BMT Series (28): The Role of Time Travel Function in Capturing Market Signals
The time travel function is one of my favorite tools in Bubblemaps V2. It allows me to trace back the historical distribution of tokens and capture those fleeting market signals. Think about it, on the day of token issuance, the holder clusters are often the most original. At that time, VCs, teams, or influencers have just received their shares, and the traces of fund flows are the clearest. With this function, you can jump back to the issuance day, see how the initial clusters formed, and then compare it to now, uncovering quite a few stories.
For instance, when analyzing a new token, I first open the default bubble chart to see the current layout of the top 250 holders, then switch to time travel mode and select the issuance date. Suddenly, you discover that several large addresses were making concentrated transfers early on, but later became dispersed, which may indicate insiders gradually cashing out. Or, if the clusters become increasingly compact over time, perhaps institutions are quietly accumulating. The data updates in V2 within 6 hours, so it is highly real-time, but time travel allows you to see the evolution process, which is particularly useful for capturing signals.
Combined with magic nodes, this function becomes even more powerful. Magic nodes pull in intermediary addresses and expand hidden connections; in time travel, you can track the role of these intermediaries from issuance to now. From a cross-chain perspective, BMT's LayerZero bridging allows signal capturing across Solana and BNB Chain, making the paths of funds jumping from one chain to another clear at a glance.
In the market, these signals can help you make decisions. Crowdsourced investigations from Intel Desk often start from historical signals, and user voting cases often originate from discoveries made through time travel. In short, this function is not just a flashy gimmick, but a solid helper that transforms InfoFi from static data into dynamic intelligence. If you are focused on a token, you might as well try time travel, starting from the issuance day; you will definitely find new angles and avoid blindly following trends.
