Sentiment Analyzerv1.0.1

Individual traders run the analyzer on overnight financial headlines and social media before market open to gauge whether the overall tone is bullish, bearish, or mixed. They use the batch analysis and daily report format to quickly decide whether to add, hold, or reduce positions. The keyword dictionary supports both Chinese and English markets, making it useful for A-shares, Hong Kong stocks, and US equities.

Commodity trading desks track sentiment shifts for specific contracts like coke, rebar, copper, crude oil, and glass using the per-instrument sentiment and 7-day trend table. A sudden spike or reversal in sentiment can trigger confirmation checks against price and volume data. This helps risk managers get an early signal before technical indicators fully react.

Analysts and portfolio managers apply the tool during earnings season to scan headlines around company reports for bullish or bearish language such as 'beat earnings' or 'guidance down'. Batch analysis quantifies how many headlines lean positive versus negative for a watchlist of stocks. The keyword frequency output highlights recurring themes like buybacks, layoffs, or investigations.

Financial media outlets and content creators use the trending keyword extraction to identify what topics and terms are dominating market discussions on news sites and Weibo. They combine frequency counts with sentiment scores to produce daily market mood articles or newsletters. This gives audiences a quick, data-backed snapshot of investor psychology.

Quantitative analysts use the overall bullish/bearish percentage to detect extreme sentiment readings (90%+ in one direction) that historically often precede reversals. They feed these signals into backtests or alerting systems as a complementary factor alongside price-based models. The simple keyword approach makes it easy to prototype and iterate before investing in heavier NLP pipelines.

Offer a free basic sentiment report for a few headline sources and charge a monthly subscription for real-time multi-source scanning, custom watchlists, and historical trend charts. The lightweight keyword engine keeps infrastructure costs low while the paid tier delivers convenience and coverage. Revenue comes from individual traders and small prop desks.

Expose the sentiment scoring, keyword extraction, and batch analysis as a REST API that fintech platforms, robo-advisors, and brokerage apps can embed into their own products. Pricing scales with API call volume, and clients pay for language coverage, custom keyword dictionaries, and SLA guarantees. This turns the skill into infrastructure rather than an end-user tool.

Package daily or weekly sentiment digests, sector rotation summaries, and contrarian alerts as a premium research product sold to hedge funds, commodity desks, and corporate strategy teams. Human analysts add commentary and context on top of the automated keyword output. High-value clients pay for customization, exclusivity, and direct analyst access.