Curvefi-Fantom Exchange Trade Data

Curvefi-Fantom is a decentralized finance protocol built on the Fantom blockchain that offers several benefits compared to its direct competitors.

One of the primary benefits of using Curvefi-Fantom is its high efficiency and low fees. The Fantom blockchain is known for its fast transaction speeds and low fees, making it an ideal platform for decentralized applications like Curvefi-Fantom. Users can transact on the platform without having to worry about high gas fees or slow confirmation times.

Additionally, Curvefi-Fantom provides access to a wide range of stablecoin liquidity pools. This allows users to easily exchange stablecoins at low slippage rates, ensuring that they are able to trade stablecoins at their desired pegged value. The platform also supports various stablecoin types, including popular ones like USDT, DAI, and USDC, which gives users flexibility in managing their stablecoin portfolios.

Furthermore, Curvefi-Fantom offers a high degree of security and trustlessness. Transactions on the platform are executed in a decentralized manner, eliminating the need for intermediaries and reducing the risk of fraud or manipulation. The protocol is audited and subject to continuous security checks to ensure the safety of user funds.

Compared to its direct competitors in the decentralized finance space, such as Uniswap and Sushiswap, Curvefi-Fantom's benefits lie in its low fees, fast transaction speeds, and access to a wide range of stablecoin liquidity pools. These advantages make Curvefi-Fantom an attractive option for users looking for an efficient and cost-effective decentralized finance solution on the Fantom blockchain.

DIA offers APIs & oracles for web3. With their price feed you can access price data for cryptocurrencies, NFTs, Liquid Staked Tokens (LSTs) and more.


Curve.fi is a decentralized exchange protocol that aims to provide low-slippage trades for stablecoins. Curvefi-Fantom is a version of Curve that is specifically designed to run on the Fantom blockchain.


Fantom is a high-performance and scalable blockchain platform that uses a unique consensus algorithm called Lachesis. This algorithm allows for parallel processing of transactions, leading to fast confirmation times and high throughput. The Fantom blockchain also supports smart contracts, enabling developers to build decentralized applications (DApps) on top of it.


Curvefi-Fantom leverages the underlying technology of the Fantom blockchain to enable users to trade stablecoins with minimal slippage. Slippage refers to the difference between the expected price of a trade and the actual executed price. Traditional decentralized exchanges often suffer from high slippage due to liquidity fragmentation across different pools.


To address this issue, Curvefi-Fantom pools together liquidity from different sources, such as other decentralized exchanges, and uses advanced algorithms to optimize trades. This allows users to trade stablecoins with minimal slippage, making Curvefi-Fantom an attractive option for trading stablecoins on the Fantom blockchain.


In summary, Curvefi-Fantom is a decentralized exchange protocol that operates on the Fantom blockchain. It leverages Fantom's high-performance and scalable technology to provide low-slippage trades for stablecoins, improving the user experience for traders on the Fantom network.

DIA fetches trade data from Curvefi-Fantom by using their comprehensive data management strategy. When it comes to DeFi and NFT exchanges, DIA employs different approaches to scrape trade data depending on the type of exchange.

For centralized exchanges like Coinbase, Kraken, and Binance, DIA uses Rest APIs or WebSocket APIs to directly collect trades from exchange databases. This allows them to retrieve trading data as close to the data source as possible, ensuring high precision. The frequency of data collection varies from 1 to 7 seconds, depending on the exchange.

On the other hand, for decentralized exchanges, DIA collects data by subscribing to swap events in liquidity pools on various blockchains. This means that DIA retrieves trading data directly from the blockchain itself, enhancing data accuracy. Examples of decentralized exchange sources include Uniswap, curve.finance, and PancakeSwap.

When it comes to NFT marketplaces, DIA captures live trading data by integrating with the marketplaces' smart contracts. They retrieve data with a retrieval period ranging from 20 seconds to 1 minute, effectively covering all NFT transactions happening in real-time. By doing this, DIA ensures data precision from the broader NFT market, as they don't rely on unreliable bids and offers data.

With this comprehensive approach, DIA is able to provide highly accurate and customizable price feeds for a wide range of cryptocurrencies, NFTs, and other digital assets.

DIA follows a specific process to compute trade data from Curvefi-Fantom and build price feed oracles. The process differs depending on the type of exchange involved, whether it's a DeFi or NFT exchange.

For DeFi exchanges, such as Curvefi-Fantom, DIA applies a two-step process to compute trade data.

Step 1 involves data cleaning and outlier detection. This step ensures that the price estimation process is resilient against trades with prices that deviate significantly from the market price. To achieve this, DIA performs data cleaning and removes outliers, avoiding the use of data that is far from the median. The Interquartile Range (IR) filter is applied to exclude data points and sets that lie outside an acceptable range relative to the interquartile range. This helps prevent misaligned price data caused by low-volume or illiquid markets.

Step 2 entails the application of price determination methodologies. DIA uses trade-based price determination methodologies to compute a single USD price value for each asset. One example is the Volume Weighted Average Price (VWAP) methodology, which considers the different volumes of trades by weighting them accordingly. Another example is the Moving Average with Interquartile Range Filter (MAIR) methodology, which creates blocks of trades based on timestamp and calculates the weighted average price for each block.

On the other hand, when building price oracles for NFT collections, DIA follows a different process. To determine the floor price of an NFT collection, the on-chain trade data is processed in two steps.

Step 1 involves feeding the data through cleansing filters to exclude market outliers and manipulation techniques. This ensures that the collected data accurately represents the collection's value and prevents manipulation by malicious actors.

Step 2 applies pricing methodologies to determine the final price point. DIA offers various methodologies, including the Floor Price methodology, which provides the lowest sale price of an NFT collection recorded on the blockchain during a specific time window. Additionally, DIA offers the Moving Average of Floor Price methodology, which returns the moving average of a collection's floor price. These methodologies are customizable and can be adjusted based on the specific use case.

By following these processes, DIA is able to compute trade data and build price feed oracles for both DeFi and NFT exchanges, providing accurate and reliable price information to various applications and platforms.