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Standard Deviation
Standard Deviation measures how widely price is scattered around its own moving average — the raw dispersion figure that Bollinger Bands are built from. On its own it is the cleanest way to ask whether a market is expanding or contracting, with no direction attached.
- Template period
- 20
- Direction
- None
- Units
- Price
예시용 — 합성 데이터로, 실시간 호가가 아닙니다.
What Standard Deviation tells you
Standard Deviation answers how far, on average, price has been sitting from its own recent average. A rising value means the market is spreading out; a falling one means it is compressing. Like ATR it carries no direction — but unlike ATR it measures dispersion around a mean rather than distance travelled per bar.
- Rising: price is spreading away from its mean
- Falling: the market is compressing toward it
- Zero direction — expansion looks identical up or down
- 1 Average the applied price over N bars
- 2 Measure each bar's distance from that average
- 3 Take the root mean square of those distances
공식 및 계산 세부 정보 표시
Standard Deviation is the textbook dispersion statistic, computed on a rolling window:
- Compute a moving average of the applied price over the period, using the chosen method.
- For each bar in the window, take the difference between its price and that average, and square it.
- Average the squared differences and take the square root:
σ = √( Σ(Pᵢ − MA)² / N ).
Squaring in step 2 is what makes the result directionless — a price 10 points above the average and one 10 points below contribute identically. It also means large excursions dominate: doubling a single bar’s distance quadruples its contribution, so the reading responds sharply to one outsized bar and then decays as that bar leaves the window.
The output shares the instrument’s price units, which is both useful and limiting. Useful, because the number is directly comparable to a distance on the same chart. Limiting, because a threshold written for one symbol means nothing on another — which is why rules are almost always written as one deviation against another rather than against a fixed number.
In MQL5 the call is iStdDev(symbol, period, ma_period, ma_shift, ma_method, applied_price) and it returns a handle to a single buffer. Both ma_method and applied_price are real arguments, so the average the dispersion is measured around is as configurable as a standalone moving average.
신호
StdDev이 제공하는 백테스트 가능한 뚜렷한 신호 — 및 각 신호에 적합한 시장 상황.
Expansion
Builder로 구현 가능Regime Comparison
고급 로직Band Width Proxy
Builder로 구현 가능MT5 구현
MetaTrader 5가 실제로 계산하고 그리는 내용 — 이 페이지의 모든 규칙이 기준으로 삼는 사양입니다.
버퍼
| 인덱스 | 버퍼 | MT5 표시 방식 | 저장 값 |
|---|---|---|---|
| 0 | MAIN_LINE | Line | The standard deviation of the applied price around its own moving average, in price units. Always positive; it has no zero line and no upper bound. |
플랫폼 참고
가장 잘 작동하는 경우 / 주의해서 사용
어떤 지표도 보편적인 우위를 가지지 않습니다. StdDev이 도움이 되는 곳 — 그리고 오해를 일으키는 곳.
가장 잘 작동하는 경우
- As a volatility filter
- Expressing squeeze rules
- Comparing regimes on one instrument
- Alongside a directional signal
주의해서 사용
- As a directional signal
- Comparing raw values across instruments
- Fixed price thresholds
- Very short periods on low timeframes
StdDev 전략 구축
신호를 진입 및 청산 규칙에 연결하고, 컴파일 가능한 MT5 EA를 내보내세요 — 코드 없이.
- Fast StdDev (10)
- Slow StdDev (40)
- Fast below slow — a quiet market
- MFI below 20 in a quiet market → Open Buy · SL 40 / TP 80
- MFI above 80 in a quiet market → Open Sell
StdDev을 다른 지표와 결합
하나의 지표만으로는 충분하지 않습니다. 이 조합들이 StdDev의 취약점을 보완합니다.
StdDev + MFI
- Fast StdDev below slow
- MFI below 20
- Buy
StdDev + Bollinger Bands
- StdDev at a local low
- Price at a band
- Wait for expansion
No single-flow template pairs Standard Deviation with Bollinger Bands. Start from Bollinger Bounce and add StdDev nodes with a Compare between a fast and a slow period.
Builder 열기 →StdDev + Moving Average
- Fast StdDev above slow
- Fast MA crosses slow
- Buy
No single-flow template pairs Standard Deviation with a moving average. Start from MA Crossover and add StdDev nodes with a Compare.
Builder 열기 →매개변수
자신의 통화쌍과 시간 프레임에서 검증할 초기값 — 보장된 설정이 아닙니다.
| 매개변수 | 기본값 | 권장 테스트 범위 | 기능 |
|---|---|---|---|
| Period | 20 | 10–50 | Window for both the moving average and the dispersion measured around it. The template uses 10 and 40 as a fast/slow pair rather than a single value. |
| Method | SMA | SMA / EMA / SMMA / LWMA | How the underlying average is weighted. Changing it changes what the deviation is measured around, so it changes the output even at the same period. |
| Applied price | Close | Close / Open / High / Low / Median / Typical / Weighted | Price series the dispersion is computed on. iStdDev accepts any ENUM_APPLIED_PRICE value. |
| Shift | 0 | 0–3 | Which bar back the value is read from. Shift 1 compares against a fully closed bar. |
초기 프리셋
Reactive 10 Responds within the session
Standard 20 Matches the Bollinger default window
Regime 40 Describes the week, not the bar
시장 예시
StdDev이 작동하는 곳, 실패하는 곳, 그리고 필터가 결과를 어떻게 바꾸는지.
Contraction permits the fade
The short-window deviation falls under the long one, the market is genuinely quiet, and a mean-reversion entry works as intended.
Fading into an expansion
The same oscillator extreme appears while dispersion is climbing. Price is spreading away from its mean, and the fade is standing in front of it.
Dispersion filter suppresses the trade
The directional signal fires but the fast deviation sits above the slow one, so the entry is skipped and the move continues without you.
FAQ
- Standard Deviation or ATR?
- They are different measurements that often agree. ATR averages the distance price travelled per bar and includes gaps; Standard Deviation measures how scattered prices are around their own average and ignores gaps entirely. Use ATR when you care about how much room a trade needs, and Standard Deviation when you care about whether the market is spreading out or compressing.
- Is this the same σ that Bollinger Bands use?
- Yes. Bollinger's outer bands are the middle band plus and minus a multiple of exactly this quantity, computed over the same window on the same applied price. That is why Standard Deviation is the practical way to write a squeeze rule — iBands publishes the three lines but not the width between them.
- Why is there no zero line?
- Because dispersion cannot be negative — the calculation squares each distance before averaging. The indicator is always at or above zero and has no upper bound, so rules are written as comparisons between two deviations or against the indicator's own recent range, never against a fixed centre.
- What period should I use?
- 20 matches the Bollinger default and is a sensible single-value starting point. In practice a fast/slow pair is more useful than any single number, because it removes the need for an instrument-specific threshold — the template uses 10 against 40 for exactly that reason.
- Can I build a Standard Deviation EA without coding?
- Yes, as a filter. The MFI + Standard Deviation template uses two StdDev nodes with different periods and a Compare between them to require a quiet market, with period, method and applied price exposed as EA inputs. Classifying volatility against its own long-run distribution is the exception and needs custom MQL5.
- 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.