Own a theme before it's a crowded holding.
Crypto Staking Yield: no ETF holds more than 28% of it. Parliament lists the names.
Trusted by some of the most demanding investors, desks, family offices, wealth managers, and PMs.
ANTE ALIOS VIDERE
Parliament is alternative data the factor models don't carry: theme membership, institutional block flow and macro regime sensitivity, scored on what's left after the factors.
Crypto Staking Yield: no ETF holds more than 28% of it. Parliament lists the names.
AI Capex: block flow −0.8σ below its norm, and down from first to second in four weeks.
Critical Minerals and Rare Earths: no ETF holds more than 45% of the names.
Private Credit: no ETF holds more than 45% of the names.
E-Commerce: no ETF holds more than 54% of the names.
Nuclear Renaissance: no ETF holds more than 56% of the names.
276 themes that cut across sectors, linked to every ticker that belongs to them and rebuilt as the market changes.
Standard factors sort stocks by size, price ratios and past returns. None of them knows Microsoft shares 125 themes with Alphabet.
Every large print, rolled up by theme and scored against that theme's own 63-day history.
Factor models are built from prices and fundamentals. Who is trading, in what size, isn't in them.
Each theme's measured response to changes in growth and inflation, placed against where the data and the market say we are now.
A theme's macro exposure moves with its membership. Static factor portfolios don't track it.
Four working pages, captured from the live app. Click a screen to see it at full size.
Dashboard
Start every session here. The dashboard opens with a market tape across equities, yields, the curve, breakevens and credit, then places the economy in one of four growth-and-inflation regimes and flags when published data and market pricing disagree. Every theme is plotted by how it has behaved in each regime, sector averages are broken open to show the spread between their best and worst themes, and a rank ladder shows what moved up and down over four weeks.
Theme page
Pick any of 276 themes and see it measured the way you would measure a fund: returns, Sharpe, Sortino, drawdown, beta and block activity across one, three and twelve months. A factor profile separates market exposure from alpha. The page shows which themes share its members, which ETFs actually hold it, how its capital splits by sector, industry, size and style, and every constituent.
Ticker page
For any ticker, Parliament runs the same performance and factor work, then puts the name in context: the themes it belongs to and the block prints charted under the price, with the largest blocks of the last one, three and twelve months listed with price, size and notional. Valuation, profitability and balance sheet figures sit on the same page.
Book
The Book page runs model portfolios on Parliament's own data, rebalanced daily from a $250k start, so you can watch the signals behave as positions instead of charts. It reports the book against buying and holding SPY on more than 30 statistics, shows where the capital sits by sector and theme, and tracks the names that rotated in and fell off, and the book's factor exposure.
Model books are for educational purposes only and are not investment advice.
These stats are for the past year alone, 3 Sep 2025 through 9 Oct 2026. Each model is tested against market, size, value, momentum and quality. The last column is its largest correlation with any one of those factors. Compare them with how your own models have done over the past 12 months.
Exact daily holdings for these models are available in the app, in the Books section.
Get the full methodology| Model | Alpha, annualized | t-stat | Max factor correlation |
|---|---|---|---|
| Model A | +59.8% | 2.31 | 0.56 Market |
| Model B | +30.8% | 2.01 | 0.73 Market |
| Model C | +2.3% | 0.10 | 0.62 Market |
| Model D | +46.4% | 2.41 | 0.50 Market |
| Model E | +90.4% | 2.04 | 0.22 Size |
| Model F | +82.2% | 1.95 | 0.43 Market |
| Model G | +73.2% | 1.65 | 0.23 Size |
| Model H | +82.8% | 2.55 | 0.49 Market |
Backtest of the equal-weight theme book, rebalanced daily, with no transaction costs, from 3 Sep 2025 through 9 Oct 2026. A session with no theme selected is held in cash and kept in the regression. Each model uses only data already known. A stored theme move larger than 25% is left out. Alpha is the annualized intercept on the five factors, and the t-stat is ordinary least squares.
Every theme is regressed on market, size, value, momentum and quality. Alpha is what's left after all five.
Macro series come from FRED. Market and block-print data come from the securities information processors, the consolidated feeds that cover every US exchange plus off-exchange trade reports, not just a sample. Themes are built by our models from real-time news and events, so they track new narratives before most people have a name for them.
The dashboard, theme and ticker pages, plus PDF Share and Export. API access coming soon.
Register for free and use the dashboard as much as you like. Full access is $199 a month, with no long-term commitment, and you can cancel anytime. It includes breaking themes as they emerge, how their makeup changes over time, the quantitative stats behind each one, in-depth analytics on stocks and ETFs, and the model books shown above, with exact holdings updated daily.
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