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Indian stock market · indicator signal

OBV bearish divergence on Axis Bank

On Axis Bank the obv bearish divergence showed up 21 times. The target came first 33% of the time, the stop 62%, and 5% went nowhere within 12 candles.

Counted on Axis Bank: daily candles from January 2015 and hourly candles from October 2024.

By timeframe

TimeframeFoundTarget firstStop firstWent nowhere
Daily1040%50%10%
Hourly1127%73%0%

Axis Bank against the rest

ChartsFoundTarget firstStop firstWent nowhere
Axis Bank2133%62%5%
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 Axis Bank

Inside bar · Stochastic bearish cross · Stochastic bullish cross · Spinning top · Doji · Volume profile rejection · MACD bearish cross · MACD bullish cross · EMA 9/21 bearish cross · EMA 9/21 bullish 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 Axis Bank?

In 21 cases on Axis Bank, the target (1.5 × ATR) came before the stop (1 × ATR) 33% of the time and the stop came first 62%; 5% 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.