Scatter Stocks is an open-source web-based visualization tool built around the idea of “how news events affect stock prices across industries.” Inspired by a Bloomberg article about companies being “Amazoned,” it attempts to extend Bezos Bombshells-style charts to more companies and events. Users can select a news headline, manually add an event date, and then choose multiple companies to generate comparison charts.
The tool’s main output is a chart showing stock movements after a news event: it displays the highest percentage change within 24 hours after the news, with bubble size representing the impact of that change on the company’s market capitalization. Companies are organized into categories such as Food, Health, Retail, Auto, Tech, and Real estate. In terms of data, stock tickers, company names, industries, and market caps come from a static Nasdaq CSV, which the author converted into JSON and reclassified; stock price data comes from Alpha Vantage. Percentage changes are calculated by comparing prices around the event date, or the nearest trading day, to find the largest intraday difference. The methodology is reasonably transparent, but the static company data requires manual updates, and the project does not disclose details on scale, update frequency, or API stability.
The main content does not mention commercial pricing, subscription plans, or paid features, and the project is marked with an MIT License, making it closer to a free open-source project. Support is mainly through GitHub issues, with a demo video and a planned technical blog. For enterprise marketing or SEO teams, this level of support is limited, and there is no visible SLA, customer service, or training material.
Its strengths are a clear concept, transparent data logic, support for custom events, and the ability to visually compare multiple companies. It is useful for financial news analysis and learning data visualization. Its limitations are that it is not a standard marketing or SEO tool: it does not provide keyword, ranking, backlink, traffic, or advertising analysis. Its data depends on third-party APIs and static files, so real-time performance and stability are uncertain, and the page has previously shown chart generation failure messages.
It is suitable for individual researchers, data journalism learners, finance/market analysis enthusiasts, and small teams that want to build on event-driven charting. It is not suitable as a replacement for an SEO or marketing growth platform. The source text provides no information on access from mainland China, so actual testing is required. If the tool depends on GitHub or Alpha Vantage, network stability may vary by environment. For marketing/SEO use cases, consider Semrush, Ahrefs, or Similarweb; for financial visualization, compare it with TradingView, Yahoo Finance, or Bloomberg.
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