Samecoin trading gained popularity recently, with players like Pump Fun on Solana and Sun Pump on Tron obtaining most of the traction with around 140 million professions last week. The no. Daily merchants reaching more than 100,000 on Pump Fun and TPS (transactions per second) of approximately 4K further solidifies this complaint.
These platforms allow their users to launch their memes part with a single click, which could also be exchanged on other scholarships after finishing their liaison curve and obtaining their diploma from the platform. In addition, the user is rewarded with 0.5 soil after the token he created finished the link curve as indicated in the image below.
This increase in popularity had provided Algo traders with a new market to try their strategies. However, most of these strategies would require market and market data such as volume, liquidity and number of traders involved in very low latency to be profitable.
Algo traders, HFT companies and commercial robots such as GMGN, Bullx and many others require low latency to react to market events faster than their competitors, offering a significant advantage in volatile market conditions.
Challenges to obtain data on the chain with a low latency
Real -time indexing has several challenges, especially when you build your own nodes:
- High data flow and volume
The network can manage thousands of transactions per second (TPS). With 6 million transactions in 12 hours, the enormous growth of the network requires large servers to manage data to follow this high transaction rate in real time, effective diffusion and processing mechanisms are essential.
- Blockchain data decoding and transformation
The ABI decoding (binary application interface) is at high intensity of resources. Different smart contracts have variable structures. In addition, intelligent contracts can trigger several internal transactions (internal calls) which must be followed.
- Real -time database performance
Blockchain data is only annexed, but it also requires indexing, partitioning and aggregation. Questioning data in real time while new information is ingested can cause locking problems and performance bottlenecks.
- Latency in distributed infrastructure
The data move through several transformation stages (analysis → transformation → storage → question). Each of these stages introduces a certain delay in treatment, which makes latency in real time more and more difficult as the pipeline lengthens.
- Network and E / S strain bottle
High disc operations result from reading and writing large blockchain data sets. In addition, network congestion can affect data streaming speeds, especially when using technologies such as webscole lines, kafka or message queues.
What are the low latency options to get same data?
- Streaming via graphql subscriptions
Bitquery provides real -time data on Pumpfun and Sunpump via Graphql subscriptions.
You can create applications such as wallet trackers and real -time analytical dashboards for pricing monitoring, monitoring token creation in real time, verification of the completion of the link curve and obtaining market liquidity in real time.
- Streaming distribution with Kafka
Bitquery Kafka flows are a robust alternative to web -based streaming, especially for large -scale distributed systems that can process data in a multiplied manner.
In addition, unlike other similar large -scale solutions, Kafka is better for scalability because several consumers can divide the load to consume a subject, automatically redistributing the load on it. The connection protocol is also more reliable than the WebSocket interface and is better optimized for persistent connections.
For major players such as institutional traders, investment bankers and HFT companies that manage a large portfolio, the Kafka Streams solution is preferable because it avoids any loss or delay in data expiration and is better in terms of scalability and latency. In addition, for trading strategies that require older data such as trend -based strategies, Kafka is a much better option because it also provides historical data.
The same markets like Pump Fun and Sun Pump have created exciting opportunities for merchants and analysts. The choice of the streaming solution depends on the requirements of users. Understanding these options and their compromises will help traders and developers to make informed decisions on this rapidly evolving market.
