Release notes
This page does not mirror every internal commit. It summarizes Scorpio Intelligence’s product evolution from early prototype to commercial edition incubation.
2026-06 · Commercial edition incubation
The product moved from a self-use research system toward a personal commercial edition, with the focus shifting from “it runs” to “it can be delivered, updated, and bounded clearly.”
- Clarified Personal Standard and Personal Pro boundaries around license, device status, data updates, result packages, and the local research workspace.
- Added Cloudflare data sync, production upload, resumable upload, cloud database status checks, and client-side data update entry points.
- Moved the architecture from a local research system toward a local-cloud hybrid delivery model across account access, licensing, cloud data, and the local workspace.
- Added signed result packages as a fallback path so research continuity can survive temporary network or authorization issues.
- Aligned the website, FAQ, brochure, and release notes around a more commercial narrative with less internal engineering language.
- Added package checks, quality guards, UTF-8 checks, and data persistence safeguards to reduce delivery risk.
2026-05 · Code logic implementation
Core code logic moved into focused implementation, turning the overall design into runnable asset research, strategy workflow, market phase, capital clue, and review validation capabilities.
- Implemented key code logic under the local overall architecture, moving the research flow from blueprint to runnable workstation.
- The strategy workspace began to consolidate market sentiment phases, leading-sector identification, tradability filters, and execution rhythm prompts.
- Introduced Agent / Skill separation, moving the system from single-point analysis toward a multi-role research assistance framework.
- Began organizing assets, industries, signals, risks, and research conclusions through an ontology-style knowledge structure.
- Introduced the AI governance architecture, clarifying boundaries among AI capabilities, research conclusions, risk prompts, and human review.
- Multi-source data and capital-flow context were introduced to support later research results, risk review, and report archiving.
- Commercial frontstage screens were refined around layout density, report structure, validation calendars, and delivery boundaries.
2026-04 · Local overall architecture design
The product completed its local overall architecture design, defining the desktop client as the core container for research data, interface workflows, local state, and asset research experience.
- Completed the local overall architecture design, creating a unified base for later code implementation, asset workspace, and strategy workspace.
- Established the foundational asset research workspace for observation, explanation, risk prompts, and research material accumulation.
- Moved the research flow from scattered scripts toward a user-facing workbench, creating the base for personal edition productization.
- Reinforced the positioning as research assistance rather than point prediction, leaving room for reports, result packages, and commercial boundaries.
2026-03 · Project initialization
Scorpio Intelligence started as a market understanding system rather than a simple quote viewer, with the long-term goal of supporting structured research and decision review.
- Initialized the project and its foundational research framework.
- Set the long-term direction around market information organization, accumulated insight, and decision support.
- Created the technical base for the later asset workspace, strategy workspace, and commercial edition incubation.