Cboe Options Greeks Data Live
Pricing
Pay per usage
Cboe Options Greeks Data Live
nstitutional intelligence actor extracting live and historical OHLCV Candlesticks, strike-by-strike Open Interest & Volume distributions, and analytical Black-Scholes Greeks for US Equities, Indices, and ETFs (SPY, QQQ, AAPL, NVDA, TSLA, etc.)
Pricing
Pay per usage
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Developer
khalid naami
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23 days ago
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CBOE Options Greeks & Candlesticks Intelligence Actor
An institutional-grade Apify Actor engineered to extract real-time and historical OHLCV Candlesticks, comprehensive Strike-by-Strike Open Interest & Volume distributions, and Full Analytical Primary & Higher-Order Greeks for any US Equity, Index, or ETF traded on the CBOE / OPRA exchanges (e.g., SPY, QQQ, AAPL, NVDA, TSLA, MSFT, AMZN, META, AMD, IWM, GLD, DIA).
🌟 Key Features
-
Real-Time & Historical OHLCV Candlesticks:
- High-fidelity price action series across multiple granularities (
1d,1h,15m,5m). - Open, High, Low, Close, Volume history for technical analysis and spot context.
- High-fidelity price action series across multiple granularities (
-
Strike-Level Open Interest & Volume Profiling:
- Detailed strike-by-strike breakdown for Call OI, Put OI, Net OI ($OI_{call} - OI_{put}$), Call Volume, Put Volume, Net Volume ($Vol_{call} - Vol_{put}$).
- Aggregate Put-Call Ratios for Open Interest and Volume per expiration cycle.
-
Complete Primary & Higher-Order Options Greeks:
- Delta ($\Delta$): First-order directional sensitivity to underlying spot price changes.
- Gamma ($\Gamma$): Second-order sensitivity (rate of change of Delta per $1 spot move).
- Vega ($\nu$): Sensitivity to implied volatility changes (per 1% IV shift).
- Theta ($\Theta$): Daily time decay.
- Vanna ($\frac{\partial\Delta}{\partial\sigma}$): Cross-derivative measuring Delta sensitivity to volatility changes.
- Charm ($\frac{\partial\Delta}{\partial t}$): Rate of Delta decay over time (Delta decay / DDeltaDTime).
- Speed ($\frac{\partial\Gamma}{\partial S}$): Third-order derivative measuring Gamma sensitivity to spot changes.
- Vomma ($\frac{\partial\nu}{\partial\sigma}$): Volga / volatility of Vega (Vega sensitivity to implied volatility).
- Color ($\frac{\partial\Gamma}{\partial t}$): Gamma decay over time (DGammaDTime).
-
Breakeven & Midpoint Pricing:
- Accurate Bid/Ask midpoint evaluation and expiration breakeven levels ($\text{Strike} + \text{Call Mid}$, $\text{Strike} - \text{Put Mid}$).
📥 Input Schema
| Parameter | Type | Default | Description |
|---|---|---|---|
tickers | array | ["SPY", "QQQ", "AAPL"] | List of US equity/ETF tickers to analyze. |
candlestickResolution | string | "1d" | Bar interval for underlying candlesticks (5m, 15m, 1h, 1d). |
candlestickDays | integer | 30 | Number of days of historical OHLCV candlesticks to fetch (2-365). |
maxExpirationsPerTicker | integer | 3 | Maximum number of upcoming expiration cycles per ticker (1-12). |
riskFreeRate | number | 0.045 | Annualized risk-free interest rate (e.g., 0.045 for 4.5%). |
includeCandlesticks | boolean | true | Include OHLCV price action series in output. |
includeOiVolumeTable | boolean | true | Include strike-level OI & Volume distribution. |
includeFullGreeksTable | boolean | true | Include full Primary & Higher-Order Greeks. |
Example Input (INPUT.json)
{"tickers": ["SPY", "NVDA", "TSLA"],"candlestickResolution": "1d","candlestickDays": 30,"maxExpirationsPerTicker": 3,"riskFreeRate": 0.045,"includeCandlesticks": true,"includeOiVolumeTable": true,"includeFullGreeksTable": true}
📤 Output Structure
1. Default Dataset (Tabular Records)
Each item in the dataset corresponds to a single strike option contract across expirations:
{"ticker": "SPY","underlyingPrice": 574.82,"expirationDate": "2026-10-16","daysToExpiration": 16,"strike": 575.0,"callMidPrice": 6.85,"putMidPrice": 6.92,"impliedVolatilityPct": 14.85,"callDelta": 0.5098,"putDelta": -0.4902,"gamma": 0.021542,"vega": 0.7842,"callTheta": -0.1984,"putTheta": -0.1762,"vanna": 0.003412,"charmCall": 0.004125,"speed": -0.00003512,"vomma": 0.004512,"color": -0.00045218,"callOpenInterest": 14520,"putOpenInterest": 18230,"netOpenInterest": -3710,"callVolume": 4210,"putVolume": 5890,"netVolume": -1680,"callBreakeven": 581.85,"putBreakeven": 568.08}
2. Key-Value Store (OUTPUT)
The Key-Value store contains a structured summary payload with candles, expiration summaries, and strike arrays:
{"status": "SUCCESS","timestamp": "2026-09-30T23:20:00Z","tickersCount": 3,"totalStrikesAnalyzed": 642,"tickers": ["SPY", "NVDA", "TSLA"],"data": [{"ticker": "SPY","underlyingPrice": 574.82,"dividendYieldPct": 1.25,"candlesticksCount": 30,"candlesticks": [ ... ],"expirationsEvaluated": 3,"expirations": [{"expirationDate": "2026-10-16","daysToExpiration": 16,"strikesCount": 214,"totalCallOpenInterest": 352100,"totalPutOpenInterest": 489200,"netOpenInterest": -137100,"putCallRatioOI": 1.39,"totalCallVolume": 85400,"totalPutVolume": 112300,"netVolume": -26900,"putCallRatioVolume": 1.31,"strikes": [ ... ]}]}]}
🧮 Greeks Calculation Formulas
The Actor utilizes continuous dividend yield Black-Scholes analytical formulations:
$$d_1 = \frac{\ln(S/K) + (r - q + 0.5\sigma^2)T}{\sigma\sqrt{T}}, \quad d_2 = d_1 - \sigma\sqrt{T}$$
- Call Delta: $\Delta_C = e^{-qT} N(d_1)$
- Put Delta: $\Delta_P = -e^{-qT} N(-d_1)$
- Gamma: $\Gamma = \frac{e^{-qT} \phi(d_1)}{S \sigma \sqrt{T}}$
- Vega: $\nu = \frac{S e^{-qT} \phi(d_1) \sqrt{T}}{100}$
- Vanna: $\frac{\partial\Delta}{\partial\sigma} = -e^{-qT} \phi(d_1) \frac{d_2}{\sigma}$
- Speed: $\frac{\partial\Gamma}{\partial S} = -\frac{\Gamma}{S} \left(\frac{d_1}{\sigma\sqrt{T}} + 1\right)$
- Vomma: $\frac{\partial\nu}{\partial\sigma} = \frac{\nu \cdot d_1 d_2}{\sigma}$
- Charm: $\frac{\partial\Delta}{\partial t} = q e^{-qT} N(d_1) - e^{-qT} \phi(d_1) \left[\frac{2(r-q)T - d_2 \sigma \sqrt{T}}{2T \sigma \sqrt{T}}\right]$
- Color: $\frac{\partial\Gamma}{\partial t} = -\Gamma \left[\frac{r-q}{\sigma\sqrt{T}} + \frac{1 - d_1 d_2}{2T}\right]$
💼 Institutional Use Cases
- Systematic Volatility Arbitrage: Identify mispriced options contracts relative to realized volatility.
- Delta Hedging & Dynamic Portfolio Rebalancing: Automate Greeks exposure tracking across stock & ETF options.
- Dealer Positioning & Liquidity Profiling: Track strike-level Gamma, Vanna, and Charm imbalances to anticipate market maker hedging flows.
- Market Sentiment & Hedging Flow: Monitor Put-Call Open Interest and Volume ratios across key US equities and benchmark indices.
📜 License
MIT License. Designed for quantitative researchers, hedge funds, algorithmic traders, and financial engineers.