Bollinger Band Scans

Detect overbought/oversold extremes, volatility squeeze setups and band-walk momentum using %B and Bandwidth.

Live data
Signal Key: Overbought — price ≥ Upper Band Oversold — price ≤ Lower Band Squeeze — bandwidth near 20-day low Upper Walk — %B ≥ 80 (momentum) Lower Walk — %B ≤ 20 (weakness)
0
Overbought
1
Oversold
0
Squeeze ⚡
0
Upper Walk ▲
3
Lower Walk ▼
8
Total Scanned
Filter:
# Symbol LTP Chg % Upper Middle Lower %B Position Bandwidth RSI Volume Signal
1 ONGCTOP 264.75 -1.05% 310.6 283.56 256.53
15.2%
19.07%
15.54 74.93L ▼ Lower Walk
2 POWERGRIDTOP 285.65 +0.37% 314.16 296.57 278.98
18.96%
11.86%
30.61 69.55L ▼ Lower Walk
3 HINDPETROTOP 385.05 -0.5% 406.88 384.32 361.76
51.62%
11.74%
60.77 30.04L — Normal
4 NTPCTOP 361.65 -1.3% 408.79 386.16 363.52
-4.13%
11.72%
22.73 1.03Cr ● Oversold
5 GAILTOP 167.4 -0.09% 171.18 163.16 155.15
76.42%
9.82%
57.96 80.47L — Normal
6 RELIANCETOP 1291.0 -0.97% 1408.79 1345.21 1281.64
7.36%
9.45%
35.28 1.78Cr ▼ Lower Walk
7 BPCLTOP 295.0 -0.05% 309.03 295.31 281.59
48.87%
9.29%
59.23 55.29L — Normal
8 IOCTOP 138.26 -0.5% 145.65 139.34 133.02
41.49%
9.06%
56.53 1.06Cr — Normal

Based on 20-period Bollinger Bands (2σ) on daily candles. Squeeze = bandwidth near 20-session low. · Auto-refresh every 60s during market hours

What Are Bollinger Bands?

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.

How to Use Bollinger Bands in Trading

Bollinger Band Formulas

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