown into the largest research team in FHE, raised over $150M, and is backed by founders of Ethereum, Solana, Polygon, and more. They’re not just building for crypto, they’re building for the future of trustless, private computation. And with bootstrapping now in the microsecond era, we’re closer than ever to a world where: 🔒 Data stays private. ⚡ Transactions stay fast. 🌐 Blockchains stay composable. 👉 The next frontier of Web3 isn’t just speed or scalability. It’s privacy you can compute on. And Zama is showing us how to get there.

Shiba Inu price hits crucial support as whales quietly accumulate‼️ $SHIB has dropped to a crucial support level, but on-chain data shows whales and smart money are buying heavily, hinting at a potential rebound. Whales and insiders buying SHIB As the largest meme coin $ETH, SHIB has faced steep declines since last year’s peak. Yet whales have boosted holdings by 85% over the past 30 days, now surpassing 100 billion coins. More than 62 billion SHIB were accumulated since September 13, shortly after the Shibarium hack. Insider wallets also increased their exposure, rising to 12.4 billion from 10 billion in August. Historically, such buying precedes market recoveries as large investors anticipate higher prices. At the same time, SHIB exchange balances continue to shrink. Tokens on centralized platforms fell to 283 trillion from 297 trillion three months ago, showing investors are moving holdings off exchanges — a bullish sign. ETF optimism boosts sentiment Another catalyst is growing hope for a spot SHIB ETF. Community members expect at least one fund manager to apply, and recent SEC guidelines suggest approval could be faster since SHIB futures already trade on Coinbase. Technical: From a chart perspective, SHIB sits at a vital support zone. The price is testing the lower boundary of a symmetrical triangle pattern, with trendlines nearing convergence. This often signals a breakout ahead. The level also aligns with a key support/resistance zone on the Murrey Math Lines indicator. Assets frequently rebound after touching this area, making it an important price floor. If SHIB bounces, it could rally toward $0.00001490, roughly 25% above current levels. However, a clean break below support would invalidate the bullish outlook and open the door to further losses. Whale accumulation, insider buying, falling exchange supply, and potential ETF approval give SHIB a constructive setup. With price action now sitting on a decisive support, the coming sessions could determine whether Shiba Inu rebounds strongly or slips deeper into bearish territory $SHIB

My Expected Value Monte Carlo indicator just got selected by TradingView's editorial team! Why I built this: There was literally NO Expected Value indicator on TradingView. As traders, we need to QUANTIFY our edge, not just guess. What it does: - Historical backtest (what actually happened) - Monte Carlo simulation (what COULD happen) - Real Expected Value in $ and % - Win rates & Sharpe ratios - Zero repainting 🎯 The math behind it: • Historical EV = Average of thousands of past trades • Monte Carlo = Geometric Brownian Motion projecting probable futures • Asset-aware calculations (252 days stocks, 365 crypto) Finally answers: "Is my average trade profitable?" "How often will I be right?" "Am I compensated for the risk?" 💡 The projection cone shows where price is MOST LIKELY to go if recent trends continue. Game-changer for risk management.

I asked the @SentientAGI model how much each top yapper would get from the SENT allocation if there is 1b supply and 0.5% is given to 500 yappers At 2b FDV It told me: 10,000 SENT per person, based on a 0.5% share of the 1B total supply (5M SENT) divided among 500 yappers. At an implied FDV of $2B ($2 per SENT), that amounts to about $20,000 per yapper. The model even ran a check to confirm the math. It showed that $10M total pool divided by 500 equals $20K each. It’s interesting to see this level of clarity and modeling from an on-chain AI. You know the drill 5 figs is easy

$HYDX = ve(3,3) liquidity infra on Base. Circ mcap: $2M. US team, Wyoming DUNA setup Partners: Frax, Flaunch, Clanker Aero circ mcap $1B. Not even on DS yet. If you think Base grows, infra grows. @HydrexFi just has to exist. Math too smooth to ignore.

$HYDX = ve(3,3) liquidity infra on Base. Circ supply: $2M. Not even on DS yet. Aero is $1B. If Base grows, infra grows. @HydrexFi just has to exist. Math too smooth to ignore.

We’re in a market with several top-tier TGEs every week. Each comes with $100M+ FDV, deep liquidity, and ambitious teams eager to seize the bull market momentum. But (!) TGE now might sabotage your long-term potential. Let me explain ↓ 1️⃣ Volume wars Launches come in clusters. Attention rotates fast. Day 1: hundreds of millions in volume. Day 7: that same token may see 50× less activity. Momentum fades faster than ever. 2️⃣ Buyer quality wars In a bear market, new holders are scarce but loyal. In a bull, inflows are speculative. Most of those “buyers” are future panic sellers. Strong demand ≠ sticky holders. 3️⃣ Attention wars As everyone competes for attention, the ads field is getting more compatitive and it's becoming more challenging to stand out. • CT attention: Saturated with launch announcements • Influencer bandwidth: Diluted across multiple projects • Retail investor focus: Confused by too many options • Institutional research capacity: Overwhelmed by deal flow Just do capital math: • Estimated speculative capital: $50B • Weekly new token supply: $400M (4 launches × $100M FDV) • Monthly absorption: $1.6B • Quarterly dilution: ~10% of all speculative capital Every launch is competing for the same liquidity pool. The result: • Diminishing returns on marketing spend • More volatility, less loyalty • Higher failure rates, even in bullish conditions So the real question isn’t “Can you TGE?” It’s: “Should you TGE right now?”

Anyone do the math? Is it worth it? Let's say we are considering someone like @cobie: will the contribution + no taxes + 270 days in the US be enough to cover the opportunity cost?

If you remember when I said @dexrp_io was the XRPL play to watch This is what I meant👇🏽 DeXRP isn’t even live yet and the traction is already hard to ignore. Key numbers locked in: • ICO price sits near $0.16 while the fixed listing is $0.35 (~3x spread) • $6.5M+ raised across nearly full rounds • 9,500+ early investors already onboard • $700M FDV launch planned for Q4 2025 • First institutional-grade DEX infrastructure on XRPL • Staking and liquidity pools ready to go at TGE • Partnerships signed with Cwallet, Micro3, WOW Summit, with more lining up Why it matters: XRP is pushing toward a $3.65 ATH and institutional interest is rising. XRPL needs a serious DEX and DeXRP is first to ship it. The math is clean. The roadmap is public. Q4 brings TGE, live DEX launch, and the start of XRPL DeFi. Secure your spot while the spread is wide:

$AVNT should be around 10$ somewhere as compared with $ASTER , if $ASTER hit 4$ it should be around 25/30$ Do the math you are still early in $AVNT

Fading $MOMO before the FOMO comes will be your biggest crypto regret. Math is easy.

Eat the $MOMO dip. All I know is $MOMO should be sitting above troll, useless and fartcoin. You ladies can thank me later. Easy math.

I use a leading indicator that notifies you when a major top will be coming 3-5 months in advance... No such signal so far.. You do the math...

The math doesn’t even remotely make sense.

Unfollow the KOL mfers that doesn’t shill $MOMO to you. Either they aren’t good at math or they only support cabal micro cap pump and dump shits but doesn’t believe in Community. Math is easy. Loudest community will always eat the strongest.

What @gaib_ai actually does (and why it's genius) ↓ Basically: GAIB takes GPU compute capacity and turns it into liquid, yield-bearing DeFi assets. Here's the magic: • AI infrastructure projects need capital to buy/lease GPUs • DeFi users want yield on their stablecoins • GAIB bridges both by creating AIDa tokens backed by GPU assets • Users get yield + exposure to AI infrastructure growth • AI projects get funding without traditional VC gatekeepers AIDa Token Mechanics ↓ • 1:1 deposit ratio: Deposit $1000 USDC → Get 1000 AIDa • GPU-backed value: AIDa represents claims on AI infrastructure assets • Liquid but locked: Your deposit is locked, but AIDa trades freely • Yield generation: Base yield from GPU utilization + DeFi strategies This is very different from the models that are now being built. Most AI projects are either: • Pure speculation (memecoins with AI branding) • Infrastructure without monetization (building for future revenue) • Centralized solutions (traditional VC-funded startups) GAIB creates immediate yield from real AI infrastructure demand while maintaining DeFi composability. Now let's discuss numbers. Round 1's $60M TVL cap was reached in under 7 days. Round 2 is now live, and here's some math for it ↓ • Deposit: $10K USDC → 10K AIDa • Pendle Strategy: 15% base yield + 30x points multiplier • Expected Returns: 15% APY + GAIB airdrop allo • Risk-Adjusted: Exposure to AI infrastructure growth + DeFi yield Btw, campaign ends October 2025 (limited time window) *** If you're still not convinced: TAM Analysis ↓ • AI Infrastructure Market: $50B+ and growing 40% annually • GPU Compute Demand: Massive shortage driving premium pricing • DeFi Yield Market: $100B+ TVL seeking sustainable returns • Intersection Opportunity: Largely untapped, could be $10B+ market Iykyk, anon ;)

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🚨BREAKING: RIPPLE CTO SAYS THE FUTURE IS MOVING BEYOND BANKS 🚨 The #XRPL# is no longer just about payments — it’s now powering Decentralized Media, a $2.9 TRILLION industry moving on-chain. 🔥 Authors are already publishing and getting paid directly in BXE Token. 🔥 Every single approved article = more BXE burned, reducing supply. At just $0.02, BXE Token could easily be looking at $19–$24 ahead. The math is insane. 📈 👉 Explore BanxChange: 👉 Buy BXE Token now: BXE Token is quickly becoming the top asset on the #XRPL#. 🌊 It’s not financial advise

#MATH#naik 1000x

finally decided to pledge $5k for HANA sale and tbh I'm regretting not having pledged more I won't explain why yet but I'll share the results of my bet, whether I'm right or wrong so you can learn from my experience also, unless hana changes their campaign rules, yappers will probably cook from this one do some math and you'll see what I mean just like @peaq creators will do next week. With $peaq at $0.12, some people are gonna make 5 figs from this stimmie have you joined hana presale btw?

An economist just flagged that faster Fed rate cuts could light a fire under $BTC and alts. If the Fed really delivers 2+ cuts this year, liquidity jumps → risk assets rip. Simple math: cheaper money, stronger bids

#XTTA#Halving isn’t hype, it’s math. Fewer tokens entering circulation while demand rises… the market has no choice but to reprice XTTA higher.🤠😝😝

GM Multipliers 🌞 @multiplifi is built on repeatable math Algorithms scan markets, pick high-yield setups, and automate execution. Every vault is tuned for max efficiency and controlled risk. This is data-driven farming. No guessing, no speculation. Just consistent, predictable yield that compounds without you lifting a finger. By fusing algorithmic precision with DeFi market insight, @multiplifi turns yield farming into a real working system.

🚨 ITS OFFICIAL 🚨 $#CR7 is launching in a few days on the Sol chain – the presale could close ANY second 🔗 Token Sale: Telegram: 🔥 50% BONUS ONLY TODAY 💡 Sources confirm a 0.80$ launch price - do the math yourself on how many X that is $TRUMP. DYOR/NFA.

If your opinions are not backed by math, I don't even want to hear them.

💭 $XRP at $50? Sounds Unreal… Until You See the Math Most people laugh when they hear predictions like $50 or even $100 for XRP. It feels impossible — but let’s run the numbers. By 2035, if $XRP makes its way into every major U.S. ETF basket, the inflows alone could drive its market cap into the $3–6 trillion range. Do the math, and that puts XRP somewhere between $50 and $100 per coin. 🚀 This isn’t fantasy it’s basic supply and demand. ETFs unlock massive liquidity, and when institutions pile in, the price action will be beyond what retail traders can even picture today. That’s why I’m not just bullish on $XRP I’m long-term bullish. This is the kind of asset I’m holding for the next generation, not just for a quick trade. 📊 XRPUSDT Perp Price: 3.1051 (+2.97%) The future is being written now… Will you be ready when XRP shocks the world? 🐼#BTC Reserve Market Impact##XRP ETF Goes Live##Fed Cuts Rates By 25 Bps#

gm to absolutely everyone except those fading cz $HYPE is 19B $ASTER is under 1B math is not that hard

Fully Homomorphic Encryption sounds complex but the idea is simple : smart contracts can compute directly on encrypted data. For devs, it means Solidity code runs with encrypted variables. For everyone else, imagine a calculator inside a locked safe it does the math, but never shows what’s inside. That’s what @zama_fhe is bringing on chain #zamacreatorprogram

The whisper of Bitcoin joining the U.S. national reserve—backed by a fresh bipartisan push and a $115 billion proposal under the BITCOIN Act—feels like one of those market pivots that could rewrite the script. Proponents see it as a digital gold standard: BTC's fixed 21 million supply mirroring scarcity, a hedge against endless fiat printing—especially poignant after hitting an all-time high of $124,290.93 just last month on August 14. Detractors? Fair point on the swings—volatility that makes even the most stoic HODLer blink. But let's peel back the chart BTC/USDT 1-day timeframe to ground this in what's real, not hype. Zooming to the past 30 days (August 18 to today, September 17), Bitcoin's ranged from a low of $104,800 (early August consolidation) to a high of $117,303, closing today at $116,843—a solid 11.25% net gain over the period, with an average close around $110,500. It's classic post-ATH digestion: a 0.99% dip month-to-date so far, but the last week? Up 4.8% ($5,600 swing), powering through a 24-hour pullback of 0.13% from yesterday's close. Volume's robust at an average 1.2 billion USDT daily—peaking near $1.47B mid-month on FOMO spikes—with today's 24-hour tally at $1.197 billion, no signs of thinning interest. Key levels? Support holds at $115,000 (triple-tested bounce last week), while resistance caps at $117,000-$117,300, that fresh ceiling from today's intraday push. My take: This reserve talk isn't vaporware; a September roundtable with crypto execs and lawmakers lit the fuse, echoing corporate treasuries like MicroStrategy's playbook but at sovereign scale (1 million BTC targeted). If greenlit, it could absolutely spark the next leg up—think institutional FOMO on steroids, inflows dwarfing ETF launches. We've seen it before: BlackRock's filings alone juiced 20% rallies. Short-term, I'd eye $120,000 by October if we crack $117,300 cleanly, riding that weekly momentum. Long-term? $200k by mid-2026 isn't wild if reserves materialize—scarcity meets state adoption, squeezing supply as 28% of BTC goes illiquid per Fidelity's math. Timeline-wise, implementation feels like 2026 at earliest: hearings through Q4, votes in a post-election haze. Approval? It'd domino—El Salvador's already in, Germany's eyeing exits from their stacks; expect BRICS chatter to amp up as a counterpunch. But volatility's the tax: a reserve buys the dip at $104k lows, not peaks—today's chart reminds us we're still 6% off that August ATH. #BTC Reserve Market Impact# #Gate Square Mid Autumn Creator Incentive#

Prediction Market Liquidity Algorithms TLDR: - Prediction market liquidity started with simple math formulas like LMSR and constant-product AMMs. - These worked for bootstrapping but exposed operators to big risks. - Now platforms are shifting to adaptive algorithms and order books that let mm's adjust spreads, balance inventory, and recycle fees. - The next wave will be cross-market netting, parlays, and reinforcement-learning bots. 1. The Problem Every financial market has wrestled with the same question: Who takes the other side of a trade? > In equities, specialists and market makers. > In futures, floor traders and clearing members. > In options, liquidity-provision algorithms tied to volatility surfaces. > In prediction markets, the tools are newer, the risks stranger, and the algorithms are still evolving. - Each contract needs continuous two-sided quotes. Without liquidity, the market stalls. Too much noise, and spreads widen to useless levels. - Unlike equities or FX, prediction contracts do not map cleanly to a cash flow or hedge. The market maker is not offloading risk into some deeper pool, it is the pool. 2. The First Generation: Constant Product and LMSR - LMSR: Robin Hanson’s cost-function model priced trades directly. A single parameter “b” set liquidity: higher b meant smoother prices, lower b meant sharper moves. - AMMs: DeFi later used Uniswap-style constant-product pools (x·y = k) so traders could always buy outcome tokens against reserves. Both schemes solved bootstrapping but had weaknesses: - LMSR exposes the operator to unbounded loss. - Constant product bleeds capital if outcomes are skewed or liquidity is shallow. 3. The Second Generation: Adaptive Market Makers To scale, platforms began experimenting with adaptive algorithms: - Dynamic spread adjustment: widen or tighten quotes based on order flow. - Inventory-sensitive curves: shift odds if too much open interest piles on one side. - Fee recycling: route trading fees back into liquidity pools, extending runway. 4. Lessons from History - In options, Black-Scholes gave a pricing framework; volatility surfaces emerged; market makers hedged dynamically. - In ETFs, authorized participants arbitraged NAV vs. market, keeping spreads tight. - In FX, algorithmic market makers optimized tick-by-tick inventories. Prediction markets are retracing these steps, but without the luxury of deep hedging instruments. Their only hedge is time diversification (many markets) and fee income. 5. Where It’s Going The frontier is liquidity provisioning algorithms that self-hedge: - Cross-market netting: offsetting exposure across correlated events (for example, multiple election states). - Parlay engines: combining contracts into baskets, reducing variance. - Reinforcement-learning LPs: bots that adjust the “b” parameter, spreads, and inventory dynamically based on realized volatility of event odds.

You can ban #Bitcoin# on paper. But you can’t ban math.

$DOGE MC - 40 billion $PUMP MC - 2.85 billion $PEPE MC - 4.5 billion $SHIB MC - 7.7 billion $TRUMP MC - 1.7 billion $BONK MC - 1.86 billion $MOMO MC - 6 million $PENGU MC - 2 billion $MOMO is 300x away from flipping the 2nd lowest. Easy math. Easiest 1000x.

Tokenomics 🔴 flags ↓ • "We'll figure out utility post-launch" = instant rug signal • "Community will decide" = founders have no conviction • "Deflationary through burns" = unsustainable math • "Governance token" with no actual governance = securities violation waiting to happen Discuss.

$BTC and the 4-year cycle Looking at the past three halvings, the cycle structure is clear: 🟢 Bull phase (halving to cycle top) →median 75 weeks 🟢 Bear phase (top to bottom) → median 53 weeks 🟢 Accumulation (bottom to next halving) → median 74 weeks On that math, the current cycle's median top would land around September 29. The mean says the peak may already be behind us. History isn't destiny, and macro shifts matter more now than in earlier cycles. Still, the question remains: is Bitcoin repeating the 4-year rhythm, or are we finally breaking it? $BTC {future}(BTCUSDT)