趋势 TrendFilterCrossover 在 Builder 中可用

Moving Average

MA

A moving average smooths price into a single line that shows the direction and slope of the underlying trend. It is the baseline every other trend tool is built on, the most common filter in an EA, and the simplest indicator to turn into a no-code strategy.

Template periods
10 / 50
Methods
SMA / EMA / SMMA / LWMA
Scale
Price
OverboughtOversoldCentreline 50Divergence

示意性 — 合成数据,非实时报价。

What a moving average tells you

A moving average replaces the last N prices with their average, so the noise of individual bars falls away and only the direction of the move is left. It says nothing about what price will do next — it says what price has been doing, with a lag you choose by picking the period.

  • Price above a rising MA: the trend is up
  • Price below a falling MA: the trend is down
  • A flat MA means there is no trend to follow, whatever price is doing bar to bar
  1. 1 Take the last N applied prices
  2. 2 Average them with the chosen method
  3. 3 Plot the result on the price scale
显示公式与计算详情

A moving average replaces the last N applied prices with a single averaged value, recomputed on every bar:

  1. Choose the period N and the applied price (Close by default).
  2. Choose the averaging method. Simple (SMA) weights every bar equally: SMA = (P₁ + P₂ + … + Pₙ) / N. Exponential (EMA) weights the newest bar most, with a smoothing factor of 2 / (N + 1). Smoothed (SMMA) and linear-weighted (LWMA) sit between the two.
  3. Plot the result on the price scale. The line always lags price — that lag is the cost of removing noise, and the period is the dial that sets it.

Because the output shares the price scale, a moving average is directly comparable to price, which is why it doubles as a dynamic support/resistance reference and as the simplest possible trend filter. The trade-off never goes away: a shorter period tracks price closely and inherits its noise, a longer one is smooth but tells you about a turn well after it happened.

In MQL5 the call is iMA(symbol, period, ma_period, ma_shift, ma_method, applied_price) and it returns a handle to a single buffer. Both ma_method (ENUM_MA_METHOD) and applied_price (ENUM_APPLIED_PRICE) are real arguments — the SMA-on-Close form is only the most common configuration, not the indicator’s definition.

信号

MA 提供的可回测信号 — 及每个信号适合的市场状态。

Fast / Slow Crossover

Builder 可实现
条件
A shorter MA crosses a longer one
最佳市场状态
Trending markets
典型用法
Enter as the shorter average confirms a change of direction

Price vs MA

Builder 可实现
条件
Price closes above or below a single MA
最佳市场状态
Established trends
典型用法
Use one MA as a directional filter for another entry rule

Pullback to the MA

Builder 可实现
条件
Price returns to a rising MA and holds
最佳市场状态
Trend continuation
典型用法
Join a trend at a better price than the breakout

Slope and Fan

高级逻辑
条件
Several MAs line up in period order and stay apart
最佳市场状态
Strong trends
典型用法
Read trend health rather than time a single entry

MT5 实现

MetaTrader 5 实际计算和绘制的内容——本页每条规则的依据。

缓冲区

索引 缓冲区 MT5 中的绘制方式 存放内容
0 MAIN_LINE Line The averaged price itself, plotted on the price scale. iMA publishes one buffer — a fast/slow pair is two separate handles, not two buffers of one.

最佳适用场景 / 谨慎使用

没有任何指标具有普适优势。以下是 MA 发挥作用的场景 — 以及可能误导的场景。

最佳适用场景

  • Trending markets
  • As a filter for another signal
  • On higher timeframes
  • When the slope is clearly non-flat

谨慎使用

  • Sideways, directionless ranges
  • Crossovers as a standalone entry
  • Very short periods on low timeframes
  • Optimised period pairs without validation

构建 MA 策略

将信号接入进场和出场规则,然后导出可编译的 MT5 EA — 无需编写代码。

  1. Fast MA (SMA 10)
  2. Slow MA (SMA 50)
  3. Fast crosses above slow → Open Buy · SL 50 / TP 100
  4. Fast crosses below slow → Open Sell

将 MA 与其他指标组合

单一指标很少独立有效。这些组合弥补了 MA 的盲点。

MA + TRIX

  1. Price above the EMA(200)
  2. TRIX crosses above zero
  3. Buy
原因
Use the average the other way round — not as the trigger but as the permission slip, letting a heavily smoothed momentum reading pick the moment while a long EMA decides which side is allowed at all
最佳市场状态
Trending
构建此策略 →

MA + RSI

  1. EMA 5 / 20 / 60 aligned up
  2. RSI > 50
  3. Buy
原因
Only take the trend direction when a bounded momentum gauge agrees, so a moving average never drags you into an exhausted move
最佳市场状态
Trending
构建此策略 →

MA + Momentum

  1. Price above the EMA
  2. Momentum crosses above 100
  3. Buy
原因
Let the average say which way the market leans and let an acceleration reading say when to act, so entries land on a move rather than on a lagging line finally turning
最佳市场状态
Trending
构建此策略 →

MA + ADX

  1. ADX > 25
  2. Fast MA crosses slow
  3. Buy
原因
Trade the crossover only when trend strength confirms there is a trend at all, since crossovers in a flat market are pure cost
最佳市场状态
Trending

No single-flow template pairs a moving average with ADX. Start from MA Crossover and add an ADX node with a Compare at 25 into an And gate — the ADX Trend template shows that filter wired up.

打开 Builder →

MA + ATR

  1. Fast MA crosses slow
  2. ATR sets stop distance
  3. Buy
原因
Size the stop from current volatility instead of a fixed pip distance, so the same crossover rule survives calm and violent markets
最佳市场状态
Any

No single-flow template pairs a moving average with ATR. Start from MA Crossover and add an ATR node feeding a risk-based lot or stop node.

打开 Builder →

参数

在您自己的货币对和时间框架上验证的起始值 — 非保证设置。

参数 默认值 建议测试范围 功能说明
Period 10 5–200 How many bars are averaged. Short reacts fast and whipsaws; long is smooth and late. The template pairs 10 with 50.
Method SMA SMA / EMA / SMMA / LWMA How the bars are weighted. SMA treats every bar equally; EMA and LWMA lean on recent bars; SMMA is the smoothest. All four are ENUM_MA_METHOD values iMA accepts.
Applied price Close Close / Open / High / Low / Median / Typical / Weighted Price series that gets averaged. Close is the default; Median and Typical fold the bar's range in, which makes the line slightly steadier on noisy instruments.
Shift 0 0–5 Displaces the plotted line forward in time. Cosmetic for reading a chart, but it changes which bar a rule compares against, so leave it at 0 unless you mean it.

初始预设

Fast pair 5 / 20 More crossovers, more noise
Standard pair 10 / 50 The Builder template's baseline
Slow pair 50 / 200 Few signals, regime-level only

市场示例

MA 有效的场景、失效的场景,以及过滤器如何改变结果。

有效

Crossover into a trend

The fast average crosses up through the slow one just as a range resolves, and the two lines stay apart for the whole move — the case the crossover rule is designed for.

失效

Whipsaw in a flat market

In a range the two averages sit on top of each other and cross repeatedly. Each cross is a trade with no move behind it.

已过滤

Filtered by trend strength

Add a strength or momentum filter and the same cluster of crossings is ignored while price goes nowhere — the filter is what separates a signal from range noise.

FAQ

SMA or EMA — which should an EA use?
Neither is better in general. The EMA reacts sooner because recent bars carry more weight, so it turns earlier and also whipsaws earlier; the SMA is steadier and later. iMA accepts both as ENUM_MA_METHOD values, so make it an input and let the backtest decide per pair and timeframe rather than choosing on principle.
What period should I use?
There is no universal number. 10/50 is the Builder template's baseline and a reasonable starting point; 50/200 describes regime rather than entries. Treat any pair as a value to re-validate on your own data — a period that only wins on one window is a fitted number, not a setting.
Can a moving average be calculated on something other than the close?
Yes. iMA takes an ENUM_APPLIED_PRICE argument, so the average can run on Open, High, Low, Median, Typical or Weighted price as well as Close. Median and Typical include the bar's range, which slightly steadies the line on instruments with long wicks.
Why do crossovers perform so badly on their own?
Because a crossover is a statement about the past — the shorter average has already moved. In a trend that lag is acceptable; in a range it guarantees you buy the top of every swing and sell the bottom. The crossover is a trigger, and it needs a filter that says whether a trend exists.
Can I build a moving-average EA without coding?
Yes. The MA Crossover template wires two MA nodes into a Cross node with period, method and applied price exposed as EA inputs, so you can compile, backtest and optimise it per pair without writing MQL5. Reading a multi-MA fan as one state is the exception — that needs an ordering node such as the Perfect Order template's.
How should I validate settings before going live?
Backtest on quality tick data first, then run the EA on a demo account before risking money. When optimising, hold back data the search never saw and prefer settings that stay profitable across periods over the single in-sample peak — chasing that peak is overfitting the noise. No default or preset here is a performance promise; every value is a starting point to re-validate on your own pair and broker.

Glossary

关键术语