According to @milesdeutscher, Perplexity can function as a crypto alerts engine beyond general market scanning, positioning it for real-time trading monitoring and alerting (source: https://twitter.com/milesdeutscher/status/1956113698990514382). He recommends two concrete steps for traders: create custom watchlists with alerts inside Perplexity, and prompt Perplexity to generate custom crypto news calendars to track market-moving updates (source: https://twitter.com/milesdeutscher/status/1956113698990514382).

According to @milesdeutscher, concise AI prompts can deliver a quick pulse of the entire crypto market in seconds and have been integrated into his daily morning routine, highlighting a fast decision-support workflow for traders focused on market timing and liquidity awareness, source: X post by @milesdeutscher, Aug 14, 2025. He demonstrated this by using Perplexity with a specific prompt to analyze altcoin volume rotation over the past 72 hours, emphasizing rapid identification of where trading volume is rotating across altcoins, source: X post by @milesdeutscher, Aug 14, 2025. The post underscores a practical method for traders to scan recent altcoin volume rotation to inform short-term positioning and momentum monitoring without manual data aggregation, source: X post by @milesdeutscher, Aug 14, 2025.

According to Balaji, Perplexity has presented a strong rebuttal to Cloudflare, emphasizing that AI agents function as direct extensions of human users. This means that when an AI agent submits an HTTP request, it should not be classified or treated as a bot. For crypto trading platforms leveraging AI-driven agents, this distinction is crucial for maintaining uninterrupted access to real-time data and trading APIs, as restrictive bot filters could disrupt automated trading strategies and market participation. This development underscores the importance of clear API usage policies for AI-powered trading tools, ensuring that algorithmic traders using AI do not face unnecessary access limitations. Source: Balaji (@balajis) via Twitter.

According to @StockMKTNewz, Bloomberg reports that Mark Zuckerberg and Meta (META) engaged in acquisition discussions with AI startup Perplexity prior to its recent deal with Scale AI. This highlights Meta's ongoing interest in expanding its artificial intelligence capabilities, which could intensify competition in the AI sector and indirectly impact publicly traded AI and crypto-related stocks. Traders should monitor the ripple effects on AI-linked tokens and blockchain projects as major tech firms like Meta pursue aggressive AI strategies. Source: Bloomberg via @StockMKTNewz.

According to @StockMKTNewz, Perplexity and Nvidia ($NVDA) are collaborating to launch localized and sovereign artificial intelligence models for European users, as reported by the Wall Street Journal. This partnership is expected to accelerate AI infrastructure development in Europe, which could drive demand for blockchain-based data privacy and decentralized compute solutions. Traders should monitor potential ripple effects on leading AI-focused cryptocurrencies, as advancements in sovereign AI may boost related tokens and infrastructure projects. Source: WSJ via @StockMKTNewz.

According to Miles Deutscher, the 'Deep Research' mode in Perplexity provides superior deep insight reports compared to other LLMs. This mode is particularly useful for cryptocurrency traders seeking detailed market analysis.

According to Miles Deutscher, Perplexity enhances trading analysis by aggregating data from diverse sources like Reddit and academic journals, enabling traders to form comprehensive strategies.

According to DeepLearning.AI, Perplexity has released DeepSeek-R1 1776, an updated version of their model originally developed for China. The significant change in this version is the removal of political censorship, which enhances its utility for users outside China. This adjustment could impact trading strategies that rely on AI models for market predictions, as it provides a broader scope for data interpretation and analysis. The fine-tuning process involved removing blocks on politically sensitive content, potentially leading to richer datasets for traders. (Source: DeepLearning.AI)