Qovest Operational

Qovest is an AI research and investment workspace launched by Alibaba Cloud for professional institutional investors. Users can state their needs in a single sentence, and Qovest automatically retrieves data, analyzes it, generates reports, and continuously tracks results at a set frequency. Research findings are automatically consolidated in the “Investment Research Space,” supporting collaborative follow-up research without having to start from scratch each time. Qovest is built on authoritative financial databases and its proprietary Harness framework for financial-scenario Agents.

One-sentence deep research: State your research needs, and Qovest automatically retrieves data, collects materials, conducts in-depth analysis, and generates professional reports.
Investment Research Space: Research findings, trading notes, and questions awaiting validation are automatically archived, making research traceable and easy to continue without starting from scratch each time.
Scheduled tracking tasks: Set a tracking frequency for research subjects, and Qovest automatically updates data and reruns tracking analyses.
Dynamic tracking dashboard: Continuously break down changes in key variables, such as the proportions of exchange-rate factors and interest-rate hike expectations in a gold ETF, and update the analysis as the market changes.
Interactive industry-chain maps: Break down the per-unit value and localization level of each industry-chain segment, producing visual and interactive maps.
Linked assumption calculations: Adjust any underlying assumption, such as an investment estimate for data-center power infrastructure, and the system automatically recalculates the results.
Traceable results: Data is sourced from authoritative financial databases and deployed on Alibaba Cloud, with clear sources provided for output results.
Prebuilt research templates: The home page provides multiple investment research examples, allowing users to select a subject and start research quickly.

Register an account: Visit the Qovest website at https://www.qovest.cn/ to register.
Submit a research request: Describe your research topic in one sentence in the dialog box. Qovest automatically retrieves data, collects materials, and conducts in-depth analysis.
Generate research results: Wait for the research report to be generated automatically. It includes interactive charts and clear data sources.
Set scheduled tasks: Set a tracking frequency for a research subject. Qovest will continuously rerun the analysis and update the dynamic dashboard.
Consolidate research findings: Research findings, trading notes, and questions awaiting validation are automatically archived in the “Investment Research Space,” allowing you to continue the analysis later.

Research that accumulates over time: Research findings, trading notes, and questions awaiting validation are automatically archived in the Investment Research Space, allowing each research project to be continued without starting from scratch.
Continuous tracking: Schedule tasks to automatically update data and rerun research at set frequencies, keeping research aligned with market developments.
Authoritative, traceable data: Qovest sources authoritative financial databases and deploys them on Alibaba Cloud. Output results include clear sources, meeting professional investors’ accuracy requirements.
Financial-scenario engineering framework: The proprietary Harness framework connects the complete workflow from data retrieval to analytical output, delivering more professional and reliable results.
Interactive analysis tools: Interactive industry-chain maps and linked assumption calculations reflect analysts’ real-world workflows.

In-depth industry-chain analysis: For example, break down the per-unit value and localization level of each segment in the humanoid-robot industry chain and produce an interactive industry-chain map.
Industry investment scale estimation: Estimate investment scales for sectors such as data-center power infrastructure, with automatic recalculation whenever an underlying assumption changes.
Long-term tracking of ETFs and investment subjects: Monitor variables such as gold prices, the U.S. Dollar Index, and ETF holdings; update them weekly, analyze the drivers of gains and losses, and build a dynamic tracking dashboard.
Trading-note management and continued research: Connect personal trading notes to the Investment Research Space, making historical research traceable, comparable, and easy to continue.
Enterprise team collaboration: Upgrade the Investment Research Space into a research hub for internal information sharing and task scheduling, serving investment research teams at financial institutions.