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Indian stock market · indicator signal

OBV bearish divergence on HDFC Life

On HDFC Life the obv bearish divergence showed up 21 times. The target came first 43% of the time, the stop 57%, and 0% went nowhere within 12 candles.

Counted on HDFC Life: daily candles from November 2017 and hourly candles from October 2024.

By timeframe

TimeframeFoundTarget firstStop firstWent nowhere
Daily617%83%0%
Hourly1553%47%0%

HDFC Life against the rest

ChartsFoundTarget firstStop firstWent nowhere
HDFC Life2143%57%0%
All Indian stock market charts1,11038%58%3%
Every market8,77437%55%8%

The last 8 times

Counted by the Trading Class research engine on real past candles: entry at the signal candle's close, target 1.5 × ATR(14), stop 1 × ATR(14), 12 candles to decide, a candle that touches both counts as the stop. How we count. Past data, not a forecast and not advice.

What the obv bearish divergence is

Price made a higher high, but volume flow made a lower high. Buyers were running out of force.

Imagine climbing higher up a hill while fewer and fewer friends keep climbing with you. You are higher, but with less support behind you. An OBV bearish divergence is when price makes a higher high, but OBV, the running total of volume flow, does not follow it up.

The full obv bearish divergence lesson, video and quiz ›

Other patterns on HDFC Life

Inside bar · Stochastic bullish cross · Stochastic bearish cross · Spinning top · Doji · Volume profile rejection · MACD bullish cross · Volume profile bounce · MACD bearish cross · EMA 9/21 bearish cross · all of them

The obv bearish divergence elsewhere

Bharti Airtel · Infosys · Coal India · Hindalco · Vedanta · Tata Steel · Bajaj Finserv · Bajaj Auto · Kotak Mahindra Bank · TCS · S&P 500 · Ethereum · Bitcoin

Questions

How often does the obv bearish divergence work on HDFC Life?

In 21 cases on HDFC Life, the target (1.5 × ATR) came before the stop (1 × ATR) 43% of the time and the stop came first 57%; 0% went nowhere within 12 candles.

What is the obv bearish divergence?

Price made a higher high, but volume flow made a lower high. Buyers were running out of force.