Pivot Points
Pivot Points are calculated support and resistance levels derived from the previous session's high, low, and close. They are widely used by intraday traders of Nifty futures, Bank Nifty options, and large-cap NSE stocks as pre-calculated reference zones for the trading day.
The classic pivot point formula calculates a central pivot (P) as the average of the prior session's high, low, and close. From this pivot, three levels of support (S1, S2, S3) and three levels of resistance (R1, R2, R3) are derived using fixed formulas. These levels are recalculated fresh at the start of each trading session, providing an objective, formula-based map of potential intraday reference zones.
On NSE, Nifty and Bank Nifty pivot points were among the most routinely published pre-market data points by brokerage research desks and financial media. Analysts and traders used these levels to structure their intraday analysis — noting whether the morning opening was above or below the pivot, and observing price behaviour around R1 or S1 as the session progressed. The widespread availability of these calculations meant the levels were monitored by a large number of participants simultaneously.
Variants of the classical pivot formula include Woodie's pivots, Camarilla pivots, and Fibonacci pivots, each using slightly different weighting and derivation methods. Camarilla pivots, in particular, placed greater emphasis on the prior close and generated tighter intraday levels that were used for mean-reversion strategies around the open. Each variant had its adherents among NSE intraday trading communities.
Weekly and monthly pivot points — calculated from the prior week's or month's high, low, and close — were used by swing traders and positional traders to identify structural support and resistance zones over a longer horizon. Nifty weekly pivot levels were routinely discussed in weekend market analysis reports.
A limitation of pivot points is that they are purely formulaic and do not account for the context of the prior session's move. A very wide-ranging prior session will generate widely-spaced pivots, and a narrow-ranging session will generate closely-spaced ones. Whether these levels represent genuine demand-supply zones or merely mechanical price calculations is debated; their practical utility likely depends on the extent to which other market participants also monitor and act around them.