# Modern Portfolio Theory ⎊ Term **Published:** 2026-03-09 **Author:** Greeks.live **Categories:** Term --- ![A sleek, curved electronic device with a metallic finish is depicted against a dark background. A bright green light shines from a central groove on its top surface, highlighting the high-tech design and reflective contours](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-trading-microstructure-low-latency-execution-venue-live-data-feed-terminal.webp) ![Abstract, smooth layers of material in varying shades of blue, green, and cream flow and stack against a dark background, creating a sense of dynamic movement. The layers transition from a bright green core to darker and lighter hues on the periphery](https://term.greeks.live/wp-content/uploads/2025/12/complex-layered-structure-visualizing-crypto-derivatives-tranches-and-implied-volatility-surfaces-in-risk-adjusted-portfolios.webp) ## Essence **Modern Portfolio Theory** functions as the mathematical framework for asset allocation under conditions of uncertainty. It posits that an investor can construct an efficient frontier of portfolios offering the maximum expected return for a defined level of risk. By diversifying holdings across assets with low correlation, participants reduce idiosyncratic volatility without sacrificing potential upside. > Modern Portfolio Theory defines risk as the standard deviation of portfolio returns and seeks to optimize capital allocation accordingly. In decentralized markets, this concept translates into managing liquidity across disparate protocols. Instead of focusing on single token performance, the architect evaluates how varied yield-bearing instruments, derivative positions, and collateral types interact. The objective remains the reduction of variance through strategic exposure to uncorrelated crypto-assets. ![A layered structure forms a fan-like shape, rising from a flat surface. The layers feature a sequence of colors from light cream on the left to various shades of blue and green, suggesting an expanding or unfolding motion](https://term.greeks.live/wp-content/uploads/2025/12/visualizing-exotic-derivatives-and-layered-synthetic-assets-in-defi-composability-and-strategic-risk-management.webp) ## Origin Harry Markowitz introduced this analytical architecture in 1952, shifting the focus from individual security selection to portfolio-wide statistical properties. The foundational innovation involved quantifying risk through variance and covariance, allowing for the formal modeling of diversification benefits. - **Mean-Variance Optimization** provides the mathematical basis for selecting weights that minimize portfolio volatility. - **Efficient Frontier** represents the set of optimal portfolios offering the highest return for each level of risk. - **Capital Asset Pricing Model** extended these principles to explain how market participants price risk relative to systemic factors. These historical roots inform current decentralized finance strategies. The transition from traditional equities to digital assets requires adjusting for unique protocol risks and non-linear volatility structures inherent in blockchain networks. ![A complex 3D render displays an intricate mechanical structure composed of dark blue, white, and neon green elements. The central component features a blue channel system, encircled by two C-shaped white structures, culminating in a dark cylinder with a neon green end](https://term.greeks.live/wp-content/uploads/2025/12/synthetic-asset-creation-and-collateralization-mechanism-in-decentralized-finance-protocol-architecture.webp) ## Theory The mathematical rigor of **Modern Portfolio Theory** relies on the assumption that asset returns follow a joint distribution characterized by expected returns and covariance. In the crypto domain, this requires sophisticated modeling of fat-tailed distributions, as standard normal distributions frequently underestimate extreme market movements. ![A 3D rendered image features a complex, stylized object composed of dark blue, off-white, light blue, and bright green components. The main structure is a dark blue hexagonal frame, which interlocks with a central off-white element and bright green modules on either side](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-options-protocol-collateralization-architecture-for-risk-adjusted-returns-and-liquidity-provision.webp) ## Quantitative Risk Sensitivity Risk management necessitates a granular understanding of the Greeks. Delta, gamma, vega, and theta represent the sensitivity of derivative positions to underlying asset movements, volatility shifts, and time decay. | Risk Metric | Systemic Impact | | --- | --- | | Delta | Directional exposure management | | Gamma | Rate of change in directional risk | | Vega | Sensitivity to volatility regimes | | Theta | Impact of time passage on value | > The strength of a portfolio rests on the negative correlation between assets during high-stress liquidity events. The interaction between protocol physics and market microstructure introduces complexities not present in traditional finance. Smart contract risk, oracle failures, and cross-chain bridge vulnerabilities constitute structural risks that fall outside standard covariance matrices. ![The image displays an exploded technical component, separated into several distinct layers and sections. The elements include dark blue casing at both ends, several inner rings in shades of blue and beige, and a bright, glowing green ring](https://term.greeks.live/wp-content/uploads/2025/12/visualizing-layered-financial-derivative-tranches-and-decentralized-autonomous-organization-protocols.webp) ## Approach Current strategies employ algorithmic rebalancing to maintain target risk exposures across decentralized exchanges and lending platforms. Automated market makers and yield aggregators function as the infrastructure for executing these rebalancing operations with minimal slippage. ![A detailed 3D render displays a stylized mechanical module with multiple layers of dark blue, light blue, and white paneling. The internal structure is partially exposed, revealing a central shaft with a bright green glowing ring and a rounded joint mechanism](https://term.greeks.live/wp-content/uploads/2025/12/quant-driven-infrastructure-for-dynamic-option-pricing-models-and-derivative-settlement-logic.webp) ## Systemic Leverage Management Participants monitor liquidation thresholds across multiple venues to ensure solvency during volatility spikes. This requires constant observation of order flow and liquidity depth. - **Cross-Protocol Collateralization** allows for the efficient use of capital across decentralized lending markets. - **Volatility Hedging** involves using options to mitigate tail risk while maintaining long-term exposure to digital assets. - **Liquidity Provisioning** provides a mechanism for earning yield while participating in the market-making process. Market participants now utilize on-chain data to forecast structural shifts in liquidity. This data-driven approach replaces static allocation models with dynamic frameworks that adapt to changing network conditions and incentive structures. ![The abstract digital rendering features several intertwined bands of varying colors ⎊ deep blue, light blue, cream, and green ⎊ coalescing into pointed forms at either end. The structure showcases a dynamic, layered complexity with a sense of continuous flow, suggesting interconnected components crucial to modern financial architecture](https://term.greeks.live/wp-content/uploads/2025/12/interoperable-layer-2-scaling-solution-architecture-for-high-frequency-algorithmic-execution-and-risk-stratification.webp) ## Evolution The transition from simple asset holding to complex derivative-based strategies reflects the maturation of decentralized markets. Early iterations focused on basic diversification, whereas current implementations utilize sophisticated hedging and leverage strategies. > Dynamic portfolio management requires constant adjustment of hedge ratios as market conditions shift across protocols. This evolution tracks the development of margin engines and perpetual swap protocols. The ability to express directional views and volatility bets has transformed how capital is allocated. The shift towards institutional-grade tooling, such as decentralized option vaults, enables more precise control over risk parameters. ![A 3D abstract rendering displays several parallel, ribbon-like pathways colored beige, blue, gray, and green, moving through a series of dark, winding channels. The structures bend and flow dynamically, creating a sense of interconnected movement through a complex system](https://term.greeks.live/wp-content/uploads/2025/12/automated-market-maker-algorithm-pathways-and-cross-chain-asset-flow-dynamics-in-decentralized-finance-derivatives.webp) ## Horizon Future developments in **Modern Portfolio Theory** will incorporate cross-chain interoperability and decentralized identity to refine risk assessment. As institutional capital enters the space, the demand for transparent, audit-ready portfolio structures will increase. | Emerging Trend | Financial Implication | | --- | --- | | Modular Protocol Design | Enhanced composability and risk isolation | | Predictive Volatility Modeling | Improved pricing of tail-risk derivatives | | Automated Risk Mitigation | Real-time adjustment of leverage ratios | The integration of advanced quantitative models with decentralized infrastructure will define the next cycle. The ultimate goal is the creation of resilient, self-optimizing financial systems that function without reliance on centralized intermediaries. ## Glossary ### [Portfolio Rebalancing Strategies](https://term.greeks.live/area/portfolio-rebalancing-strategies/) Strategy ⎊ Portfolio rebalancing strategies define the rules for when and how to adjust asset allocations to maintain a target risk level. ### [Value Accrual Models](https://term.greeks.live/area/value-accrual-models/) Mechanism ⎊ Value accrual models define how a cryptocurrency protocol captures economic value and distributes it to token holders or liquidity providers. ### [Tactical Asset Allocation](https://term.greeks.live/area/tactical-asset-allocation/) Asset ⎊ Tactical Asset Allocation within cryptocurrency, options, and derivatives represents a dynamic recalibration of portfolio weights based on evolving risk-return profiles across these asset classes. ### [Asset Pricing Models](https://term.greeks.live/area/asset-pricing-models/) Model ⎊ Asset Pricing Models in this domain represent the quantitative frameworks used to derive the theoretical fair value of crypto options and other financial derivatives, moving beyond simple Black-Scholes assumptions to incorporate factors like stochastic volatility and jump diffusion inherent in digital asset markets. ### [Strategic Asset Allocation](https://term.greeks.live/area/strategic-asset-allocation/) Allocation ⎊ This long-term planning process determines the target percentage weighting of capital across distinct asset classes, now including cryptocurrencies and their associated derivatives. ### [Asset Liability Management](https://term.greeks.live/area/asset-liability-management/) Balance ⎊ Asset liability management (ALM) in crypto finance focuses on balancing a firm's assets, such as collateral holdings and investment positions, against its liabilities, which include outstanding loans, derivative obligations, and funding costs. ### [Financial Data Analysis](https://term.greeks.live/area/financial-data-analysis/) Analysis ⎊ ⎊ Financial data analysis within cryptocurrency, options, and derivatives focuses on extracting actionable intelligence from complex, high-frequency datasets to inform trading and risk management decisions. ### [Hedging Techniques](https://term.greeks.live/area/hedging-techniques/) Strategy ⎊ ⎊ These involve the deliberate construction of offsetting positions using derivatives to neutralize or reduce specific portfolio exposures, such as directional risk or volatility exposure. ### [Dynamic Asset Allocation](https://term.greeks.live/area/dynamic-asset-allocation/) Asset ⎊ Dynamic Asset Allocation, within the context of cryptocurrency, options trading, and financial derivatives, represents a sophisticated investment strategy centered on actively adjusting portfolio holdings based on evolving market conditions and anticipated future outcomes. ### [Macro-Crypto Correlation](https://term.greeks.live/area/macro-crypto-correlation/) Correlation ⎊ Macro-Crypto Correlation quantifies the statistical relationship between the price movements of major cryptocurrency assets and broader macroeconomic variables, such as interest rates, inflation data, or traditional equity indices. ## Discover More ### [Arbitrage Opportunities](https://term.greeks.live/definition/arbitrage-opportunities/) ![A symmetrical object illustrates a decentralized finance algorithmic execution protocol and its components. The structure represents core smart contracts for collateralization and liquidity provision, essential for high-frequency trading. The expanding arms symbolize the precise deployment of perpetual swaps and futures contracts across decentralized exchanges. Bright green elements represent real-time oracle data feeds and transaction validations, highlighting the mechanism's role in volatility indexing and risk assessment within a complex synthetic asset framework. The design evokes efficient, automated risk management strategies.](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-execution-protocol-for-decentralized-futures-volatility-hedging-and-synthetic-asset-collateralization.webp) Meaning ⎊ Risk-free profit gained by exploiting price discrepancies of the same asset across different exchanges or markets. ### [Portfolio Gamma Exposure](https://term.greeks.live/term/portfolio-gamma-exposure/) ![A high-resolution abstract visualization illustrating the dynamic complexity of market microstructure and derivative pricing. The interwoven bands depict interconnected financial instruments and their risk correlation. The spiral convergence point represents a central strike price and implied volatility changes leading up to options expiration. The different color bands symbolize distinct components of a sophisticated multi-legged options strategy, highlighting complex relationships within a portfolio and systemic risk aggregation in financial derivatives.](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-visualization-of-risk-exposure-and-volatility-surface-evolution-in-multi-legged-derivative-strategies.webp) Meaning ⎊ Portfolio Gamma Exposure is the aggregate second derivative of an options book, quantifying portfolio convexity and the required velocity of delta adjustment during price movements. ### [Cryptographic Value Transfer](https://term.greeks.live/term/cryptographic-value-transfer/) ![A multi-layered concentric ring structure composed of green, off-white, and dark tones is set within a flowing deep blue background. This abstract composition symbolizes the complexity of nested derivatives and multi-layered collateralization structures in decentralized finance. The central rings represent tiers of collateral and intrinsic value, while the surrounding undulating surface signifies market volatility and liquidity flow. This visual metaphor illustrates how risk transfer mechanisms are built from core protocols outward, reflecting the interplay of composability and algorithmic strategies in structured products. The image captures the dynamic nature of options trading and risk exposure in a high-leverage environment.](https://term.greeks.live/wp-content/uploads/2025/12/a-multi-layered-collateralization-structure-visualization-in-decentralized-finance-protocol-architecture.webp) Meaning ⎊ Cryptographic Value Transfer enables the instantaneous, permissionless settlement of digital assets through decentralized, code-enforced protocols. ### [Covered Call Strategies](https://term.greeks.live/term/covered-call-strategies/) ![An abstract visualization of non-linear financial dynamics, featuring flowing dark blue surfaces and soft light that create undulating contours. This composition metaphorically represents market volatility and liquidity flows in decentralized finance protocols. The complex structures symbolize the layered risk exposure inherent in options trading and derivatives contracts. Deep shadows represent market depth and potential systemic risk, while the bright green opening signifies an isolated high-yield opportunity or profitable arbitrage within a collateralized debt position. The overall structure suggests the intricacy of risk management and delta hedging in volatile market conditions.](https://term.greeks.live/wp-content/uploads/2025/12/nonlinear-price-action-dynamics-simulating-implied-volatility-and-derivatives-market-liquidity-flows.webp) Meaning ⎊ A covered call strategy generates yield by selling call options against a long asset position, capping upside potential in exchange for premium income. ### [Futures Pricing Models](https://term.greeks.live/term/futures-pricing-models/) ![A detailed cross-section of a high-tech mechanism with teal and dark blue components. This represents the complex internal logic of a smart contract executing a perpetual futures contract in a DeFi environment. The central core symbolizes the collateralization and funding rate calculation engine, while surrounding elements represent liquidity pools and oracle data feeds. The structure visualizes the precise settlement process and risk models essential for managing high-leverage positions within a decentralized exchange architecture.](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-perpetual-futures-contract-smart-contract-execution-protocol-mechanism-architecture.webp) Meaning ⎊ Futures pricing models translate temporal cost and expected value into actionable market prices for decentralized derivative instruments. ### [Comparative Asset Analysis](https://term.greeks.live/definition/comparative-asset-analysis/) ![A futuristic, dark blue cylindrical device featuring a glowing neon-green light source with concentric rings at its center. This object metaphorically represents a sophisticated market surveillance system for algorithmic trading. The complex, angular frames symbolize the structured derivatives and exotic options utilized in quantitative finance. The green glow signifies real-time data flow and smart contract execution for precise risk management in liquidity provision across decentralized finance protocols.](https://term.greeks.live/wp-content/uploads/2025/12/quantifying-algorithmic-risk-parameters-for-options-trading-and-defi-protocols-focusing-on-volatility-skew-and-price-discovery.webp) Meaning ⎊ Side-by-side risk and return assessment of different assets for portfolio optimization. ### [Economic Conditions](https://term.greeks.live/term/economic-conditions/) ![This visualization depicts the precise interlocking mechanism of a decentralized finance DeFi derivatives smart contract. The components represent the collateralization and settlement logic, where strict terms must align perfectly for execution. The mechanism illustrates the complexities of margin requirements for exotic options and structured products. This process ensures automated execution and mitigates counterparty risk by programmatically enforcing the agreement between parties in a trustless environment. The precision highlights the core philosophy of smart contract-based financial engineering.](https://term.greeks.live/wp-content/uploads/2025/12/precision-interlocking-collateralization-mechanism-depicting-smart-contract-execution-for-financial-derivatives-and-options-settlement.webp) Meaning ⎊ Economic Conditions define the operational environment for crypto derivatives by governing liquidity, risk premiums, and capital efficiency. ### [Portfolio Risk Analysis](https://term.greeks.live/term/portfolio-risk-analysis/) ![This abstract visualization presents a complex structured product where concentric layers symbolize stratified risk tranches. The central element represents the underlying asset while the distinct layers illustrate different maturities or strike prices within an options ladder strategy. The bright green pin precisely indicates a target price point or specific liquidation trigger, highlighting a critical point of interest for market makers managing a delta hedging position within a decentralized finance protocol. This visual model emphasizes risk stratification and the intricate relationships between various derivative components.](https://term.greeks.live/wp-content/uploads/2025/12/visualization-of-layered-risk-tranches-within-a-structured-product-for-options-trading-analysis.webp) Meaning ⎊ Portfolio risk analysis in crypto options quantifies systemic risk in composable decentralized systems by integrating technical failure analysis with financial modeling. ### [Quantitative Risk Analysis](https://term.greeks.live/term/quantitative-risk-analysis/) ![A sophisticated algorithmic execution logic engine depicted as internal architecture. The central blue sphere symbolizes advanced quantitative modeling, processing inputs green shaft to calculate risk parameters for cryptocurrency derivatives. This mechanism represents a decentralized finance collateral management system operating within an automated market maker framework. It dynamically determines the volatility surface and ensures risk-adjusted returns are calculated accurately in a high-frequency trading environment, managing liquidity pool interactions and smart contract logic.](https://term.greeks.live/wp-content/uploads/2025/12/high-frequency-algorithmic-execution-logic-for-cryptocurrency-derivatives-pricing-and-risk-modeling.webp) Meaning ⎊ Quantitative Risk Analysis for crypto options analyzes systemic risk in decentralized protocols, accounting for non-linear market dynamics and protocol architecture. --- ## Raw Schema Data ```json { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://term.greeks.live" }, { "@type": "ListItem", "position": 2, "name": "Term", "item": "https://term.greeks.live/term/" }, { "@type": "ListItem", "position": 3, "name": "Modern Portfolio Theory", "item": "https://term.greeks.live/term/modern-portfolio-theory/" } ] } ``` ```json { "@context": "https://schema.org", "@type": "Article", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://term.greeks.live/term/modern-portfolio-theory/" }, "headline": "Modern Portfolio Theory ⎊ Term", "description": "Meaning ⎊ Modern Portfolio Theory provides a quantitative framework for optimizing risk-adjusted returns through strategic asset allocation and diversification. ⎊ Term", "url": "https://term.greeks.live/term/modern-portfolio-theory/", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "datePublished": "2026-03-09T19:36:08+00:00", "dateModified": "2026-03-11T08:54:26+00:00", "publisher": { "@type": "Organization", "name": "Greeks.live" }, "articleSection": [ "Term" ], "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-risk-management-algorithm-predictive-modeling-engine-for-options-market-volatility.jpg", "caption": "A futuristic device featuring a glowing green core and intricate mechanical components inside a cylindrical housing, set against a dark, minimalist background. The device's sleek, dark housing suggests advanced technology and precision engineering, mirroring the complexity of modern financial instruments. This imagery serves as a powerful metaphor for a sophisticated decentralized finance algorithmic execution engine. The vibrant green glow symbolizes the operational state and real-time data processing essential for high-frequency trading strategies. Such systems rely on complex smart contract logic to calculate and manage risk parameters associated with options contracts and other financial derivatives. The precision engineering depicted mirrors the rigorous requirements for maintaining liquidity pools and ensuring efficient execution through automated market makers. This advanced technology enables predictive analytics to navigate extreme market volatility and optimize portfolio management in real-time." }, "keywords": [ "Active Portfolio Management", "Algorithmic Rebalancing", "Algorithmic Trading Strategies", "Alternative Investment Strategies", "Asset Allocation", "Asset Allocation Models", "Asset Class Correlation", "Asset Correlation", "Asset Liability Management", "Asset Pricing Models", "Asset Return Distributions", "Behavioral Game Theory Insights", "Beta Coefficient Assessment", "Blockchain Investment Analysis", "Blockchain Portfolio Theory", "Capital Asset Pricing", "Capital Efficiency", "Capital Market Theory", "Collateral Management", "Commodity Trading Applications", "Consensus Mechanism Effects", "Contagion Effects Analysis", "Covariance Matrix Applications", "Cross-Chain Liquidity", "Crypto Derivatives", "Crypto Volatility", "Cryptocurrency Portfolio Management", "Decentralized Finance", "Decentralized Finance Portfolios", "Decentralized Options", "DeFi Infrastructure", "Delta Neutrality", "Derivative Hedging", "Derivative Systems", "Diversification Techniques", "Dynamic Asset Allocation", "Efficient Frontier", "Efficient Frontier Analysis", "Emerging Market Investments", "Equity Portfolio Construction", "Exchange Traded Funds", "Expected Return Maximization", "Expected Shortfall Measures", "Factor Based Investing", "Financial Data Analysis", "Financial Derivative Strategies", "Financial Engineering", "Financial History Lessons", "Financial Modeling", "Financial Modeling Techniques", "Financial Planning Applications", "Fixed Income Portfolio Management", "Fundamental Analysis Methods", "Gamma Hedging", "Global Portfolio Diversification", "Harry Markowitz Contributions", "Hedge Fund Strategies", "Hedging Techniques", "Index Fund Strategies", "Institutional Crypto", "Institutional Investment Management", "Investment Compliance Regulations", "Investment Decision Making", "Investment Horizon Considerations", "Investment Management Impact", "Investment Policy Statements", "Investment Portfolio Construction", "Investment Research Reports", "Investment Risk Tolerance", "Jensen's Alpha Calculation", "Leverage Dynamics", "Liquidation Thresholds", "Liquidity Depth", "Liquidity Management", "Macro-Crypto Correlation", "Margin Engines", "Market Making", "Market Microstructure", "Market Microstructure Analysis", "Mean Variance Optimization", "Modern Banking Regulations", "Modern Finance Principles", "Modern Financial Theory", "Modern Investment Strategies", "Modern Portfolio Construction", "Modern Portfolio Theory Applications", "Modern Portfolio Updates", "Modern Risk Transfer Systems", "Modern Tokenomics Design", "Monte Carlo Simulation", "Multi Asset Class Portfolios", "Network Incentives", "On-Chain Data", "Optimization Algorithm Selection", "Option Pricing", "Options Trading Applications", "Order Flow", "Order Flow Dynamics", "Passive Investment Approaches", "Perpetual Swaps", "Portfolio Constraints Analysis", "Portfolio Diversification Benefits", "Portfolio Insurance Strategies", "Portfolio Optimization", "Portfolio Optimization Software", "Portfolio Optimization Strategies", "Portfolio Performance Evaluation", "Portfolio Rebalancing Strategies", "Portfolio Reporting Standards", "Portfolio Resilience", "Portfolio Risk Quantification", "Portfolio Theory", "Portfolio Theory Extensions", "Portfolio Volatility Management", "Private Equity Portfolios", "Protocol Physics Impact", "Protocol Risk", "Quantitative Finance", "Quantitative Finance Applications", "Quantitative Investment Strategies", "Quantitative Modeling", "Rational Investor Behavior", "Real Estate Investments", "Regulatory Arbitrage Strategies", "Retirement Portfolio Design", "Risk Aversion Principles", "Risk Diversification", "Risk Parameters", "Risk Return Tradeoff Analysis", "Risk Sensitivity", "Risk-Adjusted Returns", "Scenario Analysis Techniques", "Security Selection Process", "Sharpe Ratio Analysis", "Smart Contract Portfolio Risks", "Smart Contract Security", "Statistical Portfolio Measures", "Strategic Asset Allocation", "Stress Testing Procedures", "Structural Risk", "Systematic Risk Exposure", "Systemic Risk", "Systems Risk Management", "Tactical Asset Allocation", "Tail Risk Mitigation", "Tokenomics Risk Assessment", "Trend Forecasting Techniques", "Treynor Ratio Metrics", "Unsystematic Risk Mitigation", "Value Accrual Models", "Value at Risk Metrics", "Variance Calculation Methods", "Variance Covariance Matrix", "Volatility Regimes", "Wealth Management Strategies", "Yield Farming" ] } ``` ```json { "@context": "https://schema.org", "@type": "WebSite", "url": "https://term.greeks.live/", "potentialAction": { "@type": "SearchAction", "target": "https://term.greeks.live/?s=search_term_string", "query-input": "required name=search_term_string" } } ``` ```json { "@context": "https://schema.org", "@type": "WebPage", "@id": "https://term.greeks.live/term/modern-portfolio-theory/", 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