quantskills
Official@quantskills
Quant-focused financial research engine for generating A-share market summaries and extracting investment signals from social media data streams.
Agent Skills by quantskills
Showing 4 vetted skills indexed across 4 GitHub repositories.
quantskillsfutures-deepview-analyst
Analyzes futures broker positions, basis, term structure, and inventory via Pandadata DeepView APIs.
quantskillsskill-quant-factor-skill-factory
Batch-generate and validate framework-neutral OHLCV quant factor Skills on real market data.
quantskillsserenity-research-model
Extract structured signal units from social media posts for investment research.
quantskillsmarket-daily-review
Generate A-share end-of-day market review reports from Pandadata.
Frequently Asked Questions About quantskills
FAQPage SchemaWhat specific financial tasks does quantskills enable?βΌ
The organization enables the generation of end-of-day A-share market review reports and the extraction of structured investment signals from social media platforms. These capabilities support quantitative research by transforming raw market data and social sentiment into actionable intelligence for financial decision-making.
Who is the target persona for these research capabilities?βΌ
These capabilities are designed for quantitative researchers, financial analysts, and portfolio managers who require systematic processing of A-share market data and social media sentiment. The focus is on professionals needing to convert high-volume, unstructured information into structured research inputs for investment strategy development.
What are the primary data dependencies for these research models?βΌ
The market review functionality relies on Pandadata as the primary source for A-share equity information. The signal extraction model requires access to social media data streams to identify and parse relevant investment signals into structured units for further quantitative analysis.