TEZEX Analytics

One of the most critical components for users, too often overlooked by exchanges

As part of our vision to enhance the Tezos ecosystem, we are building TEZEX Analytics, starting with a platform for tracking, analyzing, and comparing Tezos-native tokens and liquidity pools. This roadmap outlines our phased approach to delivering a cutting-edge analytics hub designed to empower traders, liquidity providers, and the overall DeFi world with actionable Tezos DeFi insights. This roadmap outlines our phased approach to delivering a comprehensive analytics hub, starting with Sirius (LB) expanding to CTez analytics, and culminating in ecosystem-wide token analytics.

Phase 1: Sirius LB Analytics

We are launching our analytics platform with a focus on Sirius (Liquidity Baking), a Tezos protocol feature that incentivizes liquidity provision between tez (XTZ) and tzBTC. Liquidity providers (LPs) contribute to this pool and receive Sirius (SIRS) tokens, representing their share of the pool. In return, LPs earn rewards from transaction fees and XTZ protocol subsidies. 

• Real-Time LP Metrics: Monitor SIRS token balances and track earnings from transaction fees and protocol subsidies in XTZ, providing LPs with up-to-date information on their returns.

• Performance Insights: Analyze historical data on trading volumes, fee generation, and liquidity trends within the XTZ-tzBTC pool to understand its performance over time.

• Liquidity Dynamics: Visualize asset flows and swap activities within the pool, offering insights into market depth and liquidity utilization.

Example: LPs can track their SIRS token balances and view detailed breakdowns of rewards earned through transaction fees and XTZ protocol subsidies. For example, an LP might notice from the analytics that the pool has experienced a surge in trading volume over the past week, driving increased fee revenue. Seeing this trend, they decide to add more liquidity to the pool, confident that the upward activity will continue to generate higher rewards.

Phase 2: cTez Analytics

Building upon Sirius Analytics, the next phase focuses on cTez, a collateralized version of tez (XTZ) that enables users to participate in DeFi without sacrificing delegation rewards. Users mint cTez by depositing XTZ into ovens, which automatically delegate the deposited XTZ to a baker chosen by the oven owner. This innovative model allows users to maintain their delegation rewards while using cTez across Tezos DeFi platforms. Features will include:

• Oven Performance Metrics: Track delegation, staking yields, and collateral ratios within cTez ovens.

• Market Utilization Analysis: Assess how cTez is deployed across DeFi platforms, including lending protocols, DEXs, and liquidity pools.

• Peg Stability Monitoring: Evaluate the stability of cTez’s peg to XTZ, considering factors like drift and target rates.

Example: A user with tez locked in a cTez oven can use the analytics dashboard to monitor the oven’s delegation performance, ensuring continued delegation reward yields. For traders, peg stability metrics offer a clear picture of cTez’s price alignment with XTZ, allowing them to make informed decisions about arbitrage or liquidity provision. These insights empower users to maximize their delegation and DeFi strategies while reinforcing the reliability and adoption of cTez.

Phase 3: Stablecoin (and stable-like assets) Analytics

Following Sirius LB and CTez analytics, the next step is to focus on a comprehensive analysis of Tezos-native stablecoins and widely-used stable-like assets, such as USDtz, ETHtz, USDT, uUSD, and tzBTC. Stablecoins and stable-like assets are the foundation of Tezos DeFi, serving as key instruments for liquidity, trading, and lending. This phase aims to empower users with detailed insights into their utilization and performance.

• Peg Stability Tracking: Analyze how closely stablecoins like USDtz and uUSD hold their peg to the dollar or other reference values, with insights into any drift or volatility.

• Liquidity and Volume Metrics: Track trading volumes and liquidity across pools involving stablecoins, such as USDtz-tzBTC or uUSD-XTZ, and other major pairs.

• Cross-Platform Utilization: Gain visibility into how stablecoins are deployed across Tezos DeFi platforms, including lending protocols, DEXs, and liquidity baking.

• Comparative Analysis: Evaluate stablecoins and stable-like assets side-by-side based on liquidity depth, trading volumes, peg stability, and market activity.

• Arbitrage Opportunities: Tools to identify price discrepancies across platforms, enabling arbitrageurs to capitalize on market inefficiencies.

Example: A trader monitoring USDtz’s peg stability notices a deviation across two DEXs and uses TEZEX Analytics to identify an arbitrage opportunity—buying on one platform and selling on another. Meanwhile, a liquidity provider evaluates analytics to compare the USDtz-tzBTC and ETHtz-XTZ pools, deciding where to allocate liquidity based on trading volumes and rewards. Developers leverage these tools to track stablecoin activity across platforms, enabling strategies to optimize yield and support Tezos DeFi growth.

Phase 4: General Token Analytics

The next phase of our roadmap focuses on delivering comprehensive analytics for all Tezos-native tokens, providing a unified platform for traders, liquidity providers, and developers to track, analyze, and compare token performance. This expansion of TEZEX Analytics will empower users with detailed insights into token metrics and utilization across the ecosystem, supporting informed participation and ecosystem-wide growth.

• Market Performance Metrics: Monitor token prices, trading volumes, liquidity depth, and price trends across DEXs and platforms, supported by historical and real-time data for analysis and forecasting.

• Token Utility and Deployment Insights: Explore how tokens are used across DeFi protocols, staking mechanisms, and liquidity pools, and analyze their roles in governance, rewards, and collateralization.

• Comparative Analysis: Compare metrics such as market cap, daily volume, liquidity, and ecosystem activity across a wide range of Tezos-native tokens to identify performance and opportunities.

Example: A trader interested in emerging tokens like PEPE or POLE can use TEZEX Analytics to evaluate trading volumes and liquidity trends, spotting opportunities for early market engagement. For instance, they may notice PEPE’s rising liquidity on a DEX and decide to trade based on activity spikes. Meanwhile, a liquidity provider considering POLE evaluates its performance in existing liquidity pools, analyzing rewards and trading volumes before committing capital. Developers working on new meme or governance tokens use comparative data to identify gaps in market demand, shaping innovative token utilities or strategies to capture user interest.