Spotting market trends is easy in hindsight. But what if you could identify them as they happen?
That’s exactly what Barchart’s Trend Seeker was built to do.
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In a recent webinar, John Rowland, Senior Market Strategist at Barchart, explains how the Trend Seeker indicator uses price action, wave theory, and volatility to pinpoint bullish, bearish, and neutral trends — all displayed directly on your chart with easy-to-read colored dots.
What is Trend Seeker?
Barchart’s Trend Seeker is a computerized trend analysis system that combines:
* Wave theory to identify market cycles
* Momentum to confirm direction
* Volatility filters to detect trend shifts early
It’s designed to do two things exceptionally well:
Each dot on the chart tells you what phase the market is in:
🟢 Green dots below price: Bullish trend (support forming)
🔴 Red dots above price: Bearish trend (resistance forming)
⚪ Two dots (one above, one below): Neutral or “hold” zone — the system is waiting for a new trend confirmation
When a trend ends, Trend Seeker automatically enters a neutral state for at least one day before identifying a new opportunity.
Understanding the Trend Cycle
In the clip, John walks through Apple (AAPL) to show how Trend Seeker’s cycle plays out over time.
“When the market is in an uptrend, Trend Seeker creates green dots below the price,” John explained. “When it’s in a downtrend, you’ll see red dots above. But in between — when dots appear both above and below — that’s your hold period. The system is waiting to confirm a new trend.”
By reviewing the Trading Strategies panel on Barchart, John showed that over the last five years, Trend Seeker produced:
* 18 long (buy) signals on Apple
* Average holding period: ~50 days per trade
* Higher profitability on longer-duration trades
The takeaway? The longer you let the system ride a trend, the better your results. Even losing trades often move in your favor before reversing, which helps manage risk and refine exits.
Why Trend Seeker Works
Trend Seeker doesn’t rely on lagging indicators like moving averages alone. Instead, it’s a dynamic system that reacts to shifts in price structure and volatility.

