Scanning for Volume Shockers on Chartink means identifying stocks where the current trading volume has suddenly exploded compared to its recent historical baseline (such as a 20-day or 50-day average). When an immense surge of institutional volume pours into a stock, it leaves a distinct footprint on the charts, often preceding a major breakout or trend reversal.
Part 1: How to Scan for Volume Shockers on Chartink (Free Version)
To build a robust Volume Shocker scanner using Chartink's free syntax tool, follow the logic and steps outlined below. This formula identifies stocks whose current daily volume is at least 3 times higher than their 20-day Volume Moving Average, filtering out low-liquidity penny stocks.
Step-by-Step Configuration:
Go to Chartink.com and click on Create Scan.
Click the "+" (Add Filter) button to write the logic rules line by line.
Configure the following explicit query parameters:
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[1] Pass Line:
Latest Volume > Latest Volume MA ( 20 ) * 3
[2] Liquidity Filter Line:
Latest Volume > 500000
[3] Minimum Price Filter Line:
Latest Close > 50
[4] Optional Bullish Filter Line:
Latest Close > Latest Open
Understanding the Syntax Logic:
Latest Volume > Latest Volume MA ( 20 ) * 3:
This is the core "Shocker" logic. It ensures today’s transactional volume is a massive 300% spike over its 20-period volume average. You can alter 3 to 5 if you want to find ultra-aggressive volume spurts.
Latest Volume > 500000:
This screens out illiquid micro-caps where a minor retail order can artificially trigger a volume spike. It requires at least 5 lakh shares to be traded today.
Latest Close > 50:
Filters out penny stocks below ₹50, which are highly susceptible to operators and pump-and-dump volume cycles.
Latest Close > Latest Open:
Restricts the search to green marubozu or bullish candle patterns, indicating heavy accumulation over distribution.
Part 2: Customizing Premium Scanner Criteria (The Analytical Logic)
While the free scanner evaluates the market on a static, daily (Latest) closing basis, premium customization allows you to slice raw data across intraday intervals and dynamic moving thresholds.
When configuring multi-timeframe or premium volume tracking, structure your logic based on three core analytical pillars:
1. Intraday Volume Front-Running (Early Morning Spikes)
Waiting for the daily close means missing the actual breakout move. To spot volume shockers within the first 15 to 30 minutes of the opening bell, customize your scanner to compare early intraday candles against historical intraday baselines:
The Logic:
Latest 15 minute Volume > 1 day ago 15 minute Volume * 5 OR Latest 15 minute Volume > Latest Volume MA( 20 ) / 6 (since there are roughly six 1-hour chunks in a trading day).
The Trading Benefit:
This pinpoints where high-net-worth individuals (HNIs) and institutions are aggressively accumulating positions right at the 9:15 AM IST market open, allowing you to enter early momentum trades.
2. Filtering Out "Churning" vs. Genuine Accumulation
A massive volume spike on a flat, tiny-bodied candlestick indicates volume churning—buyers and sellers are fighting aggressively, but price discovery is stalled. This is highly risky.
The Logic:
Pair the volume filter with a mathematical price expansion multiplier:
Latest Close > 1 day ago Close * 1.03 (ensuring at least a 3% definitive price breakout) AND Latest High - Latest Low > 20 day Average True Range (ATR).
The Trading Benefit:
This confirms the heavy volume is successfully shifting the price structure upward, validating institutional backing rather than localized churning.
3. Combining Volume with Structural Volatility Contraction (VCP)
The most explosive volume shockers occur immediately following prolonged periods of absolute silence. If a stock already has volatile volume swings, a new spike isn't shocking.
The Logic:
Scan for a volume spike that breaks through a tight Bollinger Band or a historical low-volume baseline:
1 day ago Volume MA ( 10 ) < 2 day ago Volume MA ( 50 ) * 0.5 followed by Latest Volume > Latest Volume MA ( 20 ) * 4.
The Trading Benefit:
This uncovers classic Wyckoff accumulation transitions—moving swiftly from a low-volume "boring" consolidation zone straight into an explosive public markup phase.