Preço de Mind NetworkFHE

Privasea AI (PRAI) is a next-generation blockchain protocol enabling privacy-preserving artificial intelligence through advanced cryptographic techniques. By using Fully Homomorphic Encryption (FHE), the platform enables encrypted AI computations without exposing sensitive data. This unlocks real-world applications across healthcare, biometrics, and finance. With PRAI recently listed on Bitget, both spot and futures traders are now engaging with this emerging asset. This article explores PRAI’s fundamentals, technical setup, and trading strategies suitable for beginners and experienced traders alike. Market Sentiment Overview PRAI's listing drew considerable attention due to its positioning at the intersection of two of crypto’s hottest narratives: privacy and AI. The token experienced an initial surge to approximately 0.1200 USDT before retracing to a key support zone around 0.0675 USDT, a drawdown of about 45 percent. Despite the pullback, trading volume remains healthy and shows consistent interest across all timeframes. Fundamental Analysis Use Cases and Vision Privasea enables encrypted AI execution on decentralized infrastructure. This allows secure data processing without the need for raw data exposure. Notable applications include: * Biometric authentication for digital identity * Private medical data analytics * Encrypted enterprise AI modeling The integration of these use cases positions PRAI for potential real-world adoption, especially in industries with high regulatory sensitivity. Token Utility and Supply Total supply: 1,000,000,000 PRAI Core utilities include: * Payment for AI compute services * Rewards for node operators providing encrypted compute * Staking to secure the network and earn yield * Governance voting on protocol decisions The controlled emission schedule and multifaceted utility support long-term token value and user engagement. Technical Analysis: PRAI/USDT Key Levels * Resistance: 0.0750 to 0.0780 * Support: 0.0670 to 0.0700 * Major psychological resistance: 0.1000 * All-time high: approximately 0.1200 4-Hour Chart (Short-Term View) * Structure: Clear downtrend after peak, forming a descending wedge pattern * Momentum: RSI approaching oversold territory; MACD shows momentum flattening * Volume: Declining on recent drops, indicating seller exhaustion Short-term view suggests a possible bounce if 0.0670 continues to hold. A breakout above 0.0750 could trigger a move toward 0.0850. 1-Day Chart (Mid-to-Long-Term View) * Trend: Currently in correction following a parabolic move * Indicators: RSI neutral, MACD bearish but stabilizing * Price Action: Forming a base with lower volatility near support Daily structure implies a consolidation phase. Sustained closes above 0.0800 could confirm a bullish reversal targeting the 0.1000 area. Trading Strategies Short-Term Strategy – Based on 4H Timeframe Strategy: Range trading near support with strict stop-loss Entry zone: 0.0675 to 0.0700 Target 1: 0.0750 Target 2: 0.0780 Stop-loss: Below 0.0660 Confirmation: Look for bullish divergence, breakout candles, or wedge breakout with increasing volume. Leverage: Use low leverage (3x to 5x) to minimize risk in a volatile setup. Long-Term Strategy – Based on Daily Timeframe Strategy: Position trading and accumulation during correction Accumulation zone: 0.0670 to 0.0720 Target 1: 0.0950 Target 2: 0.1150 Stop-loss: Close below 0.0640 on a daily candle This strategy suits investors with a longer time horizon, focusing on real adoption and network growth. Risk Management * PRAI is highly volatile, especially post-listing. Use small position sizes. * Always apply stop-loss orders when trading futures. * Avoid emotional trading or chasing green candles. * Monitor broader market trends and token-specific news. Conclusion PRAI/USDT presents unique opportunities backed by a solid privacy-first AI vision. As the token continues its early price discovery, traders can benefit from short-term volatility while long-term investors assess the project's roadmap and adoption metrics. With careful execution, disciplined risk management, and awareness of technical levels, PRAI on Bitget is a pair worth watching in the evolving AI crypto sector.

Privasea ( $PRAI ) is an innovative project building a decentralized privacy computing infrastructure, powered by Fully Homomorphic Encryption (FHE). Its mission is to deliver efficient, user-friendly FHE solutions tailored for both Web2 and Web3 environments, with a strong focus on machine learning (ML) applications. Privasea (PRAI) stands out as an impressive and forward-thinking project, combining cutting-edge technologies like Fully Homomorphic Encryption, AI, and blockchain to deliver secure, privacy-focused solutions. Its rapid growth and strong emphasis on decentralized, verifiable AI applications across vital industries such as healthcare and finance highlight both its innovation and real-world potential. PRAI/USDT 0.08670 +1,634.00% Privasea AI Ranking: NO.927 Market cap: $17.92M Fully diluted market cap: $86.98M 24h volume/market cap: 132.38% All-time high: $0.1058 (2025-05-14) All-time low: $0.08019 (2025-05-14) Circulating supply: 206.03M Max supply: 1B Total supply: 1B Circulation rate: 20.60%

$PRAI (MYX Finance) is now live on #Bitget Spot! 🎉 Trade & join the CandyBomb event to earn exclusive $PRAI airdrops! 🗓️ Promotion: 14–21 May 2025 🛡️ Powered by Privasea & Fully Homomorphic Encryption (FHE) 🔗 Details: https://www.bitget.com/support/articles/12560603827390 #Crypto #Airdrop #Web3 #Bitget #PRAI

Analysis: DeCC has raised over $1 billion in funding to solve the key encryption requirements of data in blockchain systems Messari released a research report, which pointed out that the field of decentralized confidential computing (DeCC) is exploding, and projects in this field have received more than $1 billion in venture capital. This capital inflow reflects the industry's growing interest in DeCC technology, and the team is focusing on practical application integration and infrastructure construction for developers. DeCC introduces the ability to protect data privacy while maintaining the inherent transparency of public blockchains, thereby enabling private computing and status without sacrificing decentralization. This technology combines encryption tools such as zero-knowledge proofs (ZKPs), multi-party computations (MPC), garbled circuits (GC), fully homomorphic encryption (FHE), and trusted execution environments (TEEs) with authentication to address key vulnerabilities faced by data in traditional and blockchain systems when in use, and enables encrypted computing without exposing plaintext. With the influx of funds, DeCC is moving from theory to actual deployment, and is expected to become a standard layer of the decentralized technology stack, supporting secure and trustless applications that were previously impossible on public infrastructure.

Aggregated Structure of 3 $FHE orderbooks just changed. There is now 71.11% more bids than asks within a 10% depth. Bids sum: $122,553.99 - Asks sum: $71,621.00 ️⚖️ 🟢️