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 | PIINDTOP | 2717.9 | +0.38% | 3222.38 | 2901.38 | 2580.38 |
21.42%
|
22.13%
|
24.7 | 1.01L | — Normal |
| 2 | DEEPAKNTRTOP | 1680.1 | +0.2% | 1905.5 | 1764.82 | 1624.13 |
19.89%
|
15.94%
|
30.44 | 58.7K | ▼ Lower Walk |
| 3 | CHAMBLFERTTOP | 467.7 | +1.08% | 484.96 | 455.88 | 426.8 |
70.32%
|
12.76%
|
60.58 | 5.67L | — Normal |
| 4 | GNFCTOP | 499.75 | -0.63% | 539.16 | 507.71 | 476.27 |
37.34%
|
12.39%
|
43.79 | 1.75L | — Normal |
| 5 | TATACHEMTOP | 719.3 | -0.17% | 790.44 | 750.15 | 709.87 |
11.7%
|
10.74%
|
41.23 | 4.39L | ▼ Lower Walk |
| 6 | COROMANDELTOP | 1796.8 | +1.92% | 1931.65 | 1833.3 | 1734.96 |
31.44%
|
10.73%
|
41.3 | 4.02L | — Normal |
| 7 | BERGEPAINTTOP | 490.25 | -0.81% | 534.73 | 508.18 | 481.64 |
16.22%
|
10.45%
|
32.65 | 1.75L | ▼ Lower Walk |
| 8 | AARTIINDTOP | 458.05 | -0.45% | 495.81 | 473.44 | 451.08 |
15.58%
|
9.45%
|
46.35 | 6.40L | ▼ Lower Walk |
| 9 | ATULTOP | 6678.5 | -0.9% | 7213.01 | 6911.05 | 6609.09 |
11.49%
|
8.74%
|
30.71 | 9.7K | ▼ Lower Walk |
| 10 | NAVINFLUORTOP | 7032.5 | -0.82% | 7360.39 | 7078.07 | 6795.76 |
41.93%
|
7.98%
|
51.19 | 68.8K | — Normal |
| 11 | UPL | 637.45 | -0.27% | 662.27 | 641.31 | 620.35 |
40.79%
|
6.54%
|
53.61 | 25.56L | — Normal |
| 12 | ASIANPAINT | 2686.7 | +0.94% | 2709.61 | 2626.05 | 2542.48 |
86.29%
|
6.36%
|
68.94 | 16.15L | ▲ Upper Walk |
| 13 | PIDILITIND | 1476.6 | +0.37% | 1493.15 | 1466.2 | 1439.25 |
69.29%
|
3.68%
|
54.32 | 4.89L | — 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.