中文版本： 分析介紹
<aside> 🏄 The Analytics module supports a deeper inspection of historical backtesting results for Blave alpha values, helping users understand how the market has typically behaved under different data conditions. ‼️ Risk warning: any data/indicator has its advantages, disadvantages, and limitations. Please make sure to understand them carefully, crypto trading contains substantial risk and is not for every investor. DYOR.
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Analytics Page
Analytics leverages historical backtesting and statistical analysis to help traders understand the types of market outcomes that have typically occurred when alpha indicators fall within different value ranges.
After selecting the token and indicator you wish to study and submitting the query, the resulting curve allows you to visually observe: 1. which alpha levels tend to appear more frequently before price advances, 2. which extreme alpha conditions are more often associated with reversals, and 3. how different tokens respond differently under the same alpha value levels.
Before using the Analytics module, users should have a basic understanding of Blave data. If you are not yet familiar with it, we recommend first reviewing the Blave Academy . Prior to effectively applying the Blave Analytics module, it is important to understand that each alpha indicator can be represented as a distribution curve of “alpha value × future upside probability.” This curve allows users to more comprehensively evaluate which alpha levels are more informative and how different tokens respond to the same alpha conditions.
*The inverse of upside probability is downside probability — don’t forget that!
💡 Two Core Curve Types?
The curves produced by Analytics are plotted using the selected alpha values (x-axis) and future upside probability (y-axis). Broadly speaking, these curves can be categorized into two types: concave (U-shaped) and convex (inverted U-shaped). Their respective characteristics and implications are as follows:
1️⃣ Concave (U-shaped) — Event-driven alpha
In this type of curve, the middle range exhibits the lowest upside probability, while both extremes show higher probabilities. This often indicates that certain events or pressure points are driving strong token performance, and that price action is more likely to be event-driven.
2️⃣ Convex (inverted U-shaped) — Structure-driven alpha
In this type of curve, the middle range shows the highest upside probability, while both extremes exhibit lower probabilities. This usually suggests that the market performs best under normal, balanced conditions, allowing trends to extend more smoothly, whereas extreme conditions tend to undermine performance.
🙋🏻♂️ Example-based explanation of how to apply the Analytics module:
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