Paradigm is pushing deeper into prediction markets with a broader infrastructure buildout that now includes a professional trading terminal, an explored in-house market-making desk, and research into index-style products for event contracts. The company is clearly positioning itself around the idea that prediction markets need institutional-grade tools, not just retail-facing interfaces.
The timing of that push is significant because the market has expanded rapidly in a short period. Monthly prediction-market volume climbed from about $1.2 billion in early 2025 to roughly $25.7 billion by March 2026, creating the kind of scale that makes more sophisticated execution and liquidity tools commercially relevant.
Building a professional layer for event markets
Paradigm’s project, led by partner Arjun Balaji, began development in late 2025 and is now being rolled out in the second quarter of 2026 as a Bloomberg-style terminal for event markets. The product is designed to give professional traders a more complete operating environment through real-time feeds, advanced order types, programmatic APIs, cross-venue routing and built-in compliance tooling.
That design suggests Paradigm is not simply trying to make prediction markets easier to access, but easier to trade seriously. By focusing on execution quality and lower-slippage routing across regulated and on-chain venues, the company is aiming to make larger and more systematic strategies more practical in a market that still lacks mature infrastructure.
At the same time, Paradigm is exploring an internal market-making operation that would actively provide two-sided liquidity across event contracts. If that desk moves forward, it would give the firm a direct role in tightening spreads and improving order-book depth at a moment when market growth is beginning to attract more institutional attention.
Index products could change how institutions approach the sector
The third part of the strategy is research into index-style products that would package multiple event contracts into a single tradable instrument. That would give allocators and treasury-style participants a cleaner way to gain diversified exposure without having to build and manage a fragmented book of separate prediction positions.
This is also why Paradigm has started collecting prediction-market data into a public dashboard. The company appears to be building not only execution infrastructure, but also the market data layer needed to support broader productization and more disciplined risk management.
The opportunity, however, is arriving alongside a more complicated regulatory backdrop. As prediction markets professionalize, they are also drawing heavier scrutiny from the CFTC, federal lawmakers and state authorities, creating a market where better infrastructure may improve trading efficiency while legal uncertainty still shapes what products can survive.
Paradigm’s strategy makes sense in that context because it treats prediction markets less like a novelty and more like an emerging asset class with its own execution, liquidity and portfolio-construction needs. Whether that vision gains real institutional traction this year will depend not only on the quality of the tools, but on how the regulatory environment evolves as the sector grows.