# Pull-Based Model ⎊ Area ⎊ Resource 2 --- ## What is the Architecture of Pull-Based Model? This describes a system design where consuming entities actively request data from a source, rather than the source pushing data to them unsolicited. In derivatives, this often means a trading bot periodically queries an oracle or exchange API for the latest price or implied volatility quote. Such an architecture can reduce network overhead but introduces latency based on the query frequency. ## What is the Protocol of Pull-Based Model? The operational protocol dictates that a client must initiate a request to receive an update on the underlying asset price or option premium, contrasting with a push-based subscription model. This request-response pattern is common in environments where data consumers have varying update requirements or limited bandwidth capacity. It places the control of data flow on the consumer side. ## What is the Flow of Pull-Based Model? Data flow is initiated by the user or system component needing the information, pulling the required data packet across the network interface. For options analysis, this might involve pulling the latest trade history to recalculate the option's Delta in near real-time. Managing the frequency of these pulls is a key aspect of system resource allocation. --- ## [Black-Scholes Model Inadequacy](https://term.greeks.live/term/black-scholes-model-inadequacy/) ## [Hybrid Order Book Model](https://term.greeks.live/term/hybrid-order-book-model/) ## [Black-Scholes Model Manipulation](https://term.greeks.live/term/black-scholes-model-manipulation/) ## [Greeks-Based Margin Systems](https://term.greeks.live/term/greeks-based-margin-systems/) ## [Reputation-Based Credit](https://term.greeks.live/term/reputation-based-credit/) ## [Volume-Based Fees](https://term.greeks.live/term/volume-based-fees/) ## [Risk-Based Margin Calculation](https://term.greeks.live/term/risk-based-margin-calculation/) ## [Black-Scholes Model Integration](https://term.greeks.live/term/black-scholes-model-integration/) ## [Stochastic Volatility Jump-Diffusion Model](https://term.greeks.live/term/stochastic-volatility-jump-diffusion-model/) ## [Security Model](https://term.greeks.live/term/security-model/) ## [Risk Model Calibration](https://term.greeks.live/term/risk-model-calibration/) ## [Black-Scholes Model Vulnerabilities](https://term.greeks.live/term/black-scholes-model-vulnerabilities/) ## [Black-Scholes Model Vulnerability](https://term.greeks.live/term/black-scholes-model-vulnerability/) ## [Risk Based Collateral](https://term.greeks.live/term/risk-based-collateral/) ## [Interest Rate Model](https://term.greeks.live/term/interest-rate-model/) ## [Prover Verifier Model](https://term.greeks.live/term/prover-verifier-model/) ## [Black-Scholes Pricing Model](https://term.greeks.live/term/black-scholes-pricing-model/) ## [EIP-1559 Fee Model](https://term.greeks.live/term/eip-1559-fee-model/) ## [Utilization Curve Model](https://term.greeks.live/term/utilization-curve-model/) ## [Credit-Based Margining](https://term.greeks.live/term/credit-based-margining/) ## [Risk-Based Utilization Limits](https://term.greeks.live/term/risk-based-utilization-limits/) ## [Agent Based Simulation](https://term.greeks.live/term/agent-based-simulation/) ## [Model Risk](https://term.greeks.live/term/model-risk/) ## [Pull Data Feeds](https://term.greeks.live/term/pull-data-feeds/) ## [Intent-Based Matching](https://term.greeks.live/term/intent-based-matching/) ## [Risk Model](https://term.greeks.live/term/risk-model/) ## [Margin Model](https://term.greeks.live/term/margin-model/) ## [Scenario-Based Stress Testing](https://term.greeks.live/term/scenario-based-stress-testing/) ## [Model Calibration](https://term.greeks.live/term/model-calibration/) ## [Black-76 Model](https://term.greeks.live/term/black-76-model/) --- ## 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": "Area", "item": "https://term.greeks.live/area/" }, { "@type": "ListItem", "position": 3, "name": "Pull-Based Model", "item": "https://term.greeks.live/area/pull-based-model/" }, { "@type": "ListItem", "position": 4, "name": "Resource 2", "item": "https://term.greeks.live/area/pull-based-model/resource/2/" } ] } ``` ```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": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What is the Architecture of Pull-Based Model?", "acceptedAnswer": { "@type": "Answer", "text": "This describes a system design where consuming entities actively request data from a source, rather than the source pushing data to them unsolicited. In derivatives, this often means a trading bot periodically queries an oracle or exchange API for the latest price or implied volatility quote. Such an architecture can reduce network overhead but introduces latency based on the query frequency." } }, { "@type": "Question", "name": "What is the Protocol of Pull-Based Model?", "acceptedAnswer": { "@type": "Answer", "text": "The operational protocol dictates that a client must initiate a request to receive an update on the underlying asset price or option premium, contrasting with a push-based subscription model. This request-response pattern is common in environments where data consumers have varying update requirements or limited bandwidth capacity. It places the control of data flow on the consumer side." } }, { "@type": "Question", "name": "What is the Flow of Pull-Based Model?", "acceptedAnswer": { "@type": "Answer", "text": "Data flow is initiated by the user or system component needing the information, pulling the required data packet across the network interface. For options analysis, this might involve pulling the latest trade history to recalculate the option's Delta in near real-time. 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