Insider Trading Signal Desk
Global Filters (Top-Down Universe)
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How To Read This Matrix
Conviction blends net value, net quantity, repeat prints, price edge, and book imbalance into a 0-100 institutional score. Prioritize symbols above 80 with repeat prints and a stable risk regime.
Use Price Edge % to judge whether CMP still trades near the insider average entry — smaller edge on accumulation names offers cleaner risk-defined entries.
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Signal Design
Rows are ranked by conviction score using net value, repeat prints, and price-edge dynamics to prioritize high-information insider activity.
Risk Framing
Every symbol is tagged into NORMAL, CROWDED_LONG, CROWDED_SHORT, or VOLATILE to align entries with risk regime context.
Execution Workflow
Use global filters for universe selection, local filters for precision, and row modal explainability for final decision support.
How To Use This Page + Insider Terms
Practical Workflow for Traders
- Set global filters first: symbol universe, action type, insider category, lookback window.
- Use local signal filters for conviction threshold, net-value floor, and risk regime alignment.
- Sort by conviction or net flow to surface strongest insider signal clusters.
- Click any row to review explainability, invalidation, flow tags, and price-edge context.
- Validate setup with chart structure and liquidity before position sizing.
Glossary (Insider Trading Analytics)
- Conviction Score: Composite rank (0-100) of insider flow strength.
- Net Flow: Aggregate value of buys minus sells for each symbol.
- Repeat Prints: Multiple insider executions in the same symbol window.
- Price Edge: Difference between current market price and insider average price.
- Risk Regime: Context bucket that helps map trend crowding and instability.
Strongest when high conviction and repeat prints align with improving price edge and stable risk regime.
Prioritize caution if sell-dominant flow combines with volatile regime and repeated distribution prints.
This page targets insider trading screener India, promoter buying analysis, and conviction-based insider flow analytics.
Insider Trading Education Hub (Detailed)
This insider trading screener for India is designed for practical trading decisions: identify high-conviction insider flow, compare it with current price behavior, and align entries with risk regime.
Step-by-Step Decision Framework
- Set universe filters: symbol, insider category, and lookback days.
- Select action type (purchase or sale) to isolate directional intent.
- Use local filters to set minimum conviction, repeat prints, and net value.
- Sort by conviction or net flow to prioritize strongest insider setups.
- Open row modal and validate explainability, invalidation, and risk regime.
- Execute only when insider signal agrees with chart structure and liquidity.
How To Read Core Metrics
- Net Flow: Value of insider buys minus sells for each symbol.
- Net Qty: Share quantity imbalance showing accumulation/distribution pressure.
- Avg Insider Px: Blended insider execution level for the active period.
- Edge %: CMP versus insider average price. Helps evaluate timing advantage.
- Conviction: Composite score from value, quantity, repeat behavior, and edge.
- Repeat Prints: Multiple insider entries in same symbol increase signal quality.
The strongest positive flow appears when conviction is high, repeat prints are present, and CMP remains near the insider average zone.
Strong negative flow appears when insider outflow persists across prints and the risk regime turns CROWDED_SHORT or VOLATILE.
Use modal invalidation levels as your trade guardrail. If invalidation triggers, reduce risk instead of averaging blindly.
Risk Regime Playbook
- NORMAL: Standard position sizing and regular stop framework.
- CROWDED_LONG: Favor pullback entries; avoid chasing late breakouts.
- CROWDED_SHORT: Protect long exposure and avoid weak-structure averaging.
- VOLATILE: Reduce size, widen decision thresholds, focus on liquidity quality.
Common Mistakes To Avoid
- Trading on one print only without repeat or net-flow confirmation.
- Ignoring market cap impact and liquidity while using large position sizes.
- Treating every insider sale as bearish without checking context and trend.
- Using conviction score alone without checking technical structure.
- Skipping invalidation and risk controls after entering the trade.
Search intent coverage: insider trading screener India, promoter buying analysis, director share purchase tracker, insider net flow analytics, and high conviction insider trades. The goal is actionable clarity, not raw data overload.
Insider trading disclosures tracker
Insider Trading presents reported transactions by promoters, management and other disclosed insiders. Transaction dates, quantities and roles help readers investigate ownership changes alongside company filings.
Distinguish trade date from disclosure date and purchases from sales, transfers or pledge-related activity. Repeated transactions may merit review, but the motive and wider financial position are not established by the report. Check the original disclosure and company fundamentals rather than infer an investment signal from the insider's role alone.
What is insider trading disclosure data?
SEBI regulations require promoters, directors and key managerial personnel to publicly disclose their trades in company shares — buys, sells and pledges — within set deadlines. This page aggregates those disclosures with the insider's role attached to each transaction.
Is promoter buying a bullish signal?
Historically one of the better fundamental footnotes: promoters buying with their own capital after quiet periods signals internal conviction, especially when clustered across multiple insiders. It is a starting point for research rather than a standalone buy signal — fundamentals still must confirm.
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