实时Memecoin交易数据是一个新的市场机会

Memecoin Trading最近获得了很多知名度，像Solana上的Pump Fun和Tron上的Sun Pump这样的玩家获得了大部分牵引力

Memecoin trading has gained a lot of popularity recently, with players like Pump Fun on Solana and Sun Pump on Tron getting most of the traction with around 140 million trades last week. The no. of daily traders hitting more than 100k on Pump Fun and TPS (transactions per second) of around 4k further solidify this claim.

Memecoin Trading最近获得了很多知名度，上周，Tron上的Pump Fun和Tron上的Sun Pump等球员在上周获得了大部分牵引力，上周大约有1.4亿美元的交易。不。在每日交易者中，大约4K的泵趣味和TPS（每秒交易）击中了超过100K，进一步巩固了这一主张。

These platforms allow their users to launch their meme coin with a single click, which could also be traded on other exchanges after they complete their bonding curve and graduate from the platform. Also, the user is rewarded with 0.5 SOL after the token they created completes the bonding curve as shown in the image below.

这些平台使他们的用户可以单击一键启动自己的模因硬币，在完成粘结曲线并从平台上毕业后，也可以在其他交易所进行交易。同样，在令牌创建后，用户将获得0.5溶胶的奖励，完成了粘结曲线，如下图所示。

This rise in popularity had provided algo traders with a new market to try out their strategies. However, most of these strategies would require trade and market-related data like volume, liquidity, and the number of traders involved at a very low latency to be profitable.

这种受欢迎程度的增长为算法商提供了一个新市场来尝试他们的策略。但是，这些策略中的大多数都需要贸易和与市场相关的数据，例如数量，流动性以及涉及非常低潜伏期的交易者的数量。

Algo traders, HFT firms, and trading bots such as GMGN, BullX, and many more require low latency to react to market events faster than their competitors, providing a significant advantage in volatile market conditions.

Algo交易员，HFT公司和交易机器人（例如GMGN，BullX等人）需要低潜伏期才能比其竞争对手更快地对市场事件做出反应，从而在波动的市场条件下具有显着优势。

Challenges in Getting On-Chain Data with Low Latency

获取低潜伏期的链链数据的挑战

Indexing in real-time presents several challenges, especially when building your own nodes:

实时索引提出了一些挑战，尤其是在建立自己的节点时：

The network can manage thousands of transactions per second (TPS). With 6 million transactions in 12 hours, the enormous network growth requires large servers to manage the data

网络每秒可以管理数千笔交易（TPS）。在12小时内有600万笔交易，巨大的网络增长需要大型服务器来管理数据

To keep up with this high transaction rate in real time, efficient streaming and processing mechanisms are essential.

为了实时跟上高交易率，有效的流媒体和处理机制至关重要。

ABI (Application Binary Interface) decoding is resource-intensive. Different smart contracts have varying structures. Furthermore, smart contracts can trigger multiple internal transactions (internal calls) that need to be tracked.

ABI（应用程序二进制界面）解码是资源密集的。不同的智能合约具有不同的结构。此外，智能合约可以触发需要跟踪的多个内部交易（内部呼叫）。

Blockchain data is append-only, but it also requires indexing, partitioning, and aggregation. Querying data in real-time while new information is being ingested can lead to locking issues and performance bottlenecks.

区块链数据仅附加，但还需要索引，分区和聚合。在摄入新信息时实时查询数据可能会导致锁定问题和性能瓶颈。

Data moves through several transformation stages (Parsing → Transformation → Storage → Querying). Each of these steps introduces some processing delay, making it increasingly difficult to achieve real-time latency as the pipeline lengthens.

数据通过多个转换阶段移动（解析→转换→存储→查询）。这些步骤中的每一个都引入了一些处理延迟，因此随着管道的延长，实现实时延迟越来越困难。

High disk I/O operations result from reading and writing large blockchain datasets. Additionally, network congestion can affect data streaming speeds, particularly when using technologies like WebSockets, Kafka, or message queues.

高磁盘I/O操作是由于读取和编写大型区块链数据集而产生的。此外，网络拥堵会影响数据流速度，尤其是在使用WebSocket，Kafka或消息队列等技术时。

What are some low-latency options for Getting Memecoin data?

获取MEMECOIN数据的低延迟选项有哪些？

Bitquery provides real-time data on pumpfun and sunpump via graphQL subscriptions.

Bitquery通过GraphQL订阅提供了Pumpfun和Sunpump的实时数据。

You can build applications like portfolio trackers, and real-time analytics dashboards for tracking prices, monitoring token creation in real time, checking bonding curve completion, and getting real-time market liquidity.

您可以构建诸如投资组合跟踪器之类的应用程序，以及用于跟踪价格的实时分析仪表板，实时监视令牌创建，检查粘结曲线的完成以及获得实时市场流动性。

Bitquery’s Kafka streams are a robust alternative to WebSocket-based streaming, particularly for large-scale, distributed systems that can process data in a multi-threaded fashion.

Bitquery的Kafka流是基于WebSocket的流媒体的强大替代品，尤其是对于可以以多线程方式处理数据的大规模分布式系统。

Moreover, unlike other similar large-scale solutions, Kafka is better for scalability as multiple consumers may split the load to consume one topic, automatically redistributing the load on them. The connection protocol is also more reliable than the WebSocket interface and is better optimized for persistent connections.

此外，与其他类似的大规模解决方案不同，Kafka更好地用于可扩展性，因为多重消费者可以将负载分开以消耗一个主题，从而自动重新分配其负载。连接协议也比WebSocket接口更可靠，并且可以更好地优化持续连接。

For big players like institutional traders, investment bankers, and HFT firms that manage a large portfolio the Kafka streams solution is preferable as it avoids any data loss or timeout and is better in terms of scalability and latency. Also, for trading strategies that require older data like trend-based strategies Kafka is a much better option as it also provides historical data.

对于管理大型投资组合的机构交易员，投资银行家和HFT公司等大型参与者，Kafka Streams解决方案是可取的，因为它可以避免任何数据丢失或超时，并且在可伸缩性和延迟方面更好。同样，对于需要旧数据（例如基于趋势的策略）的交易策略，Kafka是一个更好的选择，因为它也提供了历史数据。

Memecoin markets like Pump Fun and Sun Pump have created exciting opportunities for traders and analysts. The choice of streaming solution depends on the users’ requirements. Understanding these options and their trade-offs will help traders and developers make informed decisions in this fast-evolving market.

诸如Pump Fun和Sun Pump之类的Memecoin市场为贸易商和分析师创造了令人兴奋的机会。流媒体解决方案的选择取决于用户的要求。了解这些选择及其权衡将有助于交易者和开发人员在这个快速发展的市场中做出明智的决定。

This post was originally posted on ChainEdge.

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