實時Memecoin交易數據是一個新的市場機會

Memecoin Trading最近獲得了很多知名度，像Solana上的Pump Fun和Tron上的Sun Pump這樣的玩家獲得了大部分牽引力

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最近獲得了很多知名度，上週，Tron上的Pump Fun和Tron上的Sun Pump等球員在上週獲得了大部分牽引力，上周大約有1.4億美元的交易。不。在每日交易者中，大約4K的泵趣味和TPS（每秒交易）擊中了超過100K，進一步鞏固了這一主張。

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.

這些平台使他們的用戶可以單擊一鍵啟動自己的模因硬幣，在完成粘結曲線並從平台上畢業後，也可以在其他交易所進行交易。同樣，在令牌創建後，用戶將獲得0.5溶膠的獎勵，完成了粘結曲線，如下圖所示。

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.

這種受歡迎程度的增長為算法商提供了一個新市場來嘗試他們的策略。但是，這些策略中的大多數都需要貿易和與市場相關的數據，例如數量，流動性以及涉及非常低潛伏期的交易者的數量。

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交易員，HFT公司和交易機器人（例如GMGN，BullX等人）需要低潛伏期才能比其競爭對手更快地對市場事件做出反應，從而在波動的市場條件下具有顯著優勢。

Challenges in Getting On-Chain Data with Low Latency

獲取低潛伏期的鍊鍊數據的挑戰

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

實時索引提出了一些挑戰，尤其是在建立自己的節點時：

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

網絡每秒可以管理數千筆交易（TPS）。在12小時內有600萬筆交易，巨大的網絡增長需要大型服務器來管理數據

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

為了實時跟上高交易率，有效的流媒體和處理機制至關重要。

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（應用程序二進制界面）解碼是資源密集的。不同的智能合約具有不同的結構。此外，智能合約可以觸發需要跟踪的多個內部交易（內部呼叫）。

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.

區塊鏈數據僅附加，但還需要索引，分區和聚合。在攝入新信息時實時查詢數據可能會導致鎖定問題和性能瓶頸。

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.

數據通過多個轉換階段移動（解析→轉換→存儲→查詢）。這些步驟中的每一個都引入了一些處理延遲，因此隨著管道的延長，實現實時延遲越來越困難。

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.

高磁盤I/O操作是由於讀取和編寫大型區塊鏈數據集而產生的。此外，網絡擁堵會影響數據流速度，尤其是在使用WebSocket，Kafka或消息隊列等技術時。

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

獲取MEMECOIN數據的低延遲選項有哪些？

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

Bitquery通過GraphQL訂閱提供了Pumpfun和Sunpump的實時數據。

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.

您可以構建諸如投資組合跟踪器之類的應用程序，以及用於跟踪價格的實時分析儀表板，實時監視令牌創建，檢查粘結曲線的完成以及獲得實時市場流動性。

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流是基於WebSocket的流媒體的強大替代品，尤其是對於可以以多線程方式處理數據的大規模分佈式系統。

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，與其他類似的大規模解決方案不同，Kafka更好地用於可擴展性，因為多重消費者可以將負載分開以消耗一個主題，從而自動重新分配其負載。連接協議也比WebSocket接口更可靠，並且可以更好地優化持續連接。

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.

對於管理大型投資組合的機構交易員，投資銀行家和HFT公司等大型參與者，Kafka Streams解決方案是可取的，因為它可以避免任何數據丟失或超時，並且在可伸縮性和延遲方面更好。同樣，對於需要舊數據（例如基於趨勢的策略）的交易策略，Kafka是一個更好的選擇，因為它也提供了歷史數據。

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.

諸如Pump Fun和Sun Pump之類的Memecoin市場為貿易商和分析師創造了令人興奮的機會。流媒體解決方案的選擇取決於用戶的要求。了解這些選擇及其權衡將有助於交易者和開發人員在這個快速發展的市場中做出明智的決定。

This post was originally posted on ChainEdge.

該帖子最初發佈在鏈接上。