SolSqueezer
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-The Most Accurate Solana Wallet Analyzer! 50k wallets at once, unlimited daily! Site: solsqueezer.io Wallet Analyzer: @solsqueezer_bot 📞 contact: @solsqueezer_support 👤 Manager: @SolSqueezerManager
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Channel Posts
AUTOSCAN: WALLETS BY YOUR OWN CRITERIA
Manual research often starts with chaos:
- a token
- holders
- someone’s list
- a few addresses from X
- old watchlists.
But the problem is not where you found the wallet. The problem is that every address still needs to pass through the same logic.
✔️ Autoscan helps turn that logic into a system.
You set your filters once, and SolSqueezer tracks new matching wallets, helping you avoid missing candidates that fit your research style.
It does not replace final analysis. But it removes the manual step of “finding something worth checking”.
💬 Do you already use Autoscan in your wallet research? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot
| 2 |  AVERAGE BUY SIZE: WHY SIZE MATTERS
A profitable wallet is not always a copyable wallet.
Especially if its average buy size is very different from your own deposit.
A whale wallet can show high PnL, strong ROI, and a consistent history. But its trades are built around a different capital size:
🟣 it may enter with size that moves the price;
🟣 get a different allocation;
🟣 trade around different liquidity;
🟣 survive drawdowns that do not fit a smaller deposit.
For copy trading, the question is not only how much the wallet made.
The better question is: can this trading style be reproduced with your size?
If a wallet buys with 20 SOL and you copy with 0.2 SOL, the result will not be identical.
💫 But the opposite also matters: if a wallet trades with tiny size, its ROI can look great while being irrelevant for larger capital.
Average buy size helps you understand the scale at which the wallet produces results.
💬 Do you check average buy size before adding a wallet to your copy list? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 63 |
| 3 |  After one bad copy, the metrics suddenly become very interesting 😂
Bot for wallet analysis: @solsqueezer_bot | 82 |
| 4 |  TOP TRADERS, EARLY BUYERS, HOLDERS: THREE DIFFERENT WALLET SOURCES
One token can produce several wallet sources for research.
1️⃣ Top traders show who already made money on the move. This is a useful source for finding wallets with confirmed results, but you still need to check whether the profit came from one trade or was made on tiny size.
2️⃣ Early buyers show who entered before the main impulse. But early entry alone does not mean edge: some of these wallets may be snipers, insiders, or random addresses without repeatable history.
3️⃣ Current holders show who is still holding supply. This matters for ownership structure and potential sell pressure, but a holder is not always a trader. A wallet can hold a position without being a good copy candidate.
That is why these groups should not be mixed into one generic “smart money list”.
Top traders help you find results.
Early buyers show timing.
Holders reveal supply and pressure.
🔆 Token Analytics in SolSqueezer helps you use a token as a source of wallets, but the real selection starts when you analyze each group with the same criteria.
💬 Which group would you start research with: top traders, early buyers, or holders? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 92 |
| 5 |  YOUR FILTERS ARE YOUR STRATEGY
In wallet research, filters are not just settings. They show what kind of wallets you consider suitable for copy trading.
🟣 If you filter by high win rate, you are looking for more stable behavior.
🟣 If you add minimum trade count, you remove wallets with too little history.
🟣 If you limit average buy size, you filter out addresses whose results may be hard to reproduce with your own size.
Every filter is not just a technical checkbox. It is part of your selection logic.
Two traders can upload the same wallet list into batch scan and get different shortlists. Not because one of them is wrong, but because they have different strategies, different risk tolerance, and a different idea of what makes a wallet copyable.
✔️ SolSqueezer helps you build selection around your own criteria, not around random addresses.
💬 Which filter matters most to you when analyzing wallets? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 92 |
| 6 |  BATCH SETTINGS AS YOUR PERSONAL SELECTION SYSTEM
Batch scan is not just a way to check a large wallet list faster.
The real value starts in the settings.
👉 Filters define what kind of wallets you actually want to see in the result. One trader may look for stable wallets with enough trade count and calmer hold time. Another may accept higher ROI, but immediately filter out tiny positions, outdated activity, or wallets where profit depends on one token.
That is why batch settings are not just technical parameters. They are your personal selection system.
The same list of addresses can produce different shortlists when the criteria change. And that is the point: different strategies should search for different wallets.
✔️ SolSqueezer helps you not just run addresses through batch, but build a wallet sample around your own copy trading style.
💬 Which filters are non-negotiable for you in batch scan? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 116 |
| 7 |  ROI IS NOT FAKE. IT IS INCOMPLETE.
High ROI does not always “lie”. The problem is different: without context, it can create the wrong impression about a wallet.
For example, ROI can look strong while being built on tiny size, one successful trade, outdated activity, or entries that are almost impossible to reproduce through copy.
In wallet research, the percentage is not enough. What matters is the path that produced that percentage:
🟣 How many trades were there?
🟣 What was the entry size?
🟣 Is profit spread across different tokens or concentrated in one move?
🟣 Is the wallet still active?
🟣 Can its style be copied, or does the result depend on speed, liquidity, and perfect entry timing?
ROI shows the outcome. Context shows the quality of that outcome.
SolSqueezer helps you look beyond the nice number and understand the wallet behavior behind it.
💬 Do you look at ROI first, or do you immediately check the context? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 120 |
| 8 |  TOP 10 WALLETS OF THE WEEK
This week, the first wallet in the ranking is: E6UjRzuaNUKWMme5St9qTroWJUAJ9Lh3RhF66o4G1PHY
👕 The report looks strong: 75% win rate, 12 trades, 9 win trades, 338% median ROI, 369% rROI, and 5.47 SOL rPnL. Over the last 30 days, it shows 22 profitable days, 1 loss, and 7 inactive days.
But there are also details worth checking: median trade duration is 2h, avg buy size is 0.020 SOL, and Sold More Than Bought = 10. So the wallet is interesting, but it still needs deeper analysis before copy.
Live data and full reports are available in SolSqueezer.
You can also open Top 10 in the Telegram bot: choose it from the menu or send /get_10_wallets.
In the bot, you can also get detailed stats for each wallet.
«🔥» to this post if you want us to share Top 10 wallet breakdowns more often.
Bot for wallet analysis: @solsqueezer_bot | 129 |
| 9 |  THE TRUTH ABOUT WIN RATE
Win rate looks simple: how many closed trades ended in profit. But in wallet analysis, this number is not enough.
A wallet can have a high win rate by closing many small winners, while one or two losses erase most of the result.
Another wallet can win less often, but catch stronger moves that cover a series of small losses.
👉 That is why win rate should never be read alone. You need to understand what stands behind it: how many trades were counted, how profit is distributed, whether the wallet depends on one token, and how big the losses are when the setup fails.
For copy trading, the real question is not “how often is this wallet right?”
The better question is: “how much does it lose when the setup fails, and can its winning trades actually be repeated?”
✔️ SolSqueezer helps you look beyond a single metric and see the full wallet behavior before adding it to your copy list.
💬 Do you trust win rate on its own, or do you always check the structure behind it? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 117 |
| 10 |  DAILY TOP WALLETS ARE NOT THE FINISH LINE
Daily Top Wallets are not a ready-made list for blind copy. They are a starting point for deeper analysis.
💻 A wallet can rank high because of strong 7-day performance, but the ranking itself does not tell you how well that wallet fits your own copy strategy. Some wallets may be too fast, too aggressive, too size-dependent, or simply not aligned with the way you trade.
That is why Top Wallets should work as a shortcut, not as a final decision.
✔️ They help you skip the cold search stage and start from pre-selected candidates. But the real value comes when you take that shortlist and apply your own logic to it.
A high rank can get a wallet on your radar. Your strategy decides whether it belongs in your copy list.
💬 Do you use Daily Top Wallets as a signal or as a starting point for analysis? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 118 |
| 11 |  High ROI looks exciting.
Bot for wallet analysis: @solsqueezer_bot | 134 |
| 12 |  A SIMPLE WALLET CHECKLIST
Before adding a wallet to your copy list, check more than just PnL.
A basic checklist can look like this:
🟣 PnL structure — is profit spread across different trades, or mostly made by one token?
🟣 Win rate + trade count — win rate only matters when there is enough trade history behind it.
🟣 Hold time — if the wallet holds positions for less than a minute, it is hard to copy.
🟣 Average buy size — can you copy this size without getting a different price impact?
🟣 Recent activity — is the wallet still active, or is the result already outdated?
🟣 Token breakdown — which tokens made money, and where did the wallet lose?
💬 What would you add to this checklist? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 146 |
| 13 |  FAST TRADES ARE HARD TO COPY
Not every profitable wallet is suitable for copy trading.
If a wallet holds a position for less than a minute, its result may look strong in the report, but repeating that trade is extremely hard. By the time the copy-trader receives the signal, the bot sends the transaction, and the market moves further, the entry may already be completely different.
This matters even more on low-liquidity tokens, where a small delay can change price impact and risk/reward.
❗️ That is why wallet analysis should not stop at PnL or win rate. Hold time matters. Fast trades can be profitable for the original wallet, but bad for copy.
Profitable does not always mean copyable.
💬 Do you check hold time before copying a wallet? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 147 |
| 14 |  AID PLAN CHANGES THE WAY YOU WORK
The paid plan in SolSqueezer is not just about “higher limits”.
📌 On free, you can check wallets one by one: find an address, open the report, review the metrics, and make a decision. That works for occasional research.
But when wallet research becomes part of your system, the workflow changes. Instead of manually checking separate wallets, you can build lists, run them through batch scan, filter by 30+ criteria, compare results, and find wallets that actually match your strategy faster.
So paid is not just more data. It removes manual routine and turns wallet research into a workflow.
Free is checking.
Paid is selection, filtering, and system.
💬 Have you already switched to the paid version? If yes, share your opinion in the comments.
Bot for wallet analysis: @solsqueezer_bot | 148 |
| 15 | Have you ever copied a wallet too fast? | 162 |
| 16 |  THE FEATURE MANY PAID USERS UNDERUSE
Last week, we started talking more about Token Analysis.
👕 Many users come to SolSqueezer for wallet checks, Top 10, or batch scan. But Token Analysis is often underused, even though it can be the starting point for strong research.
One token can show more than price action. It can reveal the structure behind the move: who entered early, who made money, who already exited, who still holds supply, and how concentrated the token is among top holders.
✔️ This is not just token analysis. It is a way to find new wallets for your next batch scan and understand who actually stood behind the move.
If you do not have a wallet list yet, start with a token.
💬 Do you use Token Analysis in your research? Drop "YES" or "NO" in the comments.
Bot for wallet analysis: @solsqueezer_bot | 171 |
| 17 |  A TOKEN IS MORE THAN A CHART
A chart shows price action. It does not show how “healthy” the move is.
1️⃣ One pump may come from organic demand: many wallets entered, some took profit, and some are still holding supply.
2️⃣ Another pump may depend on a few large holders, early snipers, or wallets already sitting on unrealized profit. On the chart, both setups can look similar. In risk, they are not.
That is why token research should not start and end with candles. Look at the structure: earliest buyers, top traders, current holders, holder concentration, and dev holdings.
✔️ Token Analytics in SolSqueezer helps you see who is behind the move: who entered early, who made money, who exited, and who can still pressure the supply.
Chart shows the move. Wallet structure shows the risk behind it.
Drop a «🔥» if this post was useful.
Bot for wallet analysis: @solsqueezer_bot | 155 |
| 18 |  NO WALLET LIST? START WITH A TOKEN
Wallet research does not always start with a list of addresses.
Sometimes it makes more sense to start with a token that already moved:
- who entered early
- who exited with profit
- who still holds supply
- which wallets actually made money on the move.
Token Analysis in SolSqueezer turns one token into a source of new wallets. You can see not only earliest buyers, but also top traders, current holders, holder concentration, and dev holdings.
❗️ That matters: early buyers may have already exited. Current holders show who is still in the position now.
So a token becomes more than something to analyze. It becomes a starting point for your next batch scan.
💬 Do you usually start research from a wallet list or from a token?
Bot for wallet analysis: @solsqueezer_bot | 146 |
| 19 |  High PnL is where wallet analysis starts, not where it ends.
The real edge comes from filtering out one-hit wallets before they turn into one-hit mistakes.
Bot for wallet analysis: @solsqueezer_bot | 150 |
| 20 |  YOUR FILTERS ARE YOUR STRATEGY
There is no single “correct” filter setup in wallet research.
One trader looks for wallets with a high win rate and calmer hold time. Another hunts for high ROI and accepts more noise. A third one immediately removes wallets with buy sizes they cannot realistically copy.
👕 That is why filters are not just settings. They reflect your strategy: the risk you are willing to take, the trading style you prefer, and the wallets you want to see in your shortlist.
In SolSqueezer, you can filter addresses by 30+ criteria and build a shortlist that matches your own approach.
💬 Which filters are non-negotiable for you when analyzing a wallet? Let us know in the comments.
Bot for wallet analysis: @solsqueezer_bot | 159 |
