Sushi vs Uni on L2
Oct 15, 2022 - Compare the market share of Sushiswap and Uniswap on the following L2 chains.
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Oct 25, 2022 - Select one of the key Districts from the NEAR tournament, and compare it to a similar district in another “city” (that is, another Layer 1 blockchain).
Flipside's World Cup of Bounties Side Quest: Fifa+ Collect Collection Scorecard
Nov 15, 2022
Open Analytics Bounty: ETH vs Solana( compare Realms in Solana with Snapshot in Ethereum)
Sep 22, 2022
Trading Patterns Dashboard
Oct 4, 2024 - Bebop is a leading decentralized finance (DeFi) project designed to facilitate seamless cryptocurrency trading and exchanges. As a decentralized exchange (DEX), Bebop provides users with a secure and efficient platform for trading digital assets across various blockchain networks. The platform is known for reducing complexities in trading processes while optimizing for speed and minimizing transaction costs. Users benefit from cutting-edge smart contracts and protocols that ensure the security of their assets while trading on the platform. With the increasing volume and complexity of trades on Bebop, understanding trading patterns and analyzing market behavior is crucial for both traders and investors. The Trading Patterns Dashboard is designed to provide users with a comprehensive view of the platform's trading activities, allowing them to gain 1.Overall Trade Activity: - Overview of total trading volume and transaction count over a specified period. - Breakdown of trade flows (inflows vs. outflows) for better insight into market liquidity. 2. Token Performance Analysis: - Visual representation of price movements and volume for specific tokens over time. - Helps traders track the behavior of individual tokens and identify significant price changes. 3. Trading Patterns and Volume Distribution: - Analysis of the distribution of trade volumes across tokens, highlighting large and small transactions. - Identification of any recurring patterns in trade sizes or times of day when trading is most active. 4. Weekly and Hourly Market Trends: - Weekly charts to capture longer-term trends in both token prices and volumes. - Heatmaps and hourly breakdowns to reveal the most active trading periods and help pinpoint when market volatility is highest. 5. Inflow vs. Outflow Comparison: - Pie charts or bar charts showing the proportion of buy (inflow) vs. sell (outflow) transactions. - Helps in understanding the trading sentiment for various tokens and overall market direction. By using the Trading Patterns Dashboard**, users can identify market opportunities, observe trading behaviors, and make data-driven decisions to optimize their trading strategies. The dashboard provides a rich source of information for users who are seeking deeper insights into the Bebop platform's performance and token-specific trends.
Miso User Base
Sep 19, 2022 - Q112. Analyze the user base of Miso. How many users does it have across how many chains? Chart that by week and by month. Has the recent bear market affected that?
BENQI Supply Activity
Oct 7, 2024 - The Supply Activity Dashboard is designed to monitor and analyze user behavior in liquidity provisioning within decentralized finance (DeFi) protocols. The goal of this dashboard is to provide a comprehensive overview of liquidity supply volume, the number and type of active users, and the trends in these activities over time. This dashboard can help project managers and analysts evaluate supply patterns, identify new and returning users, and assess the impact of economic decisions on the amount of liquidity supplied. Dashboard Objectives: Analyze Supply Activities: In-depth, continuous analysis of the liquidity supplied on the platform. Identify Active and New Users: Monitor the number and percentage of new and recurring users participating in liquidity provisioning. Evaluate Changes in Volume and Supply Patterns: Track monthly or weekly fluctuations and trends in liquidity supply. Provide Actionable Insights for Protocol Optimization: Aid managers in making data-driven decisions to improve liquidity strategies. Conclusion: This dashboard allows users to closely follow liquidity provisioning behavior within the protocol and utilize actionable insights to make better decisions regarding protocol management and development.