Swarmsの‌価格SWARMS

. @TheoriqAI isn’t just another DeFi project. They’re literally building swarms of AI agents that act like trader teams: → one hunts yield → one checks risk → one executes trades → all self-organize + record everything on-chain. Now pair that vision with the facts: • $THQ raised $79M (oversubscribed by 2600%) • Fresh partnership with @moonsonglabs_ to strengthen AlphaVault infra • TGE possibly this month with CEX listings expected This feels less like a token launch and more like the start of AI-driven DeFi.

1) Overview $PUBLIC is the native token of PublicAI, a Web3 platform for collecting and annotating multi-modal AI data (text, audio, video, maps) via a decentralized contributor network. The token underpins rewards, staking, and access within the ecosystem. Supply & listing snapshot (today, Aug 19, 2025): Circulating supply ≈ 200M PUBLIC, max supply 1B; live price around $0.057–$0.057 with multi-million daily volume; listed on exchanges such as Bitget, KuCoin, Ourbit (top pair PUBLIC/USDT). Staking: Protocol supports staking for rewards and perks (platform pages and comms reference staking windows/boosts). 2) Price predictions (scenarios, not financial advice) Baseline drivers: exchange liquidity (PUBLIC/USDT depth), contributor growth, dataset demand, and staking/lock incentives. Near term (1–3 months): After setting an ATH ~$0.0869 on Aug 14–15, 2025, pullbacks toward prior support are common; watch liquidity and campaign incentives (airdrops/staking) for momentum. 6–12 months (range scenarios): Bull case: sustained dataset demand + exchange expansion → revisit/extend ATH band $0.08–$0.10+. Base case: oscillation within a liquidity band $0.04–$0.08, tracking broader AI-token risk appetite. Bear case: incentive fade or growth stalls → compression toward $0.02–$0.04. These are scenario ranges, not guarantees; stablecoin (USDT) legs of the pair anchor USD moves while PUBLIC’s fundamentals drive relative performance. 3) Investment insights Thesis: PUBLIC is a picks-and-shovels AI-data play—value accrues if the network reliably sources high-quality labeled data that buyers actually want. What to monitor: Network growth: active contributors, labeled items, and buyer integrations (signals of real demand beyond incentives). Token flows: staking participation, unlock schedules, and exchange liquidity on PUBLIC/USDT. Ecosystem catalysts: listings, airdrops, and enterprise data partnerships (e.g., MEXC campaigns). Risks: execution (quality/verification of labels), incentive dependency, competition from other AI-data networks, and general crypto market beta. (Benchmark price/volume and ATH data: CMC/CryptoRank.) 4) Use cases Contributor rewards: Upload, annotate, and validate data to earn PUBLIC. Staking & governance/perks: Lock PUBLIC for yield and protocol privileges. Access/payment rail: Token as a unit of account for acquiring curated datasets or tooling on the platform. Exchange utility: PUBLIC/USDT markets provide on/off-ramps and liquidity for participants. 5) Market analysis Sector tailwinds: AI-adjacent tokens benefit from ongoing demand for data to train models; decentralized pipelines can lower data costs and broaden supply. PublicAI positions itself as a multi-modal data marketplace—a differentiated niche within AI-crypto. Positioning vs. peers: Competes with other data-network and AI-infrastructure tokens (data marketplaces, labeling swarms). PUBLIC’s edge will be verified data quality + paying buyers; its challenge is scaling beyond incentives. (Tokenomics and community allocation details highlighted by exchange research.) Liquidity & venues: Healthy activity on major CEX pairs improves price discovery and reduces slippage; keep an eye on PUBLIC/USDT depth and additional listings.

Stack conviction bets with size and you will become rich this year Chasing the 100x gives the adrenaline, but real money is made where you drop the big bucks and wait patiently. 👇 For this, you need analysis and confidence in your picks so that you sleep on the comfortably and understand their potential. I present to you my picks with short description below: 🔸 $AVM | @avm_codes AI Agent ecosystem infrastructure - supercomputer for AI Agents. Core product being released in less than 1 month. Doxxed team with good backing and much to deliver. 🔸 $NKP | @nonkyotoproto Carbon credits, massively growing market. Team connected to Web2 companies and institutions with predicted revenue of $10M which 30% will go to buybacks directly. 10x-50x potential with size. 🔸 $TAOBOT | @taodotbot Direct TAO leveraged bet, infrastructure for $TAO ecosystem. Suppporting dTAO & subnet trading. Strong holder distribution. 🔸 $SERV | @openservai AI bluechip with a big brain team. Agentic aAPPS and infrastructure for agents to communicate (AI Agent swarms). Not much better projects around in this category. 0 tax. 🔸 $VERTAI | @Build_Vertical AI model marketplace, model finetuning, multichain with doxxed team who have been nothing but delivering months since launch. Consolidation and ready to rip back to ATHs with 0 tax. Buy and hold season. Which gems am I missing? 👇

$SWARMS

$SWARMS ⚠ Short Position Plan (Intraday to short-term) 1. Entry Zone: Ideal: 0.03400–0.03500 (near resistance) if price fails to break higher. Wait for signs of rejection (long upper wick or red candle starting to form). 2. Stop Loss: 0.03620 (above recent resistance to avoid fakeouts). 3. Targets: TP1: 0.03150 (support from earlier price action). TP2: 0.02950 (previous consolidation area). TP3: 0.02750 (if strong selling momentum comes in). 4. Risk Management: Risk max 1–2% of your capital on this trade. Use smaller leverage because of high volatility (max 3–5x