StableJack User Radar
Flipside AI
Avalanche's xAVAX token shows gradual growth, expanding from 99 to 599 unique addresses over 12 months, while Acala USD (aUSD) stablecoin reaches 893 holders by mid-2024, indicating steady network expansion. In the Avalanche DeFi ecosystem, the top 100 depositors control 34.4% of total aUSD rebalance pool liquidity, with the largest wallet contributing 639,147 aUSD, highlighting significant concentration among top participants.
Stable Jack is a yield, volatility, and points trading platform for any assets including cryptocurrencies, stocks, commodities, and bonds.
Stable Jack allows users to exchange the yield, volatility, and points of the collateral asset while maintaining their principal. This will allow new DeFi primitives to be built on yield-bearing assets, lending markets, DEXs, or volatile assets. Yield Token, which is tokenized as a stablecoin will accrue the leveraged yield/points of the collateral asset while Volatility Token will be exposed to the volatility of the collateral asset with leverage. Both tokens will be perpetual and won't have a maturity date.
This dashboard is designed to provide a detailed analysis of user activity on the StableJack protocol and focuses on two key metrics: retention ratio (how well the protocol retains its users over time) and identifying new users to the Avalanche chain. These insights will help track user behavior, engagement, and growth trends.
- StableJack users are identified as those who have interacted with the following key protocol components: Jack market contract, aUSD, xAVAX, aUSD Rebalance Pool.
This approach ensures accurate tracking of user activity specific to StableJack's ecosystem.
Credit
Special shootout to 0xDataWolf and 0xHaM-d for their code snippets that were skillfully adapted for Retention Cohorts sections of the dashboard.

In this section, we delve into user retention by segmenting data into monthly cohorts to track their ongoing engagement.
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Horizontal analysis allows us to identify noteworthy behavior within each cohort. For example, we observe particularly robust and consistent retention in the most recent cohort, possibly indicating early adopters who are highly loyal.
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Vertical analysis reveals retention trends over time, helping pinpoint when users may lose interest in the product and churn. Additionally, it offers insights into the influx of new users, particularly evident in the new users column.
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Diagonal analysis provides a comprehensive view of retention across all cohorts, offering valuable insights into the overall effectiveness of the product.