Markets on company KPIs are one of the best prediction market use cases, clearly displaying the fundamental advantages of the asset class when compared to the stock market. People and institutions with specific theses on company-related activities – think Tesla production, DoorDash deliveries, or Netflix subscribers – often express this thesis via the stock market, buying or shorting the stock depending on their expectation of the KPI.

The issue is that because the stock market often moves based on unrelated events, such as investor sentiment, unrelated breaking news about the company, or macro factors, investors are often right about their thesis, but lose money anyway. The simple, binary structure of event contracts fixes this. By breaking down stocks into their component parts, Kalshi offers investors a simple and superior way to express opinions about companies’ futures and hedge related volatility and idiosyncratic risk.

Through this collaboration, Kalshi is integrating Benzinga’s Earnings Calendar alongside Fiscal.ai’s Company KPI data to help inform the creation and settlement of markets based on corporate performance. Together, these datasets provide a more structured and scalable approach to supporting company KPI-based event contracts.

Read More Here

In March 2025, FISD published its Alternative Data Council Buy-Side Perspective: Understanding Investment Firms’ Use of Licensed Data with GenAI. The paper is a thoughtful and constructive contribution to one of the most important licensing and governance discussions now taking shape across capital markets. It is especially useful because it replaces broad assumptions and reactive positioning with a more practical framework for understanding how investment firms are actually using licensed data with GenAI technologies.

From our perspective at PostSig, the paper gets several important things right. It correctly distinguishes between public AI tools, enterprise deployments, and private or proprietary environments, all of which carry materially different implications from a security, confidentiality, and licensing standpoint. It also usefully separates inference, fine-tuning, and full model training rather than treating all AI-related activity as a single category. Just as importantly, it grounds the discussion in the FISD derived data framework, particularly the practical tests of reverse engineering and functional substitution. Those distinctions create a solid foundation for a more precise and commercially workable conversation.

Read more here

New nxAccess capabilities enable firms to dynamically switch to the fastest available exchange session and private links in real-time.

NEW YORK and ST. LOUIS – April 8, 2026 – Exegy, a leading provider of market data, trading technology, and managed services for the capital markets, today announced a significant performance enhancement to nxAccess, its FPGA-based trading engine. The update introduces the Session Override feature and expanded connectivity options, delivering an impressive 71% reduction in execution-stack latency to help firms capture every market opportunity.

As electronic trading infrastructure grows increasingly complex, the ability to choose the optimal path to local and remote venues is a significant driver of execution performance. The latest evolution of nxAccess addresses this by giving firms the agility to bypass traditional hardware constraints and pivot to the fastest available session or network link at the moment of execution.

“In today’s fragmented markets, the fastest route at market open isn’t necessarily the fastest at midday. Relying on static configurations creates ‘latency leakage’ that firms can no longer afford. nxAccess bridges this gap by turning connectivity into a dynamic asset rather than a hardware bottleneck,” said Olivier Cousin, Director of Product, FPGA Solutions at Exegy. “This reduction allows firms to maintain deterministic performance even during high-burst volatility, ensuring orders are filled at intended prices.”

The centerpiece of this release is Session Override, a built-in capability of nxAccess that allows firms to monitor session performance in real-time. Because local exchange latency can fluctuate throughout the day, Session Override enables an algorithm to select the best-performing session the instant a trigger occurs.

Key benefits and enhancements of the new nxAccess release include:

• ‌Dramatic Latency Improvement: Achieves up to a 71% reduction in execution-stack latency, measured from Start-Of-Packet (SOP) to Start-Of-Packet (SOP) on the switch, ensuring deterministic performance for the most demanding environments.
• ‌Dynamic Session Optimization: The new Session Override feature allows firms to use their own software to measure session performance in real-time and automatically pivot to the fastest available path without the need for hardware re-coding.
• ‌Expanded Connectivity for Premium Links: Beyond standard TCP, nxAccess now supports UDP-based multicast and raw Ethernet frame transmission “out of the box”, allowing firms to leverage ultra-low latency wireless and private links immediately.
• ‌Accelerated Time-to-Production: As an off-the-shelf FPGA platform, nxAccess combines the raw speed of hardware with the flexibility of software, allowing firms to deploy these performance improvements without the long development cycles typical of custom FPGA builds.

nxAccess is Exegy’s premier FPGA-based trading engine, designed to load order templates via software while using hardware-level logic to trigger, update, and transmit orders with nanosecond precision.

About Exegy Inc.

Exegy is the capital markets platform that links elite trading firms to the global venues where they transact. By addressing the full spectrum of speed requirements and offering expert managed services, we partner with our clients to achieve better trading outcomes than they can on their own. Our platform helps clients process, normalize, distribute, and act on real-time data with deterministic performance as volumes, volatility, and complexity rise. Our flexible integration options, from fully managed solutions to FPGA building blocks, allow us to partner closely with institutional and retail brokerages, principal traders, asset managers, and trading venues.

For more information, visit exegy.com.

March 30, 2026 – NZX is pleased to announce the launch of the S&P/NZX 20 Index Futures on April 28, 2026, providing investors with a low-cost hedging tool to manage risk or gain exposure to New Zealand’s equity markets.

Index futures are exchange-traded contracts that lock in a price for exposure to the S&P/NZX 20 Index, with settlement on a set date in the future. On expiry, the contract is cash settled based on the index level, so gains or losses reflect how the index has moved over the contract term. This will allow investors, including KiwiSaver funds, to adjust their New Zealand equity exposure as markets change, while helping support trading activity and liquidity in NZX listed companies. New Zealand has been an outlier among first-world economies in not having liquid index futures markets, especially when comparing against other similar developed economies such as Poland, Portugal and Sweden.

Read more here.

People talk about “latency” in markets like it’s inherently suspicious. We think that’s the wrong frame. The real issue isn’t speed; it’s synchronicity: how quickly different points of view converge on the same market reality. Questions I hear often go something like this:

Why does speed matter? Isn’t low latency a bad thing? Should firms that build faster connectivity even exist?

I think the word “speed” (or “latency”) has been successfully framed as a moral issue. It is not. It is an engineering reality inside any distributed system.

So, let’s use the better word:

Synchronicity.

Read more here.