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 | GUJGASLTDTOP | 400.5 | -0.57% | 409.09 | 380.71 | 352.33 |
84.87%
|
14.91%
|
69.25 | 3.87L | ▲ Upper Walk |
| 2 | IGLTOP | 164.32 | +1.4% | 168.16 | 159.48 | 150.79 |
77.89%
|
10.89%
|
66.62 | 23.54L | — Normal |
| 3 | MGLTOP | 1089.1 | +1.37% | 1135.15 | 1081.54 | 1027.92 |
57.05%
|
9.91%
|
50.39 | 3.05L | — Normal |
| 4 | GAILTOP | 167.4 | -0.09% | 171.18 | 163.16 | 155.15 |
76.42%
|
9.82%
|
57.96 | 80.47L | — Normal |
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.