ATLAS fair value
ATLAS has no fair value for this stock today.
Sern Kou Resources stock price today, ATLAS forecast and fair value
Basic Materials · Lumber & Wood Production · Bursa Malaysia · Malaysia
Prices as of Oct 26, 2026 · MYR
ATLAS has no fair value for this stock today.
48%
that it ends higher than today in 21 sessions
ATLAS's own quantitative analysis, all in one place.
Plans from €3.99 a month.
ATLAS's model gives Sern Kou Resources a 48% chance of finishing higher a month from now (21 trading sessions) than today: close to a coin flip.
In half of the simulated outcomes the price ends between MYR 0.711 and MYR 0.847; in 9 out of 10, between MYR 0.609 and MYR 0.990. Estimated annual volatility is 56%.
ATLAS does not publish a fair value for 7180.KLSE right now, but it does show its odds of rising: close to a coin flip.
Over the last 52 weeks 7180.KLSE has traded between MYR 0.710 and MYR 0.885. Today it is 11.9% below that high and 10% above its low.
Its beta is -0.06: it tends to move less than the market.
Sern Kou Resources Berhad, an investment holding company, manufactures and trades in wooden furniture in Malaysia, the United States, Europe, and the Asia-Pacific. It operates through Manufacturing and Trading of Furniture; and Processing and Trading of Wood segments.
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Other companies in the same line of business:
Sern Kou Resources Berhad, an investment holding company, manufactures and trades in wooden furniture in Malaysia, the United States, Europe, and the Asia-Pacific. It operates through Manufacturing and Trading of Furniture; and Processing and Trading of Wood segments.
48%: close to a coin flip. In half of the simulated outcomes, 7180.KLSE ends the month between MYR 0.711 and MYR 0.847.
Sern Kou Resources's market capitalization is MYR 864M. We do not show a P/E because it has no positive earnings to base one on.
ATLAS estimates annual volatility at 56%. In a typical month, half of the outcomes end between MYR 0.711 and MYR 0.847.
Not investment advice. ATLAS estimates are produced by statistical models from public data; they can be wrong and past performance does not predict future results. Consider your own situation before investing. Disclaimer
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