Daily Signal Sheets · point-in-time prediction table

Track what is changing across an entire universe.

Noah turns public signal into a daily, reproducible table across assets, companies, sectors, countries or perils — showing what improved, what deteriorated, what has thin coverage, and what deserves a drill-down report.

Universe scan Movers Drill-down Point-in-time CSV / JSON
What this is

One daily table. Not a hundred reports.

Noah does not produce 144 reports every morning. It produces one daily point-in-time signal table across a universe, then lets analysts drill down into the names, countries, sectors or risks that moved.

It is not

An auto-report factory.

  • 144 generated reports every morning
  • A trading bot or buy/sell signal
  • A sentiment dashboard
  • A claim that universe membership = evidence
  • A backtest of trading performance
It is

One reproducible point-in-time table.

  • One row per asset, company, country or peril
  • Coverage and confidence on every row
  • Thin-coverage rows stay visibly low-confidence
  • A surface for selecting what to drill down on
  • CSV / JSON exports of the daily sheet
From table to report

Three steps from universe to drill-down.

The sheet is the surface. The full Noah report is the drill-down — run only where the sheet says something changed.

01 · Daily universe scan

Score every entity in the watchlist with coverage and confidence.

One pass across the supplied universe — every asset, company, country or peril gets a point-in-time score, a coverage status and a confidence weight.

02 · Interesting movers

Surface worsening, improving, crowded or under-covered names.

The movers strip is the operational layer: which names shifted direction, which gained coverage, which became crowded, which need attention.

03 · Drill-down report

Run a full Noah report only where the sheet says something changed.

The full investigation lives in the platform. The sheet tells you which row deserves the deeper read.

Example output

One signal sheet. Multiple universes. One date.

This is the shape of a daily sheet. Each row is point-in-time — what the public signal supports right now. Direction reads differ by universe type (see below).

Daily signal sheet · 2026-04-27
5 of 232 rows shown · CSV / JSON exportable
Date Universe item Coverage Score Direction Top driver Warning
2026-04-27 BTC crypto Thin −0.35 Cautious Crowding Squeeze risk
2026-04-27 ETH crypto Thin +0.35 Bullish Momentum
2026-04-27 Nigeria K&R peril Strong +0.72 Elevated Incident pressure Abduction cluster
2026-04-27 Wise plc equity Usable −0.22 Cautious Regulatory pressure Compliance scrutiny
2026-04-27 Data centres Spain sector Thin −0.14 Watchful Grid constraint Thin coverage
Coverage pillThin · Usable · Strong. Thin rows do not borrow confidence from neighbours.
ScoreConfidence-weighted. Sign meaning depends on universe type.
WarningOptional flag attached to specific rows when applicable.
Reading direction

The meaning of a positive score depends on the universe.

Sign convention is universe-aware.

For market universes (crypto, equities, commodities), positive direction reads as constructive — momentum, attention, supportive narrative.

For risk universes (countries, perils, regulated names), positive direction reads as elevated risk — incident pressure, regulatory tightening, escalation signal.

The sheet always names the universe type, so the reading is unambiguous.

Market+ = constructive · − = cautious
Risk+ = elevated · − = easing
Sector+ = supportive · − = pressure
AlwaysCoverage and confidence travel with the score
Works across universes

One structure. Many universes.

Crypto is one universe. The same daily-sheet structure works wherever a coherent watchlist exists and Noah's archive has signal coverage.

Crypto

144-token daily sheet.

Score the client's supplied token universe each day on point-in-time public signal.

Equities

Public-company signal sheet.

Daily directional read across a defined company watchlist with coverage and confidence per row.

PE watchlists

Targets, portfolio companies, sectors, geographies.

One operational sheet across the entire PE surface — no hand-built monitoring sheets.

Insurance

50-country K&R / political violence / marine war risk sheet.

Daily peril radar across countries, cities or corridors. Underwriting reports become drill-downs.

Commodities

Futures and physical-balance watchlist.

Daily sheet across commodity contracts and physical-balance exposures, with the futures-curve gap clearly flagged.

Legal & regulatory

Companies or sectors under pressure.

Daily sheet of regulatory and legal pressure across a named watchlist — companies, jurisdictions or topics.

Private equity use case

Portfolio and target monitoring without reading 200 reports.

Private equity

Portfolio and target monitoring without reading 200 reports.

A PE team can monitor portfolio companies, acquisition targets, sectors and geographies every morning. The sheet flags regulatory pressure, demand softness, labour risk, litigation pressure, financing stress and competitor momentum.

When something moves, Noah generates the diligence memo.

PE sheet · sample row types
Portfolio companyPortCo A · −0.31
TargetTarget B · +0.18
SectorSpecialty chem · +0.42
GeographyUK SME credit · −0.27
CompetitorComp C · +0.55
Insurance use case

Daily K&R and political-violence radar.

Insurance

The sheet is the radar; the underwriting report is the drill-down.

For K&R, political violence or marine war, Noah can maintain a daily signal sheet across countries, cities or corridors.

The sheet surfaces escalation, incident clusters, narrative shifts and corridor-level pressure — and Noah generates the underwriting report only where the radar lights up.

Insurance sheet · sample row types
Country / K&RNigeria · +0.72
Country / PVLebanon · +0.61
CorridorBab-el-Mandeb · +0.48
CityMexico City · +0.22
PerilMarine war · +0.35
Crypto analyst use case

144 assets, one reproducible daily score table.

Crypto

Reproducible daily scores. No future price data in the score.

For crypto, Noah can score the client's supplied universe each day using point-in-time public signal. It exports CSV/JSON and stores cases for later validation.

It does not use future price data in the score.

Crypto sheet · sample row types
MajorBTC · −0.35
MajorETH · +0.35
Layer 1SOL · +0.41
DeFiAAVE · +0.18
InfraLINK · +0.12
Structured output

universe_signal_sheet · machine-readable.

Each daily sheet is exportable as JSON or CSV. Every row carries the date, universe type, coverage status, raw and confidence-weighted scores, direction, top driver and any warning attached.

Daily sheet · structured export universe_signal_sheet · 144 → 3 scored
{
  "product_type": "universe_signal_sheet",
  "date": "2026-04-27",
  "universe": "crypto",
  "total_assets": 144,
  "scored_assets": 3,
  "rows": [
    {
      "ticker": "BTC",
      "coverage_status": "thin",
      "raw_signal_score": -1.0,
      "confidence_weight": 0.35,
      "signal_score": -0.35,
      "direction": "cautious",
      "top_driver": "crowding",
      "warning": "squeeze_risk"
    }
  ]
}
Specialist output

Factor / Hedge Lens — when the universe is tradable.

Specialist Downstream of the sheet

The sheet becomes a research basket.

When the universe is tradable, Noah can convert the sheet into a research basket: long candidates, hedge candidates, watch names and top-up candidates.

This is research expression only — not execution advice. The same sign-convention and coverage rules apply: thin rows stay low-confidence, the universe is honest about what it covers.

Sample basket · derived from the sheet
LongSOL · AAVE · LINK
HedgeBTC · ETH
WatchARB · AVAX · ATOM · APT
Validation

Built to be tested later.

Stored per row
Every row is point-in-time, stored and re-checkable.

Each row is point-in-time. Noah stores the date, ticker, horizon, direction and coverage so later outcomes can be compared without pretending the system knew the future.

Validation is honest: thin-coverage rows are not promoted into outcomes; missing-coverage rows are not back-filled; the universe is not retroactively pruned.

Stored
Date
Stored
Ticker / item
Stored
Horizon
Stored
Direction & coverage
Boundaries

What the sheet does not claim.

Stated boundaries
Honest about what is and is not in the system.
  • No automatic buy / sell recommendations
  • No future price data in daily scores
  • No full backtest claim until enough cases exist
  • No raw source leakage
  • No execution-grade order book / funding / OI / on-chain claims unless connected
  • CSV / JSON exports are research outputs

The sheet is the radar. The full report is the drill-down.

Build a daily signal sheet.