China Stock Main Forcev2.0.0

Retail traders use the 'main force net inflow' metric to filter candidate stocks for short-term trading. By running the script with default parameters, they obtain a list of stocks sorted by net inflow, then further analyze with web search for news or fundamentals. This helps identify potential momentum stocks without relying on paid data sources.

Quantitative analysts use the script to generate a list of stocks with high main force inflow, which can be used as a signal for backtesting short-term mean-reversion or momentum strategies. The output JSON includes parameters and time periods, enabling systematic collection of daily data for building and testing trading algorithms.

Research analysts run the skill to get a candidate pool, then fetch financial news and company announcements via web_fetch for each candidate. They compile a summary report of top main-force inflow stocks, highlighting recent catalysts. This accelerates morning research for stock ideas.

Finance educators use the skill to demonstrate how public main force data can be extracted and interpreted. Students run the script in a controlled environment, observe the output, and learn to correlate net inflow with price movements. This provides a hands-on learning experience without complex API setups.

Developers integrate this skill into a dashboard that runs the script periodically (e.g., every 5 minutes) to update a list of top main-force inflow stocks. Combined with charting libraries, users can visualize real-time shifts in market money flow, aiding intraday decision-making for active traders.

Provide a subscription-based service where retail traders access daily filtered main-force stock lists and related analytics. The script's public data source reduces costs, allowing competitive pricing. Revenue comes from monthly or yearly subscriptions.

License the cleaned and aggregated main-force data as a raw data feed for quantitative hedge funds or proprietary trading firms. The JSON output can be standardized and sold via API with usage-based pricing.

Partner with financial news websites or mobile apps to embed the main-force candidate pool as a daily 'hot stocks' section. The media platform pays for unique content to attract user engagement, while the skill provider earns content licensing fees.