Platform Coverage

Everything the platform includes.

A complete breakdown of the Quantis data infrastructure, organized into five product pillars. Every item below maps to a real API scope and endpoint family — see the API reference for request/response details, or pricing for which tier includes which scope.

01 — Data

Market data, derivatives, fundamentals & every asset class

Scopes: market_data, historical_data, futures, options, fundamentals.

Market Data Core

  • Real-time & delayed data
  • Historical data — tick to monthly
  • OHLCV
  • Bid / Ask / Mid price
  • Spread
  • VWAP
  • Trades & Time and Sales
  • Volume & trade count
  • Market status & trading sessions
  • Pre-market, regular market, after-hours
  • Auctions, halts, circuit breakers
  • Corporate actions
  • Symbol mapping — ISIN / FIGI / CUSIP / SEDOL where available
  • Exchange identification & currency conversion
  • Data timestamps & data freshness

Order Book & Microstructure

  • Level 1 & Level 2
  • Full order book, bid/ask depth
  • Order-book imbalance
  • Liquidity walls & liquidity removal
  • Large orders, block trades, sweeps
  • Iceberg detection where data permits
  • Aggressive buy/sell volume, delta, cumulative delta
  • Volume imbalance & absorption
  • Trade velocity
  • Footprint, Volume Profile, Market Profile, TPO
  • Auction analysis

Futures

  • Quotes, trades, OHLC, volume, open interest
  • Settlement & expiration
  • Contract specs — multiplier, tick size/value, trading hours
  • Futures curve, basis, spot/futures spread
  • Contango & backwardation
  • Calendar spreads, roll yield, implied financing
  • Continuous contracts & rollover
  • COT positioning

Options

  • Full chains — calls & puts, strike, expiration, bid/ask/last, volume, open interest
  • Premium, implied & historical volatility
  • Greeks: Delta, Gamma, Vega, Theta, Rho
  • IV Rank, IV Percentile, Put/Call ratio (volume & OI)
  • Volatility smile, surface, skew, term structure
  • Options flow: unusual activity, block trades, sweeps, large premium trades
  • Gamma exposure & dealer positioning
  • Max pain, open-interest & strike concentration

Equities & Fundamentals

Per company: price, valuation, profitability and growth, plus earnings, analyst and corporate-action intelligence.

  • Price, market cap, enterprise value, shares outstanding, float
  • Revenue, EBITDA, EBIT, net income, EPS, free cash flow, cash, debt
  • Margins: gross, operating, net — ROE, ROIC
  • Valuation: P/E, forward P/E, EV/EBITDA, EV/Sales, P/S, P/B, PEG, dividend yield
  • Growth: revenue, EPS, EBITDA, FCF, margin growth
  • Earnings calendar — estimates, actuals, surprise, guidance, revisions, transcripts
  • AI earnings analysis — bullish/bearish factors, guidance interpretation, management sentiment
  • Analyst ratings, price targets, consensus, upgrades/downgrades, estimate dispersion
  • Corporate actions — dividends, splits, buybacks, offerings, spin-offs, M&A, IPOs, delistings, insider transactions

Fixed Income

  • Treasury yields — 2Y, 5Y, 10Y, 30Y
  • Yield curve & real yields (TIPS)
  • SOFR & Fed Funds
  • Swap rates
  • Credit spreads — investment grade & high yield
  • Curve analytics: 2Y10Y, 5Y10Y, 10Y30Y, steepening/flattening/inversion

Forex

  • Spot, bid/ask, spread
  • Forward, swap, carry, interest-rate differential
  • Volatility
  • COT positioning
  • Currency strength matrix — EUR, USD, GBP, JPY, CHF, CAD, AUD, NZD

Commodities

Gold, silver, copper, oil, natural gas, wheat, corn, soybeans, coffee, sugar, cotton.

  • Spot & futures
  • Inventory, production, consumption, imports/exports
  • COT positioning
  • Futures curve
  • Seasonality

Crypto

  • Spot, futures, perpetuals
  • Funding rate, open interest, liquidations
  • Long/short ratio
  • Exchange flows
  • On-chain activity & whale transactions
  • Stablecoin supply, BTC dominance, ETH/BTC
  • ETF flows

ETF Intelligence

  • Price, volume, AUM, NAV, premium/discount
  • Holdings, sector & country exposure, top holdings
  • Creation/redemption activity
  • Flows — daily & historical
02 — News

News intelligence, macro releases & central banks

Scopes: news, macro.

News Feed Categories

  • Breaking, financial & market news
  • Company & equity news
  • Futures, forex, commodities, crypto news
  • Macro & central bank news
  • Geopolitical & regulatory news
  • M&A, earnings, credit, energy & technology news

Per-Article Data Fields

  • Headline, source, author, timestamp, URL, language
  • Country, company, ticker, sector, industry, asset class
  • Event type & importance
  • Sentiment & market impact score
  • Related assets & related events
  • AI-generated summary — clearly labeled as interpretation, not fact

Economic Data

CPI, Core CPI, PPI, GDP, NFP, unemployment, jobless claims, retail sales, PMI, ISM, industrial production, durable goods, consumer confidence, housing starts, existing/new home sales, trade balance, manufacturing & services.

  • Every release includes: Actual, Forecast, Previous, Revision, Surprise

Economic Calendar

  • Event, country, release time, importance
  • Forecast, previous, actual, surprise, revision
  • Related assets & historical market reaction
  • Filters: country, asset, importance, date, event type

Central Banks

Fed, ECB, BoE, BoJ, SNB, BoC, RBA, RBNZ, PBoC.

  • Interest rates & rate decisions
  • Meeting dates, minutes, statements, speeches, press conferences
  • Balance sheet, QE/QT, forward guidance

Rate Expectations

  • Market-implied rate probabilities — hike / hold / cut
  • Expected terminal rate
  • Meeting-by-meeting expectations & historical accuracy
03 — Analytics

Order flow, volatility, regimes, flows & risk

Scopes: analytics, risk, portfolio.

Institutional Flows & Positioning

  • ETF flows, fund flows
  • Futures & options positioning
  • COT — commercial & non-commercial
  • Institutional vs retail positioning
  • Short interest, short ratio, borrow availability where licensed
  • Large transactions

Seasonality Engine

Per asset: daily, weekly, monthly, quarterly, annual.

  • Average & median return, win rate
  • Volatility & maximum drawdown
  • Best/worst period, sample size, distribution

Correlation Engine

  • Correlation matrix & rolling correlation
  • Cross-asset correlation
  • Beta & relative performance
  • Cointegration & pair relationships
  • Example chain: NQ ↔ BTC ↔ NVDA ↔ 10Y ↔ DXY

Volatility Engine

  • Realized volatility
  • Historical volatility
  • Implied volatility
  • Volatility percentile
  • Volatility rank
  • Volatility term structure
  • Volatility surface
  • VIX & VIX futures analytics
  • Cross-asset volatility

Market Regime Engine

Identifies the prevailing regime and exposes it through dedicated API endpoints.

  • Risk-on / Risk-off
  • High volatility / Low volatility
  • High liquidity / Low liquidity
  • Inflationary / Deflationary
  • Tightening / Easing
  • Trending / Mean-reverting

Market Radar

Automatic detection screen.

  • Biggest movers, volume & volatility spikes
  • Open-interest spikes, options & futures anomalies
  • News catalysts, unusual trades
  • Liquidity changes, correlation breaks, regime changes

Alert Engine

Alerts on price, volume, volatility, news, earnings, macro, options, futures, open interest, funding, liquidity, correlation, risk and regime changes.

  • Delivery channels: WebSocket, Webhook, Email, Push, API

Portfolio & Risk Analytics

  • Position sizing & risk per trade
  • Portfolio risk, exposure, leverage, margin utilization
  • Maximum drawdown
  • VaR & CVaR
  • Stress testing & scenario analysis
  • Correlation, beta, volatility
  • Liquidity risk
04 — Intelligence

AI market, earnings & news intelligence

Scope: ai. Probabilistic interpretation only — never presented as a guaranteed outcome.

AI Market Intelligence

Synthesizes market data, macro, fundamentals, options, order flow, news, positioning, volatility and seasonality.

  • Outputs: market summary, market/risk/liquidity/macro/volatility regime
  • Key catalysts & cross-asset relationships
  • Anomalies & risk factors
  • Relevant news & historical analogues

AI Earnings Analysis

  • Bullish & bearish factors, key changes
  • Guidance interpretation & management sentiment
  • Important quotes & risk factors
  • Historical market reaction to earnings

AI News Intelligence

  • Event detection & impact classification
  • Structured, cross-asset catalyst summaries
  • Probabilistic language — never a guaranteed outcome

Disclosure Principle

Every AI response distinguishes three layers, always labeled explicitly in the response payload.

  • Raw data — sourced directly from market/macro feeds
  • Calculated analytics — deterministic transformations (volatility, correlation, etc.)
  • AI interpretation — probabilistic, model-generated commentary, not a prediction of outcomes
05 — API Infrastructure

Developer platform, documentation & enterprise operations

Core API Infrastructure

  • REST API & WebSocket API
  • Streaming & batch requests
  • Historical queries, pagination, filtering, aggregation
  • Compression
  • Formats: JSON, CSV, Parquet

Developer Platform

  • API keys & secret keys
  • Key rotation & revocation
  • Granular permissions per key
  • IP allowlisting
  • Configurable rate limits
  • Usage analytics, request logs, error logs
  • Webhooks
  • Sandbox & production environments

Documentation & SDKs

Full reference: Introduction, Authentication, Quick Start, REST, WebSocket, Market Data, Historical Data, Futures, Options, Fundamentals, Macro, News, Economic Calendar, Risk, AI, Errors, Rate Limits, SDKs, Examples.

  • Code examples in Python, JavaScript, TypeScript, cURL, C#, Java

Data Quality

Every dataset exposes quality metadata.

  • Timestamp, source, exchange, data type
  • Update frequency, data status, last update, quality status
  • Validation, duplicate & outlier detection
  • Timestamp validation & stale-data detection
  • Feed monitoring & data-gap detection

Infrastructure Monitoring

  • API & WebSocket uptime
  • Data feed status
  • Latency — p50, p95, p99
  • Requests/sec & active connections
  • Error rate & data freshness

Licensing System

Perpetual, one-time payment — see full details on the pricing page.

  • License ID, customer, data package, API permissions
  • Request & WebSocket limits, historical access
  • Redistribution rights isolated from the core software license
  • Number of users/applications, license status

Enterprise

Custom one-time agreement layered on top of the Institutional License.

  • Multi-user & RBAC, audit logs, IP allowlisting
  • Dedicated infrastructure & environment
  • Custom datasets & feeds, custom rate limits
  • Data redistribution, white-label API
  • SLA, priority support, custom integrations
Coverage is illustrative. Endpoints on this platform currently return sandbox/mock data so you can validate integration shape ahead of production data licensing — see the API reference for the endpoints that are live today.