Bullish Sector Divergence
Companies where insiders and institutions are buying while the majority of sector peers are selling — a contrarian signal suggesting differentiated conviction within the industry.
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Data may be delayed and accuracy is not guaranteed. All investment decisions are solely your responsibility. Verify information independently and consult a qualified financial advisor before investing. About · Methodology
Why This Matters
Sector-level selling often reflects macro concerns or industry-wide headwinds. When a company attracts buying from both insiders and institutions while peers face outflows, it signals that company-specific factors are overriding sector trends. This type of contrarian conviction — where the most informed investors diverge from the sector consensus — has historically been a meaningful indicator of differentiated future performance.
0 Companies with Sector Outlier Signals
Insider data from Form 4 filings (typically filed within 2 business days of transaction). Institutional data from 13F filings (reported quarterly, up to 45 days after quarter end). Fundamentals from 10-K/10-Q filings (quarterly). Signals are recalculated as new filings become available.
No companies currently match this signal type. Signals are recalculated regularly as new SEC filings become available.
What Is a Bullish Sector Divergence Signal?
A bullish sector divergence signal identifies companies where corporate insiders are purchasing shares and institutional investors are net buyers, while the majority of companies in the same industry sector are experiencing net institutional selling. This divergence suggests that investors with deep company-specific knowledge are taking a differentiated view from the broader sector trend. Companies with this signal may be benefiting from company-specific catalysts, improving competitive positioning, or management confidence that distinguishes them from sector headwinds.
Insider trading data from SEC EDGAR Form 4 filings. Institutional holdings from quarterly 13F filings. Financial fundamentals from 10-K and 10-Q filings. All data is public domain and does not constitute investment advice.
Other Signal Types
Related
Frequently Asked Questions
What are smart money signals?
Smart money signals are cross-referencing indicators that combine multiple SEC filing data sources — insider trading (Form 4), institutional holdings (13F), and financial fundamentals (10-K/10-Q) — to identify stocks where well-informed investors are acting with conviction. When insiders, institutions, and financial metrics all point in the same direction, it may indicate meaningful information about a company's prospects.
How are smart money signals calculated?
Signals are computed by combining three independent data sources from SEC EDGAR: (1) insider buying/selling from Form 4 filings (last 30 days), (2) institutional ownership changes from 13F filings (quarterly), and (3) fundamental metrics from 10-K/10-Q filings (revenue growth, profit margins). Each signal type has a score from 0-100 based on the strength and alignment of these factors.
How often are smart money signals updated?
The underlying data updates at different frequencies: insider trading data (Form 4) is typically filed within 2 business days of a transaction, institutional holdings (13F) are filed quarterly within 45 days of quarter end, and financial fundamentals update with each quarterly earnings filing. Signal calculations run regularly to incorporate the latest available data.
What does a convergence signal mean?
A convergence signal indicates that corporate insiders are buying shares, institutional investors are increasing their positions, and the company's financial fundamentals are improving — all at the same time. This triple-positive alignment from three independent sources suggests broad agreement among well-informed parties that the stock offers value.
Should I buy stocks based on smart money signals?
No. Smart money signals are informational tools, not investment recommendations. While they highlight interesting patterns in SEC filing data, they should be one of many inputs in your research process. Insider selling can have innocent explanations, institutional moves may lag reality by 45+ days, and past patterns do not predict future returns. Always do your own research before making investment decisions.