The wealth management enterprise has spent a decade chasing alternative data — satellite imagery, credit card feeds, social sentiment scrapers. The bill has been considerable. The alpha has been modest.
Meanwhile, prediction markets have been quietly doing what all those feeds promised: aggregating distributed knowledge into a single, auditable probability estimate, updating in real time, priced in dollars.
This paper makes four arguments: why PM data is a risk signal layer (not a trade signal), why wealth platforms are systematically behind institutional desks, why PM closes the client behavioral gap, and why enterprise delivery requires a taxonomy before it requires a feed. Each argument stands alone. Together, they're a brief for action.
Click any node to see signal details, current market probabilities, and portfolio mapping guidance. Expand branches to navigate the full taxonomy hierarchy.
Move the sliders to reflect current or hypothetical PM market pricing. The simulator maps each probability shift to the asset class parameters it most directly affects.
Select your role to see the specific workflow, signal priorities, and implementation path most relevant to your context.
The prediction market ecosystem has splintered into a maze of venues, wallets, and jurisdictions. Polymarket on Polygon. Kalshi off-chain. Robinhood's own exchange. Institutional OTC. Twelve states with active litigation. Cross-platform probability spreads on identical events. Your clients' PM exposure — whether they know it or not — is already scattered across all of it with no unified risk view and no compliance trail.
WealthSmart was built for exactly this moment. It ingests PM data across venues, normalizes probabilities through TS Imagine's proven taxonomy architecture, maps signals to portfolio parameters, and surfaces everything to the advisor in a single workflow — the same infrastructure RiskSmart X uses for institutional margin and exposure management, now purpose-built for the wealth enterprise.
Click any row to expand correlated prediction market events — with live probabilities, directional correlation, and plain-language portfolio impact narrative. This is the WealthSmart advisor view.
Alternative data categories follow a consistent pattern. Early adopters build systematic infrastructure. A period of genuine edge follows — not because the data is secret, but because the discipline to integrate it systematically is rare. Then it commoditizes. Bloomberg packages it. The edge evaporates.
Prediction markets are in the early-adopter window right now. The BitGo/Susquehanna OTC launch, the MLB×Polymarket deal, and CNBC covering PM anomalies as surveillance events — these aren't signs the window is open. They're signs it's starting to close. The firms that build the taxonomy and train the practice now won't just have a data advantage. They'll have a practice advantage.
We'll walk through the taxonomy architecture, portfolio mapping workflow, and demonstrate the probability-weighted scenario overlay on a live wealth management book.
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