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Fields

SigmaGrid defines a compact, explicit schema designed for agents. Data is organized across endpoint tiers — the free teaser provides labels only, while paid endpoints return numeric data.


Free Teaser Fields (/v1/signals/{ticker})​

The free signals endpoint returns directional labels only — no numeric values.

FieldDescription
tickerUnderlying symbol (e.g. TSLA, NVDA, SPY)
regimerisk_on / risk_off / transitioning
event_riskEvent-risk level label
gated_endpointsMap of paid endpoint paths for numeric data

Fair Value Fields (/v1/fair-value/{ticker})​

FieldDescription
fair_valueInstitutional fair-value estimate
confidenceConfidence score (0-1)
sourcemarket_hours / futures_adjusted / pre_market_blend
per-venue premiumPremium-to-close in bps, keyed by venue

Premium & Spread Fields​

/v1/premium/{ticker} — per-venue premiums and spread summary.

/v1/spread/{ticker}:

FieldDescription
cheapest_venueVenue with lowest premium
richest_venueVenue with highest premium
max_spread_bpsMaximum spread across venues in basis points

Funding Fields (/v1/funding/{ticker})​

Stocks only (SPY and QQQ have no perp on our venues). Veranta (formerly Avantis) charges a borrow fee rather than periodic funding.

FieldDescription
funding_rateCurrent funding rate
z_scoreFunding z-score vs historical
anomaly_flagWhether funding is anomalous
reversion_probMean-reversion probability

Regime Fields​

/v1/regime/{ticker}:

FieldDescription
regimerisk_on / risk_off / transitioning
VIX contextVIX level and related context
confidenceRegime classification confidence

/v1/regime-basic/{ticker} — adds VIX level, VIX 24h change (points), funding direction.


Event Risk Fields​

/v1/event-risk/{ticker}:

FieldDescription
levelEvent-risk level (e.g. elevated)
hours_to_eventHours until next earnings event
avg_move_pctHistorical average move percentage
implied vs historicalAssessment of implied vs realized vol

/v1/events/{ticker}:

FieldDescription
event_nextNext major event
event_impactExpected impact level
event_biasDirectional bias: risk-on / risk-off / neutral
risk_levelOverall risk level

Liquidity Fields (/v1/liquidity/{ticker})​

Stocks only.

FieldDescription
dex_execution.execution_costs.venuesPer venue: cost in bps at $10k / $100k / $1m, fee, size cap, 24h volume, market open
dex_execution.execution_costs.best_by_sizeCheapest venue at each size
dex_execution.execution_costs.crossoverSize where the cheapest venue changes (trading cost only), with from/to venue and an approximate flag
dex_execution.execution_costs.crossover_with_feesSame, with the one-way opening fee added
dex_execution.execution_costs.ineligibleVenues left out and why (not listed, no live price, market closed)
dex_execution.best_execution_venueCheapest venue at $10k
tradfi_intelligenceGamma regime, positioning bias, ETF flows, smart-money conviction

Costs exclude fees (fees_included: false); fees are listed per venue so you can add them.


Alpha Snapshot Fields (/v1/alpha-snapshot/{ticker})​

The richest single-ticker endpoint. Includes all signal columns:

FieldDescription
fair_valueFair value with confidence score and source
per-venue premiumsPremium-to-close in bps per venue
vol_forecast_1h1-hour volatility forecast
vol_forecast_4h4-hour volatility forecast
regimerisk_on / risk_off / transitioning
event risk fieldsEarnings proximity, historical avg move, implied-vs-historical
spread fieldsCheapest/richest venue, max spread bps
funding fieldsFunding rates, z-scores, anomaly flags (stocks only)
beta_macroSensitivity to broad risk appetite
beta_yieldSensitivity to interest rates
beta_dollarSensitivity to USD strength
beta_vol_indexSensitivity to volatility regime (VIX-style)

Macro Beta Fields (in alpha-snapshot responses)​

FieldDescription
beta_macroSensitivity to broad risk appetite
beta_yieldSensitivity to interest rates
beta_dollarSensitivity to USD strength
beta_vol_indexSensitivity to volatility regime (e.g. VIX-style)

You can treat these betas as:

  • Routing inputs (e.g. suppress risk when beta_macro is high and macro regime turns risk-off).
  • Sizing multipliers (e.g. shrink trades in high beta_vol_index environments).
  • Hedging hints (e.g. align overlay hedges to beta_yield and beta_dollar).