Trader Explorer
A comprehensive platform for analyzing and tracking on-chain trader performance in the Perpetual DEX ecosystem, featuring GMX, Kwenta, and Polynomial.
Last updated
A comprehensive platform for analyzing and tracking on-chain trader performance in the Perpetual DEX ecosystem, featuring GMX, Kwenta, and Polynomial.
Last updated
| Search efficiently for traders and positions using Wallet Addresses, Smart Accounts, and Transaction Hashes. |
| Enables users to select specific time frames for data filtering. |
| Provides a comprehensive view of on-chain traders, customizable through various filters. |
| Offers filtering options based on parameters, including Default and Percentile settings. |
Includes 26 powerful and diverse criteria for filter traders. Details of the Trader evaluation criteria can be seen in detail here.
| Suggests quick-apply filters, such as "Top Tier 1" or "Reverse Copy," for users. |
| Exhibits the percentage and number of traders matching filter criteria within a specified timeframe. |
| Enables setting of personalized criteria for refined search results. |
The Percentile Filter applies statistical percentiles to analyze the distribution of a specific data point (e.g., PNL, Winrate) within a defined timeframe. This provides valuable insights into a data point's relative position compared to the entire dataset.
| Displays the count and percentage of traders matching specified filter conditions in a chosen timeframe. |
| Enables setting of personalized criteria for refined search results. |
Favorite Trader feature on the platform allows users to curate a list of traders they want to track closely.
More than that, users have the capability to bookmark traders of interest with personalized notes, which is particularly useful for:
Performance Review at a Glance: It facilitates quick assessments of the traders' current PnL, alpha, and other essential metrics, eliminating the need for individual searches.
Strategic Comparison: Users can conveniently compare the strategies and performance of their preferred traders side-by-side through tools like Multi-backtest or Compare similar traders.
Creation of Custom Lists: This allows for the organization of favorite traders into groups based on specific criteria such as trading style, risk profile, or asset focus, aiding in focused analysis and exploration.
