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Price levels where an index or stock has repeatedly reversed or stalled, treated by traders as zones of likely buying or selling pressure.
Support is a price zone where falling prices have historically found buyers strong enough to halt or reverse the decline, while resistance is a zone where rising prices have repeatedly met sellers strong enough to cap the advance. These are not exact numbers but bands, built from prior swing highs and lows, round figures, and levels where large volumes previously traded. On Nifty 50 and Bank Nifty charts, traders mark these zones on daily and intraday timeframes and watch how price behaves when it approaches them again.
In the Indian F&O market, support and resistance are rarely read in isolation. Many traders cross-check a price-based level against derivatives data such as open interest concentration at nearby strikes, because a strike carrying an unusually large build-up of contracts can act as a magnet or a wall. When a chart-based support level lines up with a strike showing a heavy OI wall, the conviction behind that zone tends to be higher than either signal alone would suggest.
Options sellers, in particular, lean on support and resistance to pick strikes for credit strategies: selling puts near a well-tested support zone or calls near resistance, on the assumption that price is more likely to respect the zone than break it. This is also where max pain is often referenced as a secondary input, since price sometimes gravitates toward the max pain strike as expiry nears, reinforcing or contradicting the technical picture.
The key gotcha is that support and resistance are probabilistic, not guaranteed. A level that has held three times can break decisively on the fourth attempt, especially around results, RBI policy days, or global cues, and a broken support often flips into resistance on the next pullback. Traders who treat these zones as certainties rather than probabilities tend to get caught offside; combining price levels with strikewise open interest data is a way of narrowing that uncertainty rather than eliminating it.
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