Remora's New Platform Gives Options Traders an AI Co-Pilot

NEW YORK, NY – June 23, 2026

The world of options trading has long been a fragmented landscape for individual investors and even many professional money managers. A typical workflow involves a patchwork of tools: a screener to find opportunities, a spreadsheet for tracking, a charting service for technical analysis, and a separate feed for market flow. Today, a new company, Remora, is making a bid to change that, launching its all-in-one options income platform out of a private beta and into the public market. But while its promise to consolidate five browser tabs into one is compelling, the real story lies in how it leverages the next wave of technology, becoming one of the first platforms of its kind to run natively inside AI assistants.

Remora is targeting a specific, often underserved, segment of the market: the income trader who methodically sells premium through strategies like covered calls and cash-secured puts. The platform offers a suite of tools tailored to this discipline, including screeners for 12 different spread strategies, portfolio tracking that understands the full 'wheel' lifecycle, and analytics that calculate a true cost basis by incorporating collected premiums. Yet, its most forward-looking feature is its deep integration with artificial intelligence.

A New Protocol for Progress

Remora’s most significant innovation is its adoption of the Model Context Protocol (MCP), an open standard introduced by Anthropic in late 2024 to allow AI assistants to securely connect with external data and applications. By building its platform around an MCP server, Remora enables traders to connect their preferred AI assistant—be it Claude Desktop, Cursor, or any other compatible tool—and interact with the platform using plain English.

Instead of manually filtering columns and rows, a user can now ask, “find me a high-probability spread on NVDA with $5,000.” The AI, connected directly to Remora’s data and the user's own account information, can parse the request and provide an answer based on real-time market data. This isn't just a chatbot providing generic information; it's a co-pilot with access to the full suite of Remora’s screening and analytical tools. The AI can answer questions and surface data, but for security, it does not place trades. This approach addresses a major limitation of large language models, which are typically isolated from real-time data, and does so without requiring users to write a single line of code.

The adoption of an open protocol like MCP is a strategic move. It signals that Remora is not building a walled garden but is instead embracing an emerging industry standard supported by major players like OpenAI and Atlassian. This positions the platform not just as a tool for today, but as a node in a growing ecosystem of interconnected, intelligent applications.

Consolidating the Trader's Toolkit

Beyond its AI capabilities, Remora’s core value proposition is the unification of a fractured workflow. “Most options software was built either for institutions or for fast day-trading screens — not for the person quietly selling premium on names they already own,” a Remora spokesperson noted. The platform aims to fill that gap by folding the entire process into a single interface.

This includes a proprietary “Remora score” from 0–100 that ranks every contract by yield, probability, and risk, giving traders a quick way to surface interesting setups. For those running the popular 'wheel' strategy—selling cash-secured puts and, if assigned, selling covered calls—the platform’s tracking is particularly noteworthy. It follows the full lifecycle of a trade from put to assignment to call, correctly calculating the cost basis with premium included. This provides a far more accurate picture of performance than a simple spreadsheet ever could.

The platform emerges from a private beta where it was tested by professional money managers. One such manager, who runs his entire options book on the platform, stated, “I find every trade and manage every position in Remora — it’s the only screen I keep open.” While the company provides disclaimers that results are not typical, this origin story lends credibility to its claim of being a professional-grade tool now being democratized for a wider audience.

The 'Moneyball' Future of Options Income

Remora is launching with two paid tiers, starting at $99 per month, but it is already teasing its next evolution with a waitlist for its Ultimate plan. This top tier will feature a system called Saber, which the company describes as “Moneyball for options income.”

The premise of Saber is to move beyond simple yield-chasing. Where a basic screener might highlight a trade with the highest raw premium, Saber is designed to ask a more sophisticated question: Is the trader being paid enough for the risk being taken? The system will grade setups on stability and efficiency, flagging potential “yield traps” that look attractive but carry hidden dangers. It will also translate complex option Greeks into more intuitive income metrics, like a “Theta Yield Equivalent” (TYE) that expresses premium as an annualized yield on the capital a trade reserves.

This focus on risk-adjusted returns represents the next logical step in the democratization of sophisticated financial tools. First came access to the markets, then came access to data, and now comes access to advanced analytical frameworks. With the launch of Remora and the promise of systems like Saber, the line between institutional and individual traders continues to blur, empowering a new generation to navigate market volatility with greater insight.