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๐Ÿ“ˆ cTrader์šฉ Divergency v1.1 ์ง€ํ‘œ: ์ข…ํ•ฉ ๊ฐ€์ด๋“œ ๐Ÿš€

์ด Divergency v1.1 ์ง€ํ‘œ๋Š” ๊ฐ€๊ฒฉ ์›€์ง์ž„๊ณผ ๋‹ค์–‘ํ•œ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๊ฐ„์˜ ๋‹ค์ด๋ฒ„์ „์Šค ๋ฐ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์‹๋ณ„ํ•˜๊ธฐ ์œ„ํ•ด cTrader ํ”Œ๋žซํผ์šฉ์œผ๋กœ ์„ค๊ณ„๋œ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ์ด ๊ฐ€์ด๋“œ๋Š” ์ฝ”๋“œ, ๊ธฐ๋Šฅ ๋ฐ ํšจ๊ณผ์ ์ธ ์‚ฌ์šฉ๋ฒ•์— ๋Œ€ํ•œ ๋‹จ๊ณ„๋ณ„ ์„ค๋ช…์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ดˆ๋ณด์ž๋“  ๊ฒฝํ—˜ ๋งŽ์€ ํŠธ๋ ˆ์ด๋”๋“ , ์ด ์ง€ํ‘œ๋Š” ์‚ฌ์šฉ์ž ์ •์˜ ๊ฐ€๋Šฅํ•œ ์„ค์ •๊ณผ ์‹œ๊ฐ์  ์‹ ํ˜ธ๋กœ ๊ธฐ์ˆ ์  ๋ถ„์„์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ์ž‘ํ•ด ๋ด…์‹œ๋‹ค! ๐ŸŒŸ


๐ŸŽฏ Divergency11 ์ง€ํ‘œ ๊ฐœ์š”

์ด Divergency v1.1 ์ง€ํ‘œ๋Š” ๊ฐ€๊ฒฉ ์›€์ง์ž„๊ณผ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๋™์ž‘์„ ๋ถ„์„ํ•˜์—ฌ ๋‹ค์Œ์„ ๊ฐ์ง€ํ•ฉ๋‹ˆ๋‹ค:

  • ์ผ๋ฐ˜ ๋‹ค์ด๋ฒ„์ „์Šค: ๊ฐ€๊ฒฉ๊ณผ ์ง€ํ‘œ๊ฐ€ ๋ฐ˜๋Œ€ ๋ฐฉํ–ฅ์œผ๋กœ ์›€์ง์ผ ๋•Œ ์ž ์žฌ์  ๋ฐ˜์ „์„ ์‹ ํ˜ธํ•ฉ๋‹ˆ๋‹ค.
  • ์ˆจ๊ฒจ์ง„ ๋‹ค์ด๋ฒ„์ „์Šค: ๊ฐ€๊ฒฉ๊ณผ ์ง€ํ‘œ๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ์ •๋ ฌ๋  ๋•Œ ์ถ”์„ธ ์ง€์†์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  • ์ƒ๊ด€๊ด€๊ณ„: ๊ฐ€๊ฒฉ๊ณผ ์ง€ํ‘œ๊ฐ€ ๋™๊ธฐํ™”๋˜์–ด ์›€์ง์ผ ๋•Œ ์ถ”์„ธ ๊ฐ•๋„๋ฅผ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค.

์ด ์ง€ํ‘œ๋Š” 12๊ฐ€์ง€ ๋‹ค์–‘ํ•œ ์˜ค์‹ค๋ ˆ์ดํ„ฐ(์˜ˆ: RSI, MACD, Stochastic)๋ฅผ ์ง€์›ํ•˜๋ฉฐ, ๋‹ค์ด๋ฒ„์ „์Šค ๊ฐ์ง€ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜ํ•  ์ˆ˜ ์žˆ์–ด ๋‹ค์–‘ํ•œ ๊ฑฐ๋ž˜ ์ „๋žต์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค. ์ง€ํ‘œ๋Š” ์ฐจํŠธ ๋ฐ ์ง€ํ‘œ ์˜์—ญ์— ์‹ ํ˜ธ๋ฅผ ์ง์ ‘ ํ‘œ์‹œํ•˜๋ฉฐ, ์ปฌ๋Ÿฌ ๋ผ์ธ, ์•„์ด์ฝ˜ ๋ฐ ํ…์ŠคํŠธ๋ฅผ ์‚ฌ์šฉํ•ด ๋ช…ํ™•ํ•œ ์‹œ๊ฐํ™”๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๐Ÿ“Š


๐Ÿ” ์ฝ”๋“œ ๋ถ„์„

1. ์ง€ํ‘œ ์„ค์ • ๐Ÿ› ๏ธ

  • ๋„ค์ž„์ŠคํŽ˜์ด์Šค ๋ฐ ํด๋ž˜์Šค: cAlgo ๋„ค์ž„์ŠคํŽ˜์ด์Šค์— Divergency v1.1๋กœ ์ •์˜๋˜๋ฉฐ Indicator๋ฅผ ์ƒ์†ํ•ฉ๋‹ˆ๋‹ค.
  • ์†์„ฑ:
    • IsOverlay = false: ๋ณ„๋„์˜ ์ง€ํ‘œ ์ฐฝ์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.
    • TimeZone = TimeZones.UTC: ์ผ๊ด€์„ฑ์„ ์œ„ํ•ด UTC๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
    • AccessRights = AccessRights.None: ํŠน๋ณ„ ๊ถŒํ•œ์ด ํ•„์š” ์—†์Šต๋‹ˆ๋‹ค.

2. ๋งค๊ฐœ๋ณ€์ˆ˜ โš™๏ธ

์ด ์ง€ํ‘œ๋Š” ๋ช…ํ™•์„ฑ์„ ์œ„ํ•ด ๊ทธ๋ฃนํ™”๋œ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ํ†ตํ•ด ๊ด‘๋ฒ”์œ„ํ•œ ์‚ฌ์šฉ์ž ์ •์˜๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค:

  • ์˜ค์‹ค๋ ˆ์ดํ„ฐ ์„ ํƒ:
    • IndicatorSelection: 12๊ฐ€์ง€ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ์ค‘ ์„ ํƒ (์˜ˆ: RSI, MACD, Stochastic). (์ค‘๊ฐ„๊ฐ’ 50์œผ๋กœ ์ •๊ทœํ™”๋˜๋ฉฐ ์ตœ์ ํ™” ๊ณผ์ •์—์„œ ๋” ๋†’์€ ๊ฒฐ๊ณผ)
    • Value1, Value2, Value3: ๊ธฐ๊ฐ„, ํ‰ํ™œํ™”, ์‹ ํ˜ธ์„  ์„ค์ • ์กฐ์ •.
    • MaType: ์ด๋™ํ‰๊ท  ์œ ํ˜• ์„ ํƒ (์˜ˆ: ๋‹จ์ˆœ, ์ง€์ˆ˜).
  • ๋‹ค์ด๋ฒ„์ „์Šค ์„ค์ •:
    • Strat: ๊ฐ์ง€ ๋ชจ๋“œ ์„ ํƒ (๋‹ค์ด๋ฒ„์ „์Šค, ์ˆจ๊ฒจ์ง„ ๋‹ค์ด๋ฒ„์ „์Šค, ์ƒ๊ด€๊ด€๊ณ„ ๋˜๋Š” ์กฐํ•ฉ).
    • PeriodFractal: ํ”ผํฌ/์ €์  ์‹๋ณ„์„ ์œ„ํ•œ ํ”„๋ž™ํƒˆ ๊ธฐ๊ฐ„ ์„ค์ • (ํ™€์ˆ˜์—ฌ์•ผ ํ•จ).
    • LookBack: ๋ถ„์„ํ•  ๊ณผ๊ฑฐ ๋‹ค์ด๋ฒ„์ „์Šค ์ˆ˜.
    • MinCountDivergenceShow: ์‹ ํ˜ธ ํ‘œ์‹œ๋ฅผ ์œ„ํ•œ ์ตœ์†Œ ๋‹ค์ด๋ฒ„์ „์Šค ์ˆ˜.
  • ์˜์—ญ ๋ถ„์„:
    • MinBarsValidation, MaxBarsValidation: ๋‹ค์ด๋ฒ„์ „์Šค ๊ฐ์ง€๋ฅผ ์œ„ํ•œ ์œ ํšจ ๋ฐ” ๋ฒ”์œ„ ์ •์˜.
    • ExtraLevelMin, ExtraLevelMax: ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๊ณผ๋งค์ˆ˜/๊ณผ๋งค๋„ ์ž„๊ณ„๊ฐ’ ์„ค์ •.
  • ๋ ˆ๋ฒจ:
    • ExtraLevelLine: 50 ๋ ˆ๋ฒจ ์ฃผ๋ณ€์˜ ๊ณผ๋งค๋„/๊ณผ๋งค์ˆ˜ ๋ผ์ธ ์กฐ์ •.

3. ์ถœ๋ ฅ ๐Ÿ“ˆ

  • Result: ์ฃผ์š” ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๊ฐ’ (๋…น์ƒ‰ ์„ ).
  • Signal: ํ‰ํ™œํ™”๋œ ์‹ ํ˜ธ์„  (๋นจ๊ฐ„ ์„ ).
  • ๋‹ค์ด๋ฒ„์ „์Šค ์‹ ํ˜ธ (ํฌ์ธํŠธ๋กœ ํ‘œ์‹œ):
    • ResDivergenceUp (๋ผ์ž„), ResDivergenceDown (๋นจ๊ฐ•): ์ผ๋ฐ˜ ๋‹ค์ด๋ฒ„์ „์Šค.
    • ResDivergenceUpHidden (์ดˆ๋ก), ResDivergenceDownHidden (์ฃผํ™ฉ): ์ˆจ๊ฒจ์ง„ ๋‹ค์ด๋ฒ„์ „์Šค.
    • ResCorrelationUp (์ฒญ๋ก), ResCorrelationDown (๋งˆ์  ํƒ€): ์ƒ๊ด€๊ด€๊ณ„.

4. ์ฃผ์š” ํ•จ์ˆ˜ ๐Ÿง 

  • Initialize(): ์ง€ํ‘œ๋ฅผ ์„ค์ •ํ•˜๊ณ , ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ๊ฒ€์ฆํ•˜๋ฉฐ, ์ •์  ๋ผ์ธ(๊ณผ๋งค๋„, ๊ณผ๋งค์ˆ˜, 0)์„ ๊ทธ๋ฆฝ๋‹ˆ๋‹ค.
  • Calculate(): ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๊ฐ’์„ ๊ณ„์‚ฐํ•˜๊ณ  50์„ ์ค‘์‹ฌ์œผ๋กœ ์ •๊ทœํ™”ํ•˜๋ฉฐ, ๋‹ค์ด๋ฒ„์ „์Šค ๋ถ„์„์„ ์œ„ํ•œ ํ”„๋ž™ํƒˆ์„ ๊ฐ์ง€ํ•ฉ๋‹ˆ๋‹ค.
  • GetFractal(): ์˜ค์‹ค๋ ˆ์ดํ„ฐ์—์„œ ํ”ผํฌ(fractalUp)์™€ ์ €์ (fractalDown)์„ ์‹๋ณ„ํ•ฉ๋‹ˆ๋‹ค.
  • GetDivergence(): ํ”„๋ž™ํƒˆ ํฌ์ธํŠธ๋ฅผ ๋ถ„์„ํ•˜์—ฌ ๋‹ค์ด๋ฒ„์ „์Šค ๋˜๋Š” ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ์ง€ํ•ฉ๋‹ˆ๋‹ค.
  • CreateLine(): ๊ฐ์ง€๋œ ์‹ ํ˜ธ์— ๋Œ€ํ•œ ์ถ”์„ธ์„ ๊ณผ ์•„์ด์ฝ˜์„ ๊ทธ๋ฆฝ๋‹ˆ๋‹ค.
  • DawDivergence(): ์ฐจํŠธ์™€ ์ง€ํ‘œ ์˜์—ญ์— ๋ผ์ธ๊ณผ ํ™”์‚ดํ‘œ๋กœ ๋‹ค์ด๋ฒ„์ „์Šค๋ฅผ ์‹œ๊ฐํ™”ํ•ฉ๋‹ˆ๋‹ค.

5. ๋„์›€ ํด๋ž˜์Šค ๐Ÿ“‹

  • SRPrice: ํ”„๋ž™ํƒˆ ๋ฐ์ดํ„ฐ(์ธ๋ฑ์Šค, ๊ฐ€๊ฒฉ, ์ง€ํ‘œ ๊ฐ’)๋ฅผ ์ €์žฅํ•ฉ๋‹ˆ๋‹ค.
  • DivergenceFind: ๋‹ค์ด๋ฒ„์ „์Šค ์„ธ๋ถ€ ์ •๋ณด(์ œ๋ชฉ, ์‹œ๊ฐ„, ๊ฐ€๊ฒฉ, ์ƒ‰์ƒ)๋ฅผ ์ถ”์ ํ•ฉ๋‹ˆ๋‹ค.

6. ์˜ค๋ฅ˜ ์ฒ˜๋ฆฌ ๐Ÿšจ

์ด ์ง€ํ‘œ๋Š” ์ž˜๋ชป๋œ ๋งค๊ฐœ๋ณ€์ˆ˜(์˜ˆ: MinBarsValidation > MaxBarsValidation, ์ง์ˆ˜์ธ PeriodFractal)๋ฅผ ๊ฒ€์‚ฌํ•˜๊ณ , DrawStaticText๋ฅผ ์‚ฌ์šฉํ•ด ์ง€ํ‘œ ์˜์—ญ์— ๊ฒฝ๊ณ ๋ฅผ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค.


๐Ÿ› ๏ธ Divergency11 ์ง€ํ‘œ ์‚ฌ์šฉ๋ฒ•

1๋‹จ๊ณ„: ์„ค์น˜ ๐Ÿ“ฅ

  1. ์ฝ”๋“œ ๋‹ค์šด๋กœ๋“œ: ์ œ๊ณต๋œ C# ์ฝ”๋“œ๋ฅผ ๋ณต์‚ฌํ•ฉ๋‹ˆ๋‹ค.
  2. cTrader์— ์ถ”๊ฐ€:
    • cTrader๋ฅผ ์—ด๊ณ  cAlgo > Indicators๋กœ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค.
    • New๋ฅผ ํด๋ฆญํ•˜๊ณ  ์ฝ”๋“œ๋ฅผ ํŽธ์ง‘๊ธฐ์— ๋ถ™์—ฌ๋„ฃ์Šต๋‹ˆ๋‹ค.
    • ์ง€ํ‘œ๋ฅผ ๋นŒ๋“œํ•ฉ๋‹ˆ๋‹ค (์ปดํŒŒ์ผ ์˜ค๋ฅ˜๊ฐ€ ์—†๋Š”์ง€ ํ™•์ธ).
  3. ์ฐจํŠธ์— ์ ์šฉ:
    • cTrader์—์„œ ์ฐจํŠธ๋ฅผ ์—ฝ๋‹ˆ๋‹ค.
    • ์ง€ํ‘œ ๋ชฉ๋ก์—์„œ Divergency11 ์ง€ํ‘œ๋ฅผ ์ถ”๊ฐ€ํ•ฉ๋‹ˆ๋‹ค.

2๋‹จ๊ณ„: ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ตฌ์„ฑ โš™๏ธ

๊ฑฐ๋ž˜ ์Šคํƒ€์ผ์— ๋งž๊ฒŒ ์„ค์ •์„ ์‚ฌ์šฉ์ž ์ •์˜ํ•˜์„ธ์š”:

  • ์˜ค์‹ค๋ ˆ์ดํ„ฐ ์„ ํƒ:
    • ์˜ˆ: Relative_Strenght_Index(RSI)์™€ ๊ฐ™์€ ์˜ค์‹ค๋ ˆ์ดํ„ฐ๋ฅผ IndicatorSelection์„ ํ†ตํ•ด ์„ ํƒํ•ฉ๋‹ˆ๋‹ค.
    • ํ•„์š”์— ๋”ฐ๋ผ Value1(๊ธฐ๊ฐ„), Value2(ํ‰ํ™œํ™”), Value3(์‹ ํ˜ธ ๊ธฐ๊ฐ„)๋ฅผ ์กฐ์ •ํ•ฉ๋‹ˆ๋‹ค.
  • ๋‹ค์ด๋ฒ„์ „์Šค ์œ ํ˜• ์„ค์ •:
    • Strat์„ ์‚ฌ์šฉํ•˜์—ฌ Divergence, Hiden_Divergence, Correlation ๋˜๋Š” All_Divergence์— ์ง‘์ค‘ํ•ฉ๋‹ˆ๋‹ค.
  • ํ”„๋ž™ํƒˆ ๋ฐ ๋ฃฉ๋ฐฑ:
    • ๋Œ€์นญ์„ ์œ„ํ•ด ํ™€์ˆ˜(์˜ˆ: 5)๋กœ PeriodFractal์„ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค.
    • ๋ถ„์„ํ•  ๊ณผ๊ฑฐ ๋‹ค์ด๋ฒ„์ „์Šค ์ˆ˜๋ฅผ ์ œ์–ดํ•˜๊ธฐ ์œ„ํ•ด LookBack์„ ์กฐ์ •ํ•ฉ๋‹ˆ๋‹ค.
  • ์˜์—ญ ๋ฐ ๋ ˆ๋ฒจ:
    • ๊ณผ๋งค์ˆ˜/๊ณผ๋งค๋„ ์˜์—ญ์„ ์œ„ํ•ด ExtraLevelMin ๋ฐ ExtraLevelMax๋ฅผ ๊ตฌ์„ฑํ•ฉ๋‹ˆ๋‹ค.
    • ์‹œ๊ฐ์  ์ž„๊ณ„๊ฐ’ ์กฐ์ •์„ ์œ„ํ•ด ExtraLevelLine์„ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค.

3๋‹จ๊ณ„: ์‹ ํ˜ธ ํ•ด์„ ๐Ÿ“Š

  • ์ผ๋ฐ˜ ๋‹ค์ด๋ฒ„์ „์Šค:
    • ์ƒ์Šน (๋ผ์ž„): ์•ฝ์„ธ ์‹ ํ˜ธ (๊ฐ€๊ฒฉ์€ ๊ณ ์ ์„ ๋†’์ด๊ณ , ์˜ค์‹ค๋ ˆ์ดํ„ฐ๋Š” ๊ณ ์ ์„ ๋‚ฎ์ถค).
    • ํ•˜๋ฝ (๋นจ๊ฐ•): ๊ฐ•์„ธ ์‹ ํ˜ธ (๊ฐ€๊ฒฉ์€ ์ €์ ์„ ๋‚ฎ์ถ”๊ณ , ์˜ค์‹ค๋ ˆ์ดํ„ฐ๋Š” ์ €์ ์„ ๋†’์ž„).
  • ์ˆจ๊ฒจ์ง„ ๋‹ค์ด๋ฒ„์ „์Šค:
    • ์ƒ์Šน (์ดˆ๋ก): ๊ฐ•์„ธ ์ง€์† (๊ฐ€๊ฒฉ์€ ๊ณ ์ ์„ ๋‚ฎ์ถ”๊ณ , ์˜ค์‹ค๋ ˆ์ดํ„ฐ๋Š” ๊ณ ์ ์„ ๋†’์ž„).
    • ํ•˜๋ฝ (์ฃผํ™ฉ): ์•ฝ์„ธ ์ง€์† (๊ฐ€๊ฒฉ์€ ์ €์ ์„ ๋†’์ด๊ณ , ์˜ค์‹ค๋ ˆ์ดํ„ฐ๋Š” ์ €์ ์„ ๋‚ฎ์ถค).
  • ์ƒ๊ด€๊ด€๊ณ„:
    • ์ƒ์Šน (์ฒญ๋ก): ๊ฐ•ํ•œ ๊ฐ•์„ธ ์ถ”์„ธ (๊ฐ€๊ฒฉ๊ณผ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๋ชจ๋‘ ์ƒ์Šน).
    • ํ•˜๋ฝ (๋งˆ์  ํƒ€): ๊ฐ•ํ•œ ์•ฝ์„ธ ์ถ”์„ธ (๊ฐ€๊ฒฉ๊ณผ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๋ชจ๋‘ ํ•˜๋ฝ).
  • ์‹œ๊ฐ์  ์‹ ํ˜ธ:
    • ์ถ”์„ธ์„ ์€ ์ฐจํŠธ์™€ ์ง€ํ‘œ์—์„œ ๋‹ค์ด๋ฒ„์ „์Šค ํฌ์ธํŠธ๋ฅผ ์—ฐ๊ฒฐํ•ฉ๋‹ˆ๋‹ค.
    • ํ™”์‚ดํ‘œ๋Š” ์‹ ํ˜ธ ๋ฐฉํ–ฅ(์ƒ์Šน/ํ•˜๋ฝ)์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
    • ํ…์ŠคํŠธ๋Š” ๊ฐ์ง€๋œ ๋‹ค์ด๋ฒ„์ „์Šค ์ˆ˜๋ฅผ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค (๋งŒ์•ฝ LookBack > 1์ผ ๊ฒฝ์šฐ).

4๋‹จ๊ณ„: ๊ฑฐ๋ž˜ ์ „๋žต ๐Ÿ’ก

  • ๋ฐ˜์ „ ๊ฑฐ๋ž˜:
    • ์ผ๋ฐ˜ ๋‹ค์ด๋ฒ„์ „์Šค (๋ผ์ž„/๋นจ๊ฐ•)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ž ์žฌ์  ๋ฐ˜์ „์„ ํฌ์ฐฉํ•ฉ๋‹ˆ๋‹ค.
    • ๋‹ค๋ฅธ ์ง€ํ‘œ(์˜ˆ: ์ง€์ง€/์ €ํ•ญ, ์บ”๋“ค์Šคํ‹ฑ ํŒจํ„ด)๋กœ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค.
  • ์ถ”์„ธ ์ง€์†:
    • ์ˆจ๊ฒจ์ง„ ๋‹ค์ด๋ฒ„์ „์Šค (์ดˆ๋ก/์ฃผํ™ฉ)๋Š” ์ถ”์„ธ ์ง€์†์„ ์‹ ํ˜ธํ•ฉ๋‹ˆ๋‹ค.
    • ํ’€๋ฐฑ ํ›„ ์ถ”์„ธ ๋ฐฉํ–ฅ์œผ๋กœ ๊ฑฐ๋ž˜์— ์ง„์ž…ํ•ฉ๋‹ˆ๋‹ค.
  • ์ถ”์„ธ ๊ฐ•๋„:
    • ์ƒ๊ด€๊ด€๊ณ„ (์ฒญ๋ก/๋งˆ์  ํƒ€)๋Š” ๊ฐ•ํ•œ ์ถ”์„ธ๋ฅผ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค.
    • ๋ฐ˜์ถ”์„ธ ๊ฑฐ๋ž˜๋ฅผ ํ”ผํ•˜๊ธฐ ์œ„ํ•œ ํ•„ํ„ฐ๋กœ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.
  • ํƒ€์ž„ํ”„๋ ˆ์ž„:
    • ๋ชจ๋“  ํƒ€์ž„ํ”„๋ ˆ์ž„์—์„œ ์ž‘๋™ํ•˜์ง€๋งŒ, ๋†’์€ ํƒ€์ž„ํ”„๋ ˆ์ž„(H1, H4)์ด ๋…ธ์ด์ฆˆ๋ฅผ ์ค„์ž…๋‹ˆ๋‹ค.
  • ์œ„ํ—˜ ๊ด€๋ฆฌ:
    • ์ตœ๊ทผ ์Šค์œ™ ์ €์  ์•„๋ž˜(๋กฑ์˜ ๊ฒฝ์šฐ) ๋˜๋Š” ์Šค์œ™ ๊ณ ์  ์œ„(์ˆ์˜ ๊ฒฝ์šฐ)์— ์Šคํ†ฑ๋กœ์Šค๋ฅผ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค.
    • ํฌ์ง€์…˜ ํฌ๊ธฐ๋ฅผ ์กฐ์ ˆํ•˜๊ธฐ ์œ„ํ•ด ATR(์ฝ”๋“œ์— ํฌํ•จ๋จ)์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

5๋‹จ๊ณ„: ์ตœ์ ํ™” ๐Ÿ”ง

  • ๋ฐฑํ…Œ์ŠคํŠธ: cTrader์˜ ๋ฐฑํ…Œ์ŠคํŒ… ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณผ๊ฑฐ ๋ฐ์ดํ„ฐ์—์„œ ์ง€ํ‘œ๋ฅผ ํ…Œ์ŠคํŠธํ•ฉ๋‹ˆ๋‹ค.
  • ๋งค๊ฐœ๋ณ€์ˆ˜ ์กฐ์ •: PeriodFractal, LookBack, MinCountDivergenceShow๋ฅผ ์‹คํ—˜ํ•˜์—ฌ ์ž˜๋ชป๋œ ์‹ ํ˜ธ๋ฅผ ์ค„์ž…๋‹ˆ๋‹ค.
  • ์ง€ํ‘œ ๊ฒฐํ•ฉ: ์ด๋™ํ‰๊ท ๊ณผ ๊ฐ™์€ ์ถ”์„ธ ์ง€ํ‘œ ๋˜๋Š” ๋ณผ๋ฆฐ์ € ๋ฐด๋“œ์™€ ๊ฐ™์€ ๋ณ€๋™์„ฑ ๋„๊ตฌ์™€ ํ•จ๊ป˜ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.


๐ŸŒŸ ์„ฑ๊ณต์„ ์œ„ํ•œ ํŒ

  • ๊ฐ„๋‹จํ•˜๊ฒŒ ์‹œ์ž‘ํ•˜์„ธ์š”: ๊ธฐ๋ณธ ์„ค์ •๊ณผ ์ต์ˆ™ํ•œ ์˜ค์‹ค๋ ˆ์ดํ„ฐ(RSI ๋“ฑ)๋กœ ์‹œ์ž‘ํ•˜์„ธ์š”.
  • ๋ฐ๋ชจ์—์„œ ์—ฐ์Šตํ•˜์„ธ์š”: ๋ฐ๋ชจ ๊ณ„์ขŒ์—์„œ ์ง€ํ‘œ ์‹ ํ˜ธ๋ฅผ ํ…Œ์ŠคํŠธํ•˜์—ฌ ์ดํ•ดํ•˜์„ธ์š”.
  • ์•Œ๋ฆผ ๋ชจ๋‹ˆํ„ฐ๋ง: ํ™”์‚ดํ‘œ์™€ ์ถ”์„ธ์„ ์„ ์ฃผ์‹œํ•˜์—ฌ ์‹ ํ˜ธ์— ์‹ ์†ํžˆ ๋Œ€์‘ํ•˜์„ธ์š”.
  • ๊ณผ๋„ํ•œ ๊ฑฐ๋ž˜ ํ”ผํ•˜๊ธฐ: ๋‹ค์ด๋ฒ„์ „์Šค๋ฅผ ๋‹จ๋…์ด ์•„๋‹Œ ๊ด‘๋ฒ”์œ„ํ•œ ์ „๋žต์˜ ์ผ๋ถ€๋กœ ์‚ฌ์šฉํ•˜์„ธ์š”.
  • ์ตœ์‹  ์ƒํƒœ ์œ ์ง€: cTrader ํฌ๋Ÿผ์—์„œ ์ฝ”๋“œ ์—…๋ฐ์ดํŠธ๋‚˜ ์ปค๋ฎค๋‹ˆํ‹ฐ ํ”ผ๋“œ๋ฐฑ์„ ํ™•์ธํ•˜์„ธ์š”.


โš ๏ธ ์ผ๋ฐ˜์ ์ธ ๋ฌธ์ œ ๋ฐ ํ•ด๊ฒฐ์ฑ…

  • ์‹ ํ˜ธ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์Œ:
    • MinCountDivergenceShow๊ฐ€ LookBack๋ณด๋‹ค ์ž‘๊ฑฐ๋‚˜ ๊ฐ™์€์ง€ ํ™•์ธํ•˜์„ธ์š”.
    • PeriodFractal๊ฐ€ ํ™€์ˆ˜์ธ์ง€ ํ™•์ธํ•˜์„ธ์š”.
  • ์‹ ํ˜ธ๊ฐ€ ๋„ˆ๋ฌด ๋งŽ์Œ:
    • MinCountDivergenceShow๋ฅผ ๋Š˜๋ฆฌ๊ฑฐ๋‚˜ LookBack๋ฅผ ์ค„์ด์„ธ์š”.
    • MinBarsValidation์™€ MaxBarsValidation์„ ์—„๊ฒฉํžˆ ์กฐ์ •ํ•˜์„ธ์š”.
  • ์˜ค๋ฅ˜ ๋ฉ”์‹œ์ง€:
    • ์ง€ํ‘œ ์˜์—ญ์—์„œ ๋งค๊ฐœ๋ณ€์ˆ˜ ๊ฒฝ๊ณ ๋ฅผ ๊ฒ€ํ† ํ•˜์„ธ์š” (์˜ˆ: MinBarsValidation > MaxBarsValidation).
    • ์ž˜๋ชป๋œ ์„ค์ •์„ ์ˆ˜์ •ํ•˜๊ณ  ์ง€ํ‘œ๋ฅผ ๋‹ค์‹œ ์ ์šฉํ•˜์„ธ์š”.


๐ŸŽ‰ ๊ฒฐ๋ก 

์ด Divergency v1.1 ์ง€ํ‘œ๋Š” cTrader ์‚ฌ์šฉ์ž์—๊ฒŒ ๊ฐ€๊ฒฉ๊ณผ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ๊ด€๊ณ„์— ๋Œ€ํ•œ ๊นŠ์€ ํ†ต์ฐฐ์„ ์ œ๊ณตํ•˜๋Š” ๋‹ค์žฌ๋‹ค๋Šฅํ•˜๊ณ  ๊ฒฌ๊ณ ํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž ์ •์˜ ๊ฐ€๋Šฅํ•œ ์„ค์ •๊ณผ ๋ช…ํ™•ํ•œ ์‹œ๊ฐ์  ์ถœ๋ ฅ์œผ๋กœ ํŠธ๋ ˆ์ด๋”๊ฐ€ ๋ฐ˜์ „, ์ง€์†, ์ถ”์„ธ ๊ฐ•๋„๋ฅผ ์ž์‹  ์žˆ๊ฒŒ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์™€์ค๋‹ˆ๋‹ค. ์ง์ ‘ ์‚ฌ์šฉํ•ด ๋ณด๊ณ  ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์กฐ์ •ํ•˜๋ฉฐ ๊ฑฐ๋ž˜ ๊ณ„ํš์— ํ†ตํ•ฉํ•˜์—ฌ ๋ถ„์„ ์ˆ˜์ค€์„ ๋†’์ด์„ธ์š”! ๐Ÿš€

ํ–‰๋ณตํ•œ ๊ฑฐ๋ž˜ ๋˜์‹œ๊ณ , ์ฐจํŠธ๊ฐ€ ํ•ญ์ƒ ํ‘ธ๋ฅด๊ธธ ๋ฐ”๋ž๋‹ˆ๋‹ค! ๐Ÿ“ˆ๐Ÿ’š

์š”์•ฝ

AI ์š”์•ฝ
The Divergency v1.1 indicator for the cTrader platform detects and visualizes divergences and correlations between price action and various oscillators. It supports 12 oscillators including RSI, MACD, and Stochastic, allowing users to customize parameters such as oscillator selection, smoothing, fractal period, and divergence detection modes (regular, hidden, correlation, or combinations). The indicator identifies:
- Regular divergences signaling potential reversals when price and oscillator move oppositely.
- Hidden divergences indicating trend continuation with differing price and oscillator alignments.
- Correlations highlighting synchronized movements suggesting trend strength.
Signals are displayed on the chart and indicator window using colored lines, icons, and text for clarity. Visual cues include trend lines connecting divergence points and arrows indicating signal direction. Key functions handle initialization, calculation of normalized oscillator values, fractal detection, divergence analysis, and drawing of signals.
Users can configure overbought/oversold zones and adjust lookback periods to tailor signal sensitivity. The indicator works on any timeframe, with higher timeframes recommended to reduce noise. It includes error handling for invalid parameters and provides guidance for installation, parameter setup, signal interpretation, and trading strategies such as reversal and trend continuation. Backtesting and parameter optimization are supported within cTrader to refine performance.
์ง€ํ‘œ ํ”„๋กœํ•„

๊ณ ๊ฐ ๋ฆฌ๋ทฐ

5.0
๋ฆฌ๋ทฐ: 1
5
100 %
4
0 %
3
0 %
2
0 %
1
0 %
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
August 18, 2025
Detects regular and hidden divergences, customizable, includes source code for modification. Cons: No built-in alerts or signal statistics, performance may drop on large history with low TFs.

์ƒ๋‹ด

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ(FAQ)

Signal
Indices
RSI
ATR
MACD
Bollinger
ํ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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๊ฐ€๊ฒฉ

๊ฐ€์ž…์ผ 11/01/2025
375
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