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Alchemy CEO: Crypto Was Designed For AI Agents, Not People

Nikil Viswanathan, CEO of Alchemy, claims that today’s financial system was designed for people, while the future economy will be operated by AI agents within the crypto environment.

Why The Traditional Finance System Is Ineffective For AI Agents
^ Human factors: Bank transactions take place during bank working hours due to people sleeping, living in a certain country, and physically visiting the bank.
^ AI agents’ factors: AI agents do not sleep, do not have a physical location, and do not use any kind of cards. They are always on, everywhere, and always online.
^ Discrepancy: Transactions done in another country imply fees and extra steps, which AI agents cannot afford to pay and do.

Crypto as an Infrastructure for Native Agents
^ Right fit: Crypto is boundless, uninterrupted, and entirely digital. According to Viswanathan, “crypto is the global infrastructure for money that agents need.”
^ Complexity inversion: Seed phrases, private keys, coding – obstacles for humans, strengths for machines. As Viswanathan put it, “agents read in zeros and ones. That is the language of the machine, and that is the language of crypto.”
^ Email metaphor: Similar to how email supersedes the postal service, crypto is meant for computer use.

Finance Run by AI Agents
^ Mechanism explained: Agents work on top of the crypto rails, taking care of the wallet management and transaction execution to optimize the capital flow in real-time. Human users access via user interfaces.
^ Coding opportunity: “It is possible to code for crypto wallet. It is impossible to code for bank account in the similar way.”
^ Multilayer structure: The traditional finance system on top of which lies the crypto-based one along with the agent layer that works on both. “Agents will run finance; we will use finance.”

#Aİ #AIAgents #Web3 #DigitalFinance #Automation

Bittensor Price Outlook

Current Price: $325.1, down 3.04% on the day.
Bearish Signal: Double rejection at descending trendline, MACD bearish crossover.

Key Levels
Support: $297.5, $263.7 (daily Supertrend).
Resistance: $371 (invalidation level).Target: $297.5 hold could lead to $355 re-test; break below targets $263.7.

Market Context
Institutional Interest: Grayscale's AI fund holds 43.06% TAO weighting.
Derivatives: Open interest decline suggests long-side deleveraging

#BearishSignal #CryptoTrading #TAOPriceOutlook

$TAO

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XRP Price Update

XRP's price is currently at $1.33 with a 0.34% change in the last 24 hours. The cryptocurrency has been in a tight range of $1.32 to $1.43 in the last 48 hours. The record-low volatility has resulted in equilibrium between bulls and bears.

Key Factors Influencing XRP’s Price
- Technical Compression: XRP’s price is technically compressed between the $1.32 and $1.43 levels.
- Offsetting Flows: Institutional ETF investors are selling, and whale investors are accumulating XRP.
- Market Caution: The crypto market is in a cautious mood, reflected in the CoinMarketCap Fear and Greed Index’s “Fear” territory reading.

Outlook and Potential Catalysts
- Range Trading: The price is expected to make small percentage movements in either direction until a breakout catalyst emerges.

- Key Levels: The price is expected to hold around the $1.32 level and the resistance at $1.45-$1.50.

Long-term Fundamentals: The infrastructure and fundamentals of the XRP ecosystem, such as the introduction of the RLUSD stable coin and AI security solutions, are expected to provide a boost to the price in the future.

#XRPRangeTrading #TechnicalCompression #FearAndGreedIndex #RippleInfrastructure #XRPBreakoutPotential

$XRP

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News Comes Last: Crypto Market Insights 🔥

- News vs Price Movement: Analysis of 63,926 CoinDesk headlines (2014-2025) shows price often moves before news headlines explain it.
- No Forecast Power: News volume didn't predict Bitcoin's price; correlation between article volume and price change was 0.019 (effectively zero).
- Sentiment Analysis: Headline sentiment explained only 0.5% of price movement, with unstable correlation.

The study suggests headlines often describe moves already reflected in market flows, making them a "last mile" explanation rather than a predictive signal.

#CryptoMarketRealityCheck #NewsLagInCrypto #PriceMovesFirst
#SentimentAnalysisLimitations #CryptoInsights

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