"Multi-Indicator-ScoreBot" ๋กœ๊ณ 
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๋ฒ„์ „ 1.0, Nov 2025
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"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"Multi-Indicator-ScoreBot" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
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๋ฌด๋ฃŒ ์„ค์น˜

์ด cBot์€ ๋‹ค์ค‘ ์ง€ํ‘œ ์ ์ˆ˜ ์—”์ง„์ž…๋‹ˆ๋‹ค.
๊ฐ ๋ฐ” ๋งˆ๊ฐ ์‹œ ADX, EMA, ๋ณผ๋ฆฐ์ €, MACD, ์ด์น˜๋ชจ์ฟ , RSI, ์Šคํ† ์บ์Šคํ‹ฑ ๋ฐ DynamicTrendFlux, InstitutionalFlowRadar, Liquidity Cluster Order, Pressure Scanner, Deep Mood, Hub Pro, VWAP Pro ATR, Volume Delta CVD, ZigZag Pro ๋“ฑ ๋‹ค์–‘ํ•œ ๋งž์ถค ๋„๊ตฌ๋ฅผ ํฌํ•จํ•œ ์—ฌ๋Ÿฌ ์‹ ํ˜ธ๋ฅผ ์ฝ๊ณ , ๊ฐ๊ฐ์„ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ๋ณ€ํ™˜ํ•ฉ๋‹ˆ๋‹ค:

  • +1 = ๊ฐ•์„ธ
  • -1 = ์•ฝ์„ธ
  • 0 = ์ค‘๋ฆฝ

๊ทธ๋Ÿฐ ๋‹ค์Œ ๊ฐœ๋ณ„ ๊ฐ€์ค‘์น˜๋ฅผ ๊ณฑํ•˜๊ณ  ๋ชจ๋“  ๊ฒƒ์„ ํ•ฉ์‚ฐํ•˜์—ฌ ์ „์—ญ ์ ์ˆ˜๋ฅผ ๋งŒ๋“ญ๋‹ˆ๋‹ค.

๊ฑฐ๋ž˜๋Š” ๋‹ค์Œ ์กฐ๊ฑด์„ ์ถฉ์กฑํ•  ๋•Œ๋งŒ ์—ด๋ฆฝ๋‹ˆ๋‹ค:

  • ์ ์ˆ˜๊ฐ€ ๋กฑ/์ˆ ์ž„๊ณ„๊ฐ’(Min Score Long / Short)์„ ํ†ต๊ณผํ•  ๋•Œ
  • ์ตœ์†Œํ•œ์˜ ์ง€ํ‘œ ์ˆ˜๊ฐ€ ์ผ์น˜ํ•  ๋•Œ(Min Indicators Aligned)
  • ํฌ์ง€์…˜ ๋ฐ ์œ„ํ—˜ ํ•œ๋„(์ตœ๋Œ€ ํฌ์ง€์…˜, ๊ฑฐ๋ž˜๋Ÿ‰ ๋“ฑ)๋ฅผ ์ค€์ˆ˜ํ•  ๋•Œ

๊ทธ ํ›„ ๋ด‡์€ ๊ณ ์ • ํ• ๋˜๋Š” ATR ๊ธฐ๋ฐ˜์˜ SL/TP์™€ ์„ ํƒ์  BreakEven ๋ฐ Trailing Stop์œผ๋กœ ์ถœ๊ตฌ๋ฅผ ๊ด€๋ฆฌํ•ฉ๋‹ˆ๋‹ค.
์š”์•ฝํ•˜๋ฉด: ์ด๋Š” ์ถ”์„ธ, ํ‰๊ท ํšŒ๊ท€, ๊ธฐ๊ด€ ํ๋ฆ„ ๋ฐ ๊ฑฐ๋ž˜๋Ÿ‰์„ ํ•˜๋‚˜์˜ ์ „๋žต์œผ๋กœ ๊ฒฐํ•ฉํ•˜๋Š” ์œ ์—ฐํ•œ ํ”„๋ ˆ์ž„์›Œํฌ์ž…๋‹ˆ๋‹ค. โš™๏ธ๐Ÿ“Š


๐Ÿ“Œ 1. ์ผ๋ฐ˜ ๋ฐ ํฌ์ง€์…˜ ํ•œ๋„

์ผ๋ฐ˜

  • ๋ผ๋ฒจ โ€“ ์ด cBot์ด ์—ฐ ๋ชจ๋“  ํฌ์ง€์…˜์— ํƒœ๊ทธ๋ฅผ ๋ถ™์ด๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค(๋‹ค๋ฅธ ๊ฒƒ๋“ค๊ณผ ๊ตฌ๋ถ„ํ•˜๋Š” ๋ฐ ๋„์›€).
  • ๊ฑฐ๋ž˜๋Ÿ‰(๋ž) โ€“ ๋ž ๋‹จ์œ„์˜ ๊ฑฐ๋ž˜ ํฌ๊ธฐ.
  • ๋กฑ ํ—ˆ์šฉ โ€“ ๋งค์ˆ˜ ๊ฑฐ๋ž˜ ํ™œ์„ฑํ™”/๋น„ํ™œ์„ฑํ™”.
  • ์ˆ ํ—ˆ์šฉ โ€“ ๋งค๋„ ๊ฑฐ๋ž˜ ํ™œ์„ฑํ™”/๋น„ํ™œ์„ฑํ™”.

ํฌ์ง€์…˜ ํ•œ๋„

  • ์ตœ๋Œ€ ์ด ํฌ์ง€์…˜ โ€“ ์ด ์‹ฌ๋ณผ/๋ผ๋ฒจ์— ๋Œ€ํ•œ ์ตœ๋Œ€ ์ด ์˜คํ”ˆ ํฌ์ง€์…˜ ์ˆ˜(๋กฑ + ์ˆ).
  • ์ตœ๋Œ€ ๋กฑ ํฌ์ง€์…˜ โ€“ ๋™์‹œ์— ์—ด ์ˆ˜ ์žˆ๋Š” ์ตœ๋Œ€ ๋กฑ ๊ฑฐ๋ž˜ ์ˆ˜.
  • ์ตœ๋Œ€ ์ˆ ํฌ์ง€์…˜ โ€“ ๋™์‹œ์— ์—ด ์ˆ˜ ์žˆ๋Š” ์ตœ๋Œ€ ์ˆ ๊ฑฐ๋ž˜ ์ˆ˜.


๐Ÿงฎ 2. ์ „์—ญ ์ ์ˆ˜ ํ•„ํ„ฐ

  • ์ตœ์†Œ ๋กฑ ์ ์ˆ˜ โ€“ ๋กฑ ์ง„์ž…์„ ํ—ˆ์šฉํ•˜๊ธฐ ์œ„ํ•œ ์ตœ์†Œ ์ ์ˆ˜ (score >= MinScoreLong).
  • ์ตœ์†Œ ์ˆ ์ ์ˆ˜ โ€“ ์ˆ์„ ์œ„ํ•œ ์ตœ์†Œ ์Œ์ˆ˜ ์ ์ˆ˜ (score <= -MinScoreShort).
  • ์ตœ์†Œ ์ผ์น˜ ์ง€ํ‘œ ์ˆ˜ โ€“ ๊ฐ•์„ธ ๋˜๋Š” ์•ฝ์„ธ์— ๋™์˜ํ•ด์•ผ ํ•˜๋Š” ์ตœ์†Œ ์ง€ํ‘œ ์ˆ˜.

์ด ๊ฐ’์„ ๋†’์ด๋ฉด ๋ด‡์ด ๋” ์„ ํƒ์ ์ด ๋ฉ๋‹ˆ๋‹ค โœ… (๊ฑฐ๋ž˜ ์ˆ˜๋Š” ์ ์ง€๋งŒ ๋” ์—„๊ฒฉํ•˜๊ฒŒ ํ•„ํ„ฐ๋ง๋จ).


๐Ÿ“ˆ 3. ๊ณ ์ „์  ์ง€ํ‘œ

ADX / DMI

  • ADX ์‚ฌ์šฉ โ€“ ADX/DMI ๊ธฐ์—ฌ ํ† ๊ธ€.
  • ADX ๊ธฐ๊ฐ„ โ€“ ADX ๊ณ„์‚ฐ ๊ธฐ๊ฐ„.
  • ADX ์ž„๊ณ„๊ฐ’ โ€“ ์ถ”์„ธ๋ฅผ โ€œ๊ฐ•ํ•จโ€์œผ๋กœ ๊ฐ„์ฃผํ•˜๋Š” ์ตœ์†Œ ADX; ์ด๋ณด๋‹ค ๋‚ฎ์œผ๋ฉด ADX๋Š” ์ค‘๋ฆฝ.
  • ADX ๊ฐ€์ค‘์น˜ โ€“ ์ „์—ญ ์ ์ˆ˜์— ๋Œ€ํ•œ ADX ์ถ”์„ธ ํŽธํ–ฅ ์˜ํ–ฅ.

EMA

  • EMA ์‚ฌ์šฉ โ€“ EMA ํ•„ํ„ฐ ํ™œ์„ฑํ™”.
  • EMA ๊ธฐ๊ฐ„ โ€“ EMA ๊ธธ์ด(์˜ˆ: ์ƒ์œ„ TF ์ถ”์„ธ๋ฅผ ์œ„ํ•œ 200).
  • EMA ๊ฐ€์ค‘์น˜ โ€“ EMA ์‹ ํ˜ธ์˜ ๊ฐ€์ค‘์น˜(๊ฐ€๊ฒฉ ๋Œ€ EMA ๋ฐ EMA ๊ธฐ์šธ๊ธฐ).

๋ณผ๋ฆฐ์ € ๋ฐด๋“œ

  • ๋ณผ๋ฆฐ์ € ์‚ฌ์šฉ โ€“ ๋ณผ๋ฆฐ์ € ๋ฐด๋“œ ํ™œ์„ฑํ™”.
  • BB ๊ธฐ๊ฐ„ / BB ํ‘œ์ค€ํŽธ์ฐจ โ€“ ๊ธฐ๊ฐ„ ๋ฐ ํ‘œ์ค€ํŽธ์ฐจ ์ˆ˜.
  • ๋ณผ๋ฆฐ์ € ๊ฐ€์ค‘์น˜ โ€“ ํ‰๊ท ํšŒ๊ท€ ๋ฐด๋“œ ์‹ ํ˜ธ์˜ ๊ฐ€์ค‘์น˜(ํ•˜๋‹จ ๋ฐด๋“œ ๊ทผ์ฒ˜ โ†’ ๊ฐ•์„ธ, ์ƒ๋‹จ ๋ฐด๋“œ ๊ทผ์ฒ˜ โ†’ ์•ฝ์„ธ).

MACD ํ‘œ์ค€

  • MACD ํ‘œ์ค€ ์‚ฌ์šฉ โ€“ ํ‘œ์ค€ MACD ๊ต์ฐจ ํ™œ์„ฑํ™”.
  • MACD ๋กฑ ์‚ฌ์ดํด / ์ˆ ์‚ฌ์ดํด / ์‹ ํ˜ธ โ€“ ๊ณ ์ „์  MACD ๋งค๊ฐœ๋ณ€์ˆ˜.
  • MACD ํ‘œ์ค€ ๊ฐ€์ค‘์น˜ โ€“ MACD ๊ต์ฐจ ๊ฐ€์ค‘์น˜ (MACD>์‹ ํ˜ธ = ๊ฐ•์„ธ, MACD<์‹ ํ˜ธ = ์•ฝ์„ธ).

์ด์น˜๋ชจ์ฟ 

  • ์ด์น˜๋ชจ์ฟ  ์‚ฌ์šฉ โ€“ ์ถ”์„ธ ํ•„ํ„ฐ๋กœ ์ด์น˜๋ชจ์ฟ  ๊ตฌ๋ฆ„ ์‚ฌ์šฉ.
  • ํ…์นธ์„ผ / ํ‚ค์ค€์„ผ / ์„ผ์ฝ”์šฐ ์ŠคํŒฌ B โ€“ ์ด์น˜๋ชจ์ฟ  ์„ค์ •.
  • ์ด์น˜๋ชจ์ฟ  ๊ฐ€์ค‘์น˜ โ€“ ๊ตฌ๋ฆ„ ์œ„์น˜ ๊ฐ€์ค‘์น˜(์œ„ = ๊ฐ•์„ธ, ์•„๋ž˜ = ์•ฝ์„ธ, ๋‚ด๋ถ€ = ์ค‘๋ฆฝ).

RSI

  • RSI ์‚ฌ์šฉ / RSI ๊ธฐ๊ฐ„ โ€“ RSI ํ™œ์„ฑํ™” ๋ฐ ์กฐํšŒ ๊ธฐ๊ฐ„ ์„ค์ •.
  • RSI ๊ณผ๋งค์ˆ˜ / ๊ณผ๋งค๋„ โ€“ OB/OS ์ž„๊ณ„๊ฐ’.
  • RSI ๊ฐ€์ค‘์น˜ โ€“ ์—ญํ–‰ RSI ์‹ ํ˜ธ ๊ฐ€์ค‘์น˜: ๊ณผ๋งค๋„ โ†’ ๊ฐ•์„ธ, ๊ณผ๋งค์ˆ˜ โ†’ ์•ฝ์„ธ.

์Šคํ† ์บ์Šคํ‹ฑ

  • ์Šคํ† ์บ์Šคํ‹ฑ ์‚ฌ์šฉ โ€“ ์Šคํ† ์บ์Šคํ‹ฑ ์˜ค์‹ค๋ ˆ์ดํ„ฐ ํ™œ์„ฑํ™”.
  • ์Šคํ† ์บ์Šคํ‹ฑ %K ๊ธฐ๊ฐ„ / ๊ฐ์† / %D ๊ธฐ๊ฐ„ โ€“ ์Šคํ† ์บ์Šคํ‹ฑ ๋งค๊ฐœ๋ณ€์ˆ˜.
  • ์Šคํ† ์บ์Šคํ‹ฑ ๊ณผ๋งค์ˆ˜ / ๊ณผ๋งค๋„ โ€“ OB/OS ์ˆ˜์ค€.
  • ์Šคํ† ์บ์Šคํ‹ฑ ๊ฐ€์ค‘์น˜ โ€“ ๊ณผ๋งค์ˆ˜/๊ณผ๋งค๋„ ํŒจํ„ด ๊ฐ€์ค‘์น˜ (K>D ๋˜๋Š” K<D ๋…ผ๋ฆฌ).


๐Ÿ”Š 4. ๊ฑฐ๋ž˜๋Ÿ‰ ๋ฐ ์‹œ์žฅ ํ™œ๋™

๊ฑฐ๋ž˜๋Ÿ‰ ํ•„ํ„ฐ

  • ๊ฑฐ๋ž˜๋Ÿ‰ ํ•„ํ„ฐ ์‚ฌ์šฉ โ€“ true์ธ ๊ฒฝ์šฐ ๊ฑฐ๋ž˜๋Ÿ‰์ด ๋„ˆ๋ฌด ๋‚ฎ์œผ๋ฉด ์ง„์ž…์ด ์ฐจ๋‹จ๋ฉ๋‹ˆ๋‹ค.
  • ๊ฑฐ๋ž˜๋Ÿ‰ MA ๊ธฐ๊ฐ„ โ€“ ๊ฑฐ๋ž˜๋Ÿ‰ ์ด๋™ ํ‰๊ท  ๊ธฐ๊ฐ„.
  • ๊ฑฐ๋ž˜๋Ÿ‰ ๊ณ„์ˆ˜ โ€“ ํ˜„์žฌ ๊ฑฐ๋ž˜๋Ÿ‰์€ ์ตœ์†Œ MA * factor์—ฌ์•ผ ํ•ฉ๋‹ˆ๋‹ค (์˜ˆ: 1.2 = ํ‰๊ท ์˜ 120%).


๐ŸŽฏ 5. SL/TP, ATR, ํ•, ํŠธ๋ ˆ์ผ๋ง, ๋ธŒ๋ ˆ์ดํฌ์ด๋ธ

ATR ๊ธฐ๋ฐ˜ SL/TP

  • ATR SL/TP ์‚ฌ์šฉ โ€“ ๊ณ ์ • ํ•์ด ๋น„ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ ATR ๊ธฐ๋ฐ˜ SL/TP ์‚ฌ์šฉ.
  • ATR ๊ธฐ๊ฐ„ โ€“ ATR ์กฐํšŒ ๊ธฐ๊ฐ„.
  • SL/TP ATR ๋ฐฐ์ˆ˜ ๋กฑ/์ˆ โ€“ SL ๋ฐ TP์— ๋Œ€ํ•œ ATR ๋ฐฐ์ˆ˜(๋กฑ๊ณผ ์ˆ ๋ณ„๋„, ํ•์œผ๋กœ ๋ณ€ํ™˜).

ํ• ๊ธฐ๋ฐ˜ SL/TP

  • ํ• SL/TP ์‚ฌ์šฉ โ€“ true์ธ ๊ฒฝ์šฐ ๊ณ ์ • ํ• ๊ฑฐ๋ฆฌ๋งŒ ์‚ฌ์šฉํ•˜๋ฉฐ ATR SL/TP๋Š” ๋ฌด์‹œ.
  • SL ๋กฑ/์ˆ (ํ•) โ€“ ๊ณ ์ • SL ๊ฑฐ๋ฆฌ(ํ• ๋‹จ์œ„).
  • TP ๋กฑ/์ˆ (ํ•) โ€“ ๊ณ ์ • TP ๊ฑฐ๋ฆฌ(ํ• ๋‹จ์œ„).

ํŠธ๋ ˆ์ผ๋ง ์Šคํ†ฑ

  • ํŠธ๋ ˆ์ผ๋ง ์Šคํ†ฑ ์‚ฌ์šฉ โ€“ ๊ฐ€๊ฒฉ์ด ์œ ๋ฆฌํ•˜๊ฒŒ ์›€์ง์ผ ๋•Œ ๋™์  SL ์ถ”์  ํ™œ์„ฑํ™”.
  • TS ๊ฑฐ๋ฆฌ ๋กฑ/์ˆ (ํ•) โ€“ ํ˜„์žฌ ๊ฐ€๊ฒฉ์œผ๋กœ๋ถ€ํ„ฐ์˜ ์ถ”์  ๊ฑฐ๋ฆฌ.
  • TS ๋‹จ๊ณ„ ๋กฑ/์ˆ (ํ•) โ€“ SL์„ ๋‹ค์‹œ ์ด๋™์‹œํ‚ค๊ธฐ ์œ„ํ•ด ํ•„์š”ํ•œ ์ตœ์†Œ ํ• ๊ฐœ์„ .

๋ธŒ๋ ˆ์ดํฌ์ด๋ธ

  • ๋ธŒ๋ ˆ์ดํฌ์ด๋ธ ์‚ฌ์šฉ โ€“ ์ผ์ • ์ด์ต ํ›„ ์ž๋™์œผ๋กœ SL์„ ๋ธŒ๋ ˆ์ดํฌ์ด๋ธ์œผ๋กœ ์ด๋™.
  • BE ํŠธ๋ฆฌ๊ฑฐ ๋กฑ/์ˆ (ํ•) โ€“ BE ๋กœ์ง์„ ์ž‘๋™์‹œํ‚ค๋Š” ์ด์ต ์ž„๊ณ„๊ฐ’(ํ• ๋‹จ์œ„).
  • BE ์˜คํ”„์…‹ ๋กฑ/์ˆ (ํ•) โ€“ SL์ด ์ด๋™๋  ๋•Œ ์ง„์ž…์ ์—์„œ์˜ ์˜คํ”„์…‹(์ผ๋ถ€ ์ด์ต ํ™•๋ณด์šฉ).


๐Ÿงช 6. ๋งž์ถคํ˜• / ํ”„๋กœ ์ง€ํ‘œ

DynamicTrendFlux (MACD DTF)

  • MACD DTF ์‚ฌ์šฉ โ€“ ์ ์ˆ˜์— DTF ํŽธํ–ฅ ํ™œ์„ฑํ™”.
  • MACD DTF ๊ฐ€์ค‘์น˜ โ€“ DTF ํŽธํ–ฅ ๊ฐ€์ค‘์น˜: >0 ๊ฐ•์„ธ, <0 ์•ฝ์„ธ.

InstitutionalFlowRadar (RetailSmart)

  • RetailSmart ์‚ฌ์šฉ โ€“ ๊ธฐ๊ด€ ํ๋ฆ„ ํŽธํ–ฅ ์‚ฌ์šฉ.
  • RetailSmart ๊ฐ€์ค‘์น˜ โ€“ ์ด ์ ์ˆ˜์—์„œ ๊ฐ•์„ธ/์•ฝ์„ธ ํŽธํ–ฅ์˜ ๊ฐ€์ค‘์น˜.

Liquidity Cluster Order (OrderBlock)

  • OrderBlock ์‚ฌ์šฉ โ€“ ์œ ๋™์„ฑ ํด๋Ÿฌ์Šคํ„ฐ/์˜ค๋” ๋ธ”๋ก ์••๋ ฅ ํ™œ์„ฑํ™”.
  • OrderBlock ๊ฐ€์ค‘์น˜ โ€“ ๊ฐ•์„ธ/์•ฝ์„ธ ์••๋ ฅ ํŽธํ–ฅ์˜ ๊ฐ€์ค‘์น˜.

Pressure Scanner (Squeeze)

  • Squeeze ์‚ฌ์šฉ โ€“ ์Šคํ€ด์ฆˆ/ํ™•์žฅ ๊ฐ์ง€ ํ™œ์„ฑํ™”.
  • Squeeze ๊ฐ€์ค‘์น˜ โ€“ ๊ฐ•์„ธ/์•ฝ์„ธ ์••๋ ฅ ์‹ ํ˜ธ์˜ ๊ฐ€์ค‘์น˜.

Deep Mood Distribution

  • ์œ ๋™์„ฑ ์‹ฌ๋ฆฌ ์‚ฌ์šฉ โ€“ ์ฐจํŠธ์— ๋”ฅ ๋ฌด๋“œ/์‹ฌ๋ฆฌ ํ”„๋กœํ•„ ํ‘œ์‹œ; ์‹œ๊ฐ์  ์šฉ๋„์ด๋ฉฐ ์ ์ˆ˜ํ™”๋˜์ง€ ์•Š์Œ.

Hub Pro

  • Hub ์ƒน๋“ค๋ฆฌ์— ์‚ฌ์šฉ / Hub ์ƒน๋“ค๋ฆฌ์— ๊ฐ€์ค‘์น˜ โ€“ Hub Pro์˜ ์ƒน๋“ค๋ฆฌ์— ์‹ ํ˜ธ ์‚ฌ์šฉ ๋ฐ ๊ฐ€์ค‘์น˜ ์„ค์ •.
  • Hub AVWAP ์‚ฌ์šฉ / Hub AVWAP ๊ฐ€์ค‘์น˜ โ€“ ์ฃผ์–ด์ง„ ๊ฐ€์ค‘์น˜๋กœ AVWAP(๊ฐ€๊ฒฉ ์œ„/์•„๋ž˜) ์‚ฌ์šฉ.
  • Hub CVD ์‚ฌ์šฉ / Hub CVD ๊ฐ€์ค‘์น˜ โ€“ CVD ์ถ”์„ธ(์ƒ์Šน/ํ•˜๋ฝ) ๋ฐ ๊ฐ€์ค‘์น˜ ์‚ฌ์šฉ.

VWAP Pro ATR

  • VWAP Plus Pro ์‚ฌ์šฉ โ€“ ํ‰๊ท ํšŒ๊ท€ ๊ตฌ์„ฑ์š”์†Œ๋กœ VWAP Pro ATR ํ™œ์„ฑํ™”.
  • |z| ์ตœ์†Œ (VWAP) โ€“ โ€œํ‰ํƒ„/์ค‘๋ฆฝโ€ ๊ตฌ์—ญ์„ ํ”ผํ•˜๊ธฐ ์œ„ํ•œ VWAP๋กœ๋ถ€ํ„ฐ์˜ ์ตœ์†Œ ์ ˆ๋Œ€ z-์ ์ˆ˜ ๊ฑฐ๋ฆฌ.
  • VWAP Plus Pro ๊ฐ€์ค‘์น˜ โ€“ VWAP ํ‰๊ท ํšŒ๊ท€ ๊ฐ€์ค‘์น˜: ํ›จ์”ฌ ์•„๋ž˜ = ๊ฐ•์„ธ, ํ›จ์”ฌ ์œ„ = ์•ฝ์„ธ.

Volume Delta CVD

  • Volume Delta ์‚ฌ์šฉ โ€“ ๋ฐฉํ–ฅ์„ฑ ํ๋ฆ„ ํ•„ํ„ฐ๋กœ Volume Delta ์‚ฌ์šฉ.
  • ๋ธํƒ€ ๋ฐฉ๋ฒ• โ€“ ๋ธํƒ€ ๊ณ„์‚ฐ์— ์„ ํƒ๋œ ๋ฐฉ๋ฒ•(์˜ˆ: ์ข…๊ฐ€ ๋Œ€ ์ด์ „ ์ข…๊ฐ€).
  • ๋ฆฌ์…‹ ๋ชจ๋“œ โ€“ CVD๊ฐ€ ์–ผ๋งˆ๋‚˜ ์ž์ฃผ ๋ฆฌ์…‹๋˜๋Š”์ง€(์ผ๋ณ„ ๋“ฑ).
  • ๋ธํƒ€ EMA ๊ธฐ๊ฐ„ โ€“ ๋ธํƒ€์— ๋Œ€ํ•œ EMA ๊ธธ์ด(0 = ๋น„ํ™œ์„ฑํ™”).
  • ์ตœ์†Œ |๋ธํƒ€ EMA| โ€“ ์œ ํšจํ•œ ๋ธํƒ€ ์‹ ํ˜ธ๋ฅผ ์œ„ํ•œ ์ตœ์†Œ ์ ˆ๋Œ€ EMA.
  • Volume Delta ๊ฐ€์ค‘์น˜ โ€“ Volume Delta ๊ฐ•์„ธ/์•ฝ์„ธ ์‹ ํ˜ธ์˜ ๊ฐ€์ค‘์น˜.

ZigZag Pro

  • ZigZag Pro ์‚ฌ์šฉ โ€“ ์ถ”์„ธ ํ‘œ์‹œ๋กœ ๋งˆ์ง€๋ง‰ ํ™•์ธ๋œ ํ”ผ๋ฒ— ์‚ฌ์šฉ.
  • ZigZag Pro ๊ฐ€์ค‘์น˜ โ€“ ์‹ ํ˜ธ ๊ฐ€์ค‘์น˜: ๋งˆ์ง€๋ง‰ ํ”ผ๋ฒ— ์ €์  = ๊ฐ•์„ธ, ๋งˆ์ง€๋ง‰ ํ”ผ๋ฒ— ๊ณ ์  = ์•ฝ์„ธ (๋งˆ์ง€๋ง‰ 2๊ฐœ ํ”ผ๋ฒ—์— ๋Œ€ํ•œ ๋Œ€์ฒด ํฌํ•จ).


ํŠธ๋ ˆ์ด๋”ฉ ํ”„๋กœํ•„
0.0
๋ฆฌ๋ทฐ: 0
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
์ด ์ƒํ’ˆ์— ๋Œ€ํ•œ ๋ฆฌ๋ทฐ๊ฐ€ ์•„์ง ์—†์Šต๋‹ˆ๋‹ค. ์ด๋ฏธ ์‚ฌ์šฉํ•ด ๋ณด์…จ๋‚˜์š”? ๋‹ค๋ฅธ ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ๊ฐ€์žฅ ๋จผ์ € ์†Œ๊ฐœํ•ด ์ฃผ์„ธ์š”!
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ํ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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