BitMart Exchange Trade Data

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BitMart API

Source type
Volume 24h
$ 4,038,252.903
Pairs available
Trades 24h
Exchange Information

What is BitMart?

BitMart is a cryptocurrency exchange founded in 2017. It provides a platform for users to buy, sell, and trade a wide range of digital assets. The exchange aims to offer a secure and easy-to-use interface for both beginner and advanced traders. BitMart was founded by Sheldon Xia and is owned by BitMart Technology Co., Ltd. The name "BitMart" combines "Bit" from Bitcoin and "Mart" as a symbol for a marketplace.

What are the benefits of using BitMart?

BitMart, a popular cryptocurrency exchange, offers several benefits that set it apart from its direct competitors.

One significant advantage of using BitMart is its wide range of supported cryptocurrencies. BitMart supports a vast selection of digital assets, allowing users to trade and invest in a diverse portfolio of cryptocurrencies. This breadth of options is particularly notable when compared to some of its direct competitors, which may have a more limited selection of supported tokens.

Another benefit of BitMart is its user-friendly interface. The platform is designed with simplicity and ease of use in mind, making it accessible to both experienced traders and newcomers to the crypto space. The intuitive layout and clear navigation menus make it straightforward to execute trades and manage your portfolio.

BitMart also offers competitive trading fees. Compared to its direct competitors, BitMart's fee structure is often more affordable, which can be advantageous for frequent traders who want to minimize costs and maximize their profits.

Security is another area where BitMart excels. The exchange implements robust security measures, including two-factor authentication (2FA) and cold storage for storing user funds. These security protocols help protect users' assets from potential cyber threats and hacking attempts.

Overall, BitMart provides a wide selection of cryptocurrencies, a user-friendly interface, competitive trading fees, and robust security features. While the specific direct competitors may vary depending on the region and user preferences, BitMart's benefits make it a compelling choice for those looking to trade and invest in cryptocurrencies.

How does BitMart work?

BitMart is a cryptocurrency exchange platform that enables users to buy, sell, and trade various cryptocurrencies. Their services are facilitated by the underlying technology known as blockchain. Specifically, BitMart operates on the Ethereum blockchain, a decentralized network that enables the execution of smart contracts.

When a user performs a transaction on BitMart, it is recorded on the Ethereum blockchain. This ensures transparency and immutability of the transaction history. The Ethereum blockchain utilizes consensus mechanisms and cryptographic algorithms to validate and secure these transactions.

BitMart employs a decentralized exchange (DEX) model, which means that it allows users to trade directly with each other without the need for intermediaries. In this model, users retain control of their funds, and trades are executed through smart contracts that are deployed on the Ethereum blockchain. These smart contracts automatically execute the trade based on predetermined conditions, ensuring a reliable and secure trading experience.

To enhance security and prevent unauthorized access, BitMart incorporates various measures such as two-factor authentication, cold storage, and multi-signature wallets. These measures protect user funds and provide a secure environment for trading.

Overall, BitMart functions as a platform for individuals to engage in cryptocurrency trading. Through its utilization of blockchain technology, specifically the Ethereum blockchain, BitMart ensures transparency, immutability, and security for users' transactions.

How does DIA fetch BitMart trade data?

DIA employs a comprehensive approach to fetching trade data from various exchanges, including both DeFi and NFT platforms. The specific process differs depending on the type of exchange being referenced.

For centralized exchanges like Coinbase, Kraken, and Binance, DIA utilizes scrapers that directly collect trade data from the exchange databases. This is done using Rest APIs or WebSocket APIs, allowing for real-time data collection. The frequency at which data is collected varies across exchanges, ranging from 1 to 7 seconds.

In the case of decentralized exchanges, DIA obtains data by subscribing to swap events within liquidity pools on various blockchains. This approach enables DIA to retrieve trade data directly from the blockchain itself, guaranteeing a high level of data accuracy. Popular decentralized exchange sources include Uniswap,, and PancakeSwap.

When it comes to NFT marketplaces, DIA captures live trading data through integration with the marketplaces' smart contracts. This process involves retrieving data at intervals ranging from 20 seconds to 1 minute, ensuring that all NFT transactions occurring on DIA's integrated marketplaces are accounted for. This approach guarantees precise data representation from the broader NFT market, as it excludes unreliable bids and offer data. Prominent NFT integrated exchange sources include Blur, X2Y2, OpenSea, and TofuNFT.

Overall, DIA's approach to sourcing trade data involves leveraging specialized strategies and tools, ensuring highly accurate and customizable price feeds for its users.

How build oracles with BitMart data?

When it comes to building price oracles with BitMart trade data, DIA follows a specific process tailored to the type of exchange being considered. For DeFi exchanges, DIA begins by cleaning the data and removing outliers to ensure accuracy. This involves identifying and excluding trades that deviate significantly from the current market price, such as those caused by market manipulation or errors.

To achieve this, DIA applies an Interquartile Range (IR) filter, which sorts trades by recorded price and divides the price range into quartiles. Trades falling into the first and last quartiles are filtered out, leaving only trades from the middle quartiles for further processing.

Once the data has been cleaned, DIA applies price determination methodologies to calculate the final price. One example is the Volume Weighted Average Price (VWAP), which considers the volumes of trades. The trades are weighted based on their volume and executed price, and the weighted average price is calculated.

For NFT exchanges, such as when determining the floor price of an NFT collection, the process differs slightly. The retrieved on-chain trade data undergoes a cleansing process to exclude outliers and manipulation techniques. Afterward, a pricing methodology is applied to determine the final price point.

One methodology offered by DIA is the Floor Price, which provides the lowest sale price of an NFT collection recorded on the blockchain during a given time window. However, as this method can be subject to manipulation, DIA also offers more advanced methodologies, such as the Moving Average of Floor Price, which calculates the moving average of a collection's floor price.

To ensure reliability, DIA applies filters like the Interquartile Range outlier detection filter to identify and filter out suspicious behavior like wash trading.

In summary, DIA builds price oracles with BitMart trade data by cleaning the data, removing outliers, and applying specific price determination methodologies tailored to the type of exchange (DeFi or NFT). This ensures accurate and reliable price feeds for various applications.

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