"WT - Volume Delta" ๋กœ๊ณ 
์ง€ํ‘œ
๋ฒ„์ „ 1.0, Nov 2025
Windows, Mac
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"WT - Volume Delta" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
88.59M
๊ฑฐ๋ž˜๋Ÿ‰
105.61K
ํ• ์ˆ˜์ต
67
ํŒ๋งค
431
๋ฌด๋ฃŒ ์„ค์น˜

๋ธํƒ€ ๋ณผ๋ฅจ ์ง€ํ‘œ - cTrader๋ฅผ ์œ„ํ•œ ๊ณ ๊ธ‰ ์ฃผ๋ฌธ ํ๋ฆ„ ๋ถ„์„

๋ธํƒ€ ๋ณผ๋ฅจ ์ง€ํ‘œ๋Š” ํ‹ฑ ๋‹จ์œ„ ์ฃผ๋ฌธ ํ๋ฆ„์„ ๋ถ„์„ํ•˜์—ฌ ๊ฐ€๊ฒฉ ์›€์ง์ž„๋งŒ์œผ๋กœ๋Š” ์•Œ ์ˆ˜ ์—†๋Š” ๋งค์ˆ˜ ๋ฐ ๋งค๋„ ์••๋ ฅ์„ ๋“œ๋Ÿฌ๋ƒ…๋‹ˆ๋‹ค. ๊ฐ ๋ฐ”์— ๋Œ€ํ•ด ์ƒ์Šน ํ‹ฑ(๋งค์ˆ˜)๊ณผ ํ•˜๋ฝ ํ‹ฑ(๋งค๋„)์˜ ์ฐจ์ด๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ์ง„์ •ํ•œ ์‹œ์žฅ ์ฐธ์—ฌ์— ๋Œ€ํ•œ ํ†ต์ฐฐ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.


๋ฒ„์ „ 1.0
ํ˜„์žฌ ๋‚ฎ์€ ํƒ€์ž„ํ”„๋ ˆ์ž„(1๋ถ„ - 15๋ถ„)์— ์•ˆ์ •์ ์ธ ๋ฒ„์ „
๊ณง ์—…๋ฐ์ดํŠธ ์˜ˆ์ •!


๋…ํŠนํ•œ ์ 

์ง„์ •ํ•œ ํ‹ฑ ์ˆ˜์ค€ ๋ถ„์„: ๋ณผ๋ฅจ ๊ทผ์‚ฌ์น˜๊ฐ€ ์•„๋‹Œ ์‹ค์ œ ํ‹ฑ ๋ถ„๋ฅ˜
์ด์ค‘ ๋ฐœ์‚ฐ ์‹œ์Šคํ…œ: ๋ฐ” ์ˆ˜์ค€๊ณผ ํ”„๋ž™ํƒˆ ๊ธฐ๋ฐ˜ ๋ฐœ์‚ฐ ๊ฐ์ง€ ๋ชจ๋‘
ํ’ˆ์งˆ ๊ฒ€์ฆ: Corwin-Schultz ์Šคํ”„๋ ˆ๋“œ ์ถ”์ •์œผ๋กœ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์‹ ํ˜ธ ๋ณด์žฅ
์œ ์—ฐํ•œ ์‹œ๊ฐํ™”: ๋‹ค์–‘ํ•œ ์ƒ‰์ƒ ๋ฐฉ๋ฒ• ๋ฐ ํ•„ํ„ฐ๋ง ์˜ต์…˜
์™„์ „ํ•œ ์‚ฌ์šฉ์ž ์ •์˜: ๋ชจ๋“  ์ƒ‰์ƒ, ์ž„๊ณ„๊ฐ’ ๋ฐ ํ‘œ์‹œ ์˜ต์…˜ ๊ตฌ์„ฑ ๊ฐ€๋Šฅ
์—ฐ๊ตฌ ๊ธฐ๋ฐ˜: ๋™๋ฃŒ ๊ฒ€ํ† ๋œ ์‹œ์žฅ ๋ฏธ์‹œ๊ตฌ์กฐ ์—ฐ๊ตฌ์— ๊ธฐ๋ฐ˜


------------------------------------------------------------------------------------------------------------------------------------------------------------

ํ•ต์‹ฌ ๊ธฐ๋Šฅ

------------------------------------------------------------------------------------------------------------------------------------------------------------

๋ธํƒ€ ๋ณผ๋ฅจ ๊ณ„์‚ฐ

  • ํ‹ฑ ๊ทœ์น™ ๋ถ„๋ฅ˜: ๋ชจ๋“  ํ‹ฑ์„ ๋งค์ˆ˜(+1), ๋งค๋„(-1), ์ค‘๋ฆฝ(0)์œผ๋กœ ๋ถ„๋ฅ˜
  • ๋ฐ” ๋ธํƒ€: ๋ฐ”๋ณ„ ์ˆœ๋งค์ˆ˜/๋งค๋„ ์••๋ ฅ = ๋งค์ˆ˜ ๋ณผ๋ฅจ - ๋งค๋„ ๋ณผ๋ฅจ
  • ๋ˆ„์  ๋ธํƒ€: ์ง€์†์ ์ธ ๋ฐฉํ–ฅ์„ฑ ์••๋ ฅ์„ ๋ณด์—ฌ์ฃผ๋Š” ๋ˆ„์  ํ•ฉ๊ณ„
  • ๋‹ค์–‘ํ•œ ๊ฐ€๊ฒฉ ์œ ํ˜•: ๋งค๋„ํ˜ธ๊ฐ€, ๋งค์ˆ˜ํ˜ธ๊ฐ€ ๋˜๋Š” ์ค‘๊ฐ„ ๊ฐ€๊ฒฉ ์‚ฌ์šฉ ๊ณ„์‚ฐ


๋ธํƒ€ ๋ฐœ์‚ฐ ๊ฐ์ง€

๊ฐ€๊ฒฉ๊ณผ ์ฃผ๋ฌธ ํ๋ฆ„์ด ๋ถˆ์ผ์น˜ํ•  ๋•Œ๋ฅผ ์‹๋ณ„ - ์ž ์žฌ์  ๋ฐ˜์ „ ์‹ ํ˜ธ.


๋‘ ๊ฐ€์ง€ ํ•„ํ„ฐ ๋ฐฉ๋ฒ•:

  1. ํฌ๊ธฐ + ๋ถˆ๊ท ํ˜•: ๋ธํƒ€ ๊ฐ•๋„ ๋ฐ ๋ณผ๋ฅจ ๋ถˆ๊ท ํ˜•์— ๋Œ€ํ•œ ์ง์ ‘ ์ž„๊ณ„๊ฐ’
  2. ๋ฐฑ๋ถ„์œ„ ๊ธฐ๋ฐ˜: ๊ณผ๊ฑฐ ๋ถ„ํฌ์— ๊ธฐ๋ฐ˜ํ•œ ์ ์‘ํ˜• ํ•„ํ„ฐ๋ง


์‹œ๊ฐ์  ํ‘œ์‹œ๊ธฐ:

  • ์ž๋™์œผ๋กœ ์ œ์–ด์ (์ตœ๊ณ  ๋ณผ๋ฅจ ๊ฐ€๊ฒฉ ์ˆ˜์ค€)์— ๋ฐฐ์น˜
  • ํฌ๊ธฐ๋Š” ๋ธํƒ€ ํฌ๊ธฐ์— ๋”ฐ๋ผ ์กฐ์ ˆ
  • ์„ ํƒ์  ์ถ”์„ธ์„ ์ด ์•ž์œผ๋กœ ์—ฐ์žฅ๋จ


์ฐจํŠธ ์บ”๋“ค ์ƒ‰์ƒ

์ฃผ๋ฌธ ํ๋ฆ„์— ๋”ฐ๋ผ ์„ธ ๊ฐ€์ง€ ์šฐ์„ ์ˆœ์œ„ ์ˆ˜์ค€์œผ๋กœ ์บ”๋“ค ์ƒ‰์ƒ ์ง€์ •:

  1. ๋ฐœ์‚ฐ (๋…ธ๋ž€์ƒ‰) - ์ตœ๊ณ  ์šฐ์„ ์ˆœ์œ„
  2. CVD ์ฒด์ œ (์„ ํƒ ์‚ฌํ•ญ) - ์•ˆ์ •์ ์ธ ์ฒด์ œ ์‹๋ณ„
  3. ๋ฐ” ๋ธํƒ€ (๋ผ์ž„/๋นจ๊ฐ•/ํšŒ์ƒ‰) - ๋ฐ”๋ณ„ ์ƒ‰์ƒ ์ง€์ •

------------------------------------------------------------------------------------------------------------------------------------------------------------

CVD ์ฒด์ œ ๋ถ„์„

------------------------------------------------------------------------------------------------------------------------------------------------------------

์•ˆ์ •์ ์ธ ์ƒ‰์ƒ ์ง€์ • ๋ฐฉ๋ฒ• ๋‘ ๊ฐ€์ง€:

1. ๋ฒ”์œ„ ๋‚ด ์œ„์น˜

  • ์ตœ๊ทผ ๋ฒ”์œ„ ๋‚ด์—์„œ CVD ์œ„์น˜ ํ‘œ์‹œ(0-100%)
  • ์ƒ์œ„ 30% = ๊ฐ•์„ธ | ํ•˜์œ„ 30% = ์•ฝ์„ธ | ์ค‘๊ฐ„ 40% = ์ค‘๋ฆฝ
  • ๋น ๋ฅด๊ณ  ์ง๊ด€์ ์ด๋ฉฐ ์ž์ฒด ์ ์‘ํ˜•


2. Corwin-Schultz ํ’ˆ์งˆ ํ•„ํ„ฐ

  • ๊ฐ€๊ฒฉ์— ๋Œ€ํ•œ ์‹ค์ œ Corwin-Schultz ์Šคํ”„๋ ˆ๋“œ ์ถ”์ • ์‚ฌ์šฉ
  • ์‹œ์žฅ ์œ ๋™์„ฑ์ด ๋†’์„ ๋•Œ(์Šคํ”„๋ ˆ๋“œ๊ฐ€ ์ข์„ ๋•Œ)๋งŒ CVD ์‹ ๋ขฐ
  • ์‹ ๋ขฐํ•  ์ˆ˜ ์—†๋Š” ๊ธฐ๊ฐ„ ์ž๋™ ํ•„ํ„ฐ๋ง
  • ๋™๋ฃŒ ๊ฒ€ํ†  ์—ฐ๊ตฌ ๊ธฐ๋ฐ˜ (Corwin & Schultz 2012)

ํ•ต์‹ฌ ์›์น™: CVD๋Š” ์œ ๋™์„ฑ์ด ๋†’์€ ์‹œ์žฅ์—์„œ๋งŒ ์˜๋ฏธ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฐฉ๋ฒ•์€ CVD ์‹ ํ˜ธ๋ฅผ ํ‘œ์‹œํ•˜๊ธฐ ์ „์— ์‹œ์žฅ ํ’ˆ์งˆ์„ ๊ฒ€์ฆํ•ฉ๋‹ˆ๋‹ค.

------------------------------------------------------------------------------------------------------------------------------------------------------------

๊ฐ€๊ฒฉ-๋ธํƒ€ ํ”„๋ž™ํƒˆ ๋ถ„์„

------------------------------------------------------------------------------------------------------------------------------------------------------------

๊ฐ€๊ฒฉ ์ฐจํŠธ์™€ ๋ˆ„์  ๋ธํƒ€์—์„œ ๋™์‹œ์— ํ”ผ๋ฒ— ํฌ์ธํŠธ๋ฅผ ์ถ”์ ํ•ฉ๋‹ˆ๋‹ค.

ํŠน์ง•:

  • ๊ตฌ์„ฑ ๊ฐ€๋Šฅํ•œ ํ”ผ๋ฒ— ๊ธธ์ด๋กœ ๊ณ ์ /์ €์  ํ”„๋ž™ํƒˆ ๊ฐ์ง€
  • ์—ฐ์† ์ถ”์ : ์—ฐ์† ๊ณ ์  ๋˜๋Š” ์—ฐ์† ์ €์  ์ถ”์ 
  • ๋ฐœ์‚ฐ ๊ฐ์ง€: ํ”ผ๋ฒ— ๊ฐ„ ๊ฐ€๊ฒฉ ๊ธฐ์šธ๊ธฐ์™€ CVD ๊ธฐ์šธ๊ธฐ ๋น„๊ต
  • ์ด์ค‘ ์‹œ๊ฐํ™”: ๊ฐ€๊ฒฉ ์ฐจํŠธ์™€ ์ง€ํ‘œ ํŒจ๋„ ๋ชจ๋‘์— ํ‘œ์‹œ๊ธฐ ๋ฐ ์ถ”์„ธ์„ 
  • ์„ ํƒ์  ํ•„ํ„ฐ: ๊นจ๋—ํ•˜๊ณ  ์ง‘์ค‘๋œ ๋ทฐ๋ฅผ ์œ„ํ•ด ๋ฐœ์‚ฐ ํ”„๋ž™ํƒˆ๋งŒ ํ‘œ์‹œ

------------------------------------------------------------------------------------------------------------------------------------------------------------

์‹œ๊ฐ์  ์ถœ๋ ฅ

------------------------------------------------------------------------------------------------------------------------------------------------------------

์ง€ํ‘œ ํŒจ๋„ 

  • ๋ธํƒ€ ํžˆ์Šคํ† ๊ทธ๋žจ: ํฐ์ƒ‰ ๋ฐ”(์ผ๋ฐ˜), ๋…ธ๋ž€์ƒ‰ ๋ฐ”(๋ฐœ์‚ฐ)
  • ๋ˆ„์  ๋ธํƒ€ ์„ : ์ง„ํ–‰ ์ค‘์ธ ์ฃผ๋ฌธ ํ๋ฆ„์„ ๋ณด์—ฌ์ฃผ๋Š” ์ฒญ๋ก์ƒ‰ ์„ 
  • ์ œ๋กœ ๊ธฐ์ค€์„ : ํšŒ์ƒ‰ ์ ์„ 
  • ํ”„๋ž™ํƒˆ ํ‘œ์‹œ๊ธฐ: โ–ผ (๊ณ ์ ) ๋ฐ โ–ฒ (์ €์ )์™€ ์ถ”์„ธ์„ 

๊ฐ€๊ฒฉ ์ฐจํŠธ

  • ์ƒ‰์น ๋œ ์บ”๋“ค: ์ฃผ๋ฌธ ํ๋ฆ„ ์ฒด์ œ์˜ ์‹œ๊ฐ์  ํ‘œํ˜„
  • ํ”„๋ž™ํƒˆ ํ‘œ์‹œ๊ธฐ: ์ง€ํ‘œ ํŒจ๋„๊ณผ ๋™๊ธฐํ™”๋จ
  • ํ”„๋ž™ํƒˆ ์ถ”์„ธ์„ : ํ”ผ๋ฒ—์„ ์—ฐ๊ฒฐํ•˜๋ฉฐ ๋ฐœ์‚ฐ ๊ฐ•์กฐ
  • ๋ฐœ์‚ฐ ํ‘œ์‹œ๊ธฐ: ์ œ์–ด์ ์— ์›ํ˜• ํ‘œ์‹œ


------------------------------------------------------------------------------------------------------------------------------------------------------------

์ฐธ๊ณ  ๋ฌธํ—Œ

------------------------------------------------------------------------------------------------------------------------------------------------------------

  • Corwin, S. A., & Schultz, P. (2012). "์ผ์ผ ์ตœ๊ณ  ๋ฐ ์ตœ์ € ๊ฐ€๊ฒฉ์œผ๋กœ๋ถ€ํ„ฐ ๋งค๋„-๋งค์ˆ˜ ์Šคํ”„๋ ˆ๋“œ๋ฅผ ์ถ”์ •ํ•˜๋Š” ๊ฐ„๋‹จํ•œ ๋ฐฉ๋ฒ•." The Journal of Finance, 67(2), 719-760.
  • Lรณpez de Prado, M. (2018). ๊ธˆ์œต ๋จธ์‹ ๋Ÿฌ๋‹์˜ ์ง„๋ณด, 19์žฅ.
  • Lee, C. M., & Ready, M. J. (1991). "์ผ์ค‘ ๋ฐ์ดํ„ฐ๋กœ๋ถ€ํ„ฐ ๊ฑฐ๋ž˜ ๋ฐฉํ–ฅ ์ถ”๋ก ." The Journal of Finance, 46(2), 733-746.
์ง€ํ‘œ ํ”„๋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”!
BTCUSD
Forex
Signal
Indices
EURUSD
Commodities
GBPUSD
NZDUSD
Prop
Crypto
Stocks
XAUUSD
NAS100
USDJPY
ํ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.

์ด ์ž‘์„ฑ์ž์˜ ์ƒํ’ˆ ๋” ๋ณด๊ธฐ

์ง€ํ‘œ
Prop
Forex
+12
Lightweight Risk-Reward Visualization Tool.
๋ฐ์Šคํฌํ†ฑ ํ”Œ๋Ÿฌ๊ทธ์ธ
Forex
Crypto
+3
Build custom second and tick charts using adjustable bar sampling intervals.
๋ฐ์Šคํฌํ†ฑ ํ”Œ๋Ÿฌ๊ทธ์ธ
Stocks
Indices
+1
Build custom charts based on specific trading sessions.
cBot
Prop
Forex
+4
Turn Your Keyboard into a Trading Console โ€” Instant Entries, Exits, and Precision Risk Control.
์ง€ํ‘œ
Forex
Crypto
+5
Experience a new approach with amplitude-based momentum analysis. Smart Trend Detection That Adapts to Market Volatility
"wt.UNiRENKO" ๋กœ๊ณ 
์ธ๊ธฐ
5.0
(2)
$19
/
$38
๋ฐ์Šคํฌํ†ฑ ํ”Œ๋Ÿฌ๊ทธ์ธ
Forex
Signal
+2
Adaptive Renko chart builder for precise, flexible trading - ideal for both scalping and trend analysis.
"WT - PJER" ๋กœ๊ณ 
์ธ๊ธฐ
5.0
(1)
$59
/
$99
์ง€ํ‘œ
Forex
Crypto
+4
Statistical boundaries that adapt to real-time volatility for a better risk management.
์ง€ํ‘œ
Forex
Crypto
+5
This indicator combines two independent analytical engines into a single overlay on your chart.
์ง€ํ‘œ
Imbalance
Key Levels
+2
A Next-Generation Adaptive Oscillator with Z-Score Regime Engine.
์ง€ํ‘œ
Key Levels
Supertrend
+1
A cTrader indicator for clear trend direction, entry timing, and on-chart risk visualization.
์ง€ํ‘œ
Forex
Crypto
+5
Combines multiple Currency Pairs / Symbols into a single Weighted Average Strength of that currency.
์ง€ํ‘œ
Prop
Forex
+5
A channel-based trend indicator that combines three distinct analytical layers into a single, readable overlay.

์ข‹์•„ํ•˜์‹ค ๋งŒํ•œ ๋‹ค๋ฅธ ํ•ญ๋ชฉ

์ง€ํ‘œ
AI
ATR
+27
VolumeProfileSuite is an advanced and flexible Volume Profile indicator for cTrader.
"ICT Killzones" ๋กœ๊ณ 
์ธ๊ธฐ
4.0
(4)
$19
/
$30
์ง€ํ‘œ
AI
SMC
+5
Complete ICT Killzones: 5 sessions, easy colors, transparency controls & session info. Professional timing for cTrader.
์ง€ํ‘œ
ATR
Market Structure
+3
Support Resistance Toolkit
์ง€ํ‘œ
Prop
Forex
+4
Pivot Points Standard โ€” All-in-One Multi-Timeframe Pivot Indicator for cTrader
์ง€ํ‘œ
AI
ATR
+27
The Support & Resistance Pro helps traders identify key support and resistance levels for informed trading decisions.
์ง€ํ‘œ
ATR
RSI
+16
Multi-timeframe trend indicator using EMA, MACD & ADX to confirm high-probability buy and sell bias.
์ง€ํ‘œ
Imbalance
Supertrend
+5
Colorea las velas automรƒยกticamente segรƒยบn los niveles mรƒยกximos, mรƒยญnimos y de cierre previos para definir tendencias.
์ง€ํ‘œ
Prop
VWAP
+12
FBX VWAP Anchored โ€” Professional VWAP
์ง€ํ‘œ
Forex
Signal
+4
Gann Pivot Vision is an innovative analytical tool that combines classic pivot reversal levels and Gann geometry
์ง€ํ‘œ
Prop
Forex
+13
Identifies market compression zones and explosive Breakout moments using mathematical modeling.
"RSI Indicator" ๋กœ๊ณ 
์‹ ๊ทœ
$19
์ง€ํ‘œ
RSI
SMA
+1
TradingView RSI replica for cTrader with dynamic gradients, automatic divergence detection, and alerts.
์ง€ํ‘œ
ATR
Breaker Block
+5
Display your symbol, timeframe or custom text as a watermark on any chart position with full color and size control.
์ง€ํ‘œ
MACD
Crypto
A simple tool to control market sessions. fixed the display on the weekend.
์ง€ํ‘œ
AI
ATR
+27
Deep Mood Distribution (DMD) is a segmented volume-profile and sentiment tool that analyzes price action in fixed bar bl
์ง€ํ‘œ
SMC
Prop
+12
Multi-TF FVG + Smart Fibonacci
์ง€ํ‘œ
AI
ATR
+26
SMC without the mess: Clean structure + auto-managing FVGs + MTF panel. Hard-right-edge, step size-based for any symbol.
์ง€ํ‘œ
Key Levels
Supply & Demand
+2
Institutional Levels Pro is an essential tool for traders who rely on price action and institutional market structure.
์ง€ํ‘œ
AI
SMC
+14
Refined cleaner version of Key Levels indicator with broker UTC offset, styles & label alignment.
88.59M
๊ฑฐ๋ž˜๋Ÿ‰
105.61K
ํ• ์ˆ˜์ต
67
ํŒ๋งค
431
๋ฌด๋ฃŒ ์„ค์น˜