Indicators
Jurik Moving Average (JMA) Indicator Explained
What makes the Jurik Moving Average exceptionally smooth with low lag, and how to use JMA in automated strategies in Setup.Cash.
Featured image placeholder
/og/setup-cash-og.svg
The Jurik Moving Average (JMA) comes from Jurik Research's work on digital signal filtering for markets. Its claim to fame is an almost paradoxical combination: glass-smooth output with lag low enough for real trading — widely considered one of the best-behaved moving averages ever published.
How It Works
- An adaptive filtering process tracks price through noise instead of averaging the noise in.
- The line stays flat through micro-chop that would wiggle an EMA, then bends decisively when direction truly changes.
- One length input controls the smoothing horizon.
How to Trade It
JMA excels as the reference line of a system: price above a rising JMA is a genuine uptrend worth buying pullbacks in. Its smoothness also makes JMA-slope one of the most reliable single-condition regime filters — flat JMA means stand aside.
Building It in Setup.Cash
Add Jurik Moving Average (JMA) in the strategy builder — the length input controls its sensitivity — and use its value in any entry, exit, or filter condition. You can also combine it with other tools in the Indicators Lab or via the AI indicator generator. See KAMA for the adaptive-speed alternative. For the full category overview, see the advanced trend library guide.
Trend tools reward patience: pick one, pair it with a volatility or regime filter, and backtest before trading it live.
Related Posts
View allIndicators
Arnaud Legoux Moving Average (ALMA) Indicator Explained
How the ALMA uses Gaussian weighting to stay smooth and responsive at once, and how to automate it in Setup.Cash.
2 min read · 237 words
Indicators
Fibonacci Weighted Moving Average (FWMA) Indicator Explained
How the FWMA weights recent price by Fibonacci numbers, and how to automate the Fibonacci weighted average in Setup.Cash.
2 min read · 202 words
Indicators
Holt-Winters Moving Average (HWMA) Indicator Explained
How the Holt-Winters Moving Average applies forecasting-model smoothing with level, trend, and seasonality terms in Setup.Cash.
2 min read · 204 words
Indicators
McGinley Dynamic Indicator Explained
How the McGinley Dynamic self-adjusts to never separate far from price, avoiding the whipsaws of fixed moving averages, in Setup.Cash.
2 min read · 220 words
Start here
Build your trading bot workflow with structure
Use Setup.Cash to create, backtest, and paper trade rule-based strategies without relying on guesswork. Not financial advice. Trading involves risk.