Intercambiar Maple Finance SYRUP a VolatilityX VOLTX

Maple Finance was founded in 2019 and launched its protocol in 2021. It is an overcollateralised onchain asset management platform offering institutional lending and permissionless yield products. Since launch, Maple has originated over $20 billion in loans. SYRUP is Maple's governance token, replacing the legacy MPL token via governance proposal MIP-010 in 2024 at a ratio of 1:100.  Maple's products include Maple Institutional - Secured Lending and syrupUSDC/syrupUSDT.

VolatilityX is creating a fully open, AI-driven platform for financial data, analysis, and insights. Our guiding principle is democratizing access to the kinds of resources that have traditionally been too expensive or restricted for everyday investors. Think of it as an “open Bloomberg”—only here, users don’t pay steep fees for specialized terminals or get locked behind walled gardens. Instead, we gather market intelligence across asset classes—stocks, options, commodities, crypto, and more—and share it openly on social media and within our platform, 24 hours a day, seven days a week. The motivation is simple: most individuals don’t have the same data and tools that big institutions enjoy. Retail investors log into platforms or apps hoping to manage their financial futures, but they’re often met with incomplete analysis, delayed advice, or poorly explained recommendations. What’s more, many brokers—though they hold fiduciary duties—can be biased, underinformed, or just stupid. They’re juggling too many clients, each with unique goals and risk profiles. As a result, many everyday investors either get dumbed-down advice or no personalized advice at all. VolatilityX proposes a different path: AI Agents that scour countless data points, interpret market signals in real time, and deliver relevant insights or alerts to each user based on individual preferences. These Agents have no personal agenda, no need for a lunch break, and no impulse to sugarcoat a bad forecast or hype a stock. They operate purely on logic and data, helping people understand their options—without the complexity or hidden motives that plague many corners of finance