Downside Risk Screener

Curated downside-risk watchlist

Stocks losing key support levels, weakening in relative strength, or showing early signs of structural deterioration.

For research and educational purposes only — not investment advice.

Prices and day-change figures use the last daily close from the latest scan — not live intraday NSE quotes.

How the Downside Risk Screener Works

What is a bearish setup?

A bearish setup in this product means our daily rules saw multiple stressors at once—broken pivot definitions, inverted average stacks, clustered distribution-style volume, lagging RS, etc. Rows are research labels: they do not tell you to flat, short or avoid a name.

Support Loss Detection

The scanner identifies pivot lows (local minima with at least two confirming candles on each side) as the true support levels. A close more than 0.5% below pivot support triggers a structural break flag — stronger than a simple rolling minimum, because it accounts for the actual swing low that matters to market participants.

Distribution Pattern

Distribution days are detected using a volume z-score model. A bearish distribution day requires price closing down, volume at least 0.5 standard deviations above the 50-day average, a wide spread and a close near the low of the day — all weighted together for accuracy. Three or more clusters often precede major NSE breakdowns.

Confidence Tiers Explained

Scores above 80 are tagged Severe, 65–80 High, and 50–65 Moderate. Labels only rank how many model modules agreed on a given day—they are not personalised risk mandates.

How Practitioners Combine This Screener With Their Process

Step 1 — Compare the list to holdings you already track

If you maintain a personal watchlist or portfolio log, you can search those tickers after each refresh to see whether the model now flags stress. Any follow-up plan is yours—we do not know your objectives or constraints.

Step 2 — Read the failure flags

The Notes column spells out which rules fired—pivot language, distribution counts, DMA crossovers, directional trend strength, etc. Additional flags generally mean more modules agreed, not that any single outcome is guaranteed.

Step 3 — Understand why “cheap” can stay cheap

Sharp drawdowns paired with bearish structure hooks are discussed in many books as difficult areas to average into blindly. If you eventually look for stabilization, you might revisit other scanners—but Swing Edge will not time that for you.

Step 4 — Derivatives homework (if it applies to you)

Some professionals map stressed cash names to listed derivatives for hedging or directional work—subject to exchange rules and suitability. Swing Edge never places those trades and does not recommend shorting; it only exposes the same statistical flags in a table.

Step 5 — Retest tags in plain language

When price revisits broken pivot areas and settles back underneath, discretionary literature often studies that sequence. Our tagger mirrors the geometry so you can read the narrative on a chart—you still decide whether it matters for your mandates.