The Avalanche network has been gaining momentum in recent months, with a growing number of users and a thriving ecosystem of decentralized applications (dApps). As more assets are exchanged on the network, it becomes increasingly important to understand where they are coming from and where they are going. This is where your skills as an analyst come in - by examining the labels table, you can gain insights into the network's activity and identify key trends and patterns that can inform your strategy.

One important aspect to consider is the role of CEXes in the network. These exchanges play a significant role in bringing new users and assets into the ecosystem, and analyzing their behavior can provide valuable insights into the health and growth of the network as a whole. By examining the number of users and volume of assets associated with each CEX, you can identify which exchanges are the most active and which are driving the most growth in the network.

I used Flipside Crypto data to explore the inflows and outflows of assets on the Avalanche network. My goal was to gain insights into the behavior of users across different centralized exchanges (CEXes) and identify trends that could inform strategic decisions.

To start, I explored the global CEX movements on Avalanche for all tokens available on the network, including the AVAX token. I used the Flipside Crypto dashboard to analyze metrics such as the number of transactions, the volume of assets exchanged, and the number of unique users on the network. This allowed me to gain a comprehensive understanding of the network's overall activity.

Next, I calculated the activity by CEX and by token transferred. This involved analyzing the data to identify which CEXes were the most active on the network and which tokens were being transferred the most frequently. By doing this, I was able to gain insights into the behavior of users on the network and identify potential growth opportunities.

Finally, I created a tab for the chosen CEX analysis, which allowed the reader to select a specific CEX and view detailed information about its activity on the network. This included metrics such as the number of transactions, the volume of assets exchanged, the number of unique users, and the most commonly traded tokens on the exchange. By providing this level of detail, I was able to enable the reader to gain a deeper understanding of the role that individual CEXes play in the network's overall activity.

Overall, my methodology was a thorough and data-driven approach to understanding the inflows and outflows of assets on the Avalanche network. By leveraging Flipside Crypto data and analyzing it in a structured and systematic way, I was able to provide valuable insights that can inform strategic decisions and help to drive growth and adoption on the network.