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 | ABBTOP | 7167.5 | +0.16% | 7452.83 | 6760.12 | 6067.42 |
79.4%
|
20.49%
|
76.21 | 2.50L | — Normal |
| 2 | LTTSTOP | 3212.7 | -1.82% | 3787.74 | 3501.72 | 3215.69 |
-0.52%
|
16.34%
|
35.39 | 1.51L | ● Oversold |
| 3 | SIEMENSTOP | 3700.8 | +0.38% | 3884.27 | 3686.84 | 3489.42 |
53.53%
|
10.71%
|
56.09 | 3.44L | — Normal |
| 4 | BHELTOP | 386.95 | -0.58% | 424.73 | 405.44 | 386.14 |
2.1%
|
9.52%
|
43.02 | 1.74Cr | ▼ Lower Walk |
| 5 | HAVELLSTOP | 1150.5 | -1.36% | 1247.9 | 1194.99 | 1142.08 |
7.96%
|
8.86%
|
35.04 | 7.51L | ▼ Lower 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.