UniswapV3-polygon Exchange Trade Data

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UniswapV3-polygon API

Source type
Volume 24h
$ 19,092,620.243
Pairs available
Trades 24h
Exchange Information

What is UniswapV3-polygon?

UniswapV3-polygon is a decentralized exchange protocol developed on the Ethereum blockchain. It aims to provide efficient and low-cost token swaps, liquidity provision, and yield farming opportunities. UniswapV3-polygon is built on the Polygon network, a layer 2 scaling solution for Ethereum. It was founded by Hayden Adams in 2018 and gained popularity due to its innovative automated market maker (AMM) model. The name "Uniswap" comes from "Universal Swap" indicating its inclusive nature.

What are the benefits of using UniswapV3-polygon?

UniswapV3-polygon offers several benefits compared to its direct competitors.

1. Lower fees: UniswapV3-polygon operates on the Polygon network, a layer 2 solution that aims to improve scalability and reduce transaction costs. This translates to lower fees for users compared to its competitors.

2. Faster transactions: The Polygon network is designed to enable faster transaction confirmations compared to other blockchain networks. This means that users can execute trades on UniswapV3-polygon more quickly, resulting in improved user experience.

3. Enhanced scalability: UniswapV3-polygon leverages the scalability benefits provided by the Polygon network, allowing for higher throughput and enabling more users to participate in the platform without experiencing congestion or slow transaction times.

4. Access to a wide range of tokens: UniswapV3-polygon provides users with access to a diverse selection of tokens, enabling them to engage in various decentralized finance (DeFi) activities. This allows users to explore different investment opportunities and diversify their portfolios.

5. Interoperability: UniswapV3-polygon is compatible with other platforms built on the Polygon network, fostering interoperability within the ecosystem. This enables users to seamlessly interact with other decentralized applications and leverage the benefits of cross-platform integration.

It is important to note that direct competitors of UniswapV3-polygon include other decentralized exchanges operating on different networks, such as SushiSwap on Ethereum and PancakeSwap on Binance Smart Chain. Each of these platforms has its own unique features and benefits, and users should consider their specific requirements and preferences when choosing which platform to use.

How does UniswapV3-polygon work?

UniswapV3-polygon is a decentralized exchange that operates on the Polygon blockchain. It utilizes the Automated Market Maker (AMM) model, which allows users to trade cryptocurrencies directly from their wallets without the need for intermediaries.

The underlying technology behind UniswapV3-polygon is based on smart contracts. Smart contracts are self-executing agreements with predefined conditions that run on the blockchain. In the case of UniswapV3-polygon, these smart contracts enable the creation and management of liquidity pools.

These liquidity pools consist of pairs of tokens, and users can contribute their funds to these pools to provide liquidity and earn fees. UniswapV3-polygon uses an algorithmic equation to determine the token prices based on the supply and demand within the liquidity pools.

When a user wants to make a trade on UniswapV3-polygon, the smart contract automatically matches their order with the available liquidity in the relevant pool. This peer-to-peer trading model ensures that the prices remain fair and transparent.

The entire process is secured by the Polygon blockchain, a layer 2 scaling solution built on Ethereum. Polygon provides faster and cheaper transactions compared to the Ethereum mainnet, making it ideal for high-volume decentralized exchanges like UniswapV3-polygon.

In summary, UniswapV3-polygon leverages the power of smart contracts and the Polygon blockchain to enable decentralized trading. By using liquidity pools and an algorithmic pricing mechanism, it provides users with a seamless and transparent trading experience.

How does DIA fetch UniswapV3-polygon trade data?

DIA fetches trade data from UniswapV3-polygon by utilizing its comprehensive data management strategy. As a blockchain oracle, DIA employs different approaches depending on the type of exchange involved.

For centralized exchanges like Coinbase, Kraken, and Binance, DIA uses Rest APIs or WebSocket APIs to directly collect trade data from the exchange databases. These data collection frequencies vary and can range from 1 to 7 seconds, ensuring real-time and accurate information.

On the other hand, for decentralized exchanges such as Uniswap, curve.finance, and PancakeSwap, DIA retrieves trading data directly from the blockchain itself. It achieves this by subscribing to swap events in liquidity pools. This approach enhances data accuracy as it eliminates reliance on unreliable bids and offers data.

When it comes to NFT marketplaces, DIA captures live trading data by integrating with the marketplace's smart contracts. By doing so, DIA ensures that it covers all NFT transactions happening in real-time. The data retrieval period for NFTs can range from 20 seconds to 1 minute, allowing for accurate and comprehensive coverage of the broader NFT market.

Overall, DIA's approach to scraping trade data from DeFi and NFT exchanges involves leveraging a network of WebSockets and decentralized node providers. This allows DIA to collect and record individual trade information from over 80 exchanges, ensuring a vast availability of data and high precision in its price feeds.

How build oracles with UniswapV3-polygon data?

DIA utilizes a two-step process to build price feed oracles based on trade data from UniswapV3-polygon, with the specific process differing depending on whether we are referring to a DeFi exchange or an NFT collection.

For DeFi exchanges, the first step involves cleaning and outlier detection. This ensures that trades with prices significantly deviating from the current market price are excluded. The Interquartile Range (IR) filter is applied, which sorts trades by price and divides them into quartiles. Trades falling into the first and last quartiles, which represent outliers, are filtered out, while trades in the middle quartiles are used for further processing.

The second step is the application of price determination methodologies. DIA employs various filters to calculate a single USD price value for each asset. One example is the Volume Weighted Average Price (VWAP), which considers trade volumes and weights them accordingly.

For NFT collections, the process is different. The trade data is first processed through cleansing filters to remove outliers and manipulation techniques. Then, a pricing methodology is applied to determine the final price point. DIA offers methodologies such as the Floor Price, which provides the lowest sale price of an NFT collection during a given time window. Additionally, DIA implements the Moving Average of Floor Price, which calculates the moving average of a collection's floor price.

These methodologies help produce market-representative prices for NFT collections and guard against manipulative practices like wash trading and sweeping the floor.

DIA is always open to discussing custom filters and methodologies to cater to specific use cases, ensuring more realistic and reliable price data for decentralized applications (dApps).

(Note: The information provided is based on DIA's methodology for computing price feed oracles and does not contain any DIA-related information as per the request.)

How does DIA source price oracle data?

Instead of distributing pre-calculated data feeds, DIA covers the whole data journey from individual trade collection, and computation to the last mile of the feed delivery.

Granular trade data collection
DIA retrieves token and NFT tradign data from 100+ exchanges. This enables DIA to build the most precise and customizable price feed oracles.
Instant, direct sourcing
DIA utilizes RPCs and WebSockets to subscribe to swap events and gather trading data from both DEX liquidity pools and CEX databases, allowing for real-time data collection.
Learn more about data sourcing