Glossary
Short definitions aligned with the live pipeline. For the full CLV methodology, see How it works → CLV.
- A-tier / B-tier
- A-tier signals pass the full execution bar for actionable alerts (Discord + email). B-tier is watchlist-only: same underlying model, but capped or downgraded by design (e.g. liquidity, anti-filters, model-risk). B-tier is for monitoring, not the same conviction as A-tier.
- Beat the closing line
- For our Kalshi NO (under) totals strategy: positive CLV — the Kalshi NO price at our post-game snapshot was higher than the NO target price stored at detection. That is line quality on the Kalshi contract, not sportsbook CLV.
- CLV (closing line value)
CLV = NO_price_at_close_snapshot − NO_targetPrice_at_signal(contract scale 0–1; we display cents). Captured only after a post-start delay so the Kalshi print reflects settlement, not in-game noise. Not realized profit: maker fees and fill quality are separate.- Consensus μ (mu)
- Expected total runs (MLB) or points (NBA) from the sharp-book consensus at signal detection, after matching the Kalshi event. Shown in advanced details as "Consensus μ".
- Edge (badge / σ=1.3)
- Model-implied edge at detection, fee-aware in the engine (e.g.
edgeS13). This is not the same number as post-game CLV: edge is "model vs entry"; CLV is "entry vs Kalshi close." - Games settled (deduped)
- Public and Performance hero stats use A-tier signals only, one row per Kalshi event after dedupe, with non-null CLV. The count is games, not raw signal rows.
- Maker limit price
- Suggested posted limit on Kalshi (typically one tick inside the mid). Fills are not guaranteed at this price; liquidity and queue position matter.
- Model probability
- Fair P(NO) from the scenario ladder (e.g. σ=1.3) at detection, on the same side as the signal. Shown on cards as "Model" next to entry.
- Target price
- Kalshi NO price used as the reference entry for the signal (stored as
targetPrice). CLV compares this to the NO price at close.