Asset price aggregation is one of the most important tasks of blockchain oracles, especially in the context of decentralized finance (DeFi). The accuracy of this data directly affects the stability and security of DeFi protocols, including credit platforms, decentralized exchanges (DEX), and stablecoin protocols. In this article, we will look at the main mechanisms that are used to aggregate asset prices.

This method involves collecting asset prices from several independent sources and calculating their average value. The process looks like this:

• Oracles request asset price data from various CEX and DEX.

• Prices are added up and divided by the number of sources.

• The resulting value is transferred to the blockchain for use in smart contracts.

The advantage of the method lies in its simplicity. However, it may be vulnerable to extreme values (for example, inflated or undervalued prices), which may distort the final result.

This method helps to eliminate the influence of extreme values. The algorithm works as follows:

• Asset prices are collected from several sources.

• All values are sorted in ascending order.

• The average value (median) is selected from the list.

For example, if the sources provided the following prices $SOL: $100, $102, $105, $110, $500, then the median price will be 105. This allows you to exclude the abnormal value ($500) from the calculation, providing a more reliable result.

This indicator takes into account not only the price of the asset, but also the volume on it. This allows you to determine the most significant market price based on liquidity. The algorithm looks like this:

• For each source, the asset price is multiplied by the trading volume.

• The values obtained are summed up.

• The total amount is divided by the total trading volume.

The VWAP formula:

For example, if exchange A provides a price of $100 with a volume of $1000, and exchange B provides a price of $110 with a volume of $500, the VWAP will be calculated as follows:

• Price and volume of exchange A: $100 × $1000 = $100,000

• Price and volume of exchange B: $110 × $500 = $55,000

• Total cost: $100,000 + $55,000 = $155,000

• Total volume: $1000 + $500 = $1500

• VWAP: $155,000 ÷ $1500 = $103.33

Thus, the final weighted asset price is $103.33. This method allows you to take into account market liquidity and reduces the impact of low-liquid exchanges with extreme prices.

• Data reliability. Using multiple sources reduces the risk of errors and manipulation.

• Stability of DeFi protocols. Correct data is needed to calculate liquidations, collateral claims, and exchange rates.

• Transparency. Users and developers can see how prices were calculated, which increases trust in the system.

Asset price aggregation is an important process to ensure the accuracy and reliability of data in blockchain ecosystems. Methods such as average price, median price, and VWAP are used to minimize the risk of manipulation and anomalies. These mechanisms continue to be improved to maintain the security and stability of decentralized financial applications.

My twitter:

https://x.com/zaxarqa

Asset price aggregation is one of the most important tasks of blockchain oracles, especially in the context of decentralized finance (DeFi). The accuracy of this data directly affects the stability and security of DeFi protocols, including credit platforms, decentralized exchanges (DEX), and stablecoin protocols. In this article, we will look at the main mechanisms that are used to aggregate asset prices.

This method involves collecting asset prices from several independent sources and calculating their average value. The process looks like this:

• Oracles request asset price data from various CEX and DEX.

• Prices are added up and divided by the number of sources.

• The resulting value is transferred to the blockchain for use in smart contracts.

The advantage of the method lies in its simplicity. However, it may be vulnerable to extreme values (for example, inflated or undervalued prices), which may distort the final result.

This method helps to eliminate the influence of extreme values. The algorithm works as follows:

• Asset prices are collected from several sources.

• All values are sorted in ascending order.

• The average value (median) is selected from the list.

For example, if the sources provided the following prices $SOL: $100, $102, $105, $110, $500, then the median price will be 105. This allows you to exclude the abnormal value ($500) from the calculation, providing a more reliable result.

This indicator takes into account not only the price of the asset, but also the volume on it. This allows you to determine the most significant market price based on liquidity. The algorithm looks like this:

• For each source, the asset price is multiplied by the trading volume.

• The values obtained are summed up.

• The total amount is divided by the total trading volume.

The VWAP formula:

For example, if exchange A provides a price of $100 with a volume of $1000, and exchange B provides a price of $110 with a volume of $500, the VWAP will be calculated as follows:

• Price and volume of exchange A: $100 × $1000 = $100,000

• Price and volume of exchange B: $110 × $500 = $55,000

• Total cost: $100,000 + $55,000 = $155,000

• Total volume: $1000 + $500 = $1500

• VWAP: $155,000 ÷ $1500 = $103.33

Thus, the final weighted asset price is $103.33. This method allows you to take into account market liquidity and reduces the impact of low-liquid exchanges with extreme prices.

• Data reliability. Using multiple sources reduces the risk of errors and manipulation.

• Stability of DeFi protocols. Correct data is needed to calculate liquidations, collateral claims, and exchange rates.

• Transparency. Users and developers can see how prices were calculated, which increases trust in the system.

Asset price aggregation is an important process to ensure the accuracy and reliability of data in blockchain ecosystems. Methods such as average price, median price, and VWAP are used to minimize the risk of manipulation and anomalies. These mechanisms continue to be improved to maintain the security and stability of decentralized financial applications.

My twitter:

https://x.com/zaxarqa