How to Track High-Frequency Trading and Liquidity Data on Sei Network

On-Chain

24 July 2026

The core workflow for tracking high-frequency trading (HFT) and liquidity data on Sei Network relies on a combined stack of three categories of tools: custom SQL queries on Dune for deep raw data analysis, Nansen and Artemis for real-time capital flow and smart money trend tracking, and Seiscan for granular, transaction-level verification. Below is a fully actionable step-by-step operation guide.

1. Customize High-Frequency Trading Data Tracking with Dune SQL Templates

Use case overview: Dune is the core tool for querying Sei on-chain raw data, with native support for direct SQL access to underlying transaction datasets. Sei official provides pre-built SQL templates optimized for game and DeFi analysis, allowing users to quickly build fully customized analytics dashboards without starting from scratch.

Step-by-step operation:

Sei officially launched on the Dune platform back in July 2024. Dune currently indexes all EVM component data on the Sei chain, including core data tables such as sei.transactions and sei.logs.

Scenario A: Track active users of your game or decentralized application. Use the official pre-built "Daily Active Users (DAU)" template, replace the placeholder addresses with your target contract addresses, and you can directly query the daily unique user count with the following script:

WITH my_game_contracts AS (
SELECT address FROM UNNEST(ARRAY[
0xYOUR_CONTRACT_ADDRESS_1,
0xYOUR_CONTRACT_ADDRESS_2
]) AS _u(address)
)
SELECT
t.block_date,
COUNT(DISTINCT t."from") AS daily_active_users
FROM sei.transactions AS t
JOIN my_game_contracts AS c ON t."to" = c.address
WHERE t.success = TRUE
GROUP BY 1 ORDER BY 1 DESC

Scenario B: Monitor daily total transaction volume and activity trends. Use the official "Daily Transaction Volume" template to count the number of daily transactions for your specified target contracts.

Completion milestone: You can pull verified active user or transaction volume data from at least one custom query on your own Dune dashboard, instead of only referencing pre-made public dashboards.

Prerequisites: Register for a Dune account, and master basic SQL syntax including SELECT, JOIN, GROUP BY etc. If you are not familiar with SQL, you can start by exploring existing public Sei dashboards first.

Common failure causes: Entering incorrect contract addresses, or inputting non-EVM native contract addresses. Dune only indexes Sei's EVM component data, and Cosmos native contract data is not included in Dune's current datasets.

2. Track Smart Money and Capital Flows with Nansen and Artemis

Use case overview: Nansen and Artemis provide a high-level, participant-focused perspective of "who is making moves, and where capital is flowing", which is more suited for judging market direction and user behavior patterns than raw unlabeled transaction data.

Step-by-step operation:

Sei has officially integrated Nansen, Artemis and Dune as its core market intelligence layer.

Artemis: Provides network-level real-time data, including cross-ecosystem user activity, capital flow metrics, and pre-built core KPI dashboards for Sei.
Nansen: Builds on top of Artemis's network-level data, adding exclusive wallet labeling and entity classification features, allowing users to easily distinguish between transaction behaviors of "smart money" addresses and regular retail users.

Completion milestone: You can clearly identify which protocol or trading pair on Sei received the most net capital inflow in the past 24 hours via the Nansen or Artemis dashboards.

Prerequisites: You need to register for a Nansen account to access full features. For Artemis, you can submit an access application via the form published in Sei's official documentation, with an approval processing time of roughly 2-4 working days.

Common failure causes: Only looking at raw transaction volume without tracking who the transacting parties are. Nansen's wallet labeling system is the key to distinguishing institutional entities, smart money addresses and retail users -- you cannot evaluate the quality of capital flow only by raw volume numbers.

3. Conduct Granular Transaction Verification with Seiscan

Use case overview: Seiscan is Sei's exclusive block explorer powered by Etherscan, designed for one-by-one verification of transaction details -- especially when you need to confirm if a specific high-frequency transaction was successful, how much gas it consumed, and whether the involved contract addresses are correct.

Step-by-step operation:

Seiscan is Sei's official block explorer, which guarantees every transaction is readable, queryable and auditable even under ultra-high throughput conditions (including after the upcoming Sei Giga upgrade that will support over 200k TPS).

Enter the target TxID or wallet address in the search bar to view the following information:

Transaction status (Success/Failed)
Gas consumption and total transaction fees
Involved contract addresses and called function signatures

Completion milestone: You can track a specific high-frequency transaction via Seiscan, and confirm exactly which block it was included in, what timestamp it settled at, and how much gas it cost for final confirmation.

Prerequisites: Access to the Seiscan website. No account registration is required to use all core features.

Common failure causes: Trying to search with Cosmos native format addresses on Seiscan. Seiscan indexes Sei's EVM component data, so you need to use EVM-format 0x-prefixed addresses or TxIDs for valid lookups.

Next action item:

Spend 10 minutes on this task today: Log into Dune, navigate to public dashboards related to the Sei ecosystem, and locate the "Daily Active Addresses" metric. Per Messari's published forecast, Sei is expected to hit roughly 1 million daily active users and 2.3 million daily transactions in Q4 2025. Compare the current real-time metrics against that forecast: if daily active users are still growing, it indicates Sei's high-frequency trading infrastructure is continuing to attract new participants. If the metrics are declining, cross-reference the block data on Seiscan to identify which categories of transactions are driving the drop.