🐮 How to use #Bubblemaps ?
I found that there are many articles in the square discussing a lot of jargon and underlying principles, but no one properly introduced how to use the BubbleMaps service.
The previous article introduced the significance of this tool, so today let's get into practical application!
Today, I will properly introduce the application as someone who is just a beginner like you! 😤
🚀 Step 1!! Open the website and find the token (of course!!!! XD)
Search for the token name (e.g., $BMT ) or contract address (like the example page for SHIB) in #Bubblemaps to enter the bubble chart for that coin.
v2.bubblemaps.io
🚀 Step 2! First, do a 30-second "health scan"
Quickly check for any unusual concentrations or tightly related circles!
Concentration: Are the top few bubbles "especially large" and "connected with many lines"?
Clusters: Are there dozens of addresses closely linked and frequently transferring to each other? (This may be due to the same entity splitting or multi-wallet collaboration)
Known Labels: Check if you can identify "reasonable large addresses" such as exchanges, team multisigs, vaults, LPs, etc., to avoid misjudgment.
🚀 Step 3! Use two advanced lenses to gather evidence
It’s starting to feel like detective work! The two tools below can uncover more hidden account relationships.
Magic Nodes: After opening, observe if there are common "upstreams" or "funding sources" (e.g., multiple large holders receiving funds from the same stablecoin source), which are often clues to hidden connections.
Time Travel: Pull the timeline back to the issuance day, before listing, or a few key points before a price surge, and compare who was "connected early and had a high proportion".
🚀 Advanced Usage: Integrate the map into your trading toolchain
This step may not be used by many people. However, once you learn it, it can be really useful!
The #Bubblemaps map can be embedded or connected with many commonly used tools (like Etherscan, DEX Screener, Pump.fun, etc.), allowing you to easily open the chart for cross-comparison while viewing K lines or on-chain browsers. The official also provides an iframe for partners to use.
I truly believe in the potential of such analytical tools; they have great significance for transparency!
