Case study · 2026-06-27

A textbook VCP, start to finish

Educational illustration. "Meghavarna Textiles" is a fictional company invented for teaching. All prices, dates and volumes below are constructed to illustrate the pattern; any resemblance to a real listed company is coincidental. This is not a recommendation of any security.

The best way to learn a pattern is to walk one trade through every rule, from first tightening to final exit. Here is a constructed, idealised example — the kind of sequence The Coil screen (KALMAT's VCP-style screen) is built to catch.

The backdrop

Meghavarna Textiles (symbol MGVT) enters the story as an established leader: market value around ₹6,800 crore, average turnover about ₹22 crore a day — comfortably above the liquidity floor — and a relative-strength rank of 92 after an eight-month advance from ₹210 to ₹495. Its industry has been sitting in the leading quadrant of the rotation map for a quarter, with two peers carving bases of their own. In late February the stock finally stops going up and starts going sideways.

The base: three contractions, each tighter

That is the signature: 21% → 11% → 5%, each swing roughly halving. Sellers are being exhausted at progressively higher floors. Through all fourteen weeks the RS rank never drops below 88 — the stock is resting better than the market is running. The scan marks the pivot at ₹512, the high of the base's right side.

The breakout day

On day 68 of the base, MGVT opens at ₹498, clears ₹512 before noon and never looks back, closing at ₹524 — up 6.1% on the day, 2.3% past the pivot, on 4.2× its 50-day average volume. Every box ticks: a close (not a poke) above the pivot, volume in the institutional range, entry still inside the buy zone, a leading stock in a leading group, and a market health dial in its healthy zone that week.

The trade, by the rules

The arithmetic

Entry ₹524, exit ≈ ₹818: +56% in about 91 trading sessions. On 357 shares, roughly ₹1.05 lakh of profit against ₹15,000 of originally budgeted risk — a payoff of about 7R. One trade like this pays for a long string of −8% failures, which is the entire economic engine of the method.

What to take away

Real trades are messier than constructed ones — which is exactly why the next note in this series walks through a breakout that failed.

Educational illustration with a fictional stock. KALMAT Screener is not SEBI-registered and nothing here is investment advice or a recommendation to buy or sell any security.
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