RMA Crossover + MACD Filter

A combination strategy that uses a RMA crossover to define trend direction and MACD as a filter on those signals. The idea: only act on crossovers that agree with momentum, to skip some of the false signals a crossover alone produces. Educational only — not predictive, and trading involves risk of loss.

How it works

Trend trigger — RMA crossover. A moving average (MA) takes the average price over a chosen number of bars and plots it as a single line that updates each bar. Two RMAs of different lengths (e.g. 9 and 21) are plotted; the fast one crossing above the slow one is read as upward momentum, and below as downward.

Filter — MACD. MACD (Moving Average Convergence Divergence) is a momentum and trend-following indicator developed by Gerald Appel in the late 1970s. Here it is used to require the MACD line to agree with the cross — above its signal line for longs, below for shorts.

Why combine them. A moving-average crossover defines direction but fires on every cross, including in choppy conditions; adding a MACD filter tries to skip crossovers that trigger into already-stretched momentum. Both components are lagging by construction, so this reduces some false signals at the cost of entering later — it does not remove risk or guarantee anything.

Entry rules

Long: the fast RMA crosses above the slow RMA on a closed bar, AND the MACD filter agrees (MACD above signal).
Short: the fast RMA crosses below the slow RMA on a closed bar, AND the MACD filter agrees.
Act only on confirmed crossovers from closed bars — an intrabar cross can vanish before the bar closes.

Exit rules

Exit-on-opposite-signal: close (or reverse) when the RMAs cross back the other way.
Or use an independent stop / target (e.g. an ATR multiple) defined before entry.

Risk notes

Nothing here is predictive; both the RMAs and MACD lag price.
The MACD filter will also suppress some good signals — filters cut both ways.
Trading involves risk of loss; position sizing and stops matter more than indicator settings.

Pine v6 example

//@version=6
strategy("RMA Crossover + MACD Filter (Educational)", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10, process_orders_on_close=true)

fastLen = input.int(9, "Fast RMA length", minval=1)
slowLen = input.int(21, "Slow RMA length", minval=1)

fast = ta.rma(close, fastLen)
slow = ta.rma(close, slowLen)
[macdLine, signalLine, histLine] = ta.macd(close, 12, 26, 9)

longCond  = ta.crossover(fast, slow)  and macdLine > signalLine
shortCond = ta.crossunder(fast, slow) and macdLine < signalLine

if longCond
    strategy.entry("Long", strategy.long)
if shortCond
    strategy.entry("Short", strategy.short)

plot(fast, "Fast RMA", color.aqua)
plot(slow, "Slow RMA", color.orange)

// Educational only. Not financial advice. Validate for look-ahead bias &
// repainting before trusting any backtest. Past results do not predict future.

Pitfalls

Whipsaw: in ranging markets the crossover fires repeatedly; the MACD filter reduces but does not remove this.
Over-optimising the lengths/thresholds to a backtest rarely carries forward.
Repaint/look-ahead: evaluate on closed bars and avoid future-referencing data (this generated script is validated for both).
Costs: more signals on lower timeframes mean spread/slippage/fees can dominate.

FAQ

Does adding MACD improve a RMA crossover?

It can reduce some false signals by skipping crossovers that fire into stretched momentum, but it also delays or removes some good entries, and it does not make the strategy predictive. Test it out-of-sample and account for costs. This is educational, not advice.

What settings should I use?

9/21 for the RMAs and standard MACD settings are common starting points, but there is no universally correct value — choose lengths that fit your timeframe and validate out-of-sample rather than tuning to past data.

Indicators in this strategy

Moving Averages (SMA & EMA)MACD (Moving Average Convergence Divergence)

Want this as a clean, validated Pine script? run it through the Validator → or convert a trading strategy to Pine Script →

Educational & software only — not financial advice, not a recommendation to trade. Backtests are illustrative; past performance does not predict future results. Trading involves substantial risk of loss.