BMT Series (36): Practical Tips for On-chain Transfer Filtering
On the Bubblemaps platform, on-chain transfer filtering is an essential skill for every on-chain investigator. It is not just simple data filtering, but a powerful tool that helps us extract key insights from the vast amount of blockchain transactions. Imagine, when you analyze the distribution map of a token, seeing those dense links between bubbles, which represent the flow of funds. But without filtering, they can easily become a tangled mess, making it hard to get started. This is where transfer filtering techniques come into play.
First, the basic operation is to start with the bubble chart. Open a token's map, like SHIB, and you will see the bubbles of top holders. By clicking the link, you can view the “Transfers/Withdrawals” menu. Here, all transfers are displayed by default, but we can further optimize this. Click the “All Tokens” button to open the filtering menu, where you can choose to display transfers of specific tokens only, such as viewing the flow of USDC or ETH.
Amount filtering is another practical aspect. The platform allows filtering by transfer amount, such as only displaying transactions above $1000 or micro-transfers below a certain threshold. This is particularly effective when tracking large whale behaviors—large transfers often reveal market signals, such as VC funding injections or insider trading. Combined with time filtering, such as viewing only last week or a custom date range, you can capture abnormal patterns in the short term, like bulk transfers near token issuance dates.
At a more advanced level, by using the “Show All Transfers” feature, you can batch-add connected addresses from the complete activity list of a single address. After filtering, you can add them one by one with the green button or import them in bulk at the bottom, which can expand the map and reveal hidden intermediary nodes.
These techniques have proven effective in actual investigations. I once used it to analyze the early holders of a new token and discovered a multi-chain money laundering network by filtering cross-chain transfers. In summary, transfer filtering is not a rigid tool, but a living strategy that can make your analysis much more efficient. Master it, and you will navigate the world of InfoFi with ease.
