Trading Clusters
Module summary
The Real-Time Trading Cluster Trends module shows what each trading cluster across the network is doing right now.
Each tile captures the activity of a cluster of wallets with similar trading behavior, and the tokens shown are the ones currently trending within that group.
Hōkū continuously processes new blockchain data, often faster than leading explorers like Etherscan, so the list updates instantly as traders act. This gives you a live view of where attention and capital are moving across the entire market.
By looking at this view, you can:
See what’s trending inside each cluster. Discover which tokens are attracting different kinds of traders, from long-term holders to high-risk speculators.
Track momentum shifts in real time. Watch clusters rotate into new categories like DeFi, AI, or meme tokens as soon as activity begins.
Compare trader sentiment across groups. Identify whether profitable clusters are accumulating, reducing exposure, or chasing volatility.
Spot early signals. Since the system updates faster than standard explorers, you can often see trending tokens before they appear anywhere else.
This feature helps you observe collective trading behavior as it happens, transforming raw blockchain transactions into an organized view of real-time market dynamics. It’s a faster, more intelligent way to monitor where smart money and emerging narratives are moving on-chain.
Features
Network Toggle
The Network Toggle lets you switch between different blockchain networks instantly. You’ll find a simple selector that controls which network’s data you’re viewing at the top of the window.
Hōkū is currently live on Base, Ethereum, and BNB Smart Chain. When you change the network, every part of your dashboard — your portfolio, cluster position, trending tokens, and personalized recommendations — updates automatically to reflect your activity and relationships within that specific chain.
This makes it easy to monitor how your trading style and performance vary across networks, or to explore entirely different ecosystems with a single click. If you use multiple chains, switching networks ensures this module always shows accurate, real-time insights for the one you’re focused on.
All modules in Hōkū are network-specific except the Trade Signal Alerts page. That means you'll need to select a specific network to view its data on all other modules where this toggle is present
Trading Cluster Leaderboards
The cluster leaderboards show the top trending tokens across all active trading clusters in real time. Hōkū processes blocks faster than the leading block explorers, like Etherscan.
Each leaderboard tile represents one cluster, which is a group of traders who share similar behavior, such as holding periods, risk appetite, or token preferences. Within each tile, the top 10 tokens are ranked by recent trading activity inside that cluster. The higher a token appears, the faster it’s gaining traction among that group.
Each token entry displays the percentage of cluster wallets that have swapped that token in the selected time period, helping you quickly gauge whether the movement is broad and sustained or driven by a smaller set of traders. In the below example, 12.52% of all buy transactions across all network activity in the last 1 hour were associated with the CARV token.
Because data is updated block-by-block, these rankings shift dynamically as traders act. That values shown in each bar can update as frequently as every second.
Interpreting the data
Each leaderboard tile ranks tokens by their share of recent trading activity within a cluster.
This is calculated as:
It’s important to understand what this does, and does not, represent:
It does not mean that “X% of wallets in this cluster hold this token.” Holdings aren’t counted here — only recent trades are.
It does not mean that “the price of this token increased by X%.” Price changes are not factored into the ranking. A token can trend even if its price is flat or falling.
Sometimes, it doesn't even mean that “X% of traders recently bought this token.” If you're filter is set to "All Activity", major distribution events, like airdrops, will often show up in the leaderboards. In that case, those users may not have actually "bought" the token.
What it does mean:
a token near the top of the leaderboard is receiving a large share of attention from that cluster relative to everything else.
In short, the leaderboard measures where attention and transaction volume are flowing, not portfolio size, wallet ownership, or price performance. It’s a snapshot of behavioral momentum within each trader group — pure signal of what’s commanding focus on-chain right now. How you use the filters and interpret the data shown dictates exactly what conclusions you can draw from this information.
Controlling the layout
To tailor your view, you can hide clusters that aren’t relevant to your strategy or reorder tiles to prioritize the groups you follow most closely. For example, if you focus on short-term momentum plays, you might move higher-risk or high-turnover clusters to the top of your screen.
To rearrange the order that the clusters are shown, simply click the 
symbol shown on the far left of the cluster title bar. To hide a cluster, simply click the 
symbol shown on the far right of the cluster title bar.
If you've hidden any clusters, a new control will appear to the right of the filters.
Once clicked, you'll be given the opportunity to restore any of the hidden clusters into view.
Your Trading Cluster
When you connect your wallet, Hōkū automatically identifies which trading cluster your wallet belongs to — the group of traders whose behavior most closely matches yours. In the leaderboard view, that cluster’s tile is highlighted with a soft glow, making it easy to spot your position within the broader network.
This visual cue helps you focus on the group that best reflects your trading style, so you can immediately see what tokens your peers are trading in real time.
Trading Cluster Token Badges
Cluster Badges highlight special characteristics of tokens directly within the leaderboard, making it easy to spot noteworthy activity at a glance.
Each badge appears as a small icon on the token’s bar and signals when a token meets specific criteria within that cluster — for example, unusually high activity, new appearances, or sudden attention shifts.
Rocket Ship Badge
Hōkū includes a rocket ship badge 
, which marks tokens that are new or not recently seen on that network. These are tokens that have just started drawing interest from that group of traders, often signaling early momentum or discovery before the wider market reacts. In most cases, they're newly launched tokens but in very rare cases if existing token hasn't been transferred or swapped for a very long time, it will also receive this badge.
My Wallet Holdings Badge
When you connect a wallet and that wallet is currently holding a token balance for any token listed in the trending leaderboards, you'll see that called out with a wallet icon and a number, which represents your current balance for that token
More badges will be added over time to highlight other behavioral patterns — such as consistent popularity, extreme volatility, or rapid growth in transaction share.
These quick visual markers help you filter through the noise and instantly spot tokens worth a closer look, without needing to leave the leaderboard or analyze raw data.
Trading Cluster Descriptions
Each cluster in Hōkū has its own description panel that summarizes the overall behavior of the traders it represents. To display this panel, click the info button 
to the right of the trading cluster title.
These descriptions combine both quantitative and behavioral insights—showing how old the wallets are, how actively they trade, their general appetite for risk, and how profitable they’ve been relative to the rest of the network.
At the top, you’ll see a short written summary describing the cluster’s personality, such as “a group of older wallets who are high-risk takers and moderately profitable.” This gives immediate context about the traders driving the data you’re seeing.
Below that, you’ll find three gauges with values that range from 0 to 100.
Holding Score
This guage shows how long traders in this cluster typically hold their tokens before selling. higher values mean these traders hold their tokens longer.
Risk Score
This guage shows how much volatility or risk these traders usually take on in their positions. Higher values mean these traders make riskier trades.
Profit Score
This guage shows the cluster’s historical profitability compared to the wider network. Higher values mean these traders are more profitable.
Together, these metrics help you quickly understand what kind of traders make up each cluster. Whether you’re looking for stable, long-term holders or fast-moving, high-risk speculators, the cluster description panel lets you interpret leaderboard trends in context—so you can see not just what is trending, but who is driving it.
Trading Cluster Filters
The filter bar above the leaderboards lets you control exactly what type of trading activity you want to see.
These filters instantly update the data shown in all leaderboard tiles, allowing you to narrow the data to the behaviors or timeframes that matter most to you.
Together, these controls let you transform a global firehose of trading activity into a focused, meaningful view—so you can track exactly how different trader groups are moving, minute by minute or over broader market cycles.
Transaction Type
Selection Values: Buy or Sell
Choose whether to view Buy or Sell activity.
This helps you distinguish between accumulation trends (when clusters are buying) and exit behavior (when they’re selling).
Activity Source
Filter Values: All Activity or DEX only
Select All Activity to see all token transfer types or DEX only to filter down to only token swaps (i.e., trades).
This is useful if you want to focus on particular types of trading actions.
Stable Coin Visibility
Filter Values: Show Stable Coins or Hide Stable Coins
Use this toggle to Hide Stablecoins when you want to focus on speculative activity, or show them when analyzing liquidity flow and capital rotation.
Stable coins are hidden by default, so make sure to check this filter when attempting to identify risk-on and risk-off cycle shifts.
Time Window
Selection Values: 1H or 6H
Switch between 1 hour or 6 hour timeframes to see how quickly momentum is shifting. This setting controls how far back in time transactions are counted when calculating the percentages shown in the leaderboards.
Short windows highlight immediate reactions; longer windows smooth out volatility to reveal more sustained trends.
Usage tips
Spot early momentum before it hits the charts
By watching the leaderboards across clusters, you can see where attention is building before it becomes visible on price charts. When a new token suddenly jumps to the top of several clusters—especially those known for high-risk or early-entry behavior—it often signals the start of a narrative before broader traders catch on. These are the first signs of capital rotation that traditional analytics tools miss.
Identify which trader groups are driving the market
Not all surges are created equal. If a token trends primarily in long-term holder clusters, it may indicate confidence-based accumulation. But if the same token dominates short-term or high-turnover clusters, it might be fueled by quick speculation.
Comparing which groups are trading what helps you understand the character of a move—whether it’s conviction buying or short-term hype—and position yourself accordingly.
Quickly identify potential amongst newly launched tokens
Thousands of new tokens are launched every day, and separating the few with real traction from the noise is nearly impossible—until now. The cluster leaderboards make it immediately visible when a brand-new token starts gaining genuine activity. If a token with little prior history suddenly breaks into the top 10 of any cluster, it means a measurable share of real traders—not bots—are engaging with it. These early signals often precede broader discovery and can point to projects on the verge of rapid growth or viral momentum.
FAQ
How long will a token keep its rocket shipbadge?
A token will show the rocket badge any time in the first 2 days that it's found in a leaderboard.
How it works
While this module doesn’t directly involve the sophisticated machine learning models that power other parts of Hōkū, it still demonstrates one of the most technically advanced components of our infrastructure. It's a true real-time, on-chain analytics engine.
Unlike most explorers that rely on third-party APIs or delayed data indexers, Hōkū processes blockchain transactions the moment they’re finalized, using a custom pipeline we built from the ground up. Every trade, transfer, or liquidity action is captured directly from our own nodes, classified by trader behavior, and streamed into high-speed memory stores for instant aggregation.
The result is a living, continuously updating view of the market, one capable of showing how entire trading communities are moving before that movement appears anywhere else. This section explains how that real-time system works, from node ingestion to live WebSocket updates, and why Hōkū’s engineering architecture enables analytics that even the fastest explorers can’t replicate.
Like the other How it works section, it deals with technical concepts but we've done our best to distill it down to clear, understandable steps.
Step 1: Direct chain ingestion through our own nodes
All trading activity begins on-chain, and Hōkū listens directly to it, without intermediaries.
We operate our own full blockchain nodes across Base, Ethereum, and BNB Smart Chain. As each new block is produced, our parser immediately extracts relevant events such as token transfers, swaps, and liquidity movements.
Because we run and maintain this node infrastructure ourselves, we don’t rely on public RPC endpoints or indexers that introduce multi-second or even multi-minute delays. This gives Hōkū the ability to process blocks at the same speed they’re mined, forming the foundation for true real-time analytics.
Step 2: Mapping traders to behavioral clusters
Every wallet address seen in the transaction stream is mapped to its behavioral cluster, using the machine learning models from Hōkū’s 3D Wallet Explorer. For more information on those methods see the How it works section from the 3D Wallet Explorer page.
This precomputed mapping connects each wallet to a specific trader profile—such as long-term holders, short-term speculators, or momentum chasers.
[Wallet address] → [Cluster ID]The map is updated regularly by a separate pipeline, ensuring new wallets or changing behavior patterns are captured without slowing down the real-time system.
Step 3: Attribute every transaction to a cluster and token
As transactions stream in, Hōkū joins each one with the address→cluster map, allowing us to instantly determine which group of traders is responsible for every trade. Each event is tagged with two key identifiers: the cluster ID and the token involved.
This forms the live dataset that powers the leaderboards. The app continuously counts the number of transactions per token within each cluster over a defined time window.
A simple example: If Cluster 4 executes 1,000 transactions in the last hour, and 150 of them involve Token X, that token’s share for that cluster is:
Step 4: Real-time aggregation in Redis
All transaction events feed into a high-speed, in-memory database called Redis. Redis maintains rolling counters for each (cluster, token, time window) combination, efficiently updating totals as new transactions arrive and old ones expire.
Redis is optimized for microsecond-level writes and reads, allowing millions of concurrent updates per second without performance degradation.
Step 5: Stream updates to the front end via WebSocket
Instead of reloading data or polling an API, the app connects to our WebSocket gateway, which continuously pushes lightweight JSON updates.
When activity changes, only the affected clusters or tokens are re-rendered, keeping the interface smooth even under heavy network load.
Users see new data appear seamlessly, often within seconds of an on-chain event.
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