An InsiderAlpha analytical classification built from eligible insider-transaction features; it is not an SEC field or investment recommendation.
Definition
Insider sentiment summarizes selected transaction patterns after classification, validation, and aggregation. Inputs can include eligible P and S value, unique buyers and sellers, roles, cluster counts, remaining ownership, plan context, time windows, and data-quality confidence.
Insider sentiment is a versioned InsiderAlpha research feature. It is not reported by the SEC, and it should never hide the filings, eligibility rules, confidence, or limitations behind the classification.
Related Form 4 codes
Inputs and Separation from Net Flow
Net capital flow is the transparent dollar balance of eligible P minus S value. Sentiment can add breadth, role, cluster features, size relative to holdings, plan evidence, recency, and quality confidence. Those additions make it a different metric and require explicit versioning.
A score should expose the time window, eligible transaction codes, treatment of private P/S trades, Rule 10b5-1 evidence, missing prices, amendments, unique insiders, and any role weighting.
How It Appears in the Dataset
Inputs include Type, Total_Value, calculated_total_value, Date, standard_role, role_confidence, is_cluster_buy, cluster sizes, shares_owned_after, plan language in Notes, quality status, accession, and current-record lineage.
The output should carry an algorithm version and confidence tier. Low confidence can result from missing prices, incomplete footnotes, weak role mapping, private transactions, or limited sample coverage even when the directional dollar balance is large.
Editorial and Model Guardrails
Do not label the score predictive, actionable, or institutional-grade without a dated out-of-sample evaluation. Publish calibration, universe, survivorship controls, transaction costs where relevant, and known failure modes.
The user must be able to move from classification to contributing transactions and then to EDGAR. Sentiment is a research summary, not a substitute for source evidence or an investment recommendation.
Sentiment Layers
| Layer | Example Inputs | Output |
|---|---|---|
| Flow | Eligible P and S nominal value | Transparent net dollar balance. |
| Breadth | Unique buyers, sellers, and clusters | Distinguishes one large filer from a broader pattern. |
| Context | Role, holdings, plan evidence, recency | Adds interpretation with explicit assumptions. |
| Confidence | Coverage, validation, and lineage | Communicates how much evidence supports the output. |
Primary Sources & Filing References
- SEC Form 4 General Instructions
Primary definitions for the transaction and ownership inputs used by the derived feature.
Live Insider Data
Track real-time buying, selling, and ownership-change activity on high-volume tickers:
Why it matters for Whale Tracking
A documented score can make a large filing set easier to compare while keeping raw evidence accessible. It should be treated as a research feature whose methodology, coverage, calibration, and limitations are published.
Technical Nuance
Net capital flow is one transparent input, not the sentiment score itself. Role weighting, cluster logic, plan treatment, missing footnotes, amendments, and incomplete price data can alter classification and must be versioned.
Track Insider Sentiments Live
Stop reading history. See what corporate insiders are buying right now in our real-time terminal.
Real-World Example
"A ticker can have positive net flow but low sentiment confidence when the result comes from one private Code P transaction with limited footnotes and incomplete role data."
Inspect before purchasing
Preview 10,000 real rows and all 64 fields
Validate the schema and research workflow before buying the 1,633,946-row release. No email or account is required for the sample.
- Reproduce a published report
- Run the included queries with DuckDB
- CSV, Parquet and DuckDB in the full release
- Three months of API access included
One-time payment · instant download · regular price $199