LEOPARD SCAN: 277.78 SOL → 310 SOL. +32.22 SOL. AN 11.6% INCREASE ON THE DISPLAYED BALANCE. I created Leopard Scan to track opportunities, prioritize candidates and make the history behind each target traceable. The session shown in the video records: → Starting balance: 277.78 SOL → Ending balance: 310.00 SOL → Displayed session yield: +32.22 SOL → Balance increase: +11.6% → Captures recorded: 5 The workflow has four core jobs: → SCAN - identify candidates worth following → TRACK - maintain their status as conditions change → PRIORITIZE - organize the target queue → RECORD - preserve the sequence of events and outcomes The five-target view brings estimated values, tracking status and activity history together. The aim is to show why something became a target and what happened afterward, rather than leave a balance chart as the only record. These are on-screen figures, not a verified trading record. Realized net profit needs to account for execution costs, fees, losses and any deposits or withdrawals. The GitHub repository and working scanner are coming soon. The release will move the project toward public testing, where the implementation can be inspected and its results evaluated directly. A scanner should earn its place through repeatable results, not a convincing screenshot.