"Deviation-Scaled Moving Average" ๋กœ๊ณ 
์ง€ํ‘œ
62 ๋‹ค์šด๋กœ๋“œ
๋ฒ„์ „ 1.0, Nov 2025
Windows, Mac
5.0
๋ฆฌ๋ทฐ: 1
"Deviation-Scaled Moving Average" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Deviation-Scaled Moving Average" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
๊ฐ€์ž…์ผ 20/12/2024
6.94K
๋ฌด๋ฃŒ ์„ค์น˜

์ •๊ทœํ™”๋œ ๊ฐ€๊ฒฉ ํŽธ์ฐจ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฐ˜์‘์„ฑ์„ ๋™์ ์œผ๋กœ ์กฐ์ •ํ•˜๋Š” ๋ชจ๋ฉ˜ํ…€ ์ ์‘ํ˜• ์ด๋™ํ‰๊ท ์ž…๋‹ˆ๋‹ค.


์•ŒํŒŒ๋Š” ๊ณ ์ • ๊ธฐ๊ฐ„์ด ์•„๋‹Œ ํŽธ์ฐจ ๊ฐ•๋„์— ๋”ฐ๋ผ ์กฐ์ •๋˜๋ฉฐ, ์ถ”์„ธ ๋™์•ˆ ๋น ๋ฅด๊ณ  ๋ฐ˜์‘์„ฑ์ด ๋›ฐ์–ด๋‚˜๊ณ , ํšก๋ณด ๊ตฌ๊ฐ„์—์„œ๋Š” ๋ถ€๋“œ๋Ÿฝ๊ณ  ์•ˆ์ •์ ์ด๋ฉฐ ์ง€์—ฐ ์—†๋Š” ๋ŒํŒŒ ๋ฐ˜์‘์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

๋…ธ์ด์ฆˆ ์ œ๊ฑฐ๋ฅผ ์œ„ํ•œ SuperSmoother 2-ํด ํ•„ํ„ฐ, ๋ณ€๋™์„ฑ ๊ตฌ๊ฐ„ ์ „๋ฐ˜์— ๊ฑธ์ณ ์ผ๊ด€๋œ ๋™์ž‘์„ ๋ณด์žฅํ•˜๋Š” RMS ์ •๊ทœํ™”, ์•ˆ์ •์ ์ธ ์ดˆ๊ธฐํ™”๋ฅผ ์œ„ํ•œ EMA ๋Œ€์ฒด๋ฅผ ํฌํ•จํ•œ ์Šค๋งˆํŠธ ์ดˆ๊ธฐ ๋ฐ” ์ฒ˜๋ฆฌ, ์ž๋™ ์•ŒํŒŒ ๊ณ„์‚ฐ(0.001-0.999 ๋ฒ”์œ„), ๋‹จ์ผ ๊ธฐ๊ฐ„ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ตฌ์„ฑ์œผ๋กœ ๋ฐฉํ–ฅ์„ฑ ์‹œ์žฅ์—์„œ ๋ฐ˜์‘์„ฑ์ด ํ•„์š”ํ•˜์ง€๋งŒ ํšก๋ณด ๊ตฌ๊ฐ„์—์„œ ํœ˜ํ•‘ ์—†์ด ์ ์‘ํ˜• ์ถ”์„ธ ์ถ”์ ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.


ํŠน์ง•


๋ชจ๋ฉ˜ํ…€ ์ ์‘ํ˜• ๊ณ„์‚ฐ

  • ์•ŒํŒŒ๋Š” ๊ณ ์ • ๊ธฐ๊ฐ„์ด ์•„๋‹Œ ์ •๊ทœํ™”๋œ ๊ฐ€๊ฒฉ ํŽธ์ฐจ์— ๋”ฐ๋ผ ๋™์ ์œผ๋กœ ์กฐ์ •๋ฉ๋‹ˆ๋‹ค
  • ๊ฐ•ํ•œ ์ถ”์„ธ ๋™์•ˆ ๋น ๋ฅด๊ณ  ๋ฐ˜์‘์„ฑ์ด ๋›ฐ์–ด๋‚ฉ๋‹ˆ๋‹ค
  • ํšก๋ณด ๊ตฌ๊ฐ„์—์„œ๋Š” ๋ถ€๋“œ๋Ÿฝ๊ณ  ์•ˆ์ •์ ์ž…๋‹ˆ๋‹ค
  • ๋ŒํŒŒ ์‹œ ์ง€์—ฐ ์—†์Œ: ๊ฐ€๊ฒฉ์ด ์ง„์ •ํ•œ ๋ฐฉํ–ฅ์„ฑ ํ™•์‹ ์„ ๋ณด์ผ ๋•Œ ์ฆ‰์‹œ ๋ฐ˜์‘ํ•ฉ๋‹ˆ๋‹ค


SuperSmoother ํ•„ํ„ฐ๋ง

  • ๊ณ ๊ธ‰ 2-ํด ํ•„ํ„ฐ๊ฐ€ ๋…ธ์ด์ฆˆ๋ฅผ ์ œ๊ฑฐํ•˜๋ฉด์„œ ์ง„์ •ํ•œ ๋ชจ๋ฉ˜ํ…€ ์‹ ํ˜ธ๋ฅผ ๋ณด์กดํ•ฉ๋‹ˆ๋‹ค
  • ๊ณ ์ฃผํŒŒ ํœ˜ํ•‘ ์—†์ด ๊นจ๋—ํ•œ ์ถ”์„ธ ์‹๋ณ„
  • ๋‹ค์–‘ํ•œ ์‹œ์žฅ ์กฐ๊ฑด์—์„œ ์‹ ํ˜ธ ๋ฌด๊ฒฐ์„ฑ์„ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค


RMS ์ •๊ทœํ™”

  • ํŽธ์ฐจ๋ฅผ ์ œ๊ณฑํ‰๊ท ๊ทผ์œผ๋กœ ์Šค์ผ€์ผ๋ง
  • ๋ณ€๋™์„ฑ ๊ตฌ๊ฐ„ ์ „๋ฐ˜์— ๊ฑธ์ณ ์ผ๊ด€๋œ ๋™์ž‘ ๋ณด์žฅ
  • ๋‹ค์–‘ํ•œ ์‹œ์žฅ ํ™˜๊ฒฝ์— ์ž๋™์œผ๋กœ ์ ์‘


์Šค๋งˆํŠธ ์ดˆ๊ธฐ ๋ฐ” ์ฒ˜๋ฆฌ

  • ์›Œ๋ฐ์—… ๊ธฐ๊ฐ„ ๋™์•ˆ ์•ˆ์ •์ ์ธ ์ดˆ๊ธฐํ™”๋ฅผ ์œ„ํ•ด ๋‹จ์ˆœ EMA๋กœ ๋Œ€์ฒด
  • ๋‚ด์žฅ๋œ NaN/๋ฌดํ•œ๋Œ€ ๋ณดํ˜ธ๋กœ ๊ฒฌ๊ณ ํ•œ ์•ˆ์ •์„ฑ ์ œ๊ณต
  • ์ฒซ ๋ฒˆ์งธ ๋ฐ”๋ถ€ํ„ฐ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ณ„์‚ฐ


๊ฐ„๋‹จํ•œ ๊ตฌ์„ฑ

  • ๋‹จ์ผ ๊ธฐ๊ฐ„ ๋งค๊ฐœ๋ณ€์ˆ˜ (๊ธฐ๋ณธ๊ฐ’ 40)
  • ์ž๋™ ์•ŒํŒŒ ๊ณ„์‚ฐ (0.001๋ถ€ํ„ฐ 0.999 ๋ฒ”์œ„)
  • ์˜ค๋ฒ„๋ ˆ์ด ์ง€ํ‘œโ€”๊ฐ€๊ฒฉ ์ฐจํŠธ์— ์ง์ ‘ ํ‘œ์‹œ
  • ๋ณต์žกํ•œ ์„ค์ • ๋ถˆํ•„์š”


__________________________________________________________________________________________


๋” ๋งŽ์€ ๋ฌด๋ฃŒ ์ง€ํ‘œ


๊ตฌ์กฐ์™€ ๊ฑฐ๋ž˜๋Ÿ‰๋ถ€ํ„ฐ ํšŒ๊ท€, ๋ณ€๋™์„ฑ, ๋งž์ถค ์‹œ๊ฐ„ ํ”„๋ ˆ์ž„์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋‹ค์–‘ํ•œ ์‹œ์žฅ ๋ถ„์„ ๋„๊ตฌ๋ฅผ ํƒ์ƒ‰ํ•˜์„ธ์š”.

์†Œ์Šค ์ฝ”๋“œ๋Š” GitHub ์ €์žฅ์†Œ์—์„œ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋ชจ๋‘ ๋ฌด๋ฃŒ๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ปคํ”ผ ์ง€์›์„ ๋ณด๋‚ด๊ณ  ์‹ถ๋‹ค๋ฉด ์—ฌ๊ธฐ๋กœ ๋ณด๋‚ด์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


์ง€์ง€/์ €ํ•ญ


๊ฑฐ๋ž˜๋Ÿ‰


์ด๋™ํ‰๊ท 


์œ ํ‹ธ๋ฆฌํ‹ฐ/๋งž์ถคํ˜•


ํšŒ๊ท€ ๊ธฐ๋ฐ˜


๋ณ€๋™์„ฑ


์˜ค์‹ค๋ ˆ์ดํ„ฐ


__________________________________________________________________________________________


๋ฉด์ฑ… ์กฐํ•ญ

๊ฑฐ๋ž˜์—๋Š” ์œ„ํ—˜์ด ๋”ฐ๋ฆ…๋‹ˆ๋‹ค. ์ด ์ง€ํ‘œ๋Š” ๊ธฐ์ˆ ์  ๋ถ„์„ ์šฉ๋„๋กœ๋งŒ ์‚ฌ์šฉ๋˜๋ฉฐ ํ•ญ์ƒ ์ ์ ˆํ•œ ์œ„ํ—˜ ๊ด€๋ฆฌ๋ฅผ ์ ์šฉํ•˜๊ณ  ์ฑ…์ž„๊ฐ ์žˆ๊ฒŒ ๊ฑฐ๋ž˜ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.


ํ”ผ๋“œ๋ฐฑ ๋ฐ ๊ฐœ์„  ์‚ฌํ•ญ

์ œ์•ˆ, ๊ธฐ๋Šฅ ์š”์ฒญ ๋˜๋Š” ๊ฐœ์„  ์•„์ด๋””์–ด๊ฐ€ ์žˆ์œผ์‹œ๋ฉด ํ† ๋ก  ํƒญ์— ๋Œ“๊ธ€์„ ๋‚จ๊ฒจ์ฃผ์„ธ์š”. ์—ฌ๋Ÿฌ๋ถ„์˜ ํ”ผ๋“œ๋ฐฑ์€ ๋ชจ๋‘๋ฅผ ์œ„ํ•œ ์ง€ํ‘œ ๊ฐœ์„ ์— ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค.

์ง€ํ‘œ ํ”„๋กœํ•„
5.0
๋ฆฌ๋ทฐ: 1
5
100 %
4
0 %
3
0 %
2
0 %
1
0 %
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
November 24, 2025
Deviation-Scaled MA adapts dynamically to volatility, reacting faster in active markets and smoothing out in quieter ones. A clean, stable, and responsive trend tool that outperforms classic EMA/SMA in shifting conditions. Great for scalping and swing filters alike. Alerts and trend-color modes would make it even stronger.
Forex
Indices
Commodities
Crypto
Stocks
ํŠธ๋ ˆ์ด๋”ฉ ๋ด‡, ์ง€ํ‘œ, ํ”Œ๋Ÿฌ๊ทธ์ธ ๋“ฑ cTrader Store์—์„œ ์ œ๊ณต๋˜๋Š” ์ƒํ’ˆ์€ ์ œ3์ž ๊ฐœ๋ฐœ์ž์— ์˜ํ•ด ์ œ๊ณต๋˜๋ฉฐ, ์ด๋Š” ๋‹จ์ˆœํžˆ ์ •๋ณด ๋ฐ ๊ธฐ์ˆ ์  ์ ‘๊ทผ์„ ๋ชฉ์ ์œผ๋กœ ์ œ๊ณต๋œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. cTrader Store๋Š” ์ค‘๊ฐœ์ธ์ด ์•„๋‹ˆ๋ฉฐ, ํˆฌ์ž ์กฐ์–ธ, ๊ฐœ์ธ๋ณ„ ์ถ”์ฒœ ๋˜๋Š” ํ–ฅํ›„ ์„ฑ๊ณผ์— ๋Œ€ํ•œ ์–ด๋– ํ•œ ๋ณด์žฅ๋„ ์ œ๊ณตํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

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