The Question Every Investor Asks
“Where is this market going?” Until now, answering that meant reading dozens of articles, tracking indicators manually, and hoping your gut was right. Institutional investors have entire research teams for this. Prism gives you the same capability.
Institutional-Grade
The same predictive modeling hedge funds and REITs use — without the six-figure analyst salary.
Agents, Not Algorithms
Each agent is autonomous. They research, reason, and disagree — just like real market participants would.
Data-Driven Decisions
Every prediction is backed by live FRED data, Census demographics, sold listings, and web research with clickable sources.
How the Agents Work
Each agent is an autonomous entity with its own perspective, incentives, and research.
Buyer Agents
Analyze affordability, mortgage rates, income-to-price ratios, and migration patterns to predict purchasing demand. They track whether buyers are being priced out or flooding into the market.
Seller Agents
Monitor inventory levels, days on market, price reductions, and listing activity to forecast supply pressure and pricing strategy shifts.
Investor Agents
Calculate cap rates, cash-on-cash returns, and rental yields. They shift between buy, hold, and sell based on risk-adjusted returns vs. alternative investments.
Institutional Agents
Model large-scale capital flows — REIT acquisitions, build-to-rent pipelines, and portfolio rebalancing that can move entire markets.
Renter & Migration
Track population flows, remote work trends, cost-of-living arbitrage, and rental affordability to predict where demand is shifting.
Macro Agents (Fed, Builder, Lender, Gov)
Model monetary policy, construction pipeline capacity, lending standards, and regulatory changes that create macro tailwinds or headwinds.
Every agent gathers real economic data spanning multiple years, reasons across multiple rounds over the simulation period, and makes independent decisions. Then their collective behavior produces the market forecast — not a single algorithm, but an emergent outcome of thousands of competing interests.
What Powers Prism
Thousands of Autonomous Agents
Each agent is its own entity — buyers, sellers, investors, renters, institutions, government, lenders, and builders. They each gather research, analyze years of data, and make independent decisions based on their own incentives.
Statistical Model Ensemble
Multiple proprietary quantitative models run simultaneously — each capturing a different market force like supply dynamics, affordability shifts, and price momentum. Blended into a weighted ensemble forecast.
Monte Carlo Simulation
Dozens of randomized runs model uncertainty — perturbing sentiment, rates, and shocks to give you confidence bands, not just a single number. Know the range of probable outcomes.
Live Economic Data
Every simulation pulls real-time economic data — mortgage rates, unemployment, housing starts, population trends, median prices, and recent sold listings from multiple authoritative sources.
Deep Web Research
Before agents reason, AI searches the web for local conditions — new construction, zoning changes, employer relocations, migration patterns, and policy shifts that impact prices.
21 Backtest Scenarios
Validate predictions against known outcomes: COVID crash, 2008 crisis, rate hikes, tariff shocks, and more. Each backtest uses only data available at the time — no future leaks.
How It Works
Choose a Market & Scenario
Select from 130+ U.S. markets across all 50 states. Set your time horizon (1-5 years), choose research focus areas, and optionally configure 45 scenario conditions to model specific futures.
Agents Research & Reason
Thousands of agents are deployed. They pull live economic data, demographic trends, recent sold listings, and search the web for local news, development projects, and policy changes. Then they reason independently across multiple rounds — debating, adjusting, and making decisions based on real data.
Models Generate Forecasts
Multiple proprietary statistical models run in parallel — each capturing different market forces like supply dynamics, affordability, momentum, and more. Monte Carlo simulations produce confidence bands. The ensemble blends everything into a final prediction.
You Get Actionable Intelligence
Price predictions with confidence bands, risk scores, a strategic playbook per agent type (buy/hold/watch), full model breakdowns, interactive charts, research sources, and an AI chat to ask follow-up questions about any part of the forecast.