# HyperStats — Full content for LLMs
> Concatenated educational corpus from HyperStats, the public analytics platform for Hyperliquid. Generated at deploy time from the same typed registries that render the live pages — so this file and the website never drift.
>
> What this file is for: drop the whole HyperStats knowledge base (guides, docs, AI access policy) into your model's context window in one fetch, instead of crawling individual pages.
>
> What this file is NOT: a live data source. Trader PnL, wallet positions, token bias, and live activity are stateful — fetch them from the canonical URLs cited in each section.
- Canonical: https://hyperstats.org/llms-full.txt
- Structured index: https://hyperstats.org/llms.txt
- Spec: https://llmstxt.org/
- Last updated: 2026-06-24
- Guides included: 32
- Approximate word count: 12,598
---
## Contents
**Guides**
- [Best Hyperliquid Analytics Tools](#guide-best-hyperliquid-analytics-tools)
- [Best Hyperliquid Traders to Watch](#guide-best-hyperliquid-traders)
- [How HyperStats Tracks Hyperliquid Traders](#guide-how-hyperstats-tracks-hyperliquid-traders)
- [How HyperStats Trader Grade Works](#guide-how-hyperstats-trader-grade-works)
- [How to Find Hyperliquid Whales](#guide-how-to-find-hyperliquid-whales)
- [How to Read Hyperliquid Token Terminal on HyperStats](#guide-how-to-read-hyperliquid-token-terminal-on-hyperstats)
- [How to Read Hyperliquid Wallet PnL on HyperStats](#guide-how-to-read-hyperliquid-wallet-pnl-on-hyperstats)
- [How to Track Hyperliquid Trader Positions](#guide-how-to-track-hyperliquid-trader-positions)
- [How to Track Hyperliquid Wallets with Telegram Alerts](#guide-how-to-track-hyperliquid-wallets-with-telegram-alerts)
- [How to Track Hyperliquid Whales](#guide-how-to-track-hyperliquid-whales)
- [How to Use Hyperliquid Liquidation Alerts](#guide-how-to-use-hyperliquid-liquidation-alerts)
- [How to Use HyperStats Live Activity](#guide-how-to-use-hyperstats-live-activity)
- [BTC Whale Tracker on Hyperliquid](#guide-hyperliquid-btc-whale-tracker)
- [ETH Liquidation Tracker on Hyperliquid](#guide-hyperliquid-eth-liquidation-tracker)
- [ETH Whale Tracker on Hyperliquid](#guide-hyperliquid-eth-whale-tracker)
- [Hyperliquid Favorite Trader Alerts Guide](#guide-hyperliquid-favorite-trader-alerts)
- [HYPE Whale Tracker on Hyperliquid](#guide-hyperliquid-hype-whale-tracker)
- [Hyperliquid Leaderboard Explained](#guide-hyperliquid-leaderboard-explained)
- [Hyperliquid Liquidation Alerts Guide](#guide-hyperliquid-liquidation-alerts)
- [Hyperliquid Live Activity Guide](#guide-hyperliquid-live-activity)
- [How to Read Hyperliquid Long/Short Bias](#guide-hyperliquid-long-short-bias)
- [Hyperliquid Perps Analytics](#guide-hyperliquid-perps-analytics)
- [Hyperliquid Position Tracker](#guide-hyperliquid-position-tracker)
- [Best SOL Traders on Hyperliquid](#guide-hyperliquid-sol-top-traders)
- [SOL Whale Tracker on Hyperliquid](#guide-hyperliquid-sol-whale-tracker)
- [Hyperliquid Token Analytics Guide](#guide-hyperliquid-token-analytics)
- [Hyperliquid Token Terminal Guide](#guide-hyperliquid-token-terminal)
- [Hyperliquid Top Traders Guide](#guide-hyperliquid-top-traders)
- [Hyperliquid Wallet Lookup](#guide-hyperliquid-wallet-lookup)
- [Hyperliquid Wallet Tracker Guide](#guide-hyperliquid-wallet-tracker)
- [Hyperliquid Whale Alerts Guide](#guide-hyperliquid-whale-alerts)
- [Hyperliquid Whale Tracker Guide](#guide-hyperliquid-whale-tracker)
**Reference**
- [Docs](#docs)
- [AI access policy](#ai-access)
---
# Guides
## Best Hyperliquid Analytics Tools
- URL: https://hyperstats.org/guides/best-hyperliquid-analytics-tools
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to choose the right Hyperliquid analytics tool for wallet research, whale tracking, live activity, PnL charts, token flow, alerts, and trader discovery.
The best Hyperliquid analytics tools do not just show a price chart. Hyperliquid is a trader-driven perpetuals venue, so useful research needs wallet behavior, live position changes, realized PnL, token flow, whale alerts, and leaderboard context in one workflow.
HyperStats is built around that workflow. It connects trader discovery, wallet tracking, live activity, token terminal views, and Telegram-linked alerts so a market move can be verified from several angles.
### Start with trader discovery
A good Hyperliquid analytics workflow usually starts with trader discovery. The Top Traders page helps you find wallets that are worth investigating by combining rank, grade, realized performance, win rate, current exposure, and main traded tokens. That is more useful than only sorting by a single PnL number because raw PnL can be noisy, temporary, or heavily affected by wallet size.
The best use of a leaderboard is not to blindly copy the first wallet on the page. Use it to build a shortlist. Look for repeatable behavior, consistent realized performance, reasonable risk, and traders whose current positioning matches the markets you care about.
### Use wallet tracking for verification
Wallet tracking is the second layer. A Hyperliquid wallet tracker should show account value, open positions, margin, leverage, entry price, mark price, liquidation price, realized PnL, unrealized PnL, history, entries, and recent activity. The goal is to answer one simple question: is this wallet actually trading well, or did one large position make it look impressive?
On HyperStats, the wallet page is where you separate a useful trader from a noisy address. You can inspect the current book, see how positions changed over time, review closed outcomes, and compare the chart against actual trade events.
### Watch live activity for timing
Live activity is the timing layer. A trader leaderboard tells you who might matter, and a wallet page tells you whether the wallet is credible, but live activity tells you what is happening now. For Hyperliquid traders, that means opens, adds, reductions, closes, liquidations, and large wallet moves as they happen.
The mistake is reading live activity as a complete trading plan. A large BTC long, HYPE short, or SOL close is only a trigger. Live feeds are strongest when they start research quickly instead of replacing research entirely.
### Use token flow to understand the market
Token-level analytics answer a different question from wallet analytics. Instead of asking whether one trader is good, token tools show whether a market is crowded, one-sided, active, or shifting. Useful token analytics include long notional, short notional, long/short bias, largest positions, recent opens, recent closes, and whale markers on the chart.
The token terminal is especially useful when a live event needs context. If several strong wallets are opening HYPE longs, the token page can show whether that is part of broader directional flow or just isolated activity.
### Add alerts only after filtering
Alerts are valuable only when they are filtered. If every small order, tiny reduction, and random wallet update creates a notification, the alert product becomes noise. Good Hyperliquid whale alerts should focus on meaningful opens, closes, liquidations, and tracked-wallet events that deserve attention.
HyperStats supports both public alert-style monitoring and personal favourites. Public alerts are intentionally selective, while favourites let you follow wallets that matter specifically to you. The best setup is usually a small watchlist of traders you understand, with alert thresholds high enough that Telegram becomes a signal layer instead of another feed to ignore.
### Build a complete research workflow
The strongest Hyperliquid analytics setup combines tools instead of relying on one screen. Start with Top Traders to find candidates. Open the wallet tracker to verify trade quality. Use Live Activity to catch fresh changes. Use token terminal to understand market context. Save the best wallets to favourites and use Telegram alerts only for the traders and thresholds that matter.
That workflow keeps the analysis practical. You are asking whether a wallet is skilled, whether the current trade fits its history, whether the token flow supports the move, and whether the event is important enough to monitor going forward.
### FAQ
**Q: What is the best Hyperliquid analytics tool for beginners?**
A: Start with Top Traders and wallet pages. The leaderboard helps you find wallets worth studying, and the wallet page shows whether the trader has real positions, history, realized PnL, and consistent behavior.
**Q: Are whale alerts enough for Hyperliquid trading research?**
A: No. Whale alerts are useful triggers, but they should be checked against wallet history, trader quality, token flow, and the current position context before you treat them as meaningful signal.
**Q: Why does HyperStats combine wallet tracking, token flow, and leaderboards?**
A: Because each tool answers a different question. Leaderboards help discovery, wallet tracking helps verification, token flow gives market context, and alerts help you react when something important changes.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Open Live Activity](https://hyperstats.org/live-activity)
- [Open Token Terminal](https://hyperstats.org/token-terminal/btc)
- [Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
---
## Best Hyperliquid Traders to Watch
- URL: https://hyperstats.org/guides/best-hyperliquid-traders
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to decide which Hyperliquid traders are worth watching instead of just sorting by one noisy number.
The best Hyperliquid traders to watch are not always the wallets with the biggest one-day PnL. HyperStats is strongest when you use several metrics together instead of ranking by one column only.
The goal is to identify traders with strong realized performance, enough proof, and current behavior that still makes them worth watching.
### Start with grade, not just raw PnL
Grade helps separate strong traders from one-off lucky outcomes. It combines realized trade quality with proof of significance so tiny wallets do not dominate the leaderboard.
That makes it a better first filter than raw short-window PnL alone.
### Use closed risk and realized periods together
Closed Risk tells you whether the trader has actually put real size through completed exits. Realized 7D and 30D show whether that trader has been strong recently, not just historically.
Those metrics together are much more useful than a single all-time number.
### Check the wallet after the leaderboard
Once a trader looks interesting, open the wallet page. That shows whether the account is currently concentrated, heavily leveraged, bot-like, or behaving in a way that still fits your strategy.
The leaderboard should narrow the field, not replace wallet inspection.
### FAQ
**Q: How do I find the best Hyperliquid traders on HyperStats?**
A: Start with grade, then use realized 30D performance and closed risk to narrow the field before checking the wallet page for current behavior.
**Q: Is the highest 24H PnL trader always the best trader?**
A: No. A short-window PnL spike can be noisy. Grade, realized multi-period performance, and closed risk are usually a better combination.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Top Traders Guide](https://hyperstats.org/guides/hyperliquid-top-traders)
- [Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
---
## How HyperStats Tracks Hyperliquid Traders
- URL: https://hyperstats.org/guides/how-hyperstats-tracks-hyperliquid-traders
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How HyperStats tracks traders on Hyperliquid, what the platform stores, and why its research pages are designed around verification instead of raw noise.
HyperStats tracks Hyperliquid traders by combining wallet discovery, live position monitoring, historical event storage, and product surfaces like Top Traders, Live Activity, wallet pages, and token terminal.
The point is not to dump raw events on the screen. HyperStats turns trader activity into pages that are easier to discover, verify, compare, and actually use.
### What HyperStats tracks
HyperStats tracks wallets, current positions, realized trading events, token-level positioning, alerts, and derived trader metrics like grade, realized windows, and recent activity.
This is why the platform can show both research surfaces like Top Traders and live-response surfaces like Live Activity and token terminal.
### Why the platform uses multiple pages
No single page is enough for trader research. The leaderboard helps you discover strong traders, Live Activity helps you catch the event, wallet pages help you verify the trader, and token pages help you understand the market around the move.
That separation is intentional because it is more reliable than forcing every question into one noisy page.
### How HyperStats keeps the feed useful
The platform filters bot-like wallets, applies thresholds on public alerting surfaces, and distinguishes realized outcomes from live open exposure so users are not forced to interpret raw noise alone.
That makes HyperStats more useful for research and monitoring than a raw event stream with no structure or verification layer.
### FAQ
**Q: Does HyperStats just show a raw Hyperliquid feed?**
A: No. It stores and organizes trader, wallet, and token data into product pages designed for discovery, verification, and live monitoring.
**Q: Why does HyperStats separate rankings, wallets, and token pages?**
A: Because those pages answer different questions. Rankings help discovery, wallet pages help verification, and token pages help market context.
Primary action: [See How HyperStats Works](https://hyperstats.org/docs)
See also:
- [Open Top Traders](https://hyperstats.org/traders)
- [Open Live Activity](https://hyperstats.org/live-activity)
- [Read Trader Grade Guide](https://hyperstats.org/guides/how-hyperstats-trader-grade-works)
---
## How HyperStats Trader Grade Works
- URL: https://hyperstats.org/guides/how-hyperstats-trader-grade-works
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How the HyperStats trader grade works, what quality and proof mean, and why the grade is not just a raw PnL rank.
HyperStats trader grade explains which traders look strongest when realized quality and proof are combined, rather than simply ranking wallets by raw PnL.
That is why the model does not simply reward raw wallet size or one lucky short-term spike.
### What quality means
Quality is based on realized trading behavior: edge, risk control, recent realized performance, and how traders handle exits. The goal is to reward repeatable realized results instead of temporary open PnL swings.
A trader with high realized quality but poor risk control should not look the same as a disciplined trader with similar profits.
### What proof means
Proof is the part that stops tiny or one-off wallets from dominating the best grades. It considers trade count, realized PnL magnitude, and how much real risk has been put through closed positions.
That is why a small wallet with a few lucky exits will not usually outrank a more proven trader with deeper realized history.
### How to use grade on the leaderboard
Use grade as the first filter, not the only one. Then compare realized 7D or 30D performance, closed risk, and the trader's current main token to decide whether the wallet fits your strategy.
Grade is best used to narrow the field before you inspect the wallet page in detail.
### FAQ
**Q: Is HyperStats grade the same as rank?**
A: No. Rank is the page ordering, while grade is a broader quality-plus-proof signal about how trustworthy the trader's results look.
**Q: Does grade reward big wallets automatically?**
A: No. Proof matters, but raw wallet size alone is not enough. The model is designed to weight realized quality and evidence together.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Top Traders Guide](https://hyperstats.org/guides/hyperliquid-top-traders)
- [Best Traders Guide](https://hyperstats.org/guides/best-hyperliquid-traders)
---
## How to Find Hyperliquid Whales
- URL: https://hyperstats.org/guides/how-to-find-hyperliquid-whales
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to find Hyperliquid whales quickly with HyperStats before you decide which wallets are worth tracking in depth.
To find Hyperliquid whales, you need to discover where large wallets are showing up right now and separate high-signal traders from random size.
HyperStats gives you several discovery surfaces, and the best workflow is to move from broad discovery into trader quality and token context.
### Use Top Traders to find proven wallets
If you want to find whales who also matter from a quality perspective, Top Traders is the right first stop. It helps you avoid mistaking random size for skill.
Grade, realized windows, and closed risk help separate proven traders from one-off large accounts.
### Use Live Activity to find the move
Live Activity is the fastest place to discover new large opens, exits, and liquidations. It is especially useful when you want to see which tokens are attracting large traders right now.
From there, click into the wallet page or token terminal to decide whether the event is actually important.
### Use alerts and token terminal for market context
Public alerts and the token terminal help you spot where large traders are clustering. That matters because finding one whale is less useful than understanding whether several strong wallets are leaning into the same market.
Discovery is strongest when you combine wallet quality, live flow, and token-level positioning.
### FAQ
**Q: What is the fastest way to find Hyperliquid whales?**
A: Use Top Traders for proven wallets, Live Activity for the trigger, and token terminal or alerts for market context around the move.
**Q: Should I search random wallet addresses to find whales?**
A: No. HyperStats is much stronger when you use the rankings and live feed to discover wallets first, then inspect individual profiles in detail.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Live Activity](https://hyperstats.org/live-activity)
- [Track Whales Guide](https://hyperstats.org/guides/how-to-track-hyperliquid-whales)
---
## How to Read Hyperliquid Token Terminal on HyperStats
- URL: https://hyperstats.org/guides/how-to-read-hyperliquid-token-terminal-on-hyperstats
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to read the token terminal correctly on HyperStats so chart markers, top positions, and positioning panels turn into real market context.
The HyperStats token terminal is not just a chart. It combines price action, large trader markers, top current positions, and token-level positioning so you can read what strong wallets are doing inside one market.
Read the chart, the marker flow, and the current positions panel together. A marker becomes much more useful when you know how the token is already positioned and who currently controls the market.
### What the chart markers mean
Markers on the token chart represent meaningful tracked-wallet actions in that market. Opens and adds tell you where size is entering. Closes, reductions, and liquidations tell you where risk is being forced out or consciously removed.
A marker is strongest when it clusters with other strong-wallet activity or lands into an already stretched notional bias.
### How to read top positions
The top positions section tells you which tracked wallets currently matter most in that token right now. It is useful for seeing whether the market is controlled by a few very large positions or by a broader set of strong traders.
Use it with the wallet page if you want to see whether the biggest current holder is actually a strong trader or just a large account.
### How to use the activity window and current positions panel
The activity window is there to show how recent opens and closes are distributed across the selected timeframe. The current positions panel tells you how long or short capital is currently leaning by notional.
Together, they answer a useful question: is fresh flow confirming current positioning, or is the market starting to rotate away from it?
### FAQ
**Q: What is the best way to read the token terminal on HyperStats?**
A: Use the chart markers for the trigger, top positions for trader concentration, and the current positions panel for broader token-level bias.
**Q: Should I react to one marker by itself?**
A: Usually no. The strongest interpretation comes from combining the marker with current bias, top positions, and the wallet behind the event.
Primary action: [Open BTC Terminal](https://hyperstats.org/token-terminal/btc)
See also:
- [Read Token Terminal Guide](https://hyperstats.org/guides/hyperliquid-token-terminal)
- [Read Long/Short Bias Guide](https://hyperstats.org/guides/hyperliquid-long-short-bias)
- [Open Token Analytics](https://hyperstats.org/token-analytics)
---
## How to Read Hyperliquid Wallet PnL on HyperStats
- URL: https://hyperstats.org/guides/how-to-read-hyperliquid-wallet-pnl-on-hyperstats
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to read the wallet page PnL views correctly on HyperStats without confusing realized history, period movement, and open-position swings.
HyperStats wallet PnL is easiest to read when you stop treating every number as the same thing. Total PnL, Period PnL, Realized PnL, and live open-position PnL each describe a different part of the trader's story.
Use Total PnL for the full tracked curve, Period PnL for what changed inside the selected window, Realized PnL for closed outcomes, and the positions table for risk that is still open right now.
### What Total PnL means
Total PnL is the tracked cumulative curve across the full selected view. It preserves the wallet's prior realized history instead of pretending the trader started from zero just because you switched to a shorter chart window.
That makes Total PnL the right view when you want to understand how much tracked performance the wallet has built up over time rather than what happened only inside the current slice.
### What Period PnL means
Period PnL isolates what changed inside the selected window. It is useful when you care about a trader's recent behavior, but it can look weak even for a very profitable wallet if the current period is flat or slightly negative.
This is why a trader can look very strong on the 30D total curve but near flat on the 24H period view. Those are not conflicting readings; they answer different questions.
### Realized versus unrealized
Realized PnL comes from closed or reduced positions. Unrealized PnL is the current mark-to-market gain or loss still inside open positions. Realized numbers are usually the better measure of proven trading quality.
If you want to understand what risk is still live, open the positions tab and compare current PnL, margin, entry, mark price, and liquidation context rather than reading the chart alone.
### FAQ
**Q: Why can a wallet be strongly positive on Total PnL but flat or negative on Period PnL?**
A: Because Total PnL includes the trader's earlier tracked history, while Period PnL shows only the selected time window. A strong trader can have a quiet or weak recent period without losing the earlier gains.
**Q: Which PnL view is best for judging trader quality?**
A: Realized PnL is the best quality anchor because it reflects closed outcomes. Total PnL and Period PnL are useful context, while unrealized PnL is still live exposure and can move quickly.
Primary action: [Find a Trader Wallet](https://hyperstats.org/traders)
See also:
- [Read Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
- [Read Trader Grade Guide](https://hyperstats.org/guides/how-hyperstats-trader-grade-works)
- [Open Docs](https://hyperstats.org/docs)
---
## How to Track Hyperliquid Trader Positions
- URL: https://hyperstats.org/guides/how-to-track-hyperliquid-trader-positions
- Published: 2026-06-24
- Updated: 2026-06-24
- Summary: Learn how to track Hyperliquid trader positions, read long and short exposure, follow changes over time, and use wallet pages for copy trading research.
Tracking Hyperliquid trader positions means watching what a wallet is long or short right now, then checking how that exposure changes over time. A trader's current table is only the first layer. The real research starts when you connect open positions, adds, reductions, closes, liquidations, and realized PnL into one timeline.
HyperStats is designed for that workflow. You can find a trader from the leaderboard, live activity, token terminal, or search, open the wallet page, inspect current positions, and then use history and entries to understand whether the trader is building conviction, reducing risk, or simply reacting to price.
### Start from a trader wallet
The cleanest Hyperliquid trader tracker starts with a wallet page. Search the address directly, open a wallet from live activity, or use the Top Traders page to find wallets with rank, grade, account value, realized PnL, and recent activity.
Do not stop at the address. A useful trader page should show whether the wallet is ranked, how large the account is, what positions are open, and whether the trader has enough history to judge.
### Read current long and short exposure
Open positions tell you the trader's live view. Look at asset, side, margin, leverage, entry price, mark price, liquidation price, and open PnL. A BTC long and a HYPE short are not just labels. They show where the trader has placed capital, how much risk is attached, and how close the position is to forced liquidation.
For Hyperliquid wallet positions, margin is often the clearest risk field because it shows capital committed. Notional explains market exposure. Leverage explains how aggressive the position is. Entry and mark price explain why the PnL is moving. Liquidation price explains how much danger remains if the market turns.
### Watch how the position changes
The most important question is not only what the trader holds, but how the position got there. Opens create the initial trade. Adds increase exposure. Reductions take risk off. Closes lock in the result. Liquidations show forced exits.
A trader who adds slowly, reduces into strength, and closes profitable positions behaves very differently from a trader who keeps adding into drawdown and only exits through liquidation. That is why tracking position changes over time is more valuable than taking a screenshot of the current table.
### Use entries and history together
Entries show how positions were opened or increased. History shows reductions, closes, liquidations, and realized outcomes. Together they explain the full position lifecycle.
For copy trading research, this matters a lot. A trader can look smart while a position is open, but the quality of the trader is revealed by what happens after the trade moves. The entries and history tabs answer that better than current PnL alone.
### Compare current PnL with realized PnL
Open PnL is useful, but it is not final. It moves with mark price and can disappear quickly. Realized PnL is more durable because it reflects closed or reduced trades. A strong trader usually has a healthier relationship between open gains and realized results.
When a wallet has a large profitable open position, check whether previous trades were actually realized well. If the trader has repeated realized losses and one large open winner, the current position may be less convincing. If the trader has consistent realized exits and the current position fits the same behavior, the signal is stronger.
### Check token context
A single trader position should also be compared with the broader token market. If a wallet is long SOL, inspect the SOL token terminal or token analytics page. Are other large wallets also long? Are shorts reducing? Are liquidations clustered nearby?
This helps separate isolated trader behavior from a wider market move. A top trader position is more useful when it aligns with strong token flow, but it can be dangerous if the token is crowded on the same side.
### Save wallets worth monitoring
If a trader looks useful, save the wallet to Favourites. That turns manual research into an ongoing watchlist. You can return later, compare the trader with live activity, and use alerts when important wallets move.
A good watchlist is selective. Save wallets because they have a reason to be tracked: strong realized behavior, clear position management, meaningful size, or repeated presence in important token moves. Random active wallets create noise. Researched wallets create signal.
### Use position tracking for decisions carefully
Tracking Hyperliquid top trader positions is research, not a guarantee. Even strong traders can be wrong, late, overleveraged, or trading with a different time horizon. The goal is to understand behavior, not blindly copy an address.
The best workflow is simple: find the trader, read current positions, inspect how those positions changed, compare open and realized PnL, check token context, and save only the wallets that continue to prove useful over time.
### FAQ
**Q: How do I track what a Hyperliquid trader is holding?**
A: Open the wallet page on HyperStats and check the Positions tab. It shows current long and short positions, margin, leverage, entry price, mark price, liquidation price, and PnL where available.
**Q: Why should I look at position changes over time?**
A: Position changes reveal behavior. Opens, adds, reductions, closes, and liquidations show whether a trader is building conviction, managing risk, or being forced out.
**Q: Is this useful for copy trading research?**
A: Yes. Before copying or following a trader, you should understand current exposure, realized history, risk style, and whether the wallet repeatedly manages positions well.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Position Tracker Guide](https://hyperstats.org/guides/hyperliquid-position-tracker)
- [Wallet Lookup Guide](https://hyperstats.org/guides/hyperliquid-wallet-lookup)
- [Live Activity](https://hyperstats.org/live-activity)
- [Save Trader Wallets](https://hyperstats.org/favourites)
---
## How to Track Hyperliquid Wallets with Telegram Alerts
- URL: https://hyperstats.org/guides/how-to-track-hyperliquid-wallets-with-telegram-alerts
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to connect Telegram to HyperStats, save favourite wallets, and receive personal wallet alerts without managing the watchlist inside Telegram itself.
HyperStats Telegram wallet alerts work best when the website is the control panel and Telegram is the delivery layer. You save traders on HyperStats, and the linked bot follows that same watchlist automatically.
The workflow is simple: discover traders on the site, save them with one heart click, connect Telegram once, and let the same favourites list follow you across browsers and devices.
### How the watchlist is controlled
The watchlist is edited on HyperStats itself. When you heart a trader on the leaderboard or wallet page, that trader becomes part of the same favourites universe used by your personal alerts.
Telegram is not the editor. It is the linked delivery and persistence layer for the same saved list.
### How Telegram linking works
Open the favourites page, connect Telegram, and complete the bot link. Once linked, the same watchlist can sync across browsers because it is no longer trapped in local browser storage.
That makes Telegram useful not just for notifications, but also for carrying your watchlist between devices.
### How to make the alerts useful
Use the favourites alert settings to tune minimum margin and minimum realized PnL. That is the best way to prevent low-value alerts from turning a private feed into noise.
Your Telegram feed becomes much more valuable when it reflects the exact traders and event thresholds that match your strategy.
### FAQ
**Q: Do I add wallets from Telegram?**
A: No. You add and remove wallets on HyperStats. Telegram delivers alerts for the same saved watchlist after the account is linked.
**Q: Will my favourites follow me to another browser after linking Telegram?**
A: Yes. Once linked, the Telegram-backed watchlist can be restored so you do not lose the same saved traders on another browser or device.
Primary action: [Set Up Favourite Alerts](https://hyperstats.org/favourites)
See also:
- [Read Favourite Alerts Guide](https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts)
- [Read Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
- [Open Docs](https://hyperstats.org/docs)
---
## How to Track Hyperliquid Whales
- URL: https://hyperstats.org/guides/how-to-track-hyperliquid-whales
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: A practical workflow for tracking Hyperliquid whales with trader rankings, live flow, wallet pages, and public alerts.
To track Hyperliquid whales well, you need to move quickly from a big event into the trader, wallet, and token context that explains whether the move actually matters.
The best workflow is not just watching size. Start with quality, then watch the event, then inspect the wallet and token market around it.
### Start with the right wallets
The fastest mistake is watching every large wallet equally. Start on Top Traders and focus on high-grade wallets or traders with strong realized performance and meaningful closed risk.
That gives you a smaller, better list of traders to watch before you even open the live feed.
### Use Live Activity as the trigger
Live Activity is best used as the trigger layer. Once you see a meaningful open, exit, or liquidation, click into the wallet page or token terminal immediately.
That turns the feed from a noise surface into a market-intelligence surface.
### Verify with wallet and token context
The wallet page tells you whether the trader is actually strong and whether the move fits the trader's broader history.
The token terminal tells you whether the move happened into a market that is already crowded or shifting in the same direction.
### FAQ
**Q: What is the best HyperStats workflow for whale tracking?**
A: Start on Top Traders, watch Live Activity for the trigger, then inspect the wallet page and token terminal before deciding whether the move matters.
**Q: Should I follow every large wallet move?**
A: No. Size alone is not enough. The strongest workflow combines wallet quality, realized history, and current token context.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Top Traders](https://hyperstats.org/traders)
- [Whale Tracker Guide](https://hyperstats.org/guides/hyperliquid-whale-tracker)
---
## How to Use Hyperliquid Liquidation Alerts
- URL: https://hyperstats.org/guides/how-to-use-hyperliquid-liquidation-alerts
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats liquidation alerts as a practical workflow, not just a notification stream.
A liquidation alert is only useful if it changes your understanding of the market. HyperStats is designed to help you move from the alert into trader quality, wallet history, and token context quickly.
That is why the most useful liquidation workflow starts with the alert but does not stop there.
### Treat the alert as a trigger, not the full answer
A liquidation alert tells you leverage failed. It does not tell you by itself whether that was an isolated event or part of a larger market unwind.
Use the alert to open the live feed, token terminal, and wallet page immediately so you can inspect the broader context.
### Check the trader and the market together
The wallet page tells you whether the trader is normally strong, overleveraged, or bot-like. The token terminal tells you whether the market is already crowded by one side of positioning.
This combination is what turns a liquidation alert into a real decision-making input.
### Look for bursts, not only isolated events
Single large liquidations matter, but repeated forced exits in the same coin are usually more informative. They can tell you that a move is becoming self-reinforcing rather than merely noisy.
That is why liquidation alerts are strongest when combined with the broader live activity and token context.
### FAQ
**Q: How should I use HyperStats liquidation alerts?**
A: Use them as a trigger to inspect the live feed, token terminal, and the wallet behind the event instead of treating the alert as the full answer.
**Q: Are liquidation alerts enough by themselves?**
A: No. They are most useful when combined with trader quality and token positioning, especially if several liquidations cluster in the same market.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Whale Alerts Guide](https://hyperstats.org/guides/hyperliquid-whale-alerts)
- [Liquidation Alerts Guide](https://hyperstats.org/guides/hyperliquid-liquidation-alerts)
- [Open ETH Token Terminal](https://hyperstats.org/token-terminal/eth)
---
## How to Use HyperStats Live Activity
- URL: https://hyperstats.org/guides/how-to-use-hyperstats-live-activity
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use Live Activity correctly on HyperStats, including filters, event types, and the best workflow after a meaningful alert appears.
HyperStats Live Activity is built to tell you when something worth checking just happened. The page becomes powerful when you use it as a trigger layer instead of a raw event stream.
Filter for the event type you care about, catch the trigger, and then move immediately into the wallet page or token terminal to decide whether the flow actually matters.
### What the main event types mean
Open and increase events tell you where traders are building risk. Reduce and close events tell you where they are taking risk off or realizing an outcome. Liquidations tell you where leverage failed.
Those are very different signals. Opens and adds tell you about intention, while closes and liquidations tell you about consequences.
### How to filter the feed correctly
Start by narrowing the feed to the kind of event you actually care about. If you want directional interest, focus on opens and increases. If you want stress and failure, focus on reductions, closes, and liquidations.
The margin and realized PnL filters are there to remove low-value events. A filtered feed is much more useful than trying to react to every small adjustment.
### What to do after the trigger
Once an event looks important, open the wallet page to inspect the trader and open the token terminal to inspect the market. That tells you whether the move is isolated or part of a larger flow.
Live Activity is strongest when it sits between discovery and verification, not when it tries to be the only page you use.
### FAQ
**Q: Should I treat Live Activity as a complete event log?**
A: No. It is better used as a filtered trigger surface that helps you move quickly into the wallet and token pages that provide full context.
**Q: What is the best first filter to use on Live Activity?**
A: Start with event type and margin floor. Those two filters usually remove the most noise without hiding the events that matter.
Primary action: [Use Live Activity Now](https://hyperstats.org/live-activity)
See also:
- [Read Live Activity Guide](https://hyperstats.org/guides/hyperliquid-live-activity)
- [Read Whale Tracker Guide](https://hyperstats.org/guides/hyperliquid-whale-tracker)
- [Open Docs](https://hyperstats.org/docs)
---
## BTC Whale Tracker on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-btc-whale-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to monitor BTC whales on Hyperliquid and connect their live flow to current market positioning.
BTC is usually the deepest and most watched market on Hyperliquid, which makes BTC whale tracking one of the most valuable use cases on HyperStats.
The best BTC workflow combines token-level bias, current top positions, and the live flow of strong trader wallets.
### Start on the BTC token terminal
The BTC token terminal shows current notional bias, top active positions, and a chart with large tracked wallet markers. That gives you immediate market structure context before you even look at a single wallet.
It is the fastest way to see whether BTC is currently more long-heavy or short-heavy by capital.
### Use Live Activity to catch the move
When large BTC opens or exits hit the live feed, use them as the trigger. Then open the wallet page to see whether the trader is actually strong or just noisy.
That workflow matters because BTC flow can be constant, but not every event is informative.
### Interpret BTC with current positioning
A large BTC long is more interesting if notional bias is already stretched or if many strong traders are leaning the same way. Likewise for shorts.
Use the token terminal and the wallet page together before treating any single alert as actionable.
### FAQ
**Q: What is the best way to track BTC whales on HyperStats?**
A: Use the BTC token terminal for current positioning, Live Activity for the trigger, and the wallet page for the trader's broader track record.
**Q: Why is BTC whale flow different from smaller tokens?**
A: BTC activity is larger and more frequent, so the best signal usually comes from combining wallet quality with market positioning rather than reacting to one isolated event.
Primary action: [Open BTC Token Terminal](https://hyperstats.org/token-terminal/btc)
See also:
- [Live Activity](https://hyperstats.org/live-activity)
- [Token Terminal Guide](https://hyperstats.org/guides/hyperliquid-token-terminal)
---
## ETH Liquidation Tracker on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-eth-liquidation-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats to track ETH liquidations on Hyperliquid and connect liquidation pressure to token positioning and trader context.
ETH liquidation tracking is useful when it tells you whether forced exits are isolated or part of a broader cascade. HyperStats helps you connect ETH liquidation alerts to live activity, token positioning, and the wallet behind the move.
The right workflow is to treat a liquidation as a trigger, then inspect the token terminal and wallet page before deciding whether the move reflects broader market stress.
### What an ETH liquidation alert actually tells you
A liquidation alert shows forced leverage failure, not just a normal close. On ETH, that matters most when several liquidations cluster in a short window or when the liquidated side was already crowded by notional.
That is why the token terminal and live activity feed matter as much as the alert itself.
### How to use the ETH token terminal
Open the ETH token terminal to check current notional bias, top positions, and recent chart markers. That tells you whether the liquidation happened into an already stretched market or during a broader rotation.
Liquidation alerts are strongest when they confirm pressure that was already visible in current positioning.
### How to verify the wallet behind the liquidation
The wallet page shows whether the trader is normally high quality, heavily concentrated, or bot-like. A forced ETH exit from a strong discretionary wallet means something different than a noisy liquidation from a systematic account.
Use wallet history to decide whether the liquidation changes your interpretation of the market or is just isolated damage.
### FAQ
**Q: What is the best way to track ETH liquidations on HyperStats?**
A: Use public alerts or Live Activity as the trigger, then open the ETH token terminal and wallet page to add positioning and trader context.
**Q: Does every ETH liquidation create a public alert?**
A: No. Public alerts apply thresholds so only meaningful ETH liquidation events reach the public channel and header ticker.
Primary action: [Open ETH Token Terminal](https://hyperstats.org/token-terminal/eth)
See also:
- [Liquidation Alerts Guide](https://hyperstats.org/guides/hyperliquid-liquidation-alerts)
- [Live Activity](https://hyperstats.org/live-activity)
---
## ETH Whale Tracker on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-eth-whale-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to monitor ETH whales on Hyperliquid and connect live trader flow to current ETH positioning and token terminal context.
ETH is one of the most actively traded markets on Hyperliquid, which makes ETH whale tracking a strong use case for HyperStats. The goal is not to watch every move, but to understand meaningful flow from strong wallets.
Use HyperStats to connect ETH live activity, wallet quality, and token-level positioning before treating any single trader move as signal.
### Start with the ETH token terminal
The ETH token terminal gives you a live view of price action, large trader markers, top current positions, and recent open and close windows.
That context matters because ETH can show heavy activity on both sides, and token-level positioning helps you understand whether current pressure is actually directional.
### Use wallet quality to filter ETH flow
ETH flow is noisy if you treat every large wallet equally. Start with strong or proven wallets from Top Traders, then use Live Activity as the trigger layer.
That way, when a large ETH long or short appears, you already know whether the trader has a record worth paying attention to.
### Combine ETH bias and trader behavior
A large ETH long is much more interesting if current token bias is already stretched or if multiple strong wallets are leaning the same way.
Use token bias, live activity, and wallet history together rather than reacting to one isolated trade event.
### FAQ
**Q: What is the best way to track ETH whales on HyperStats?**
A: Use the ETH token terminal for current positioning, Live Activity for the trigger, and the wallet page to confirm whether the trader has a strong history.
**Q: Why is ETH whale flow often harder to read than smaller tokens?**
A: Because ETH has deeper liquidity and more constant large activity, so the best signal comes from combining wallet quality with token-level positioning instead of watching size alone.
Primary action: [Open ETH Token Terminal](https://hyperstats.org/token-terminal/eth)
See also:
- [Live Activity](https://hyperstats.org/live-activity)
- [Token Terminal Guide](https://hyperstats.org/guides/hyperliquid-token-terminal)
---
## Hyperliquid Favorite Trader Alerts Guide
- URL: https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to build a HyperStats favourites watchlist, link Telegram, and receive personal alerts for your saved traders automatically.
HyperStats favourites are now more than a local shortlist. Once you link Telegram, the same saved watchlist becomes your personal alert universe for trader-specific notifications.
The important model is simple: you edit favourites only on HyperStats. Telegram stores the linked watchlist and delivers alerts for those same saved traders.
### How the watchlist works
Every heart click on HyperStats adds or removes a trader from the same watchlist. If Telegram is not linked yet, that list stays local to the browser. If Telegram is linked, the site keeps the watchlist synced automatically.
That means you do not add wallets from Telegram itself. The site is the editor and Telegram is the delivery and persistence layer.
### How Telegram linking works
On the favourites page, connect Telegram and start the HyperStats bot. Once the link is complete, the saved watchlist can follow you across browsers and devices because it is no longer just browser-local state.
After linking, personal alerts are delivered to the connected Telegram account using the same watchlist and the alert preferences you set on the favourites page.
### What personal alerts can do
Personal alerts can follow your saved traders for opens, adds, reductions, closes, and liquidations. You can also tune filters like minimum margin and minimum realized PnL so the bot does not spam you with low-value events.
This makes favourites useful as a private monitoring product, not just a visual shortlist on the website.
### FAQ
**Q: Can I add wallets from the Telegram bot?**
A: No. Wallets are added and removed on HyperStats itself. The Telegram bot links your account, stores the same watchlist, and delivers alerts for it.
**Q: Will my favourites appear in another browser after I link Telegram?**
A: Yes. Once linked, the saved Telegram-backed watchlist can be restored automatically when you connect Telegram from another browser.
Primary action: [Open Favourites](https://hyperstats.org/favourites)
See also:
- [Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
- [Documentation](https://hyperstats.org/docs)
---
## HYPE Whale Tracker on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-hype-whale-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to monitor HYPE whales on Hyperliquid and connect large wallet flow to current HYPE long/short positioning.
HYPE is one of the most watched native markets on Hyperliquid, and large HYPE flow often attracts more attention than generic mid-cap token activity.
HyperStats helps you connect HYPE wallet behavior to token bias, current top positions, and live open/close flow without relying on a raw event stream.
### Use HYPE token bias correctly
The HYPE token pages use notional-based long/short bias, which is more useful than simple wallet counts when you care about actual market pressure.
That means a HYPE move can be more interesting when it lines up with current notional dominance or helps explain a shift in it.
### Track the strongest HYPE wallets
Use Top Traders first to find strong traders who are currently concentrated in HYPE. Then use Live Activity to catch when those wallets add, reduce, open, or close size.
This gives you a better workflow than reacting to every large HYPE trade in isolation.
### Connect HYPE alerts to wallet context
When a meaningful HYPE event appears in the public alert layer or live feed, click through to the wallet page and HYPE token terminal.
That lets you see whether the move is part of a bigger directional campaign, a risk reduction, or a one-off event from a less important wallet.
### FAQ
**Q: What is the best way to track HYPE whales on HyperStats?**
A: Use Top Traders to identify strong HYPE-focused wallets, watch Live Activity for the trigger, and confirm the broader context on the HYPE token terminal.
**Q: Why does HYPE long/short bias matter?**
A: Because HYPE bias shows which side currently controls more notional, which is more useful than a simple count of traders when you want to understand real positioning pressure.
Primary action: [Open HYPE Token Terminal](https://hyperstats.org/token-terminal/hype)
See also:
- [Token Analytics](https://hyperstats.org/token-analytics)
- [Long/Short Bias Guide](https://hyperstats.org/guides/hyperliquid-long-short-bias)
---
## Hyperliquid Leaderboard Explained
- URL: https://hyperstats.org/guides/hyperliquid-leaderboard-explained
- Published: 2026-06-24
- Updated: 2026-06-24
- Summary: A practical explanation of Hyperliquid leaderboards, raw PnL ranking problems, and how to use grade, realized PnL, win rate, and risk context on HyperStats.
A Hyperliquid leaderboard is useful because it turns thousands of active wallets into a smaller list of traders worth checking. But a leaderboard is only the beginning of research. If you read it as a simple ranking of who is best, you can easily overrate wallets with one lucky close, one oversized position, or a short burst of unrealized profit.
HyperStats makes the leaderboard safer to read. Instead of asking only who made the most money, it shows grade, rank, realized PnL, win rate, account context, current exposure, and wallet pages so you can decide whether a trader is actually strong.
### What a leaderboard can tell you
The first job of a Hyperliquid trader leaderboard is discovery. It helps you find wallets that may be worth opening, saving, or comparing. A good leaderboard quickly shows which wallets are active, which traders have closed meaningful results, and which tokens they are trading.
That does not mean the top row is automatically the best trader. Leaderboards compress complex behavior into a few columns. They are strongest when they narrow the search space, then send you to the wallet page for verification.
### Why raw PnL rankings can mislead
Raw PnL is attractive because it is easy to understand, but it can be misleading. A wallet can show huge PnL because it has a large account, used extreme leverage, closed one lucky trade, or is sitting on a temporary open position that may reverse.
Two traders can both show $100,000 in profit and still be completely different. One may have made it through many controlled exits. Another may have made it through one high-risk position. A leaderboard that only sorts by raw PnL cannot separate those cases well.
### Use realized PnL before unrealized hype
Realized PnL is usually the cleaner comparison metric because it comes from closed trades. It shows what the trader actually locked in. Unrealized PnL can be useful, but it is still exposed to current market movement, leverage, and position concentration.
On HyperStats, the Top Traders page focuses on realized windows like 24H, 7D, 30D, and all-time. Choose the period that matches your research goal. If you care about current form, 7D or 30D realized performance is usually more useful than all-time alone.
### Read grade and rank together
Rank tells you where a trader currently sits in the leaderboard ordering. Grade is different. Grade is a quality and proof signal that tries to avoid rewarding tiny sample sizes, one-off luck, or raw wallet size by itself.
A high rank with a weak grade should make you cautious. A strong grade with a lower rank can still be more interesting if the wallet has better evidence behind its results.
### Add win rate and risk context
Win rate helps show how often a trader closes profitably, but it is not enough by itself. A trader can have a high win rate and still lose money if the losses are much larger than the wins. A trader can also have a lower win rate but strong PnL if winners are sized and managed well.
That is why win rate should be read with realized PnL, closed risk, position size, leverage, liquidation history, and account structure. Good leaderboard research asks how the result was made, not only whether the number is green.
### Open the wallet before trusting the row
After a leaderboard row looks interesting, open the wallet page. The wallet page shows current positions, entry price, mark price, liquidation price, margin, leverage, open PnL, realized PnL, history, entries, and recent activity. This is where you verify whether the trader is actually worth following.
The wallet page can reveal things the leaderboard cannot. A trader may be concentrated in one fragile position, recently changed strategy, or have a noisy history of reductions and liquidations. Those details matter before you save the wallet or use it for copy trading research.
### Use token context after wallet context
A strong trader is more useful when you understand the market they are trading. If a leaderboard wallet is heavily long HYPE, short BTC, or adding SOL, open the token terminal to see current positioning, long short bias, recent large activity, and the strongest wallets around that token.
This prevents a common mistake: treating one trader's position as the whole market. Use the leaderboard for discovery, the wallet page for verification, token terminal for market context, and Live Activity for fresh changes.
### A simple leaderboard workflow
Start with the Top Traders page. Sort by a realized period that matches your timeframe. Look for strong grade, meaningful realized PnL, acceptable win rate, and real proof. Then open the wallet, inspect positions and history, and save the trader only if the behavior still looks useful.
Used this way, the Hyperliquid leaderboard becomes a research system instead of a hype table. It helps you find candidates, but the final decision should come from wallet behavior, realized proof, risk context, and current exposure.
### FAQ
**Q: What is the best way to use a Hyperliquid leaderboard?**
A: Use it for discovery first. Find interesting traders, then open the wallet page to verify realized PnL, current positions, risk, and history before trusting the ranking.
**Q: Why can raw PnL rankings be misleading?**
A: Raw PnL can be distorted by wallet size, leverage, one lucky trade, or temporary unrealized gains. Realized PnL, grade, win rate, and risk context make comparison more useful.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Top Traders Guide](https://hyperstats.org/guides/hyperliquid-top-traders)
- [Trader Grade Guide](https://hyperstats.org/guides/how-hyperstats-trader-grade-works)
- [Wallet Lookup Guide](https://hyperstats.org/guides/hyperliquid-wallet-lookup)
- [Live Activity](https://hyperstats.org/live-activity)
---
## Hyperliquid Liquidation Alerts Guide
- URL: https://hyperstats.org/guides/hyperliquid-liquidation-alerts
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats liquidation alerts and public alert filtering to interpret real liquidation pressure on Hyperliquid.
Liquidation alerts are one of the clearest signals in leveraged markets. They show forced exits and can help you understand when positioning stress is building on one side of the market.
HyperStats uses filtered public alert rules so liquidation notifications stay meaningful instead of becoming a spam channel.
### Why liquidation alerts matter
A liquidation is not just another exit. It often signals leverage stress, poor risk management, or a rapid move through crowded positioning.
Repeated liquidations in the same coin or direction can matter more than a single liquidation by itself.
### How HyperStats filters public alerts
Public alerts apply size filters so small or low-information events do not flood the Telegram channel or header ticker.
That means the alert product is designed for quality and shareability, not raw completeness.
### How to investigate a liquidation
The best workflow is to click through to the wallet page and token terminal. That lets you see the broader trader history and how the liquidation fits into current market structure.
Liquidation alerts become much more useful when you combine them with Top Traders quality, Live Activity flow, and token-level positioning context.
### FAQ
**Q: Does every liquidation create a public alert?**
A: No. Public alerts apply thresholds so only meaningful liquidation events are published on public surfaces.
**Q: Can a liquidation row ever show positive PnL?**
A: It should not after the recent classification fixes. Positive liquidation rows were previously caused by a mislabeling bug that has been corrected.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Whale Tracker Guide](https://hyperstats.org/guides/hyperliquid-whale-tracker)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Live Activity Guide
- URL: https://hyperstats.org/guides/hyperliquid-live-activity
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use the HyperStats live activity feed to track opens, exits, liquidations, and higher-signal trader behavior in real time.
The live activity feed is the fastest way to understand what tracked Hyperliquid traders are doing right now. It is most useful when you read it as a market behavior feed, not as a blind copy-trading stream.
Use the feed to catch meaningful opens, exits, and liquidations, then click through to the wallet page or token terminal for full context.
### What the feed is best for
Live Activity helps you spot which coins are attracting large traders, whether strong wallets are entering or exiting, and when liquidation pressure is accelerating.
It is especially useful as a discovery surface when combined with Top Traders and the public alert channel.
### How to filter it correctly
Start with event type and side filters, then narrow by asset or grade when you want to focus on one part of the market. Exits are generally more informative when realized PnL is large.
The page is designed to show higher-signal activity only, so tiny events are filtered out before they reach the public feed layer.
### What the feed is not
It is not a perfect representation of every action on Hyperliquid. The platform intentionally suppresses bot-like wallets and low-signal events on public-facing surfaces.
That tradeoff makes the page more useful for human interpretation, even though it is not a raw blockchain firehose.
### FAQ
**Q: Does Live Activity show every event on Hyperliquid?**
A: No. It focuses on tracked wallets and applies signal filters so the page stays readable and informative.
**Q: Why might a trader appear on a wallet page but not in Live Activity?**
A: Some wallets are filtered from public feed surfaces because their behavior is strongly bot-like or systematically noisy.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Whale Alerts Guide](https://hyperstats.org/guides/hyperliquid-whale-alerts)
- [Whale Tracker Guide](https://hyperstats.org/guides/hyperliquid-whale-tracker)
- [Documentation](https://hyperstats.org/docs)
---
## How to Read Hyperliquid Long/Short Bias
- URL: https://hyperstats.org/guides/hyperliquid-long-short-bias
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to read long/short bias on HyperStats without confusing capital exposure with simple trader counts.
Long/short bias is one of the easiest metrics to misread. HyperStats uses notional-based bias so the token pages reflect capital exposure instead of just how many traders are on each side.
That matters because a market can have more long wallets but still be net short by capital, or the reverse.
### Bias versus trader counts
Trader counts tell you how many wallets are on each side. Bias on HyperStats is meant to answer a different question: which side has more capital behind it right now.
That is why the token pages emphasize long notional, short notional, and L/S notional ratio.
### How to use L/S notional ratio
L/S Ntl is the ratio of long notional to short notional. Above 1 means long capital dominates. Below 1 means short capital dominates.
It is more useful than a raw count ratio when you care about actual market pressure.
### How to combine bias with activity
Current bias is a live snapshot. Recent activity windows tell you how the market has been opening and closing positions recently. Use both together.
A market can be net short by current notional while still showing a burst of recent long openings, and that combination can be important.
### FAQ
**Q: What does long/short bias mean on HyperStats?**
A: It means which side currently dominates open notional. It is not the same as simply counting how many traders are long or short.
**Q: Why does HyperStats use notional bias instead of trader-count bias?**
A: Because notional better reflects actual capital exposure and market pressure. Count bias alone can be misleading when position sizes differ widely.
Primary action: [Open Token Analytics](https://hyperstats.org/token-analytics)
See also:
- [Token Analytics Guide](https://hyperstats.org/guides/hyperliquid-token-analytics)
- [Token Terminal Guide](https://hyperstats.org/guides/hyperliquid-token-terminal)
---
## Hyperliquid Perps Analytics
- URL: https://hyperstats.org/guides/hyperliquid-perps-analytics
- Published: 2026-06-24
- Updated: 2026-06-24
- Summary: A practical guide to Hyperliquid perps analytics, including trader flow, open positions, realized PnL, liquidations, token positioning, and wallet behavior.
Hyperliquid perps analytics are about more than price. A perpetual market is shaped by trader flow, open positions, leverage, realized PnL, liquidations, and the behavior of wallets that repeatedly move size.
HyperStats brings those signals into one workflow so you can read a market from several angles. You can start with token-level positioning, inspect live activity, open individual wallets, compare current positions, and verify whether the traders behind a move have a strong history or only a temporary open PnL spike.
### Start with trader flow
Trader flow shows what is happening now. Opens, adds, reductions, closes, and liquidations describe whether capital is entering a market, leaving it, or being forced out. For Hyperliquid perps, that live flow can matter as much as the candle itself because large wallets often reveal positioning pressure before a move is obvious on a simple chart.
Use live activity to understand timing. A cluster of large longs, a wave of short reductions, or repeated liquidation events can explain why a token suddenly feels crowded or unstable. The point is not to copy every event. The point is to see whether the flow confirms or contradicts the price move.
### Read open positions by token
Open positions show current inventory. A token can have strong recent buying activity but still be net short by current notional, or it can show many small longs while a few large shorts dominate the risk. That is why Hyperliquid perpetuals data should include notional positioning, margin, leverage, and the wallets behind the exposure.
On HyperStats, token pages and terminal views help separate current position state from recent activity. Current top positions answer who is exposed right now. Activity answers who changed exposure recently. You need both to avoid reading stale positioning as fresh conviction.
### Separate unrealized and realized PnL
Unrealized PnL is live mark-to-market performance. Realized PnL is what happened after a trader closed or reduced a position. In perps analytics, this difference matters because a wallet can look brilliant while a trade is open and still fail to realize that gain.
When analyzing a market, check whether strong wallets are actually closing profitably or only sitting on temporary gains. A token with many wallets showing large open profits can become vulnerable if those wallets start reducing together. A token with clean realized exits from strong traders may show a more proven trend.
### Use liquidations as stress signals
Liquidations are forced exits, so they are different from normal closes. A liquidation cluster can show that leverage was crowded in one direction. It can also create temporary volatility, especially when several large wallets are pushed out near the same price area.
For Hyperliquid futures analytics, liquidation price is useful before liquidation happens. If large long positions have nearby liquidation levels, a fast selloff can become more dangerous. If large shorts are close to liquidation, a squeeze can build quickly. The best read combines liquidation price, position size, and recent flow.
### Connect token data to wallet behavior
Token-level analytics show the market. Wallet-level analytics show the people or systems inside that market. When a large position appears on a token page, open the wallet and check account value, rank, grade, realized history, and recent behavior.
This step prevents weak signals from looking stronger than they are. A giant position from an unproven wallet is not the same as a giant position from a trader with repeatable realized PnL and disciplined exits. Hyperliquid trader flow becomes more useful when each event can be verified through the wallet behind it.
### Watch long short bias carefully
Long short positioning can help identify crowded markets, but it should not be used alone. A market with heavy long notional is not automatically bearish, and a market with heavy short notional is not automatically bullish. Bias is context, not a signal by itself.
The better question is how bias is changing. Are longs being added by strong wallets? Are shorts being reduced into price strength? Are liquidations clearing one side? Are top wallets concentrated or spread out? Those details make a perps tracker useful instead of simply noisy.
### Build a repeatable market workflow
A practical Hyperliquid perps workflow starts with token analytics, then moves into the terminal, live activity, and wallet lookup. First, identify the token and positioning bias. Second, inspect top positions and recent large events. Third, open the important wallets and judge whether their history supports the trade.
This keeps analysis grounded. Price tells you what happened. Perps analytics explain who is positioned, how much risk they are taking, whether they are realizing gains, and where forced exits may appear. That is the difference between watching a chart and understanding the market behind it.
### FAQ
**Q: What is Hyperliquid perps analytics?**
A: It is the process of analyzing Hyperliquid perpetual markets through trader flow, open positions, leverage, realized PnL, liquidations, token-level positioning, and wallet behavior.
**Q: Is trader flow better than price charts?**
A: Trader flow is not a replacement for price charts. It adds context by showing which wallets are opening, reducing, closing, or getting liquidated behind the price move.
**Q: What should I check first on a token?**
A: Start with current long short positioning and recent live activity, then inspect the largest wallets behind the move to see whether their history is strong or weak.
Primary action: [Open Token Analytics](https://hyperstats.org/token-analytics)
See also:
- [Token Terminal](https://hyperstats.org/token-terminal)
- [Live Activity](https://hyperstats.org/live-activity)
- [Position Tracker Guide](https://hyperstats.org/guides/hyperliquid-position-tracker)
- [Wallet Lookup Guide](https://hyperstats.org/guides/hyperliquid-wallet-lookup)
---
## Hyperliquid Position Tracker
- URL: https://hyperstats.org/guides/hyperliquid-position-tracker
- Published: 2026-06-24
- Updated: 2026-06-24
- Summary: A practical guide to reading Hyperliquid open positions on HyperStats, from margin and leverage to entry price, mark price, liquidation price, and unrealized PnL.
A Hyperliquid position tracker helps you understand what a trader is holding right now. Instead of only seeing that a wallet is active, HyperStats shows the live position table: asset, side, notional, margin, leverage, entry price, mark price, liquidation price, and unrealized PnL.
That live position view is one of the most important parts of wallet research. It tells you whether a trader is taking directional risk, how large the exposure is, where the trade started, how close it is to liquidation, and whether the current PnL is coming from one oversized bet or a balanced set of positions.
### Start with side and asset
The first read is simple: what asset is the trader long or short? A BTC long, ETH short, HYPE long, or SOL short all tells a different market story. The side explains direction, while the asset tells you which market the wallet is expressing that view through.
If a wallet has several positions, look at the mix. A trader might be mostly long majors, short a smaller token, or concentrated in one high-conviction position. The position tracker is useful because it shows that exposure in one table instead of forcing you to infer it from scattered activity events.
### Read notional and margin together
Notional is the size of the position in market exposure. Margin is the capital supporting that exposure. A $100,000 notional position with $10,000 margin is very different from a $100,000 notional position with $50,000 margin because the first trade is taking much more leverage risk.
On HyperStats, notional helps show how much market impact or directional exposure the wallet has, while margin helps show how much of the wallet's own capital is committed. For trader research, margin is often the cleaner risk signal, but notional still matters for understanding scale.
### Use leverage as a risk shortcut
Leverage compresses the risk profile into one number. A 2x position can usually tolerate more price movement than a 20x or 40x position. High leverage is not automatically bad, but it changes how quickly the trade can become fragile.
When you compare traders, do not only compare PnL. Compare how much leverage was used to produce that PnL. A wallet that earns steady results at moderate leverage is usually different from a wallet that swings between large wins and liquidations at high leverage.
### Compare entry price and mark price
Entry price is the average level where the position was opened or built. Mark price is the current reference price used to value the position. The distance between entry and mark explains why the unrealized PnL is positive or negative.
For longs, mark above entry usually helps PnL. For shorts, mark below entry usually helps PnL. If the trader added to the position over time, the average entry can move. That is why a position tracker should show average entry, not only the first event price.
### Watch liquidation price
Liquidation price shows the danger zone. It is not a prediction, but it tells you how much room the position has before forced risk management can happen. A position with strong PnL but a close liquidation price can still be risky if the trader is using high leverage or concentrated margin.
Liquidation distance is especially useful when reading long short positions during fast markets. If many large wallets are near liquidation on the same token, a sharp price move can create forced closes, volatility, and follow-on activity.
### Connect open PnL to history
Unrealized PnL is live, not final. A trader can show a large positive open PnL and still give it back before closing. That is why open positions should be checked against realized PnL, history, and entries.
HyperStats lets you move from the current positions table into the wallet chart and history tabs. If the wallet repeatedly closes profitably after building positions, the current open PnL is more convincing. If the wallet often lets winners reverse or gets liquidated, the same open PnL deserves more caution.
### Track changes over time
A position table is most useful when it changes in real time. Adds show conviction or risk increase. Reductions show risk coming off. Closes show realized outcomes. Liquidations show forced exits. Those events explain how the open position evolved.
When researching a Hyperliquid trader, save the wallet and revisit it after major moves. A strong position tracker should make it easy to see whether the trader held, added, reduced, or closed, and whether that behavior matched the original thesis.
### FAQ
**Q: What is the most important field in a Hyperliquid position tracker?**
A: Start with asset, side, margin, leverage, and liquidation price. Together they explain direction, size, risk, and how much room the trade has before it becomes fragile.
**Q: Is unrealized PnL the same as profit?**
A: No. Unrealized PnL is the live value of an open position. It only becomes realized when the trader closes or reduces the position.
**Q: Why does average entry matter?**
A: Average entry reflects the current blended position, especially after adds or reductions. It is more useful than only looking at the first open event.
Primary action: [Find Trader Positions](https://hyperstats.org/traders)
See also:
- [Wallet Lookup Guide](https://hyperstats.org/guides/hyperliquid-wallet-lookup)
- [Wallet PnL Guide](https://hyperstats.org/guides/how-to-read-hyperliquid-wallet-pnl-on-hyperstats)
- [Live Activity](https://hyperstats.org/live-activity)
- [Documentation](https://hyperstats.org/docs)
---
## Best SOL Traders on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-sol-top-traders
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to identify the strongest SOL-focused traders on Hyperliquid and verify whether their current SOL exposure is worth following.
Finding the best SOL traders is not the same as sorting by one short-term PnL number. HyperStats works best when you combine trader grade, realized performance, and current SOL concentration.
The goal is to find traders who both perform well and actually matter in the SOL market right now.
### Start with Top Traders, not random wallet search
Use Top Traders to narrow the field to proven wallets first. Grade, realized windows, and closed risk help you avoid mistaking one-off wins for durable trader quality.
Then use the Main Token column and token filters to identify traders who are currently concentrated in SOL.
### Check the wallet before trusting the trade
A trader can be strong overall but not especially informative in SOL right now. The wallet page shows open SOL positions, leverage, unrealized PnL, and recent exit history so you can judge whether the current posture fits the trader's broader edge.
This matters because some traders rotate through SOL briefly, while others are consistently concentrated there.
### Use the SOL token terminal for context
The SOL token terminal tells you whether strong traders are leaning with or against current notional bias. That context is critical when several top wallets are all positioning around the same move.
SOL is best read as a combination of trader quality and market structure, not one in isolation.
### FAQ
**Q: How do I find the best SOL traders on HyperStats?**
A: Filter Top Traders for strong grades and current SOL concentration, then verify the wallet and SOL token terminal before deciding whether the trader is worth following.
**Q: Is the highest SOL PnL trader always the best SOL trader?**
A: No. Realized performance, trader grade, and current SOL exposure together are more reliable than one isolated PnL figure.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Open SOL Token Terminal](https://hyperstats.org/token-terminal/sol)
- [Top Traders Guide](https://hyperstats.org/guides/hyperliquid-top-traders)
---
## SOL Whale Tracker on Hyperliquid
- URL: https://hyperstats.org/guides/hyperliquid-sol-whale-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to monitor SOL whales on Hyperliquid and connect whale flow to current SOL positioning and token activity windows.
SOL often produces strong directional bursts and concentrated trader behavior on Hyperliquid. That makes SOL whale tracking useful when you want to see whether large traders are building or exiting size quickly.
HyperStats is strongest here when you combine the SOL token terminal, live activity feed, and wallet context instead of watching a single page in isolation.
### Watch current SOL positioning first
The SOL token terminal gives you the current long/short positioning, top open positions, and large wallet markers directly on the chart.
That helps you understand whether a new whale move is aligned with the broader market posture or working against it.
### Use Live Activity for the trigger
Live Activity is useful for catching the actual moment when strong wallets start opening, exiting, or getting liquidated on SOL.
Once you see a meaningful event, open the wallet page to confirm whether the trader has a real edge or is just noisy size.
### SOL is best read as a flow market
SOL can move fast when several strong traders lean the same way. The most useful workflow is to compare recent event flow with the current token-level positioning, not just one trade in isolation.
That is especially true when reduction and close waves start to build after a strong move.
### FAQ
**Q: How do I track SOL whales on HyperStats?**
A: Use the SOL token terminal to understand current positioning, Live Activity to catch the trigger, and the wallet page to inspect the trader behind the move.
**Q: Why is SOL useful for whale tracking?**
A: SOL often shows concentrated large-trader behavior and sharp directional bursts, which makes token positioning and live trader flow especially informative together.
Primary action: [Open SOL Token Terminal](https://hyperstats.org/token-terminal/sol)
See also:
- [Live Activity](https://hyperstats.org/live-activity)
- [Token Terminal Guide](https://hyperstats.org/guides/hyperliquid-token-terminal)
---
## Hyperliquid Token Analytics Guide
- URL: https://hyperstats.org/guides/hyperliquid-token-analytics
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats token analytics and token terminal data to understand notional bias, activity windows, and top current positions on Hyperliquid.
Hyperliquid token analytics show where traders are positioned right now by using notional-based long/short bias, current activity windows, and top positions instead of simple wallet counts.
The token terminal then adds current top positions, a live price chart, and large open markers so you can connect market structure to actual trader behavior.
### Bias and long/short notional
Bias is based on current long versus short notional, not on a simple count of wallets. That makes the token pages better aligned with actual capital exposure.
L/S Ntl is the long-notional to short-notional ratio. Values below 1 mean shorts dominate current notional. Values above 1 mean longs dominate.
### Current positions versus activity window
Current positions are a live snapshot. Activity windows like 1H, 6H, 24H, and 7D describe recent open and close behavior, not current inventory.
That distinction matters because a token can have strong recent long activity while still being net short by current notional, or the reverse.
### How to use the token terminal
Use Token Analytics to compare markets quickly, then open Token Terminal when you want a deeper chart and live positioning context for a single coin.
The chart markers are most useful for large opens and liquidations. The Top Positions table helps you see which wallets currently matter most in that market.
### FAQ
**Q: Why can token terminal and token analytics disagree if I compare them manually?**
A: They should now agree on notional bias. If they differ, it usually means you are looking at different windows or a stale browser tab that has not refreshed yet.
**Q: Does HyperStats expose funding and open interest on every token page?**
A: No. HyperStats currently focuses the public token product on price, positioning, notional, trader counts, and large-wallet activity. The copy now reflects that narrower but more reliable surface.
Primary action: [Open Token Analytics](https://hyperstats.org/token-analytics)
See also:
- [Open Token Terminal](https://hyperstats.org/token-terminal)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Token Terminal Guide
- URL: https://hyperstats.org/guides/hyperliquid-token-terminal
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use the HyperStats token terminal to combine live price action, large-wallet markers, top positions, and token activity windows.
Use the HyperStats token terminal to study one Hyperliquid market with a live price chart, whale markers, top positions, and recent open/close activity.
Use the chart for context, the top positions table for current concentration, and the activity window for recent open/close behavior.
### Chart and marker workflow
The terminal chart is best used with large open markers and recent price action together. That lets you see whether meaningful trader entries are happening into strength, weakness, or chop.
Marker clustering is timeframe-aware, so short windows preserve detail while longer windows stay readable.
### Top positions and current positioning
The Top Positions table shows the largest current positions in that market, including margin, leverage, open date, and unrealized PnL where available.
Use this table to understand who currently matters in the token, not just who traded it recently.
### Activity window versus current snapshot
Current positions are a live snapshot, while the activity window shows recent opens and closes over a selected time range. Those are different concepts and should be read separately.
A token can show strong recent long activity while still being net short by current notional, or the reverse.
### FAQ
**Q: Why does the activity window not change current position counts?**
A: Because the activity window affects recent open/close counts only. Current positions are a live snapshot of the market right now.
**Q: Why are some wallets missing from token terminal surfaces?**
A: Bot-like wallets are filtered out of some public-facing token terminal components to keep the signal cleaner.
Primary action: [Open Token Terminal](https://hyperstats.org/token-terminal)
See also:
- [Token Analytics](https://hyperstats.org/token-analytics)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Top Traders Guide
- URL: https://hyperstats.org/guides/hyperliquid-top-traders
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to read the HyperStats Top Traders leaderboard, interpret grades, and filter for the traders that actually match your strategy.
Use the HyperStats Top Traders page to compare Hyperliquid traders by grade, realized PnL, win rate, and current positioning instead of chasing one noisy leaderboard number.
The page is designed for research, not hype. Use realized PnL, grade, closed risk, and current token exposure together instead of relying on a single number.
### What the grade means
The grade is not just a raw PnL ranking. It blends trading quality and proof, so traders need real performance and enough evidence to earn the highest bands.
That is why a trader with a tiny profit cannot sit at the top forever, while a stronger wallet with more proven history can rank better even if its headline PnL is lower in one short window.
### How to use the realized columns
The 24H, 7D, 30D, and all-time figures on Top Traders are realized metrics. They are meant to show closed trade performance, not temporary unrealized swings.
Use those columns alongside Win Rate and Closed Risk if you want to compare trader quality more fairly across different wallet sizes.
### Best filtering workflow
Start with grade and token filters to narrow the universe, then sort by a realized period that matches your timeframe. For example, 30D realized PnL is often more useful than all-time when you care about current performance.
The Main Token column shows the trader's largest current open token by notional. That gives you a quick idea of where the trader is concentrated right now.
### FAQ
**Q: Is the grade the same as the rank?**
A: No. Rank is the current ordering on the page, while grade is a broader quality and proof signal. Two traders can be near each other in rank but have different grades.
**Q: Why does realized PnL matter more than unrealized PnL here?**
A: Realized PnL is harder to fake and more stable for comparing traders. Unrealized PnL can swing heavily with current price movement and open leverage.
Primary action: [Open Top Traders](https://hyperstats.org/traders)
See also:
- [Live Activity](https://hyperstats.org/live-activity)
- [Favorite Trader Alerts Guide](https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Wallet Lookup
- URL: https://hyperstats.org/guides/hyperliquid-wallet-lookup
- Published: 2026-06-24
- Updated: 2026-06-24
- Summary: A practical Hyperliquid wallet lookup workflow for reading account value, positions, PnL, history, rank, grade, and recent activity on HyperStats.
A Hyperliquid wallet lookup is the fastest way to move from an address to a real trading profile. Instead of only seeing a wallet string, HyperStats turns that address into account value, open positions, realized and unrealized PnL, trade history, rank, grade, and recent activity.
This is useful when you find a trader in live activity, receive a wallet from a friend, notice a whale on a token page, or want to verify whether a public Hyperliquid address is actually worth following. The goal is not just to see whether the wallet has money. The goal is to understand how it trades.
### Start with the wallet address
Copy the full Hyperliquid wallet address and paste it into HyperStats search. A good address lookup should accept the raw address, open the wallet page, and show whether the wallet is already tracked, recently active, ranked, or still new to the system.
If the wallet has no open positions, no recent events, and no tracked history, there may be less to inspect. If it has active positions or trading history, the wallet lookup becomes much more valuable because you can compare current exposure with past behavior.
### Read account value before PnL
Start with account value because it gives scale. A wallet with a $10,000 account and a $5,000 open position is very different from a wallet with a $3 million account and the same position size. Account value helps you understand whether a trade is a serious allocation or a small test.
On HyperStats, the wallet summary separates spot value, position value, open PnL, realized PnL, and account structure where available. This matters because traders can look strong during a temporary unrealized gain, but the more reliable question is how the wallet behaves across closed trades and repeated decisions.
### Inspect open positions
Open positions are the live state of the trader. Look at asset, side, notional, margin, leverage, entry price, mark price, liquidation price, and current PnL. The entry price tells you where the position started or averaged into, while mark price tells you where the market is now.
Do not judge a wallet by one position alone. A large BTC long, ETH short, HYPE position, or SOL trade can be important, but it needs context. Check whether the wallet added into strength, reduced risk, held through drawdown, or repeatedly flips direction. The best wallet lookup workflow combines the current table with the event history below it.
### Use PnL tabs carefully
HyperStats separates period PnL, total PnL, and realized PnL because they answer different questions. Period PnL shows the selected window. Total PnL shows a broader tracked view. Realized PnL focuses on closed outcomes, which is usually the cleanest way to judge whether a trader actually banked profits.
When you hover the chart, connect the line movement to events. Opens, adds, reductions, closes, and liquidations explain why the line moved. If the wallet has a big unrealized move but little realized PnL, that means the trade has not been fully proven yet.
### Check rank and grade
Rank and grade help answer whether the wallet is notable inside the wider HyperStats universe. Rank is the current leaderboard-style ordering. Grade is a quality signal that considers more than one number, so it can be useful when raw PnL is distorted by wallet size or a single large move.
Unranked does not always mean useless. A wallet can be newly discovered, insufficiently tracked, too inactive, or outside the current ranking filters. If a wallet has strong open positions but little closed history, treat it as something to monitor rather than something already proven.
### Review history and recent activity
After the live positions and PnL chart, review the wallet's history, entries, and recent activity. Entries show how positions were opened or increased. History shows exits, reductions, liquidations, and closed results. Recent activity helps you understand what changed most recently.
This is where a wallet lookup becomes trader research. A strong trader usually shows repeatable sizing, controlled reductions, and exits that make sense. A weaker wallet may show oversized leverage, repeated liquidations, or large realized losses hidden behind one profitable open position.
### Save useful wallets
If the wallet looks worth watching, save it to Favourites. That turns a one-time Hyperliquid address lookup into an ongoing workflow. You can return to the wallet later, compare it against live activity, and use Telegram alerts if you want to be notified when important wallets move.
The best practice is to save wallets only after you understand why they matter. A wallet with a strong rank, clean realized PnL, active positions, and sensible history is more useful than a random address that happened to appear in one large live event.
### FAQ
**Q: Can I look up any Hyperliquid wallet address?**
A: Yes. You can search a Hyperliquid address on HyperStats. If the wallet has active positions, tracked history, or recent activity, the page can show much richer context than an empty or inactive wallet.
**Q: Why does a wallet show no rank or grade?**
A: A wallet may be new, inactive, insufficiently tracked, or outside the ranked universe. Use positions, PnL, and history first, then treat rank and grade as additional context when available.
**Q: What is the best first signal in a wallet lookup?**
A: Start with account value and open positions, then confirm with realized PnL and history. A wallet is more convincing when live exposure and past closed results tell the same story.
Primary action: [Find Trader Wallets](https://hyperstats.org/traders)
See also:
- [Wallet Tracker Guide](https://hyperstats.org/guides/hyperliquid-wallet-tracker)
- [Live Activity](https://hyperstats.org/live-activity)
- [Save Wallets](https://hyperstats.org/favourites)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Wallet Tracker Guide
- URL: https://hyperstats.org/guides/hyperliquid-wallet-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to read a Hyperliquid wallet page on HyperStats, including tracked total PnL, realized PnL, positions, entries, exits, and bot-like activity labels.
Use the HyperStats wallet page to read one Hyperliquid trader clearly with current positions, realized PnL, entries, exits, and event history in one view.
The most important rule is simple: tracked total PnL, realized PnL, and current unrealized PnL are different things. HyperStats exposes them separately so the chart and summary stay interpretable.
### How to read the summary cards
Account value and unrealized PnL describe the live state of the wallet right now. The short-period realized cards describe closed results in those windows.
That means a wallet can have very strong unrealized PnL with flat 24H realized performance if it has not actually closed any size yet.
### Entries, exits, and reductions
HyperStats separates entry-side actions from exit-side actions. Entries include opens and adds, while history focuses on closes, reductions, and liquidations.
For reductions, the platform now uses canonical effective realized PnL when it is computable, so partial closes are represented more accurately than a simple blank event row.
### Bot-like wallets
Some wallets behave like systematic bots or inventory-management engines rather than discretionary traders. HyperStats flags obviously bot-like wallets on the wallet page so you know when the event flow may be dominated by micro-adjustments.
Those wallets are still useful to study, but they are filtered out of several public aggregate surfaces to keep the product focused on higher-signal trader behavior.
### FAQ
**Q: Why can a wallet show high unrealized PnL but low realized PnL?**
A: Because unrealized PnL reflects current open positions, while realized PnL only changes when the trader closes or reduces a position.
**Q: Does the wallet chart start before tracking begins?**
A: No. HyperStats can only chart what it has tracked since that wallet entered the system.
Primary action: [Find a Trader Wallet](https://hyperstats.org/traders)
See also:
- [Documentation](https://hyperstats.org/docs)
- [Live Activity](https://hyperstats.org/live-activity)
---
## Hyperliquid Whale Alerts Guide
- URL: https://hyperstats.org/guides/hyperliquid-whale-alerts
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats public alerts, Telegram/X alert channels, and daily recap posts without confusing filtered signal with the raw feed.
HyperStats public alerts are meant to be high-signal, not complete. They filter the raw feed down to larger opens, meaningful exits, liquidations, and recap-worthy market events that are actually useful to read and share.
The right way to use the alerts product is simple: treat the alert as the trigger, then move into the wallet page, Live Activity, or token terminal for the full context.
### What the public alerts product includes
HyperStats publishes filtered public alerts across the site, Telegram, and X. Those alerts cover meaningful opens, adds, exits, and liquidations instead of every tiny adjustment from the raw event stream.
The product also generates a daily recap that highlights the biggest long, biggest short, best close, worst close, biggest liquidation, top trader, and global market bias for the prior UTC day.
### How filtering works
Public alerts apply size floors and additional anti-noise rules so the channel does not fill with low-value events. That means the alerts product is intentionally stricter than Live Activity and far stricter than raw tracked events.
This is why you should not treat the public alert stream as a complete audit log. It is a curated market-intelligence layer designed for speed and readability.
### How to use an alert correctly
When a public alert matters, the next step is almost always one of three pages: the wallet page for trader history, Live Activity for surrounding flow, or token terminal for current market structure.
The alert itself gives you the trigger. The HyperStats product pages give you the reason the move matters or the evidence that it does not.
### FAQ
**Q: Do public alerts show every tracked Hyperliquid event?**
A: No. Public alerts are filtered on purpose. They are a high-signal public layer, not a complete event archive.
**Q: What is included in the HyperStats daily recap?**
A: The daily recap summarizes the biggest long, biggest short, best close, worst close, biggest liquidation, top trader, and global bias for the previous UTC day.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Liquidation Alerts Guide](https://hyperstats.org/guides/hyperliquid-liquidation-alerts)
- [Documentation](https://hyperstats.org/docs)
---
## Hyperliquid Whale Tracker Guide
- URL: https://hyperstats.org/guides/hyperliquid-whale-tracker
- Published: 2026-03-01
- Updated: 2026-06-23
- Summary: How to use HyperStats to follow whale wallets, watch real-time activity, and identify meaningful large-trader signals on Hyperliquid.
Use HyperStats to track Hyperliquid whale wallets, large opens, exits, and liquidations without digging through a noisy raw feed.
Use the whale-tracking workflow in three steps: identify strong wallets on Top Traders, monitor live events on Live Activity, and drill into the full wallet page when you see a move worth investigating.
### What counts as whale activity
On HyperStats, whale tracking is built around large position opens, closes, reductions, and liquidations. The goal is to surface activity that is actually informative for market structure and trader behavior.
The public alerting layer is stricter than the raw feed. That helps users avoid spam and makes the biggest wallet moves easier to notice and share.
### Best pages to use
Start on Live Activity for the real-time feed, then move to a trader wallet page if you want the full position history and PnL context.
Use Top Traders to find strong wallets first. Watching a high-quality wallet is more useful than watching random size alone.
### How to interpret a whale move
A large open is not automatically bullish or bearish alpha. The useful context is direction, margin deployed, leverage, token, and whether the trader has a strong record over time.
Likewise, a large reduction can mean profit taking, hedging, or risk reduction. The wallet page helps distinguish those cases by showing realized PnL and the remaining position state.
### FAQ
**Q: Does HyperStats show every single whale move?**
A: The raw platform tracks far more events than the public alert layer shows. Public alerts are intentionally filtered so the biggest and most useful moves stand out.
**Q: Can I use whale tracking for copy trading?**
A: You can use HyperStats to study and follow wallet behavior, but the platform does not place trades for you. The best workflow is to identify high-quality traders and then monitor their live actions.
Primary action: [Open Live Activity](https://hyperstats.org/live-activity)
See also:
- [Top Traders](https://hyperstats.org/traders)
- [Favorite Trader Alerts Guide](https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts)
- [How HyperStats Works](https://hyperstats.org/docs)
---
# Reference
## Docs
- URL: https://hyperstats.org/docs
- Purpose: Product documentation hub — workflows, platform-page reference, guide index, feeds, and FAQ.
### Workflows
**Research a trader**
Use Top Traders to find candidates, then open the wallet page to validate history, current positions, and exits.
- [Top Traders](https://hyperstats.org/traders)
- [Guide](https://hyperstats.org/guides/hyperliquid-top-traders)
**React to live flow**
Use Live Activity and public alerts to spot meaningful opens, closes, and liquidations in real time.
- [Live Activity](https://hyperstats.org/live-activity)
- [Alerts Guide](https://hyperstats.org/guides/hyperliquid-whale-alerts)
**Read market positioning**
Use Token Analytics for market-wide bias and Token Terminal for chart-plus-wallet context on a specific asset.
- [Token Analytics](https://hyperstats.org/token-analytics)
- [BTC Terminal](https://hyperstats.org/token-terminal/btc)
**Build a private feed**
Use Favourites with Telegram linking to create a personal alert layer for the traders you actually care about.
- [Favourites](https://hyperstats.org/favourites)
- [Guide](https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts)
### Platform pages
- [Top Traders](https://hyperstats.org/traders) — Rank Hyperliquid wallets by realized performance, grade, and closed risk.
- [Live Activity](https://hyperstats.org/live-activity) — Watch filtered opens, exits, and liquidation flow from tracked wallets in real time.
- [Token Analytics](https://hyperstats.org/token-analytics) — Compare long/short notional, token bias, and current market positioning across listed markets.
- [Token Terminal](https://hyperstats.org/token-terminal) — Inspect price action, whale markers, top positions, and recent activity windows for a token.
- [Favourites](https://hyperstats.org/favourites) — Save traders, sync the watchlist to Telegram, and receive personal alerts for those wallets.
### Guide index
**Trader Research**
- [Top Traders](https://hyperstats.org/guides/hyperliquid-top-traders)
- [Trader Grade Guide](https://hyperstats.org/guides/how-hyperstats-trader-grade-works)
- [Best Traders](https://hyperstats.org/guides/best-hyperliquid-traders)
- [Find Hyperliquid Whales](https://hyperstats.org/guides/how-to-find-hyperliquid-whales)
- [Read Wallet PnL](https://hyperstats.org/guides/how-to-read-hyperliquid-wallet-pnl-on-hyperstats)
**Whale Flow**
- [Whale Tracker](https://hyperstats.org/guides/hyperliquid-whale-tracker)
- [Live Activity](https://hyperstats.org/guides/hyperliquid-live-activity)
- [Track Hyperliquid Whales](https://hyperstats.org/guides/how-to-track-hyperliquid-whales)
- [Use Live Activity](https://hyperstats.org/guides/how-to-use-hyperstats-live-activity)
- [Liquidation Alerts](https://hyperstats.org/guides/hyperliquid-liquidation-alerts)
**Token Positioning**
- [Token Analytics](https://hyperstats.org/guides/hyperliquid-token-analytics)
- [Token Terminal](https://hyperstats.org/guides/hyperliquid-token-terminal)
- [BTC Whale Tracker](https://hyperstats.org/guides/hyperliquid-btc-whale-tracker)
- [ETH Whale Tracker](https://hyperstats.org/guides/hyperliquid-eth-whale-tracker)
- [Long/Short Bias](https://hyperstats.org/guides/hyperliquid-long-short-bias)
**Alerts**
- [Whale Alerts](https://hyperstats.org/guides/hyperliquid-whale-alerts)
- [Favorite Trader Alerts](https://hyperstats.org/guides/hyperliquid-favorite-trader-alerts)
- [Wallet Alerts on Telegram](https://hyperstats.org/guides/how-to-track-hyperliquid-wallets-with-telegram-alerts)
- [Use Liquidation Alerts](https://hyperstats.org/guides/how-to-use-hyperliquid-liquidation-alerts)
### Feeds
- [Guides RSS](https://hyperstats.org/feeds/guides.xml) — New and updated HyperStats guides for whale tracking, traders, wallet analysis, and token workflows.
- [Alerts RSS](https://hyperstats.org/feeds/alerts.xml) — Recent high-signal public alerts for large opens, exits, and liquidations across Hyperliquid.
- [Daily Recaps RSS](https://hyperstats.org/feeds/recaps.xml) — The HyperStats daily recap feed covering biggest longs, shorts, closes, liquidations, and market bias.
- [AI Access](https://hyperstats.org/ai-access) — Public crawlability, preferred machine-readable sources, llms.txt, and robots.txt.
### FAQ
**Q: What is HyperStats?**
A: HyperStats is a free, real-time analytics platform for Hyperliquid. It tracks wallet activity, position changes, PnL, and trader performance across thousands of wallets.
**Q: How does the trader grading system work?**
A: Grades are calculated from realized PnL, win rate, risk-adjusted returns, and consistency. S+ is the highest tier, while D and F indicate weak results or poor risk management.
**Q: How do I track whale wallets?**
A: Start with Top Traders or Live Activity, open the wallet page, then verify current positions, exits, PnL history, and token concentration before following a wallet.
**Q: Is HyperStats free to use?**
A: Yes. The current public analytics, trader rankings, live activity, token data, guides, and documentation are free to access.
**Q: Can I get alerts for favourite traders?**
A: Yes. Favourites supports Telegram linking and personal alerts for the same traders you save with the heart icon on HyperStats.
---
## AI access policy
- URL: https://hyperstats.org/ai-access
- Purpose: Public policy describing which surfaces AI systems may crawl, summarize, and link to, and where the data comes from.
### Public AI policy
Public landing pages, guides, docs, leaderboard pages, live activity, token analytics, token terminals, favourites, and wallet pages may be crawled, indexed, summarized, and linked to by AI systems. RSS feeds and the structured-data layer (JSON-LD, breadcrumbs) are first-class signals.
When citing a data point on this site (PnL, position size, win rate, grade), link back to the wallet or token page it came from so readers can verify the live value. Numbers move continuously.
### Data provenance
Wallet addresses surfaced on HyperStats are public on-chain identifiers. Position, trade, and PnL data is sourced from Hyperliquid’s public L1 + websocket feeds. There is no scraping of user accounts, no exposure of private keys, signed messages, or account-bound personal data, and no profile that ties an address to an off-chain identity.
### Crawlable surfaces
Best public entry points for indexing and summarization. Guides and Docs are the canonical sources for explanatory content; the data surfaces are best for current state and live context.
- [Home](https://hyperstats.org/)
- [Top Traders](https://hyperstats.org/traders)
- [Live Activity](https://hyperstats.org/live-activity)
- [Favourites](https://hyperstats.org/favourites)
- [Token Analytics](https://hyperstats.org/token-analytics)
- [Token Terminal](https://hyperstats.org/token-terminal)
- [Guides](https://hyperstats.org/guides)
- [Docs](https://hyperstats.org/docs)
### Restricted areas
The following path prefixes are not crawl targets. They serve authenticated, session-bound, or application-internal traffic and are excluded from public AI access:
- `/admin/*` — basic-auth gated. No public data, do not crawl.
- `/trading/*` — session-gated trading surface. No public data, do not crawl.
- `/account/*` — user session endpoints. Do not crawl.
- `/api/*` — JSON endpoints intended for the platform’s own clients. Not crawl targets — consult the Docs surface for documented data shapes.
HyperStats public pages should be treated as read-only analytical content, not an API substitute.
### Machine-readable signals
Standard discovery endpoints. Start with `llms.txt` for a structured site index, then load `llms-full.txt` for the full educational corpus, then layer in the sitemap and RSS feeds for change tracking.
- [llms.txt](https://hyperstats.org/llms.txt)
- [llms-full.txt](https://hyperstats.org/llms-full.txt)
- [robots.txt](https://hyperstats.org/robots.txt)
- [sitemap.xml](https://hyperstats.org/sitemap.xml)
- [Guides RSS](https://hyperstats.org/feeds/guides.xml)
- [Alerts RSS](https://hyperstats.org/feeds/alerts.xml)
- [Recaps RSS](https://hyperstats.org/feeds/recaps.xml)
### Questions or reporting misuse
Reach the team on Telegram — we monitor the community chat and the main channel for AI-access and data-use questions.
- [Community chat](https://t.me/hyperstatschat)
- [Main channel](https://t.me/hyperstats)
---