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ApexVol Options Analytics

Options analytics for AI assistants: chains, IV rank, VRP, Greeks, GEX, expected moves, screeners.

Connector by ryansilk · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)Remote (HTTP)★ 2
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Install

Works with Claude Code, VS Code, Codex, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/ryansilk-apexvol-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Remote endpoint

  • https://apexvol.com/mcp-server Remote (HTTP)

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About

Options analytics for AI assistants: chains, IV rank, VRP, Greeks, GEX, expected moves, screeners.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list, install config and code. Checked Oct 26, 2026.

Tools
39 read · 2 write · 0 delete · 3 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
None found
Runs as
Python package

Tools by what they do 44

Read from the source code; the running server may list different tools.

Read 39 · Look things up without changing anything.

  • analyze_earnings_history
  • analyze_strategy
  • calculate_expected_move
  • calculate_portfolio_greeks
  • calculate_probability_of_profit
  • find_iv_opportunities
  • get_charm_exposure
  • get_cross_index_gex
  • get_earnings_calendar
  • get_earnings_move_analysis
  • get_economic_calendar
  • get_expirations
Show 27 more tools
  • get_gex
  • get_greeks_heatmap
  • get_hedge_recommendations
  • get_historical_chain
  • get_iv_rank
  • get_market_overview
  • get_max_pain
  • get_monies_surface
  • get_options_by_delta
  • get_options_chain
  • get_options_flow
  • get_orats_cores
  • get_smart_money_flow
  • get_stock_price
  • get_term_structure
  • get_third_order_greeks
  • get_ticker_analytics
  • get_vix_snapshot
  • get_volatility_cone
  • get_volatility_risk_premium
  • get_volume_profile
  • get_zero_dte
  • help
  • optimize_strategy
  • scan_relative_value
  • scan_volatility_arb
  • search_tickers

Write 2 · Create, change, send or run things.

  • build_strategy
  • generate_stress_tests

Not yet classified 3 · We could not tell from the name and description.

  • run_scenario_analysis
  • screen_market
  • simulate_option_chain

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • APEXVOL_API_TOKEN

Network hosts it talks to 2

  • apexvol.com · found in remote endpoint, install command, code
  • github.com · found in code

Tools (44)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_earnings_history

    Analyze historical earnings moves for a stock. Shows how the stock has moved on past earnings announcements, compared to the expected move implied by options. Use this tool when the user asks about: - Historical earnings moves - Past earnings reactions - Beat/miss patterns - Options pricing accuracy Args: ticker: Stock symbol Returns: Historical earnings move analysis

  • analyze_strategy

    Analyze a custom options strategy. Calculates full P&L profile, Greeks, probability of profit, and risk metrics for a custom strategy. Use this tool when the user asks about: - Analyzing a specific trade - Strategy P&L profile - Greeks for a position Args: ticker: Stock symbol legs: Strategy legs in format "BUY 1 C 150, SELL 1 C 155" Returns: Full analysis with P&L, Greeks, and probabilities

  • build_strategy

    Build an options strategy with optimal parameters. Supports various strategy types and automatically selects strikes based on target delta or other criteria. Strategy types: iron_condor, credit_spread, debit_spread, straddle, strangle, butterfly, calendar Use this tool when the user asks about: - Building a specific strategy - Iron condor, credit spread, etc. - Strategy construction Args: ticker: Stock symbol strategy_type: Type of strategy (iron_condor, credit_spread, etc.) expiration: Target expiration or None for nearest monthly width: Strike width for spreads in dollars…

  • calculate_expected_move

    Calculate the expected move based on ATM straddle pricing. The expected move represents the market's implied price range through the expiration date, derived from options pricing. Use this tool when the user asks about: - Expected move or implied move - How much a stock might move - Options-implied price range - Event risk pricing Args: ticker: Stock symbol expiration: Specific expiration or None for nearest tickers: Comma-separated list of up to 25 symbols ("SPY,AAPL,NVDA") for one batch call; `ticker` is ignored and every symbol's move comes back in one table. …

  • calculate_portfolio_greeks

    Calculate aggregate Greeks for a portfolio of positions. Takes a portfolio of options positions and calculates net delta, theta, and vega exposure plus a risk-level assessment. Use this tool when the user asks about: - Portfolio Greeks - Net delta/theta/vega - Position exposure Args: positions: JSON array of positions, e.g. '[{"ticker": "AAPL", "position_type": "STOCK", "quantity": 100, "current_price": 210}, {"ticker": "AAPL", "position_type": "CALL", "quantity": -2, "strike": 220, "expiration": "2026-08-21", "current_price": 4.10, "delta": 0.31, "theta": -8.2, "vega": 21.0}]'. Get opt…

  • calculate_probability_of_profit

    Calculate the probability of profit for a set of option legs. Uses N(d2)-based probabilities on the combined position payoff. Use this tool when the user asks about: - Probability of profit / PoP for a trade - Odds a spread or condor expires profitable Args: legs: JSON array of legs, e.g. '[{"option_type": "put", "action": "sell", "strike": 95, "iv": 32.5, "premium": 1.20, "quantity": 1}]' (iv accepts percent or decimal; premium is per share) stock_price: Current stock price days_to_exp: Days to expiration Returns: Probability of profit percentage

  • find_iv_opportunities

    Find IV mean reversion trading opportunities. Identifies when IV is statistically extreme (>2 std from mean) and suggests strategies to capture mean reversion. Use this tool when the user asks about: - Mean reversion opportunities - Extreme IV levels - When to sell/buy volatility - IV statistical analysis Args: ticker: Stock symbol z_score_threshold: Statistical threshold (default 2.0) Returns: Opportunity assessment with strategy recommendations

  • generate_stress_tests

    Run stress test scenarios on a portfolio. Tests portfolio under extreme market conditions like crashes, vol spikes, and rallies. Use this tool when the user asks about: - Stress testing - Crash scenarios - Worst-case analysis Args: positions: JSON array of positions, e.g. '[{"ticker": "AAPL", "position_type": "STOCK", "quantity": 100, "current_price": 210}, {"ticker": "AAPL", "position_type": "CALL", "quantity": -2, "strike": 220, "expiration": "2026-08-21", "current_price": 4.10, "delta": 0.31, "theta": -8.2, "vega": 21.0}]'. Get option Greeks from get_options_chain first. Plain text (…

  • get_charm_exposure

    Get charm (delta decay) exposure by strike. Charm measures how delta changes with time. High charm exposure indicates significant delta changes as time passes, affecting hedging flows. Use this tool when the user asks about: - Charm exposure - Delta decay - Time-based hedging flows Args: ticker: Stock symbol expiration: Specific expiration or None for nearest Returns: Charm exposure by strike

  • get_cross_index_gex

    Compare GEX across major indices. Shows gamma exposure comparison between SPY, QQQ, IWM, and other major indices to understand market-wide positioning. Use this tool when the user asks about: - Cross-index GEX comparison - Market-wide gamma positioning - Index relative GEX Args: tickers: Comma-separated tickers or None for defaults (SPY,QQQ,IWM,DIA) Returns: GEX comparison across indices

  • get_earnings_calendar

    Get upcoming earnings announcements. Shows companies reporting earnings in the upcoming period, including expected move implied by options pricing. Use this tool when the user asks about: - Upcoming earnings - What companies report this week - Earnings calendar Args: days_ahead: Number of days to look ahead (default 7) min_market_cap: Minimum market cap filter in billions Returns: List of upcoming earnings with expected moves

  • get_earnings_move_analysis

    Analyze how a stock moves around earnings and whether options misprice it. Pick via the `analysis` argument: - "mispricing" (default): IV rank + VRP + expected-vs-actual history combined into an over/underpriced assessment - "historical_moves": realized post-earnings moves over several horizons - "expected_vs_actual": straddle-implied expected move vs what actually happened - "verdict": combined buy/sell-the-straddle verdict for the next earnings - "seasonality": monthly/quarterly return and volatility seasonality - "post_drift": post-earnings drift statistics over recent quarters - "iv_cru…

  • get_economic_calendar

    Get the macro economic-event calendar (CPI, FOMC, jobs reports...). Use this tool when the user asks about: - Upcoming macro events or data releases - When the next CPI/FOMC/NFP is - Event risk beyond earnings Args: from_date: Start date YYYY-MM-DD (default today) to_date: End date YYYY-MM-DD (default ~1 week out) Returns: Economic events with dates and importance

  • get_expirations

    Get available expiration dates for a ticker. Returns a list of all available options expiration dates, useful for planning trades or understanding the term structure. Use this tool when the user asks about: - When options expire - Available expiration dates - Weekly vs monthly expirations Args: ticker: Stock symbol Returns: List of expiration dates

  • get_gex

    Get Gamma Exposure (GEX) levels and flip points. GEX measures the gamma exposure of market makers at each strike level. Positive GEX suggests dealer hedging will dampen moves (supportive). Negative GEX suggests dealer hedging will amplify moves (volatile). Use this tool when the user asks about: - Gamma exposure or GEX - Support and resistance from options - Dealer hedging levels - Market maker positioning Args: ticker: Stock symbol (e.g., "SPY", "QQQ") expiration: Specific expiration or None for aggregate aggregate: Whether to aggregate across all expirations tickers: Comma…

Show 29 more tools
  • get_greeks_heatmap

    Get Greeks visualization data across strikes and expirations. Returns a matrix of Greek values that can be visualized as a heatmap. Useful for understanding the Greek landscape across the chain. Use this tool when the user asks about: - Greeks across strikes - Delta/gamma/theta/vega heatmap - Greek distribution Args: ticker: Stock symbol greek: Which Greek to show ("delta", "gamma", "theta", "vega") option_type: "calls" or "puts" Returns: Heatmap matrix data with strikes and expirations

  • get_hedge_recommendations

    Get delta-hedge recommendations for a portfolio. Computes net portfolio delta and suggests a stock hedge plus an option-based alternative on the hedge ticker to reach the target delta. Recommendations are share-equivalent, not beta-weighted. Use this tool when the user asks about: - How to hedge a position or portfolio - Getting delta-neutral - Protective puts / reducing directional risk Args: positions: JSON array of positions, e.g. '[{"ticker": "AAPL", "position_type": "STOCK", "quantity": 100, "current_price": 210}, {"ticker": "AAPL", "position_type": "CALL", "quantity": -2, "strike"…

  • get_historical_chain

    Get the options chain as it looked on a past trading day (EOD snapshot). Historical chains go back years — see how an option was priced before an earnings event, through a selloff, or at any point in its life. Use this tool when the user asks about: - What an option was trading at on a past date - How a chain looked before/after an event - Backtesting entries against real historical quotes Args: ticker: Stock symbol expiration: Expiration date YYYY-MM-DD trade_date: The historical date to snapshot YYYY-MM-DD Returns: End-of-day chain snapshot for that date

  • get_iv_rank

    Get IV Rank and percentile for a stock. IV Rank shows where current implied volatility stands relative to its historical range. High IV Rank (>50) suggests elevated volatility, potentially favorable for selling premium. Low IV Rank (<30) suggests cheap options, potentially favorable for buying premium. Use this tool when the user asks about: - Whether options are expensive or cheap - IV rank or IV percentile - Historical volatility context - Premium selling/buying opportunities Args: ticker: Stock symbol (e.g., "AAPL", "SPY") lookback_days: Historical lookback period (default 252 = …

  • get_market_overview

    Get market-wide volatility overview. Shows aggregate volatility metrics across major indices and sectors, including VIX levels, put/call ratios, and GEX regime. Use this tool when the user asks about: - Market overview - Overall market volatility - VIX and market sentiment - Broad market positioning Returns: Market-wide volatility and positioning overview

  • get_max_pain

    Get the max pain strike for a ticker. Max pain is the strike where option holders lose the most at expiry (and writers keep the most premium) — often watched as a magnet level into expiration. Use this tool when the user asks about: - Max pain level - Where the stock might pin at expiration - Option-writer positioning Args: ticker: Stock symbol expiration: Expiration date YYYY-MM-DD (default: nearest) Returns: Max pain strike with the loss profile by strike

  • get_monies_surface

    Get the ORATS monies volatility surface for a ticker. - "implied" (default): the market's current smoothed vol surface - "forecast": ORATS's model-forecast surface - "comparison": implied vs forecast side by side — where the model disagrees with the market (potential rich/cheap spots) Use this tool when the user asks about: - The vol surface or smoothed IV by delta - Model-vs-market vol disagreement - Where IV looks rich or cheap across the surface Args: ticker: Stock symbol surface: "implied", "forecast", or "comparison" Returns: Monies surface rows per expiration

  • get_options_by_delta

    Find options at a specific delta. Useful for finding options at standard delta levels (e.g., 0.30 delta calls for covered calls, 0.16 delta puts for credit spreads). Use this tool when the user asks about: - Options at a specific delta - 30 delta calls or 20 delta puts - Finding strikes by delta Args: ticker: Stock symbol target_delta: Target delta (0.0 to 1.0, default 0.30) option_type: "call" or "put" expiration: Specific expiration or None for nearest Returns: Strike and option details at the target delta

  • get_options_chain

    Get the options chain for a ticker. Returns calls and puts with all Greeks, IV, volume, and open interest per strike. Defaults to the nearest expiration and the 20 strikes each side of the money — widen only when the analysis genuinely needs it. Use this tool when the user asks about: - Options prices for a stock - Call or put prices at specific strikes - Volume and open interest data - Full options chain information Args: ticker: Stock symbol (e.g., "AAPL", "SPY", "TSLA") expiration: Specific expiration date (YYYY-MM-DD); overrides num_expirations num_expirations: How many of t…

  • get_options_flow

    Analyze options flow and unusual activity for a ticker. Returns call/put volumes, premiums, and identifies unusual activity that may indicate institutional positioning. Use this tool when the user asks about: - Options flow or order flow - Call/put ratio - Unusual options activity - Large trades or sweeps Args: ticker: Stock symbol limit: Rows kept in the flow lists under compact detail (server default 25; 1 to 500). detail: "compact" (default) or "full" for every row. Returns: Flow analysis with volumes, premiums, and unusual activity

  • get_orats_cores

    Get raw ORATS "cores" analytics for a ticker — 340+ pre-computed fields. The deepest single call available: IV surface summary metrics, IV/HV history stats, term-structure slope/contango, earnings-move components, borrow rates, betas, percentiles, and more, straight from the data vendor. Use when the curated endpoints don't carry the specific field you need. Use this tool when the user asks about: - A specific ORATS field by name - Deep vendor-level analytics not in other tools - Bulk fundamentals+vol context for one ticker Args: ticker: Stock symbol fields: Comma-separated field na…

  • get_smart_money_flow

    Identify institutional/smart money options trades. Filters for large trades, sweeps, and block orders that may indicate informed positioning. Use this tool when the user asks about: - Smart money or institutional flow - Large options trades - Block trades or sweeps - Whale activity Args: ticker: Stock symbol Returns: Smart money flow patterns and significant trades

  • get_stock_price

    Get the current stock price and basic company stats. Returns the price plus sector, market cap, one-year beta and the next earnings date when the feed carries one. Use this tool when the user asks about: - Current stock price - Company information (sector, market cap, beta, next earnings) Args: ticker: Stock symbol Returns: Current price and company information

  • get_term_structure

    Get IV term structure across all expirations. Shows how implied volatility varies across different expiration dates. Contango (upward slope) is normal; backwardation suggests near-term event risk. Use this tool when the user asks about: - Term structure of volatility - Calendar spread opportunities - Event-driven vol bumps - Contango vs backwardation Args: ticker: Stock symbol Returns: Term structure data by expiration

  • get_third_order_greeks

    Get third-order Greeks: Speed, Zomma, Color, Vomma, Ultima. These advanced Greeks measure higher-order sensitivities: - Speed: Rate of change of gamma - Zomma: Gamma sensitivity to volatility - Color: Gamma sensitivity to time - Vomma: Vega sensitivity to volatility - Ultima: Vomma sensitivity to volatility Use this tool when the user asks about: - Third-order Greeks - Speed, zomma, color - Advanced Greeks analysis Args: ticker: Stock symbol expiration: Specific expiration or None for nearest Returns: Third-order Greeks data

  • get_ticker_analytics

    Get a specific per-ticker analytics view. One tool, eight analyses — pick via the `analysis` argument: - "skew": put/call IV skew (view: "analysis" default, "history", "curvature") - "dividends": dividend history, yield, and ex-date behavior - "borrow_rate": stock borrow cost / hard-to-borrow signals (short-squeeze context) - "correlation": correlation and beta vs SPY and sector; pass compare_with to get the pairwise correlation vs another ticker instead - "hv_regimes": historical volatility regimes (view: "dashboard" default, "signals", "decomposition", "ex_earnings") - "price_context": …

  • get_vix_snapshot

    Get the current VIX snapshot: level, change, and term-structure state. Use this tool when the user asks about: - The VIX or overall market fear level - Whether index vol is elevated or calm - Vol regime context before a trade Returns: VIX level, change, and context

  • get_volatility_cone

    Get volatility cone comparing current IV to historical realized volatility. The volatility cone shows the historical distribution of realized volatility at different time horizons, allowing comparison with current implied volatility. This helps identify if options are over/underpriced relative to historical moves. Use this tool when the user asks about: - IV vs realized volatility comparison - Volatility cone analysis - Historical volatility distribution - Whether options are fairly priced Args: ticker: Stock symbol periods: Comma-separated periods in days (default "10,20,30,60,90")…

  • get_volatility_risk_premium

    Calculate the volatility risk premium (IV minus realized volatility). VRP measures the spread between implied and realized volatility. Positive VRP means options are pricing in more volatility than actually occurs - favorable for sellers. Negative VRP means options are cheap relative to actual moves. Use this tool when the user asks about: - Volatility risk premium or VRP - IV vs RV spread - Whether to sell or buy volatility - Premium edge assessment Args: ticker: Stock symbol lookback_days: Days for realized vol calculation (default 30) view: "current" (snapshot), "timeseries" …

  • get_volume_profile

    Get the option volume and open-interest profile by strike. Shows where volume and OI concentrate across strikes — support/ resistance implied by positioning, plus notable OI changes. Use this tool when the user asks about: - Where the open interest sits - Volume by strike - OI-implied support and resistance Args: ticker: Stock symbol expiration: Expiration date YYYY-MM-DD (default: nearest) Returns: Per-strike volume/OI profile

  • get_zero_dte

    Get 0DTE (same-day expiration) analytics for a ticker. Includes 0DTE gamma exposure, gamma flip level, max pain, theta decay projection, and the chain for today's expiration. Only meaningful for tickers with daily expirations (SPY, QQQ, SPX...) on trading days. Use this tool when the user asks about: - 0DTE setups or same-day options - Intraday gamma/pinning levels - Today's expiration chain Args: ticker: Stock symbol with 0DTE listings (e.g., "SPY") strikes_around: Strikes kept each side of spot in by_strike and chain_table (server default 15); 0 keeps every strike. det…

  • help

    Look up the ApexVol tool or endpoint that answers a question, before calling it. Reads a bundled copy of the API reference: no network call, no market-data cost, works before a token is configured. Use this tool when: - You are not sure which tool returns a number (IV rank, dealer gamma, expected move, borrow rate) - You need an endpoint's parameters, units, basis, fields or plan - You want the starter prompts for a data family - A call failed with 403 or 404 and you want the documented shape Args: topic: None for the overview (families, counts, how to ask); a tool name ("get_i…

  • optimize_strategy

    Find optimal strikes for a strategy type. Optimizes strike selection based on target criteria like max credit, best risk/reward, or target probability. Use this tool when the user asks about: - Best strikes for a strategy - Optimal iron condor strikes - Maximizing credit or probability Args: ticker: Stock symbol strategy_type: Type of strategy target: Optimization target (credit, risk_reward, probability) Returns: Optimized strategy parameters

  • run_scenario_analysis

    Run what-if scenario analysis on a portfolio. Shows how portfolio value changes under different market conditions (linear delta/vega/theta approximation). Use this tool when the user asks about: - What-if scenarios - Portfolio P&L under different conditions - Price/vol sensitivity Args: positions: JSON array of positions, e.g. '[{"ticker": "AAPL", "position_type": "STOCK", "quantity": 100, "current_price": 210}, {"ticker": "AAPL", "position_type": "CALL", "quantity": -2, "strike": 220, "expiration": "2026-08-21", "current_price": 4.10, "delta": 0.31, "theta": -8.2, "vega": 21.0}]'. Get …

  • scan_relative_value

    Market-wide relative-value scans. - "mean_reversion" (default): tickers whose IV/SPY ratio is stretched vs its own 1-year average — rich or cheap vol candidates - "pairs": rich-vs-cheap ticker pairs for pairs trading Args: view: "mean_reversion" or "pairs" limit: Max results (1-50) threshold: Z-score threshold for mean_reversion (default 1.5) Returns: Scan results ranked by stretch

  • scan_volatility_arb

    Scan for cross-index volatility arbitrage opportunities. Identifies when implied volatility relationships between correlated assets are mispriced, creating potential arbitrage opportunities. Use this tool when the user asks about: - Volatility arbitrage - Cross-asset vol relationships - Vol dislocations - Relative value opportunities Returns: Volatility arbitrage opportunities across indices

  • screen_market

    Screen the market for trading opportunities. Preset screens run against the full ~6,000-ticker universe using bulk data (cheap on quota). Pass screen_type="list" to fetch the catalog. Screen types: - high_iv_rank / low_iv_rank: elevated or depressed IV vs 1-year range - high_vrp: IV rich vs realized — premium-selling edge - earnings_this_week: reporting in the next 7 days - high_skew: elevated put skew (hedging demand / fear) - steep_contango: large front-to-back IV spread (calendar spreads) - mean_reversion: IV/SPY ratio stretched vs its 1-year average - vol_pairs: rich-vs-cheap ticker pair…

  • search_tickers

    Search or validate tickers against the platform's coverage universe. Use before deep analysis when unsure a symbol is supported, or to resolve a company name to its ticker. Args: query: Symbol or company-name fragment (e.g. "NVDA" or "nvidia") limit: Max matches to return (1-20) Returns: Ranked matches plus exact-match/supported flags

  • simulate_option_chain

    Re-price an options chain at a hypothetical stock price, DTE, and IV shift. Black-Scholes "what-if" for the whole chain: what would these options be worth if the stock were at X, with Y days left, and IV up/down Z%? Use this tool when the user asks about: - What an option would be worth if the stock moves - How theta decay reshapes the chain over time - IV crush / IV spike what-ifs Args: ticker: Stock symbol (server fetches the current chain) sim_price: Hypothetical stock price sim_dte: Days to expiration to simulate (0 = at expiry) iv_adjustment: IV shift in percent, -50 to…

Signals

Stars
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Forks
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Open issues
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Weekly downloads
36
Last commit
Oct 9, 2026 (20 days ago)
Last release
Sep 9, 2026 (1 month ago)
Last package publish
Sep 9, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.ryansilk/apexvol-mcp
Version
0.1.4
Auth
Auth not stated, API key
Packages
pypi apexvol-mcp
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Cite this page

ApexVol Options Analytics MCP server. Agent Mart. https://agentmart.dev/connectors/ryansilk-apexvol-mcp (last updated 2026-10-24)