趨勢 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
示意性 — 合成資料，非即時報價。
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 Take the last N applied prices
- 2 Average them with the chosen method
- 3 Plot the result on the price scale
顯示公式與計算詳情
A moving average replaces the last N applied prices with a single averaged value, recomputed on every bar:
- Choose the period N and the applied price (Close by default).
- 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 of2 / (N + 1). Smoothed (SMMA) and linear-weighted (LWMA) sit between the two. - 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.
訊號
MA 提供的可回測訊號 — 及每個訊號適合的市場狀態。
Price vs MA
Builder 可實現Pullback to the MA
Builder 可實現Slope and Fan
進階邏輯MT5 實作
MetaTrader 5 實際計算與繪製的內容——本頁每條規則的依據。
緩衝區
| 索引 | 緩衝區 | MT5 中的繪製方式 | 存放內容 |
|---|---|---|---|
| 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. |
最佳適用場景 / 謹慎使用
沒有任何指標具有普適優勢。以下是 MA 發揮作用的場景 — 以及可能誤導的場景。
最佳適用場景
- Trending markets
- As a filter for another signal
- On higher timeframes
- When the slope is clearly non-flat
謹慎使用
- Sideways, directionless ranges
- Crossovers as a standalone entry
- Very short periods on low timeframes
- Optimised period pairs without validation
構建 MA 策略
將訊號接入進場和出場規則，然後匯出可編譯的 MT5 EA — 無需撰寫程式碼。
- Fast MA (SMA 10)
- Slow MA (SMA 50)
- Fast crosses above slow → Open Buy · SL 50 / TP 100
- Fast crosses below slow → Open Sell
將 MA 與其他指標組合
單一指標很少獨立有效。這些組合彌補了 MA 的盲點。
MA + TRIX
- Price above the EMA(200)
- TRIX crosses above zero
- Buy
MA + RSI
- EMA 5 / 20 / 60 aligned up
- RSI > 50
- Buy
MA + Momentum
- Price above the EMA
- Momentum crosses above 100
- Buy
MA + ADX
- ADX > 25
- Fast MA crosses slow
- Buy
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.
開啟 Builder →MA + ATR
- Fast MA crosses slow
- ATR sets stop distance
- Buy
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.
開啟 Builder →參數
在您自己的貨幣對和時間框架上驗證的起始值 — 非保證設置。
| 參數 | 預設值 | 建議測試範圍 | 功能說明 |
|---|---|---|---|
| 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. |
初始預設
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
市場示例
MA 有效的場景、失效的場景，以及篩選器如何改變結果。
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.
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.
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.