See the market through its best traders.
Halo turns scattered public prediction-market activity into a clear intelligence layer: who has an edge, where conviction is building, and how to follow it within precise risk limits.
Markets reveal probability.
Behavior reveals conviction.
A market price tells you what the crowd believes now. Halo studies the behavior behind that price—the traders, entries, timing, sizing, and agreement patterns that can make a move worth understanding.
Read public market and trader activity.
Measure evidence, consistency, and risk.
Find independent high-quality agreement.
Apply explicit portfolio guardrails.
One market.
A richer picture.
Halo normalizes official Polymarket market metadata, public account activity, and order-book pricing into a common event model. That makes evidence comparable across markets without pretending every market behaves the same way.
Gamma metadata
Data API activity
CLOB pricing
Markets, outcomes,
positions, fills,
timestamps
Scores, signals,
context, and
risk decisions
Freshness is part of the data. Halo presents source and update context alongside live observations. If a value is unavailable, the product does not invent a replacement.
A compact view
of observable edge.
94The Halo Score is a 0–100 evidence-weighted ranking designed for comparison—not a promise of future returns. It rewards repeatable performance, useful history, and risk-aware behavior while reducing confidence when the evidence is thin.
Weights describe the current scoring framework and can evolve as the methodology is validated. Market context and evidence depth still matter.
When strong,
independent views align.
A Convergence Signal forms when multiple qualifying traders independently build exposure to the same outcome. Halo de-duplicates wallets, compares timing, aggregates visible exposure, and surfaces the evidence as a readable signal.
Agreement is useful only when you can inspect it.
Every signal is paired with its direction, participating evidence, observed timing, market price, and confidence context.
5 qualifying traders
aligned on the same outcome
- DirectionYES
- Market price64¢
- ConfidenceHIGH
Repeated or linked observations should not inflate a signal.
Fresh, clustered entries carry different meaning from stale positions.
The underlying observations remain visible beside the conclusion.
From source trade
to bounded decision.
Halo's portfolio experience models what strategy-following could look like under a user's own limits. It is a policy engine, not a blind multiplier.
- 01Read the source event
Direction, entry, size, timing, and current market state.
- 02Run policy checks
Eligibility, score threshold, liquidity, concentration, and loss limits.
- 03Calculate target size
Scale exposure against portfolio capital and copy percentage.
- 04Record the decision
Show copied, reduced, skipped, or paused—with a reason.
The limit is part
of the strategy.
More activity is not the goal.
Better-filtered activity is.
Inspectable
by default.
Halo separates observed data from calculated intelligence. The interface is designed to preserve provenance, timestamps, calculation context, and the difference between live observations and paper-portfolio modeling.
{
"source": "public_market_activity",
"observed_at": "2026-08-16T…Z",
"participants": 5,
"direction": "YES",
"confidence": "high",
"mode": "observed"
}Read the public engineering overview.
Architecture, methodology, data boundaries, and risk principles.
Good questions
are part of the edge.
Does Halo use live prediction-market data?
Yes. Halo's live surfaces use official public Polymarket endpoints for market metadata, public trader activity, and pricing. Source availability and update timing can vary.
Is the portfolio real-money execution?
The current portfolio experience is a paper simulation for exploring sizing and risk policies. It is labeled as paper mode and does not place trades or hold funds.
Does a high Halo Score guarantee performance?
No. It summarizes observable historical evidence. Prediction markets remain uncertain, and past performance cannot guarantee future results.
Why use multiple independent traders?
Agreement can be more informative when it comes from genuinely separate decision-makers. Halo uses independence, timing, and evidence quality to reduce noisy consensus.