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 | TATACOMMTOP | 1972.7 | -0.66% | 2144.1 | 1808.37 | 1472.63 |
74.47%
|
37.13%
|
72.6 | 9.51L | — Normal |
| 2 | IDEATOP | 14.95 | +0.13% | 15.48 | 13.53 | 11.58 |
86.41%
|
28.83%
|
87.88 | 68.56Cr | ▲ Upper Walk |
| 3 | BHARTIARTLTOP | 1798.2 | -1.14% | 1944.86 | 1845.57 | 1746.27 |
26.15%
|
10.76%
|
25.3 | 39.27L | — Normal |
| 4 | INDUSTOWERTOP | 429.65 | -0.19% | 448.24 | 426.75 | 405.27 |
56.74%
|
10.07%
|
49.43 | 48.07L | — 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.