Jupiter priceJUP

$JUP sel

Some time ago, I wanted to understand how far automated trading tools have come, so I tested a few platforms and compared their output. Each one offered useful data and different perspectives, but GetAgent stood stronger thanks to its deeper breakdowns and clear direction. It was the only one that flagged a $JUP lp perps and $BTC short as a bad idea and pointed toward a long setup instead.

Watching $JUP right now it’s holding a major support, but the daily trend is still bearish. On the smaller timeframes, there’s some buying momentum, so a short-term bounce is possible… though it’ll need solid volume to really take off. This made me think about how AI can help with trades like this. I’ve been checking out a copy-trading AI on Bitget called “BlueChip_Alpha.” It only trades top market-cap coins, waits for setups with a high chance of success, and avoids over-trading. For anyone who wants exposure without stressing over timing every move bitget GetAgent Copy Trading, seems like a smart way to test AI-driven strategies safely.

1️⃣ AI Titans — $FET / $ALT / $AGIX Sector: Artificial Intelligence Why 100×: Fastest-growing tech sector globally ASI merges 3 major AI projects under 1 token Booming institutional demand & AI data markets Catalyst: Partnerships with Nvidia, enterprise AI, robotics ventures 2️⃣ $RENDER — GPU Rendering Powerhouse Sector: AI + Rendering + Cloud Compute Why 100×: Leading decentralized GPU rendering network High adoption from AI firms & creatives Real-world utility drives long-term demand Catalyst: Apple Vision Pro integration + Hollywood content studios 3️⃣ $TAO (Bittensor) — Decentralized AI Network Sector: AI / Machine Learning Why 100×: Open-source alternative to OpenAI AI miners train models for TAO rewards Strong on-chain activity & token demand Catalyst: Enterprise adoption + major exchange listings 4️⃣ INJ — Layer-1 Force Sector: Smart Contracts + DeFi Why 100×: Lightning-fast L1 chain Exploding developer ecosystem Known for vertical growth in DeFi Catalyst: Institutional DeFi adoption + derivatives liquidity 5️⃣ $PYTH — Decentralized Oracle Leader Sector: Oracles Why 100×: Competes with Chainlink Powers data feeds for Solana, Sui, Ethereum Huge mass adoption potential Catalyst: More exchanges + RWAs + DeFi integrations 6️⃣ $JUP — Solana’s Liquidity Engine Sector: DeFi / Solana Ecosystem Why 100×: Handles swaps, liquidity routing, market-making Solana is primed for the next bull cycle Catalyst: L3 upgrades + new product launches 7️⃣ $W — Wormhole Interoperability Sector: Cross-chain Why 100×: $800M FDV before full market listing Bridges Solana ↔ Ethereum ↔ Sui & more Catalyst: Expanding chains + institutional flows 8️⃣ $RWA Tokens — Tokenized Real-World Assets Sector: Real-World Assets Why 100×: Banks & BlackRock pushing tokenized treasuries Trillions moving on-chain in the next decade Catalyst: Major banks issuing assets on public chains 9️⃣ $GALA — Gaming & Metaverse Dominator Sector: Gaming Why 100×: Gaming tokens have massive retail love Gala upgrading chain & ecosystem Catalyst: New games + strategic partnerships 🔟 Low-Mcap Gems — Early-Stage 100× Potential Examples: $AIKO, $VRA, $NCTR, $SIPHER, $MUBI Why 100×: Tiny supply + strong utility + early adoption 🚀 Risk-Based Portfolio Allocation 🟩 Low-Risk (40%) — Solid L1s & AI giants RNDR 10%, INJ 10%, PYTH 8%, ASI 6%, TAO 6% 🟨 Medium-Risk (35%) — Ecosystem & scaling plays JUP 8%, W 8%, ONDO 6%, TOKEN 5%, GALA 4%, VRA 4% 🟥 High-Risk (25%) — Early-stage small caps MUBI 5%, SIPHER 5%, AIKO 5%, NCTR 5%, low-cap gaming/AI 5% ⚡ Strategy 🔸 Accumulate pre-Fed rate cut 🔸 DCA over 4–8 weeks 🔸 Focus heavily on AI + Solana ecosystem 🔸 Keep 10–20% dry powder for dips 🔸 Don’t chase pumps — buy retests 📌 If you find this information helpful, consider supporting me.Follow me and like,share,quotes this post.. Your generosity helps me provide quality content. 🙏