# Margin Call Procedures ⎊ Term

**Published:** 2026-03-10
**Author:** Greeks.live
**Categories:** Term

---

![A stylized, colorful padlock featuring blue, green, and cream sections has a key inserted into its central keyhole. The key is positioned vertically, suggesting the act of unlocking or validating access within a secure system](https://term.greeks.live/wp-content/uploads/2025/12/smart-contract-security-vulnerability-and-private-key-management-for-decentralized-finance-protocols.webp)

![A dynamic, interlocking chain of metallic elements in shades of deep blue, green, and beige twists diagonally across a dark backdrop. The central focus features glowing green components, with one clearly displaying a stylized letter "F," highlighting key points in the structure](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-protocol-architecture-visualizing-immutable-cross-chain-data-interoperability-and-smart-contract-triggers.webp)

## Essence

**Margin Call Procedures** represent the automated enforcement mechanisms governing solvency within leveraged derivative environments. These protocols function as the terminal boundary for risk, ensuring that a participant’s collateral remains sufficient to cover potential losses relative to the current mark-to-market value of their positions. When the ratio of collateral to position exposure breaches predefined thresholds, the system initiates a sequence of events designed to restore protocol health.

> Margin call procedures serve as the primary automated defense against systemic insolvency by enforcing collateral sufficiency through predefined liquidation thresholds.

The operational reality of these procedures hinges on the interaction between price oracles and the margin engine. The engine constantly monitors the account health, defined as the ratio of available collateral to the [maintenance margin](https://term.greeks.live/area/maintenance-margin/) requirement. Should this value drop below the critical limit, the account enters a state of under-collateralization.

At this juncture, the system restricts further activity, potentially triggering a liquidation event to mitigate exposure and protect the integrity of the protocol.

![The image displays a high-tech, futuristic object, rendered in deep blue and light beige tones against a dark background. A prominent bright green glowing triangle illuminates the front-facing section, suggesting activation or data processing](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-execution-module-trigger-for-options-market-data-feed-and-decentralized-protocol-verification.webp)

## Origin

Traditional finance established the foundational logic of **Margin Call Procedures** to manage credit risk in centralized clearinghouses. Early iterations relied on manual oversight and periodic reconciliation, where brokers contacted clients to demand additional capital during market volatility. The transition to digital assets necessitated a shift from human-mediated processes to deterministic, code-based execution, as the velocity of crypto markets rendered manual intervention obsolete.

Modern decentralized finance protocols inherited these requirements but adapted them to an adversarial, permissionless landscape. The shift towards **Automated Liquidation Engines** required embedding risk parameters directly into smart contracts. This evolution reflects the necessity for protocols to maintain solvency without relying on trusted third parties, thereby creating a system where code-enforced liquidations occur regardless of participant intent or external market conditions.

![This abstract composition features smooth, flowing surfaces in varying shades of dark blue and deep shadow. The gentle curves create a sense of continuous movement and depth, highlighted by soft lighting, with a single bright green element visible in a crevice on the upper right side](https://term.greeks.live/wp-content/uploads/2025/12/nonlinear-price-action-dynamics-simulating-implied-volatility-and-derivatives-market-liquidity-flows.webp)

## Theory

The structural integrity of a margin system rests on the mathematical relationship between **Maintenance Margin** and **Liquidation Thresholds**. A protocol calculates the risk of a position using volatility metrics and the current mark-to-market value of the underlying assets. The **Margin Engine** operates as a state machine, transitioning accounts from healthy, to warning, to liquidation states based on real-time price feeds.

| Parameter | Functional Role |
| --- | --- |
| Initial Margin | Collateral required to open a position |
| Maintenance Margin | Minimum collateral to keep a position active |
| Liquidation Threshold | Price level triggering automated asset sale |

This mechanism incorporates **Quantitative Finance** principles to model risk sensitivity. By applying **Delta** and **Gamma** analysis, protocols determine the necessary collateral buffers required to absorb sudden price movements. The objective is to minimize the **Liquidation Lag**, ensuring that the protocol can offload under-collateralized positions before the account value turns negative, which would otherwise socialize losses across the liquidity pool.

> The margin engine operates as a deterministic state machine that converts market volatility into automated, risk-mitigating liquidation events.

The physics of these systems involves complex feedback loops. Consider the relationship between liquidation price and spot market depth; the act of liquidating a large position can move the price, potentially triggering further liquidations in a cascading event. This phenomenon mirrors the mechanical stress observed in bridge engineering, where localized failure propagates through the entire structure due to load redistribution.

The protocol must therefore calibrate its liquidation velocity to avoid triggering such systemic instability.

![A high-contrast digital rendering depicts a complex, stylized mechanical assembly enclosed within a dark, rounded housing. The internal components, resembling rollers and gears in bright green, blue, and off-white, are intricately arranged within the dark structure](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-automated-market-maker-smart-contract-architecture-risk-stratification-model.webp)

## Approach

Current implementations prioritize **Capital Efficiency** and **Liquidation Fairness**. Market makers and specialized agents monitor protocol health to execute liquidations, often receiving a fee as an incentive for maintaining the system’s stability. These **Liquidation Keepers** perform the essential function of arbitrage, ensuring that under-collateralized positions are closed at fair market values.

- **Partial Liquidation** reduces position size only until the account reaches the required maintenance margin level.

- **Full Liquidation** occurs when the deficit is severe, closing the entire position to prevent further losses.

- **Socialized Loss Mechanisms** function as a last resort, distributing remaining deficits across liquidity providers when liquidations fail to cover the debt.

The technical architecture often employs **Oracle Aggregation** to prevent price manipulation attacks. By utilizing multiple data sources, the [margin engine](https://term.greeks.live/area/margin-engine/) verifies the spot price before initiating a call, protecting against flash-loan-induced artificial volatility. This defensive design is vital in environments where malicious actors seek to trigger liquidations by briefly skewing price feeds.

![A dynamically composed abstract artwork featuring multiple interwoven geometric forms in various colors, including bright green, light blue, white, and dark blue, set against a dark, solid background. The forms are interlocking and create a sense of movement and complex structure](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-visualization-of-interdependent-liquidity-positions-and-complex-option-structures-in-defi.webp)

## Evolution

The development of **Cross-Margin** systems represents a significant shift from isolated, account-based collateral management. Earlier models forced users to manage collateral per position, which was inefficient and prone to errors. Newer frameworks aggregate collateral across all open positions, allowing gains in one to offset requirements in another, thereby optimizing capital utilization for professional participants.

> Cross-margin architectures improve capital efficiency by allowing global collateralization, though they increase the risk of rapid, account-wide liquidation during volatility.

We are witnessing a move towards **Dynamic Margin Requirements** that adjust in real-time based on asset volatility. Instead of static thresholds, protocols now incorporate **Volatility-Adjusted Margins**, increasing collateral demands as market uncertainty rises. This adaptive approach aligns protocol risk with actual market conditions, preventing the accumulation of dangerous leverage during periods of low volatility that precede sudden market shifts.

![A tightly tied knot in a thick, dark blue cable is prominently featured against a dark background, with a slender, bright green cable intertwined within the structure. The image serves as a powerful metaphor for the intricate structure of financial derivatives and smart contracts within decentralized finance ecosystems](https://term.greeks.live/wp-content/uploads/2025/12/analyzing-interconnected-risk-dynamics-in-defi-structured-products-and-cross-collateralization-mechanisms.webp)

## Horizon

The next stage of development involves the integration of **Predictive Liquidation Engines** that utilize off-chain data to anticipate risk before it manifests on-chain. By incorporating **Machine Learning** models to analyze order flow and liquidity depth, these systems aim to preemptively reduce leverage, potentially avoiding the need for reactive liquidations entirely. This transition from reactive to proactive risk management marks a major shift in derivative architecture.

Furthermore, **Zero-Knowledge Proofs** will likely enable private margin management, where users can prove their solvency without exposing their total position size or account holdings. This development addresses privacy concerns while maintaining the transparency required for protocol safety. The ultimate goal remains the creation of robust, resilient markets where automated enforcement protects participants without compromising the efficiency of capital deployment.

## Glossary

### [Margin Engine](https://term.greeks.live/area/margin-engine/)

Calculation ⎊ The real-time computational process that determines the required collateral level for a leveraged position based on the current asset price, contract terms, and system risk parameters.

### [Maintenance Margin](https://term.greeks.live/area/maintenance-margin/)

Requirement ⎊ This defines the minimum equity level that must be held in a leveraged derivatives account to sustain open positions without triggering an immediate margin call.

## Discover More

### [Risk Tolerance Assessment](https://term.greeks.live/term/risk-tolerance-assessment/)
![A detailed cross-section of a complex asset structure represents the internal mechanics of a decentralized finance derivative. The layers illustrate the collateralization process and intrinsic value components of a structured product, while the surrounding granular matter signifies market fragmentation. The glowing core emphasizes the underlying protocol mechanism and specific tokenomics. This visual metaphor highlights the importance of rigorous risk assessment for smart contracts and collateralized debt positions, revealing hidden leverage and potential liquidation risks in decentralized exchanges.](https://term.greeks.live/wp-content/uploads/2025/12/dissection-of-structured-derivatives-collateral-risk-assessment-and-intrinsic-value-extraction-in-defi-protocols.webp)

Meaning ⎊ Risk Tolerance Assessment provides the quantitative framework for aligning capital exposure with the technical constraints of decentralized derivatives.

### [Liquidation](https://term.greeks.live/definition/liquidation/)
![A detailed cross-section reveals a complex, multi-layered mechanism composed of concentric rings and supporting structures. The distinct layers—blue, dark gray, beige, green, and light gray—symbolize a sophisticated derivatives protocol architecture. This conceptual representation illustrates how an underlying asset is protected by layered risk management components, including collateralized debt positions, automated liquidation mechanisms, and decentralized governance frameworks. The nested structure highlights the complexity and interdependencies required for robust financial engineering in a modern capital efficiency-focused ecosystem.](https://term.greeks.live/wp-content/uploads/2025/12/multi-layered-risk-mitigation-strategies-in-decentralized-finance-protocols-emphasizing-collateralized-debt-positions.webp)

Meaning ⎊ The forced closing of a leveraged position by an exchange when a trader fails to meet margin requirements.

### [Decentralized Finance Architecture](https://term.greeks.live/term/decentralized-finance-architecture/)
![A conceptual model illustrating a decentralized finance protocol's inner workings. The central shaft represents collateralized assets flowing through a liquidity pool, governed by smart contract logic. Connecting rods visualize the automated market maker's risk engine, dynamically adjusting based on implied volatility and calculating settlement. The bright green indicator light signifies active yield generation and successful perpetual futures execution within the protocol architecture. This mechanism embodies transparent governance within a DAO.](https://term.greeks.live/wp-content/uploads/2025/12/collateralized-defi-protocol-architecture-demonstrating-smart-contract-automated-market-maker-logic.webp)

Meaning ⎊ Decentralized finance architecture enables permissionless risk transfer through collateralized, on-chain derivatives, shifting power from intermediaries to code-based systems.

### [Default Insurance](https://term.greeks.live/definition/default-insurance/)
![A sleek abstract form representing a smart contract vault for collateralized debt positions. The dark, contained structure symbolizes a decentralized derivatives protocol. The flowing bright green element signifies yield generation and options premium collection. The light blue feature represents a specific strike price or an underlying asset within a market-neutral strategy. The design emphasizes high-precision algorithmic trading and sophisticated risk management within a dynamic DeFi ecosystem, illustrating capital flow and automated execution.](https://term.greeks.live/wp-content/uploads/2025/12/dynamic-visualization-of-decentralized-finance-liquidity-flow-and-risk-mitigation-in-complex-options-derivatives.webp)

Meaning ⎊ Mechanism, often an insurance fund, used to absorb losses from trader defaults and protect protocol solvency.

### [Options Greeks Integrity](https://term.greeks.live/term/options-greeks-integrity/)
![This high-precision model illustrates the complex architecture of a decentralized finance structured product, representing algorithmic trading strategy interactions. The layered design reflects the intricate composition of exotic derivatives and collateralized debt obligations, where smart contracts execute specific functions based on underlying asset prices. The color gradient symbolizes different risk tranches within a liquidity pool, while the glowing element signifies active real-time data processing and market efficiency in high-frequency trading environments, essential for managing volatility surfaces and maximizing collateralization ratios.](https://term.greeks.live/wp-content/uploads/2025/12/cryptocurrency-high-frequency-trading-algorithmic-model-architecture-for-decentralized-finance-structured-products-volatility.webp)

Meaning ⎊ Options Greeks Integrity ensures the reliability of risk metrics in decentralized protocols to enable accurate hedging and robust financial stability.

### [Liquidation Event](https://term.greeks.live/definition/liquidation-event/)
![Dynamic abstract forms visualize the interconnectedness of complex financial instruments in decentralized finance. The layered structures represent structured products and multi-asset derivatives where risk exposure and liquidity provision interact across different protocol layers. The prominent green element signifies an asset’s price discovery or positive yield generation from a specific staking mechanism or liquidity pool. This illustrates the complex risk propagation inherent in leveraged trading and counterparty risk management in DeFi protocols.](https://term.greeks.live/wp-content/uploads/2025/12/visualizing-structured-products-in-decentralized-finance-protocol-layers-and-volatility-interconnectedness.webp)

Meaning ⎊ The process of a broker forcefully closing an investor's positions due to margin call failure.

### [DeFi Protocols](https://term.greeks.live/term/defi-protocols/)
![This complex visualization illustrates the systemic interconnectedness within decentralized finance protocols. The intertwined tubes represent multiple derivative instruments and liquidity pools, highlighting the aggregation of cross-collateralization risk. A potential failure in one asset or counterparty exposure could trigger a chain reaction, leading to liquidation cascading across the entire system. This abstract representation captures the intricate complexity of notional value linkages in options trading and other financial derivatives within the crypto ecosystem.](https://term.greeks.live/wp-content/uploads/2025/12/a-high-level-visualization-of-systemic-risk-aggregation-in-cross-collateralized-defi-derivative-protocols.webp)

Meaning ⎊ Decentralized options protocols offer a critical financial layer for managing volatility and transferring risk through capital-efficient, on-chain mechanisms.

### [Quantitative Risk Assessment](https://term.greeks.live/term/quantitative-risk-assessment/)
![A futuristic, dark blue object with sharp angles features a bright blue, luminous orb and a contrasting beige internal structure. This design embodies the precision of algorithmic trading strategies essential for derivatives pricing in decentralized finance. The luminous orb represents advanced predictive analytics and market surveillance capabilities, crucial for monitoring real-time volatility surfaces and mitigating systematic risk. The structure symbolizes a robust smart contract execution protocol designed for high-frequency trading and efficient options portfolio rebalancing in a complex market environment.](https://term.greeks.live/wp-content/uploads/2025/12/precision-quantitative-risk-modeling-system-for-high-frequency-decentralized-finance-derivatives-protocol-governance.webp)

Meaning ⎊ Quantitative Risk Assessment provides the mathematical rigor necessary to manage uncertainty and ensure solvency within decentralized derivative markets.

### [Hybrid Limit Order Book](https://term.greeks.live/term/hybrid-limit-order-book/)
![This mechanical construct illustrates the aggressive nature of high-frequency trading HFT algorithms and predatory market maker strategies. The sharp, articulated segments and pointed claws symbolize precise algorithmic execution, latency arbitrage, and front-running tactics. The glowing green components represent live data feeds, order book depth analysis, and active alpha generation. This digital predator model reflects the calculated and swift actions in modern financial derivatives markets, highlighting the race for nanosecond advantages in liquidity provision. The intricate design metaphorically represents the complexity of financial engineering in derivatives pricing.](https://term.greeks.live/wp-content/uploads/2025/12/high-frequency-trading-algorithmic-execution-predatory-market-dynamics-and-order-book-latency-arbitrage.webp)

Meaning ⎊ Hybrid Limit Order Book systems bridge the performance gap of traditional matching engines with the trustless security of decentralized settlement.

---

## 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": "Margin Call Procedures",
            "item": "https://term.greeks.live/term/margin-call-procedures/"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "Article",
    "mainEntityOfPage": {
        "@type": "WebPage",
        "@id": "https://term.greeks.live/term/margin-call-procedures/"
    },
    "headline": "Margin Call Procedures ⎊ Term",
    "description": "Meaning ⎊ Margin call procedures function as the automated, code-enforced terminal boundary for risk, ensuring systemic solvency within leveraged markets. ⎊ Term",
    "url": "https://term.greeks.live/term/margin-call-procedures/",
    "author": {
        "@type": "Person",
        "name": "Greeks.live",
        "url": "https://term.greeks.live/author/greeks-live/"
    },
    "datePublished": "2026-03-10T00:49:35+00:00",
    "dateModified": "2026-03-10T00:51:11+00:00",
    "publisher": {
        "@type": "Organization",
        "name": "Greeks.live"
    },
    "articleSection": [
        "Term"
    ],
    "image": {
        "@type": "ImageObject",
        "url": "https://term.greeks.live/wp-content/uploads/2025/12/visual-representation-of-a-risk-engine-for-decentralized-perpetual-futures-settlement-and-options-contract-collateralization.jpg",
        "caption": "A detailed cross-section view of a high-tech mechanical component reveals an intricate assembly of gold, blue, and teal gears and shafts enclosed within a dark blue casing. The precision-engineered parts are arranged to depict a complex internal mechanism, possibly a connection joint or a dynamic power transfer system. This sophisticated mechanism serves as a metaphor for the intricate smart contract architecture underlying decentralized options and perpetual futures trading. The interconnected gears represent the complex risk engine algorithms that manage liquidity pools and calculate collateralization ratios, essential for maintaining margin requirements during high-frequency trading. The design highlights how automated systems manage settlement procedures and protect against impermanent loss, relying heavily on accurate oracle data integration. This visualization emphasizes the critical role of engineering precision in ensuring the reliability and stability of DeFi derivatives protocols."
    },
    "keywords": [
        "Account Under-Collateralization",
        "Adversarial Market Dynamics",
        "Algorithmic Trading Systems",
        "Automated Clearing Procedures",
        "Automated Debt Settlement",
        "Automated Enforcement Mechanisms",
        "Automated Liquidation Engines",
        "Automated Market Makers",
        "Automated Portfolio Rebalancing",
        "Automated Risk Boundaries",
        "Automated Risk Reporting",
        "Automated Trading Bots",
        "Black Swan Event Mitigation",
        "Blockchain Protocol Physics",
        "Broker Capital Demands",
        "Capital Efficiency Optimization",
        "Centralized Clearinghouses",
        "Collateral Sufficiency",
        "Collateral Sufficiency Monitoring",
        "Collateralization Ratio Monitoring",
        "Collateralized Debt Positions",
        "Consensus Mechanism Impact",
        "Counterparty Credit Risk",
        "Credit Risk Management",
        "Cross-Margin Functionality",
        "Cross-Margin Systems",
        "Crypto Derivative Liquidity",
        "Crypto Liquidity Pool Protection",
        "Crypto Market Stability Mechanisms",
        "Crypto Options Derivative Architecture",
        "Cryptocurrency Margin Calls",
        "Decentralized Clearinghouse Models",
        "Decentralized Derivatives Platforms",
        "Decentralized Dispute Resolution",
        "Decentralized Exchange Protocols",
        "Decentralized Finance Leverage",
        "Decentralized Finance Regulation",
        "Decentralized Finance Risk",
        "Decentralized Governance Models",
        "Decentralized Insurance Protocols",
        "Decentralized Lending Protocols",
        "Decentralized Margin Engines",
        "Decentralized Risk Governance",
        "Decentralized Risk Management",
        "Decentralized Risk Oracles",
        "Delta Gamma Hedging",
        "Derivative Market Microstructure",
        "Derivative Position Liquidation",
        "Derivative Risk Sensitivity",
        "Derivatives Trading Strategies",
        "Digital Asset Volatility",
        "Dynamic Collateral Adjustments",
        "Dynamic Risk Allocation",
        "Extreme Market Conditions",
        "Financial Contract Security",
        "Financial Crisis History",
        "Financial Innovation Challenges",
        "Financial Settlement Systems",
        "Flash Loan Attack Mitigation",
        "Flash Loan Exploits",
        "Funding Rate Mechanisms",
        "Futures Contract Liquidation",
        "Global Financial Stability",
        "Governance Model Analysis",
        "Greeks Analysis",
        "Hedging Strategies Analysis",
        "Impermanent Loss Mitigation",
        "Initial Margin Requirements",
        "Isolated Margin Trading",
        "Jurisdictional Legal Frameworks",
        "Leverage Dynamics Analysis",
        "Leveraged Derivative Environments",
        "Liquidation Keeper Incentives",
        "Liquidation Lag Reduction",
        "Liquidation Penalty Structures",
        "Liquidation Thresholds",
        "Liquidity Pool Risks",
        "Liquidity Risk Management",
        "Macro Crypto Correlation Studies",
        "Maintenance Margin Requirements",
        "Margin Call Automation",
        "Margin Call Protocols",
        "Margin Call Transparency",
        "Margin Engine Functionality",
        "Margin Engine Monitoring",
        "Margin Engine State Machines",
        "Margin Tiering Systems",
        "Mark-to-Market Accounting",
        "Mark-to-Market Valuation",
        "Market Impact Assessment",
        "Market Microstructure Analysis",
        "Market Volatility Response",
        "On-Chain Risk Management",
        "Options Trading Risk",
        "Oracle Manipulation Risks",
        "Oracle Price Aggregation",
        "Order Book Dynamics",
        "Order Flow Dynamics",
        "Over-Collateralization Strategies",
        "Perpetual Contract Margin",
        "Portfolio Optimization Techniques",
        "Position Exposure Ratios",
        "Position Liquidation Thresholds",
        "Position Margin Requirements",
        "Position Sizing Strategies",
        "Price Feed Accuracy",
        "Price Oracle Interaction",
        "Protocol Health Monitoring",
        "Protocol Loss Socialization",
        "Protocol Parameter Optimization",
        "Protocol Security Audits",
        "Protocol Solvency",
        "Protocol Solvency Enforcement",
        "Protocol Upgrade Mechanisms",
        "Quantitative Risk Modeling",
        "Real-Time Risk Assessment",
        "Regulatory Arbitrage Strategies",
        "Regulatory Reporting Requirements",
        "Risk Exposure Mitigation",
        "Risk Management Protocols",
        "Risk Parameter Calibration",
        "Risk Scoring Systems",
        "Risk-Adjusted Return Analysis",
        "Security Vulnerability Assessments",
        "Slippage Control Mechanisms",
        "Smart Contract Audits",
        "Smart Contract Automation",
        "Smart Contract Compliance",
        "Smart Contract Risk Management",
        "Strategic Participant Interaction",
        "Sub-Optimal Execution Risks",
        "Synthetic Asset Exposure",
        "Systemic Event Response",
        "Systemic Insolvency Defense",
        "Systemic Risk Oversight",
        "Systemic Risk Propagation",
        "Systems Risk Propagation",
        "Tokenomics Incentive Structures",
        "Trading Activity Restriction",
        "Traditional Finance Logic",
        "Trend Forecasting Techniques",
        "Under Collateralized Position Mitigation",
        "Under-Collateralized Loans",
        "Value Accrual Mechanisms",
        "Variation Margin Calls",
        "Volatility Adjusted Collateral",
        "Volatility Adjustment Mechanisms",
        "Volatility Targeting Strategies"
    ]
}
```

```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/margin-call-procedures/",
    "mentions": [
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/maintenance-margin/",
            "name": "Maintenance Margin",
            "url": "https://term.greeks.live/area/maintenance-margin/",
            "description": "Requirement ⎊ This defines the minimum equity level that must be held in a leveraged derivatives account to sustain open positions without triggering an immediate margin call."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/margin-engine/",
            "name": "Margin Engine",
            "url": "https://term.greeks.live/area/margin-engine/",
            "description": "Calculation ⎊ The real-time computational process that determines the required collateral level for a leveraged position based on the current asset price, contract terms, and system risk parameters."
        }
    ]
}
```


---

**Original URL:** https://term.greeks.live/term/margin-call-procedures/
