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 | 1761.0 | +2.81% | 2377.48 | 2050.64 | 1723.81 |
5.69%
|
31.88%
|
26.72 | 0 | ▼ Lower Walk |
| 2 | GNFCTOP | 472.8 | +1.17% | 591.05 | 511.34 | 431.62 |
25.83%
|
31.18%
|
33.52 | 0 | — Normal |
| 3 | ATULTOP | 5301.0 | +0.21% | 6359.89 | 5528.93 | 4697.96 |
36.29%
|
30.06%
|
24.56 | 0 | — Normal |
| 4 | AARTIINDTOP | 485.2 | +5.52% | 504.93 | 454.73 | 404.52 |
80.35%
|
22.08%
|
47.79 | 0 | ▲ Upper Walk |
| 5 | NAVINFLUORTOP | 9654.5 | +5.92% | 9235.89 | 8411.75 | 7587.61 |
125.4%
|
19.59%
|
69.41 | 0 | ● Overbought |
| 6 | DEEPAKNTRTOP | 1587.5 | +3.08% | 1645.9 | 1530.71 | 1415.53 |
74.65%
|
15.05%
|
54.95 | 0 | — Normal |
| 7 | ASIANPAINTTOP | 2550.9 | +1.66% | 2546.11 | 2372.93 | 2199.75 |
101.38%
|
14.6%
|
70.57 | 0 | ● Overbought |
| 8 | CHAMBLFERTTOP | 384.65 | -1.21% | 402.31 | 377.16 | 352.01 |
64.89%
|
13.34%
|
54.39 | 0 | — Normal |
| 9 | PIDILITINDTOP | 1569.2 | -1.15% | 1594.38 | 1497.5 | 1400.61 |
87.01%
|
12.94%
|
66.59 | 0 | ▲ Upper Walk |
| 10 | COROMANDELTOP | 1936.0 | +3.02% | 1885.24 | 1772.95 | 1660.67 |
122.6%
|
12.67%
|
58.68 | 0 | ● Overbought |
| 11 | TATACHEM | 610.6 | +0.85% | 639.64 | 609.49 | 579.34 |
51.84%
|
9.89%
|
49.48 | 0 | — Normal |
| 12 | UPL | 553.1 | +2.14% | 550.66 | 525.88 | 501.11 |
104.92%
|
9.42%
|
60.8 | 0 | ● Overbought |
| 13 | BERGEPAINT | 475.05 | +0.65% | 492.41 | 473.44 | 454.48 |
54.23%
|
8.01%
|
47.98 | 0 | — 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.