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Understanding Rug Pulls in Decentralized Finance: A 2D Dashboard Approach

A visual tool for assessing liquidity and holder risk in decentralized finance platforms.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

What is a Rug Pull?

A rug pull is a fraudulent scheme where the creators of a decentralized finance (DeFi) project suddenly remove all their tokens from the platform, leaving investors with worthless assets. This practice has become increasingly common as DeFi gains popularity.

Detecting and mitigating such risks is crucial for maintaining trust in the rapidly growing DeFi ecosystem.

The 2D Dashboard: AMM Curve and Reserve Tanks

The dashboard visualizes a constant-product automated market maker (AMM) curve, which represents the relationship between the supply of two tokens in a liquidity pool. The reserve tanks show the actual token amounts held by the protocol.

By analyzing these elements, one can gauge the overall health and stability of the liquidity pool.

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Holder Concentration Ring

The holder concentration ring is a visual representation of how tokens are distributed among holders. A high concentration indicates that a small number of wallets hold a large portion of the total supply.

This information helps in assessing the risk of a rug pull, as concentrated token holdings can be more easily drained by malicious actors.

Risk Score and Detection Mechanism

The real-time rug-pull risk score is calculated based on various factors including holder concentration and liquidity levels. This score helps in identifying potential risks before they materialize.

By tuning the detection threshold, users can customize how sensitive the system is to detecting suspicious activities.

Frequently asked questions

How does the AMM curve relate to rug pulls?

The AMM curve helps in understanding the liquidity dynamics of a pool. An unusual shift or manipulation in this curve can indicate potential fraudulent activities, such as a rug pull.

What is the significance of holder concentration?

High holder concentration suggests that a few wallets hold a large portion of tokens, which makes them more vulnerable to being drained by malicious actors during a rug pull.

Can the detection threshold be adjusted for different risk levels?

Yes, users can adjust the detection threshold to better suit their risk tolerance. A higher threshold will make it harder to trigger an alert, while a lower threshold will make it easier to detect potential risks.

How does liquidity affect rug pull risk?

Liquidity levels indicate how easily tokens can be traded without causing significant price fluctuations. Lower liquidity can make it more difficult for investors to exit the pool, increasing the risk of a rug pull.

Try it live

Everything above runs in your browser — open Rug Pull Detector 2D: Liquidity & Holder Risk Scoring and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Rug Pull Detector 2D: Liquidity & Holder Risk Scoring simulation

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