Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.
| # | Symbol | LTP | Chg % | Upper | Middle | Lower | %B Position | Bandwidth | RSI | Volume | Signal |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | IDEATOP | 14.96 | +0.81% | 15.75 | 14.63 | 13.51 |
64.73%
|
15.31%
|
58.95 | 53.77Cr | — Normal |
| 2 | BHARTIARTLTOP | 1840.0 | +0.21% | 1979.93 | 1885.39 | 1790.85 |
25.99%
|
10.03%
|
36.38 | 37.30L | — Normal |
| 3 | TATACOMMTOP | 1755.2 | -0.72% | 1784.49 | 1711.18 | 1637.87 |
80.02%
|
8.57%
|
60.65 | 1.67L | ▲ Upper Walk |
| 4 | INDUSTOWERTOP | 387.95 | +4.29% | 388.01 | 377.31 | 366.61 |
99.72%
|
5.67%
|
58.63 | 1.66Cr | ▲ Upper Walk |
Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours
Bollinger Bands is a popular technical indicator developed by analyst John Bollinger in the 1980s. It consists of three lines plotted around a simple moving average to measure market volatility and identify overbought or oversold conditions.
When the bands widen, volatility is increasing — more trading opportunities. When bands narrow (squeeze), volatility is low and a breakout is likely approaching.