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 | SIEMENSTOP | 3563.8 | -0.45% | 3653.45 | 3431.94 | 3210.43 |
79.8%
|
12.91%
|
79.44 | 10.21L | — Normal |
| 2 | BHELTOP | 309.26 | +5.7% | 301.01 | 288.82 | 276.63 |
133.8%
|
8.44%
|
99.72 | 2.83Cr | ● Overbought |
| 3 | LTTSTOP | 3448.2 | +0.32% | 3493.83 | 3409.38 | 3324.94 |
73.0%
|
4.95%
|
50.43 | 2.98L | — Normal |
| 4 | ABBTOP | 6883.5 | +0.12% | 6955.13 | 6843.3 | 6731.47 |
68.0%
|
3.27%
|
63.95 | 5.49L | ⚡ Squeeze |
| 5 | HAVELLSTOP | 1291.1 | +0.4% | 1294.26 | 1279.68 | 1265.11 |
89.2%
|
2.28%
|
67.67 | 9.92L | ⚡ Squeeze |
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.