How Lobi works

Pipeline, rules, and publication.

Lobi compares market price with multiple evidence layers and only publishes setups that survive scrutiny. Five stages. Deterministic tier gates. Every publication logged to the public ledger.

Large raw edge does not outrank bad structure.

Pipeline

Collect → Analyse → Score → Filter → Publish

Every signal flows through the same five gates. No fast lane. No exceptions at the process level.

  1. 01

    Collect

    Live market + external signal intake

    Polymarket + Kalshi order books pulled every 15 minutes. News sentiment, volume anomalies, and cross-venue quotes collected in parallel.

  2. 02

    Analyse

    Evidence layers over raw data

    Five signal types run independently: cross-venue pricing, order flow, historical base rates, calibrated synthesis, and publication decision.

  3. 03

    Score

    Probability + confidence band

    Each signal votes on a probability. Signals agree or disagree. Confidence band is a function of agreement, not of the headline probability.

  4. 04

    Filter

    Deterministic tier gates

    Auto-reject regulatory, illegal, or NSFW. Apply confidence thresholds. Route to tier. Committee review for <1% of signals (Taiwan, elections, crash, regulatory impact).

  5. 05

    Publish

    Route to Public / Edge / Pro Desk

    Every publication logged to the public ledger with timestamp, published price, current price, confidence, and source count. Nothing cherry-picked.

Publication rule

Deterministic tier gates

The rule is codified, not negotiable. Confidence — not raw edge — gates the tier. Exceptions are governed, not implicit.

Public
confidence ≥ 85%
+ 24-hour backtest pass
Free users see this tier.
Edge
confidence ≥ 70%
+ 2 or more independent data sources
Paid tier, Edge subscribers.
Pro Desk
confidence ≥ 50%
+ explainability present
Institutional desk clients only. Raw feed + briefing.

Committee review (<1% of signals)

Taiwan / cross-strait scenarios, elections in markets with active legal interference, financial-catastrophe outcomes that could be self-fulfilling, and signals implicating near-term regulatory change. These route to Pro Desk only while human reviewers log their decision. No committee signal appears in Public or Edge.

Worked examples

One publish, one reject.

Same market-like setups, different outcomes. The difference is not edge. It's structure.

Fed cuts 25bp — published

Edge tier
Market
Fed cuts rates by 25bp in December
Market price
61%
Lobi view
68%
Edge
+7 pp
Confidence
Medium (72%)
Independent sources
3 of 4 agree (ARBITER, FLOW, PRIOR)
Tier
Edge
Why it published below 8pp default
≥70% confidence + 2+ aligned sources = Edge-qualified. Confidence gate is the authority, not raw edge.

S&P above 6,400 — rejected

Not published
Market
S&P 500 closes above 6,400 by Friday
Market price
38%
Lobi view
51%
Edge
+13 pp
Confidence
Low (41%)
Independent sources
1 of 4 agree — ARBITER + PRIOR disagree
Tier
Not published
Why rejected despite 13pp edge
Large raw edge does not outrank bad structure. Three signals dispute the direction; publishing would be noise disguised as conviction.

Signal types

Five independent voters.

Each signal votes on a probability. Disagreement is a feature: it downgrades confidence instead of silencing minority views.

  • ARBITER

    cross-venue pricing

    Compares Polymarket and Kalshi prices on the same question. Large spreads trigger a look.

  • FLOW

    order flow + momentum

    Reads the order book, not just the last print. Aggressive buying or selling shifts Lobi's view before the headline price moves.

  • PRIOR

    historical base rate

    How often has this outcome happened in similar setups? The base rate is the floor under any specific pick.

  • FORGE

    calibrated synthesis

    Combines ARBITER, FLOW, and PRIOR into one probability band. Reconciles disagreement instead of averaging it.

  • JUDGE

    publication decision

    Runs the tier gate. Rejects if any auto-reject flag trips. Otherwise routes to Pro Desk, Edge, or Public by the confidence rule.

Rejection triggers

What gets rejected

Before any confidence calculation, these filters fire first. If any of them trip, the signal never enters the tier gate.

  • Regulatory flag — jurisdictional gambling or betting law conflict
  • Illegal or NSFW market content
  • Extremist or harm-adjacent outcome framing
  • Insufficient liquidity — order book too thin to be actionable
  • Stale data — last update > 45 minutes ago
  • Conflicting signals at low confidence — no publication until reconciliation

Confidence governance

When confidence is downgraded

Published signals can still move between tiers. These conditions force a downgrade, not a silent update.

  • Only one independent data source supports the edge
  • Recent base-rate contradicts current price by > 20 percentage points
  • Venue liquidity thin enough that quoted edge may not execute
  • Signal freshness < 15 min but market has moved > 3pp since publication

How to read this page

  • New here

    Lobi compares market price with multiple evidence layers and only publishes setups that survive scrutiny. That's the whole product in one sentence.

  • Hobby bettor

    Large raw edge does not outrank bad structure. A 13pp edge with one aligned signal is worse than a 7pp edge with three. This page shows why.

  • Regular

    The worked examples below are real-shaped. Signals with dissent inside them should scare you more than signals with thinner headline edge.

  • Professional

    Thresholds are codified, not negotiable. Confidence gates the tier. Every publication logs timestamp, published price, current price, and source count to the public ledger. Exception policy is governed, not implicit.

Next step

See the rule applied in live signals, or audit every publication on the public ledger.