Real-Time Data Streaming in EmpyrealSDK: Bridging the Gap in DeFi
Originally published on Medium
The evolution of decentralized finance (DeFi) has positioned data at the heart of its growth, especially when it comes to accurate and timely price data. For developers who are keen to seamlessly integrate the latest pricing information into their products, EmpyrealSDK’s Data Streaming module stands out as an unmatched solution.
The Significance of Accurate Price Data in DeFi
Price data forms the bedrock of DeFi applications. Without knowing what assets are worth in real-time, how can you create effective trading strategies, measure portfolio values, or develop cross-margin systems that react to current price actions? Many projects, aiming to answer these questions, resort to external services to obtain this data, which often leads to latency and other related issues. We’ve identified this gap based on the feedback from various protocols, emphasizing the need for an efficient, internal solution.
Behind the Scenes: How the Data Streaming Module Works
The core of our data streaming system is built around an indexer that subscribes to all events emitted by platforms like UniswapV2 and token pair prices traded on that DEX, with more to be added in the future. This data is then channeled into various processors, including the price_monitor, which keeps an eye on Swap and Sync events to monitor price fluctuations and swaps in real-time.
Instead of resorting to the Ethereum RPC node for price data, which can be cumbersome, querying the EmpyrealSDK’s Data Streaming module datastore offers a swifter response, achieving speeds up to 10x faster.
Your Potential Unleashed: What You Can Do with Data Streaming
Imagine a system that automates trading strategies based on real-time data. With our price feed, developers can unleash their creativity to bring advanced trading strategies to life, in a fraction of the development time and with unparalleled access to live data. A stateful subscriber can be programmed to listen to the price, volume, and wallet feeds, making automated decisions based on predefined criteria. This could range from buying assets that show certain momentum or liquidity to selling them at predetermined appreciation levels.
With the Data Streaming module in your product, you would easily be able to automatically trade tokens which meet your predefined criteria, such as buying 0.05 ETH of any token that is a) not a honeypot, b) has had more than 20 buys in the first 30 minutes after launch from wallets that have a first transaction over 1 month ago, c) has at least $100K in liquidity, and then selling 50% once it has appreciated at least 250% and the rest once it has appreciated 400%, or selling everything if you lose more than 50%.
Powering The Future of DeFi
EmpyrealSDK’s Data Streaming module is not just a feature; it is an integral part of the ecosystem, aiming to provide more than just real-time transaction data on platforms like UniswapV2. By organizing and providing immediate access to data, we allow developers to preemptively answer queries, facilitate real-time strategy implementations, and, more importantly, build DeFi applications that are both responsive and efficient.