Stock and fund research
- Market data uses built-in Local mode, prioritizing Eastmoney. A-share, Hong Kong and US selections remain consistent across related views.
- Intraday, daily, weekly, monthly, quarterly and yearly charts support 25–200 candlesticks, full-screen views and visible-range percentage changes.
- Fund Market covers All, Equity, Mixed, Bond, Index, QDII, ETF and LOF with on-demand pagination and search.
- Fund details include disclosed NAV, managers, fees, allocation, disclosed holdings, announcements and historical NAV curves, keeping NAV distinct from exchange prices.
- The full-market synchronization window can be dragged and collapsed without interrupting the current task.
Research agent and AI workflows
- Multi-turn conversations support search, pinning, renaming, restored history and streaming answers.
- Look up stocks and funds and select watchlist items and notes within a conversation; preview and confirmation still precede every request.
- Manage providers and models by task, with default models, request logs, stop controls and answer regeneration.
- Preview note revisions before replacing or appending content; explicitly save briefings and analysis reports.
Local records and quote monitoring
- Store notes, watchlists, manual holdings, conversations and model credentials encrypted locally, with import and export.
- Cache merging preserves existing same-source records and only adds missing content.
- Quote monitoring supports eligible instrument price rules and system notifications, requiring the app to remain running and fresh quotes to arrive continuously.
- Chinese and English, light and dark themes, global search and a collapsible sidebar refine everyday research.
Software testing phase
This phase focuses on quote timestamps and fund NAV conventions, conversation and note persistence, monitoring conditions and recovery from errors. Feature descriptions reflect the current desktop implementation; platform installation details are recorded separately in the download center.
Send feedback to Xiaofeng with your system, app version, steps and expected result to help reproduce and improve the experience.