# Automated Risk Modeling ⎊ Area ⎊ Resource 3

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## What is the Algorithm of Automated Risk Modeling?

Automated risk modeling utilizes algorithms to continuously evaluate portfolio exposure and calculate risk metrics in real-time. These systems process vast amounts of market data, including price feeds, volatility surfaces, and on-chain transaction data. The objective is to provide dynamic risk assessments that adapt quickly to changing market conditions, which is essential for high-frequency trading strategies.

## What is the Monitoring of Automated Risk Modeling?

Continuous monitoring is a key component of automated risk modeling, particularly in decentralized finance. The system tracks collateral ratios and margin requirements across various derivative positions. By identifying potential breaches of risk thresholds, automated systems can trigger pre-defined actions to mitigate losses.

## What is the Liquidation of Automated Risk Modeling?

The primary function of automated risk modeling in derivatives trading is to manage liquidation risk efficiently. When a position's collateral falls below the maintenance margin, the system automatically initiates liquidation to prevent further losses to the protocol or counterparty. This process ensures the solvency of the platform by minimizing bad debt accumulation during periods of extreme market stress.


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## [Quantitative Finance Modeling](https://term.greeks.live/term/quantitative-finance-modeling/)

## [Non Linear Payoff Modeling](https://term.greeks.live/term/non-linear-payoff-modeling/)

---

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**Original URL:** https://term.greeks.live/area/automated-risk-modeling/resource/3/