Deep Mood Distribution_v1.1
์ง€ํ‘œ
1 ๊ตฌ๋งค
๋ฒ„์ „ 1.0, Nov 2025
Windows, Mac
4.0
๋ฆฌ๋ทฐ: 1
Trading product for Deep Mood Distribution_v1.1 ์ง€ํ‘œ Signal Indices, image 2
Trading product for Deep Mood Distribution_v1.1 ์ง€ํ‘œ Signal Indices, image 3
Trading product for Deep Mood Distribution_v1.1 ์ง€ํ‘œ Signal Indices, image 4
42.11M
๊ฑฐ๋ž˜๋Ÿ‰
6.13M
ํ• ์ˆ˜์ต
222
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๋ฌด๋ฃŒ ์„ค์น˜

์„ค๋ช…

๋”ฅ ๋ฌด๋“œ ๋ถ„ํฌ (DMD) ๐Ÿ“Š๐Ÿง 


๊ฐœ์š”

๋”ฅ ๋ฌด๋“œ ๋ถ„ํฌ (DMD) ๋Š” ๊ณ ์ •๋œ ๋ฐ” ๋ธ”๋ก ๋‚ด ๊ฐ€๊ฒฉ ์›€์ง์ž„์„ ๋ถ„์„ํ•˜๋Š” ์„ธ๋ถ„ํ™”๋œ ๋ณผ๋ฅจ ํ”„๋กœํ•„ ๋ฐ ์‹ฌ๋ฆฌ ๋„๊ตฌ๋กœ ๋‹ค์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค:

  • ์–ด๋””์— ๊ฑฐ๋ž˜ ํ™œ๋™์ด ์ง‘์ค‘๋˜์–ด ์žˆ๋Š”์ง€ โš–๏ธ
  • ์–ด๋””์— ์œ ๋™์„ฑ์ด ์–‡๊ฑฐ๋‚˜ ๋ฐ˜์‘์ ์ธ์ง€ (์ž ์žฌ์  ์ˆ˜์š” ๋ฐ ๊ณต๊ธ‰ / ์œ ๋™์„ฑ ๊ตฌ์—ญ) ๐Ÿ’ง
  • ๊ฐ ๊ฐ€๊ฒฉ ์˜์—ญ์—์„œ ์–ด๋А ์ชฝ์ด ์ง€๋ฐฐ์ ์ธ์ง€ (๋งค์ˆ˜์ž ๋Œ€ ๋งค๋„์ž) ๐Ÿ‚๐Ÿป

๋‹จ์ผ ์Šฌ๋ผ์ด๋”ฉ ํ”„๋กœํ•„ ๋Œ€์‹ , DMD๋Š” ์ฐจํŠธ๋ฅผ X ๋ฐ”์˜ ๋ฐ˜๋ณต ๋ธ”๋ก์œผ๋กœ ๋‚˜๋ˆ„๊ณ  ๊ฐ ๋ธ”๋ก๋งˆ๋‹ค ๋ณ„๋„์˜ ์œ ๋™์„ฑ ๋ฐ ์‹ฌ๋ฆฌ ์ง€๋„๋ฅผ ๋งŒ๋“ญ๋‹ˆ๋‹ค.
์ด๋ฅผ ํ†ตํ•ด ๋ณผ๋ฅจ ๋ถ„ํฌ์™€ ์‹œ์žฅ ์‹ฌ๋ฆฌ๊ฐ€ ์„ธ๊ทธ๋จผํŠธ๋งˆ๋‹ค ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๋Š”์ง€ ์‹œ๊ฐ์ ์œผ๋กœ ์‰ฝ๊ฒŒ ๋น„๊ตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


์ž‘๋™ ๋ฐฉ์‹ ๐Ÿงฉ

๊ฐ Bars In Profile ์บ”๋“ค ๋ธ”๋ก์— ๋Œ€ํ•ด:

  1. ์ง€ํ‘œ๋Š” ํ•ด๋‹น ๋ธ”๋ก์˜ ์ตœ๊ณ ๊ฐ€์™€ ์ตœ์ €๊ฐ€๋ฅผ ์ฐพ์Šต๋‹ˆ๋‹ค.
  2. ๊ฐ€๊ฒฉ ๋ฒ”์œ„๋Š” Number of Rows ๊ฐœ์˜ ์ˆ˜์ง ๊ฐ€๊ฒฉ ๊ตฌ๊ฐ„์œผ๋กœ ๋‚˜๋‰ฉ๋‹ˆ๋‹ค.
  3. ๋ธ”๋ก ๋‚ด ๊ฐ ์บ”๋“ค์— ๋Œ€ํ•ด:
    • ํ‹ฑ ๋ณผ๋ฅจ์ด ์บ”๋“ค์˜ ๋ฒ”์œ„๊ฐ€ ๋‹ฟ๋Š” ๊ฐ ๊ฐ€๊ฒฉ ๊ตฌ๊ฐ„์— ๋ถ„๋ฐฐ๋ฉ๋‹ˆ๋‹ค.
    • ๊ฐ ํ–‰์— ๋Œ€ํ•ด ๋‘ ๊ฐ€์ง€ ๋ณผ๋ฅจ์ด ๋ˆ„์ ๋ฉ๋‹ˆ๋‹ค:
      • ํ•ด๋‹น ๊ฐ€๊ฒฉ ํ–‰์˜ ์ด ๋ณผ๋ฅจ
      • ๊ฐ•์„ธ ๋ณผ๋ฅจ (์ข…๊ฐ€ > ์‹œ๊ฐ€์ธ ๋ฐ”๋งŒ ํ•ด๋‹น)
  4. ์ด ๋ฐ์ดํ„ฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ DMD๋Š” ๋‹ค์Œ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค:
    • ์œ ๋™์„ฑ ํ”„๋กœํ•„ (์˜ค๋ฅธ์ชฝ)
      • ํ–‰ ๊ธธ์ด โˆ ๋ธ”๋ก ๋‚ด ์ตœ๋Œ€ ํ–‰ ๋ณผ๋ฅจ ๋Œ€๋น„ ์ƒ๋Œ€์  ๋ณผ๋ฅจ
      • ์ƒ‰์ƒ์€ ๋†’์Œ / ํ‰๊ท  / ๋‚ฎ์Œ ๊ฑฐ๋ž˜ ๋…ธ๋“œ๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
    • ์‹ฌ๋ฆฌ ํ”„๋กœํ•„ (์™ผ์ชฝ)
      • ํ–‰๋ณ„ ์‹ฌ๋ฆฌ = 2 ร— BullishVolume โˆ’ TotalVolume
      • ์–‘์ˆ˜ = ๋งค์ˆ˜์ž ์šฐ์œ„ (๊ฐ•์„ธ ์‹ฌ๋ฆฌ)
      • ์Œ์ˆ˜ = ๋งค๋„์ž ์šฐ์œ„ (์•ฝ์„ธ ์‹ฌ๋ฆฌ)
  5. ์ด ๊ณผ์ •์€ ์ตœ๊ทผ N๊ฐœ ๋ธ”๋ก์— ๋Œ€ํ•ด ๋ฐ˜๋ณต๋˜์–ด ์—ฌ๋Ÿฌ ์„ธ๊ทธ๋จผํŠธ๋ฅผ ๋‚˜๋ž€ํžˆ ๋น„๊ตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์˜ค๋ฅธ์ชฝ โ€“ ์œ ๋™์„ฑ ํ”„๋กœํ•„ (๋ณผ๋ฅจ) ๐Ÿ“Š

์˜ค๋ฅธ์ชฝ ๋ฐ”๋Š” ๊ฐ ๊ฐ€๊ฒฉ ์ˆ˜์ค€์—์„œ ๋ฐœ์ƒํ•œ ๊ฑฐ๋ž˜ ํ™œ๋™(๋ณผ๋ฅจ)์˜ ์–‘์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค ํ•ด๋‹น ๋ธ”๋ก ๋‚ด์—์„œ, ๋งค์ˆ˜์ž๋‚˜ ๋งค๋„์ž ๊ตฌ๋ถ„ ์—†์ด.

  • ๊ณ ๋ณผ๋ฅจ ๋…ธ๋“œ (HVN) โ€“ ์˜ˆ: ์ฃผํ™ฉ์ƒ‰ ๋ฐ”
    • ๋ธ”๋ก ๋‚ด ์ตœ๋Œ€ ํ–‰ ๋ณผ๋ฅจ์˜ High Traded Threshold % ์ด์ƒ์ธ ํ–‰
    • ๊ฐ€์น˜ ์˜์—ญ, ํ™œ๋ฐœํ•œ ๊ฑฐ๋ž˜, ํ†ตํ•ฉ ๊ตฌ์—ญ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  • ์ €๋ณผ๋ฅจ ๋…ธ๋“œ (LVN) โ€“ ์˜ˆ: ํŒŒ๋ž€์ƒ‰ ๋ฐ”
    • ๋ธ”๋ก ๋‚ด ์ตœ๋Œ€ ํ–‰ ๋ณผ๋ฅจ์˜ Low Traded Threshold % ์ดํ•˜์ธ ํ–‰
    • ์–‡์€ ์œ ๋™์„ฑ ๊ตฌ์—ญ, ๊ฑฐ๋ถ€ ๊ฐ€๋Šฅ์„ฑ ๋˜๋Š” ๋น ๋ฅธ ์ด๋™ ๊ตฌ์—ญ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  • ํ‰๊ท  ๋ณผ๋ฅจ ๋…ธ๋“œ โ€“ ์˜ˆ: ํšŒ์ƒ‰ ๋ฐ”
    • ๊ณ /์ € ์ž„๊ณ„๊ฐ’ ์‚ฌ์ด์˜ ๋ชจ๋“  ๊ฒƒ
    • โ€œ๋ณดํ†ตโ€ ๊ฑฐ๋ž˜ ์ˆ˜์ค€, ๊ทน๋‹จ์ ์ด์ง€ ์•Š์Œ.

๐Ÿง  ๋ฐ” ๊ธธ์ด (์˜ค๋ฅธ์ชฝ)
โ†’ ๋ธ”๋ก ๋‚ด ์ตœ๋Œ€ ๋ณผ๋ฅจ ๋Œ€๋น„ ํ•ด๋‹น ๊ฐ€๊ฒฉ ํ–‰์˜ ์ด ๊ฑฐ๋ž˜๋Ÿ‰์— ๋น„๋ก€ํ•ฉ๋‹ˆ๋‹ค.
๊ฑฐ๋ž˜๋Ÿ‰์ด ๋งŽ์„์ˆ˜๋ก ๋ฐ”๊ฐ€ ๊ธธ์–ด์ง‘๋‹ˆ๋‹ค.

์ฃผ์š” ๋งค๊ฐœ๋ณ€์ˆ˜:

  • High Traded Threshold %
  • Low Traded Threshold %


์™ผ์ชฝ โ€“ ์‹ฌ๋ฆฌ ํ”„๋กœํ•„ (์‹œ์žฅ ์‹ฌ๋ฆฌ) ๐Ÿง ๐Ÿ“‰๐Ÿ“ˆ

์™ผ์ชฝ ๋ฐ”๋Š” ๊ฐ ๊ฐ€๊ฒฉ ์ˆ˜์ค€์—์„œ์˜ ์‹ฌ๋ฆฌ / ์ง€๋ฐฐ๋ ฅ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค: ํ•ด๋‹น ํ–‰์—์„œ ๋งค์ˆ˜์ž์™€ ๋งค๋„์ž ์ค‘ ๋ˆ„๊ฐ€ ๋” ๊ฐ•ํ–ˆ๋Š”์ง€.

๊ฐ ํ–‰์— ๋Œ€ํ•ด:

์‹ฌ๋ฆฌ=2ร—๊ฐ•์„ธ๋ณผ๋ฅจโˆ’์ด๋ณผ๋ฅจ

  • ๊ฐ•์„ธ ๋ฐ” (๋งค์ˆ˜์ž ์šฐ์œ„) โ€“ ์˜ˆ: ์ฒญ๋ก์ƒ‰/๋…น์ƒ‰ ๋ฐ”
    • ์‹ฌ๋ฆฌ > 0
    • ํ•ด๋‹น ๊ฐ€๊ฒฉ์—์„œ ๊ฐ•์„ธ ์บ”๋“ค(์ข…๊ฐ€ > ์‹œ๊ฐ€)์—์„œ ๋” ๋งŽ์€ ๊ฑฐ๋ž˜๋Ÿ‰์ด ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ํ•ด๋‹น ๊ฐ€๊ฒฉ ํ–‰์—์„œ ๋งค์ˆ˜ ์ธก ์ง€๋ฐฐ๋ ฅ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.
  • ์•ฝ์„ธ ๋ฐ” (๋งค๋„์ž ์šฐ์œ„) โ€“ ์˜ˆ: ๋นจ๊ฐ„์ƒ‰ ๋ฐ”
    • ์‹ฌ๋ฆฌ < 0
    • ํ•ด๋‹น ๊ฐ€๊ฒฉ์—์„œ ์•ฝ์„ธ ์บ”๋“ค(์ข…๊ฐ€ < ์‹œ๊ฐ€)์—์„œ ๋” ๋งŽ์€ ๊ฑฐ๋ž˜๋Ÿ‰์ด ๋ฐœ์ƒํ–ˆ์Šต๋‹ˆ๋‹ค.
    • ๋งค๋„ ์ธก ์ง€๋ฐฐ๋ ฅ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.

๐Ÿง  ๋ฐ” ๊ธธ์ด (์™ผ์ชฝ)
โ†’ ๋ธ”๋ก ๋‚ด ๊ฐ€์žฅ ๊ฐ•ํ•œ ํ–‰์— ๋Œ€ํ•œ ์‹ฌ๋ฆฌ ์ ˆ๋Œ€๊ฐ’(|์‹ฌ๋ฆฌ|)์— ๋น„๋ก€ํ•ฉ๋‹ˆ๋‹ค.
๋” ๊ฐ•ํ•œ ์ง€๋ฐฐ๋ ฅ (๋งค์ˆ˜์ž์™€ ๋งค๋„์ž ๊ฐ„ ํฐ ๋ถˆ๊ท ํ˜•) โ†’ ๋” ๊ธด ๋ฐ”.

์ฃผ์š” ๋งค๊ฐœ๋ณ€์ˆ˜:

  • Show Sentiment Profile (์ผœ๊ธฐ/๋„๊ธฐ)

๋งค๊ฐœ๋ณ€์ˆ˜ ์„ธ๋ถ€์‚ฌํ•ญ โš™๏ธ

1. Bars In Profile

๊ทธ๋ฃน: ์ฃผ์š” ์„ค์ •

๊ฐ ๋ธ”๋ก์— ํฌํ•จ๋œ ์บ”๋“ค ์ˆ˜์ž…๋‹ˆ๋‹ค.

  • ์˜ˆ: Bars In Profile = 100
    • ๋ธ”๋ก 0 โ†’ ์ตœ๊ทผ 100 ๋ฐ”
    • ๋ธ”๋ก 1 โ†’ ์ด์ „ 100 ๋ฐ”
    • ๋ธ”๋ก 2 โ†’ ๊ทธ ์ด์ „ 100 ๋ฐ”, ๊ณ„์† ์ด์–ด์ง.

๋ธ”๋ก์„ ๋‹ค์Œ๊ณผ ๋งž์ถ”๋Š” ๋ฐ ์‚ฌ์šฉํ•˜์„ธ์š”:

  • ๋Œ€๋žต์ ์ธ ์„ธ์…˜,
  • ์ผ๋ฐ˜์ ์ธ ์Šค์œ™ / ์ผ์ค‘ ๋ฒ”์œ„,
  • ๋˜๋Š” ๋ถ„์„ํ•˜๋ ค๋Š” ์ž„์˜์˜ ์ฐฝ.

๊ฐ’์ด ์ž‘์„์ˆ˜๋ก ๋ฐ˜์‘์ด ๋น ๋ฅด๊ณ  ๋” ์„ธ๋ถ„ํ™”๋ฉ๋‹ˆ๋‹ค.
๊ฐ’์ด ํด์ˆ˜๋ก ๋” ๋ถ€๋“œ๋Ÿฝ๊ณ  โ€œ๊ฑฐ์‹œ์ โ€ ๊ตฌ์กฐ๊ฐ€ ๋ฉ๋‹ˆ๋‹ค.


2. Blocks To Show

๊ทธ๋ฃน: ์ฃผ์š” ์„ค์ •

์ฐจํŠธ์— ๊ทธ๋ฆด ์—ฐ์† ๋ธ”๋ก ์ˆ˜์ž…๋‹ˆ๋‹ค.

  • 1 โ†’ ๊ฐ€์žฅ ์ตœ๊ทผ ๋ธ”๋ก๋งŒ ํ‘œ์‹œ
  • 2โ€“3 โ†’ ๋น„๊ต์— ๋งค์šฐ ์‹ค์šฉ์ ์ด๋ฉฐ ๋ณต์žกํ•˜์ง€ ์•Š์Œ
  • ๋” ๋†’์€ ๊ฐ’ โ†’ ๋” ๋งŽ์€ ๊ธฐ๋ก, ๊ทธ๋Ÿฌ๋‚˜ ์ฐจํŠธ ๋‚ด ๊ฐ์ฒด๋„ ์ฆ๊ฐ€

์ด ๊ฐ’์„ ์ดˆ๊ณผํ•˜๋Š” ์˜ค๋ž˜๋œ ๋ธ”๋ก์€ ์•ˆ์ •์„ฑ ์œ ์ง€๋ฅผ ์œ„ํ•ด ์ž๋™์œผ๋กœ ์ •๋ฆฌ๋ฉ๋‹ˆ๋‹ค.


3. Number of Rows

๊ทธ๋ฃน: ์ฃผ์š” ์„ค์ •

๊ฐ ๋ธ”๋ก ํ”„๋กœํ•„์˜ ์ˆ˜์ง ํ•ด์ƒ๋„์ž…๋‹ˆ๋‹ค.
๋ธ”๋ก์˜ ๊ฐ€๊ฒฉ ๋ฒ”์œ„๋Š” ์ด๋งŒํผ์˜ ํ–‰(๊ฐ€๊ฒฉ ์ˆ˜์ค€)์œผ๋กœ ๋‚˜๋‰ฉ๋‹ˆ๋‹ค.

  • ๊ฐ’์ด ๋†’์„์ˆ˜๋ก ๋” ์„ธ๋ฐ€ํ•˜๊ณ  ์–‡์€ ํ–‰, ๋” ๋งŽ์€ ์‚ฌ๊ฐํ˜•
  • ๊ฐ’์ด ๋‚ฎ์„์ˆ˜๋ก ๋” ๋ถ€๋“œ๋Ÿฌ์šด ๊ตฌ์กฐ, ์ฝ๊ธฐ ์‰ฌ์›€

์ผ๋ฐ˜์ ์ธ ๋ฒ”์œ„:

  • 15โ€“25 ์ผ๋ฐ˜์ ์ธ ์ผ์ค‘ ์‚ฌ์šฉ
  • 30โ€“40+ ๋งค์šฐ ์„ธ๋ฐ€ํ•œ ํ•ด์ƒ๋„๊ฐ€ ํ•„์š”ํ•˜๊ณ  ํ”Œ๋žซํผ์ด ์ถฉ๋ถ„ํžˆ ๊ฐ•ํ•  ๋•Œ๋งŒ


4. Profile Width %

๊ทธ๋ฃน: ์ฃผ์š” ์„ค์ •

ํ”„๋กœํ•„์ด ๋ธ”๋ก ์ค‘์‹ฌ์—์„œ ์ˆ˜ํ‰์œผ๋กœ ์–ผ๋งˆ๋‚˜ ํ™•์žฅ๋˜๋Š”์ง€๋ฅผ ๋ธ”๋ก ๋„ˆ๋น„์˜ ๋ฐฑ๋ถ„์œจ๋กœ ์ œ์–ดํ•ฉ๋‹ˆ๋‹ค.

  • ์œ ๋™์„ฑ(์˜ค๋ฅธ์ชฝ)๊ณผ ์‹ฌ๋ฆฌ(์™ผ์ชฝ) ๋ชจ๋‘์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.
  • ๋ฐฑ๋ถ„์œจ์ด ๋†’์„์ˆ˜๋ก ํ”„๋กœํ•„์ด ์ฃผ๋ณ€ ๋ฐ”๊นŒ์ง€ ๋” ํ™•์žฅ๋ฉ๋‹ˆ๋‹ค.
  • ๋ฐฑ๋ถ„์œจ์ด ๋‚ฎ์„์ˆ˜๋ก ๋ธ”๋ก ์ค‘์‹ฌ์— ๊ฐ€๊นŒ์šด ์ปดํŒฉํŠธํ•œ ํ”„๋กœํ•„์ž…๋‹ˆ๋‹ค.

๊ถŒ์žฅ ์‹œ์ž‘ ๊ฐ’: 35โ€“50%.


5. Show Liquidity Profile

๊ทธ๋ฃน: ํ‘œ์‹œ

๊ฐ ๋ธ”๋ก ์˜ค๋ฅธ์ชฝ์˜ ๋ณผ๋ฅจ ๋ถ„ํฌ(์œ ๋™์„ฑ ํ”„๋กœํ•„)์„ ์ผœ๊ฑฐ๋‚˜ ๋•๋‹ˆ๋‹ค.

  • ์ผœ๊ธฐ โœ…
    • ๊ฐ ํ–‰์˜ ๊ธธ์ด๋Š” ํ•ด๋‹น ๊ฐ€๊ฒฉ ์ˆ˜์ค€์—์„œ์˜ ์ƒ๋Œ€ ๊ฑฐ๋ž˜๋Ÿ‰์„ ๋ฐ˜์˜ํ•ฉ๋‹ˆ๋‹ค.
    • ์ƒ‰์ƒ์€ ๋†’์Œ / ํ‰๊ท  / ๋‚ฎ์Œ ๊ฑฐ๋ž˜ ๋…ธ๋“œ๋ฅผ ์ธ์ฝ”๋”ฉํ•ฉ๋‹ˆ๋‹ค.
  • ๋„๊ธฐ โŒ
    • ์‹ฌ๋ฆฌ(ํ™œ์„ฑํ™”๋œ ๊ฒฝ์šฐ)๋งŒ ํ‘œ์‹œ๋˜๊ณ  ์˜ค๋ฅธ์ชฝ์— ๋ณผ๋ฅจ ๋ฐ”๋Š” ํ‘œ์‹œ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.


6. Show Sentiment Profile

๊ทธ๋ฃน: ํ‘œ์‹œ

๊ฐ ๋ธ”๋ก ์™ผ์ชฝ์˜ ์‹ฌ๋ฆฌ ํ”„๋กœํ•„์„ ์ผœ๊ฑฐ๋‚˜ ๋•๋‹ˆ๋‹ค.

  • ์ผœ๊ธฐ โœ…
    • ํ–‰์€ ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ƒ‰์น ๋ฉ๋‹ˆ๋‹ค:
      • ๊ฐ•์„ธ (๋งค์ˆ˜์ž ์šฐ์œ„) โ€“ ์˜ˆ: ์ฒญ๋ก์ƒ‰/๋…น์ƒ‰
      • ์•ฝ์„ธ (๋งค๋„์ž ์šฐ์œ„) โ€“ ์˜ˆ: ๋นจ๊ฐ„์ƒ‰
    • ํ–‰ ๊ธธ์ด๋Š” ์ง€๋ฐฐ๋ ฅ ๊ฐ•๋„๋ฅผ ๋ฐ˜์˜ํ•ฉ๋‹ˆ๋‹ค.
  • ๋„๊ธฐ โŒ
    • ์ˆœ์ˆ˜ ์œ ๋™์„ฑ/๋ณผ๋ฅจ ๋ถ„ํฌ๋งŒ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

์ด ์˜ต์…˜์„ ์‚ฌ์šฉํ•˜๋ฉด ๋‹จ์ˆœํžˆ ์–ด๋””์—์„œ ๊ฑฐ๋ž˜๋Ÿ‰์ด ๋ฐœ์ƒํ–ˆ๋Š”์ง€๋ฟ ์•„๋‹ˆ๋ผ ๋ˆ„๊ฐ€ ํ•ด๋‹น ์ˆ˜์ค€์—์„œ ๋” ํ™œ๋ฐœํ–ˆ๋Š”์ง€๋„ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


7. High Traded Threshold %

๊ทธ๋ฃน: ํ‘œ์‹œ

๊ฐ ๋ธ”๋ก ๋‚ด ๊ณ ๋ณผ๋ฅจ ๋…ธ๋“œ(HVN)์˜ ๊ธฐ์ค€๊ฐ’์„ ์ •์˜ํ•ฉ๋‹ˆ๋‹ค.

  • ๋ธ”๋ก ์ตœ๋Œ€ ํ–‰ ๋ณผ๋ฅจ์˜ %๋กœ ํ‘œํ˜„๋ฉ๋‹ˆ๋‹ค.
  • ์˜ˆ: ์ตœ๋Œ€ ํ–‰ ๋ณผ๋ฅจ = 10,000; ์ž„๊ณ„๊ฐ’ = 70% โ†’ 7,000 ์ด์ƒ์ธ ํ–‰์€ HVN์œผ๋กœ ๊ฐ„์ฃผ๋ฉ๋‹ˆ๋‹ค.

HVN์€ ์ข…์ข… ๋‹ค์Œ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค:

  • ๊ฐ€์น˜ ์˜์—ญ,
  • ํ†ตํ•ฉ ๊ตฌ์—ญ,
  • ๊ฐ•ํ•œ ํฌ์ง€์…”๋‹ / ๊ณต์ • ๊ฐ€์น˜ ์˜์—ญ.


8. Low Traded Threshold %

๊ทธ๋ฃน: ํ‘œ์‹œ

๋ธ”๋ก ์ตœ๋Œ€ ๋ณผ๋ฅจ ๋Œ€๋น„ ์ €๋ณผ๋ฅจ ๋…ธ๋“œ(LVN)์˜ ๊ธฐ์ค€๊ฐ’์„ ์ •์˜ํ•ฉ๋‹ˆ๋‹ค.

  • ์ด ๋ฐฑ๋ถ„์œจ ์ดํ•˜์˜ ๋ณผ๋ฅจ์„ ๊ฐ€์ง„ ํ–‰์€ ๋‚ฎ์€ ํ™œ๋™ ๊ตฌ์—ญ์œผ๋กœ ๊ฐ„์ฃผ๋ฉ๋‹ˆ๋‹ค.
  • ์ด๋“ค์€ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์—ญํ• ์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:
    • ์–‡์€ ์œ ๋™์„ฑ ๊ตฌ์—ญ,
    • ์ž ์žฌ์  ๊ฑฐ๋ถ€ ์ˆ˜์ค€,
    • ๋˜๋Š” ๊ฐ€๊ฒฉ์ด ๋น ๋ฅด๊ฒŒ ํ†ต๊ณผํ•˜๋Š” ๊ตฌ์—ญ.

์ผ๋ฐ˜์ ์ธ ์‚ฌ์šฉ ๋ฒ”์œ„: 15โ€“30%.


9. Show Level of Significance (POC)

๊ทธ๋ฃน: ํ‘œ์‹œ

๊ฐ€์žฅ ์ตœ๊ทผ ๋ธ”๋ก์˜ ์ค‘์‹ฌ ๊ฐ€๊ฒฉ๋Œ€(POC)๋ฅผ ํ‘œ์‹œํ•˜๊ฑฐ๋‚˜ ์ˆจ๊น๋‹ˆ๋‹ค.

  • POC = ํ•ด๋‹น ๋ธ”๋ก์—์„œ ๊ฐ€์žฅ ๋งŽ์ด ๊ฑฐ๋ž˜๋œ ๊ฐ€๊ฒฉ ํ–‰์ž…๋‹ˆ๋‹ค.
  • ํ•ด๋‹น ๊ฐ€๊ฒฉ์— ์ˆ˜ํ‰์„ ์œผ๋กœ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. ๐ŸŽฏ

์œ ์šฉํ•œ ์šฉ๋„:

  • ํ‰๊ท  ํšŒ๊ท€ ์ฐธ์กฐ,
  • ์ผ์ค‘ โ€œ๊ณต์ • ๊ฐ€๊ฒฉโ€ ๊ธฐ์ค€์ ,
  • ๋˜๋Š” ๊ฑฐ๋ž˜ ๊ด€๋ฆฌ์˜ ํ•ต์‹ฌ ์ˆ˜์ค€.


10. Show Profile Price Levels

๊ทธ๋ฃน: ํ‘œ์‹œ

๋‹ค์Œ์— ๋Œ€ํ•œ ํ…์ŠคํŠธ ๋ ˆ์ด๋ธ”์„ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค:

  • ํ”„๋กœํ•„ ์ตœ๊ณ ๊ฐ€ (PH) โ€“ ๋ธ”๋ก ๋‚ด ๋„๋‹ฌํ•œ ์ตœ๊ณ  ๊ฐ€๊ฒฉ
  • ํ”„๋กœํ•„ ์ตœ์ €๊ฐ€ (PL) โ€“ ๋ธ”๋ก ๋‚ด ๋„๋‹ฌํ•œ ์ตœ์ € ๊ฐ€๊ฒฉ

๊ฐ€์žฅ ์ตœ๊ทผ ๋ธ”๋ก์— ๋Œ€ํ•ด ๋ ˆ์ด๋ธ”์ด ํ‘œ์‹œ๋˜๋ฉฐ ์ •ํ™•ํ•œ ๊ฐ€๊ฒฉ ๊ฐ’์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.

๋‹ค์Œ์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค:

  • ํ˜„์žฌ ๋ฒ”์œ„๋ฅผ ๋น ๋ฅด๊ฒŒ ์ฝ๊ธฐ,
  • PH/PL ์ฃผ๋ณ€์— ์Šคํ†ฑ/๋ชฉํ‘œ ์„ค์ •,
  • ๋ŒํŒŒ ๋˜๋Š” ํšŒ์ „์˜ ๋งฅ๋ฝ ์ œ๊ณต.


11. Profile Range Background

๊ทธ๋ฃน: ํ‘œ์‹œ

๊ฐ ๋ธ”๋ก์˜ ๋‹ค์Œ์„ ๋ฎ๋Š” ๋ฐ˜ํˆฌ๋ช… ๋ฐฐ๊ฒฝ ์‚ฌ๊ฐํ˜•์„ ๊ทธ๋ฆฝ๋‹ˆ๋‹ค:

  • ์‹œ๊ฐ„ ๋ฒ”์œ„ (์‹œ์ž‘๋ถ€ํ„ฐ ์ข…๋ฃŒ ๋ฐ”๊นŒ์ง€)
  • ๊ฐ€๊ฒฉ ๋ฒ”์œ„ (์ตœ์ €๊ฐ€๋ถ€ํ„ฐ ์ตœ๊ณ ๊ฐ€๊นŒ์ง€)

์ด๊ฒƒ์€ ๋ธ”๋ก์„ ์‹œ๊ฐ์ ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜๊ณ  ๊ฐ ๋ฒ”์œ„๋ฅผ ๋‹๋ณด์ด๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค.
๋” ๊น”๋”ํ•˜๊ณ  ๋ฏธ๋‹ˆ๋ฉ€ํ•œ ์‹œ๊ฐ์„ ์›ํ•˜๋ฉด ๋น„ํ™œ์„ฑํ™”ํ•˜์„ธ์š”.


12. Bars Opacity %

๊ทธ๋ฃน: ํ‘œ์‹œ

์‚ฌ๊ฐํ˜•(์œ ๋™์„ฑ ๋ฐ ์‹ฌ๋ฆฌ ๋ฐ” ๋ชจ๋‘)์˜ ํˆฌ๋ช…๋„ ๋˜๋Š” ์„ ๋ช…๋„๋ฅผ ์ œ์–ดํ•ฉ๋‹ˆ๋‹ค.

  • 20โ€“40% โ†’ ๋งค์šฐ ์—ฐํ•˜๊ณ  ๋ฐฐ๊ฒฝ ์Šคํƒ€์ผ
  • 50โ€“70% โ†’ ๊ท ํ˜• ์žกํžŒ ๊ฐ€์‹œ์„ฑ, ์บ”๋“ค์€ ์—ฌ์ „ํžˆ ์ž˜ ๋ณด์ž„
  • 80โ€“100% โ†’ ๊ฐ•ํ•˜๊ณ  ๊ฑฐ์˜ ๋ถˆํˆฌ๋ช…ํ•œ ๋ธ”๋ก

๋‚ด๋ถ€์ ์œผ๋กœ ์ด ๊ฐ’์€ ๋ฐ” ์ƒ‰์ƒ์˜ ์•ŒํŒŒ ์ฑ„๋„(0โ€“255)๋กœ ๋ณ€ํ™˜๋ฉ๋‹ˆ๋‹ค.


์ถ”์ฒœ ์‹œ์ž‘ ํ…œํ”Œ๋ฆฟ โญ

์ง€์ˆ˜ / ์„ ๋ฌผ ์ผ์ค‘ (M5โ€“M15)์šฉ:

  • Bars In Profile: 80โ€“120
  • Blocks To Show: 2โ€“3
  • Number of Rows: ~20
  • Profile Width %: 35โ€“45
  • Show Liquidity Profile: true
  • Show Sentiment Profile: true
  • Bars Opacity %: 50โ€“65

์š”์•ฝ

AI ์š”์•ฝ
Deep Mood Distribution (DMD) is a segmented volume-profile and sentiment indicator designed for detailed market analysis. It divides price action into fixed blocks of bars, constructing separate liquidity and sentiment profiles for each segment. This approach enables users to visually compare how volume distribution and market mood evolve over time.
Key features include:
- Liquidity Profile (right side): Displays trading volume concentration at each price level within a block, highlighting high-volume nodes (HVNs), low-volume nodes (LVNs), and average-volume nodes. Bar length corresponds to relative traded volume, and colors indicate volume intensity.
- Sentiment Profile (left side): Shows buyer vs. seller dominance per price level, calculated as twice the bullish volume minus total volume. Positive values indicate buy-side control; negative values indicate sell-side control. Bar length reflects the strength of dominance, with color coding for bullish (green/teal) and bearish (red) sentiment.
- Configurable parameters: number of bars per profile block, number of blocks displayed, vertical resolution (rows), profile width, opacity, and thresholds for defining HVNs and LVNs.
- Additional display options: Point of Control (POC) line for highest volume price in the latest block, profile high/low price labels, and background shading for block ranges.
DMD supports analysis across various markets including indices, commodities, forex, and cryptocurrencies, facilitating identification of trading activity concentration, liquidity zones, and market sentiment shifts within customizable timeframes.
์ง€ํ‘œ ํ”„๋กœํ•„

๊ณ ๊ฐ ๋ฆฌ๋ทฐ

4.0
๋ฆฌ๋ทฐ: 1
5
0 %
4
100 %
3
0 %
2
0 %
1
0 %
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
November 5, 2025
Not bad if the rules are already clear. 2 sessions is the line to watch.

์ƒ๋‹ด

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You can use the cTrader Pivot Points Pro indicator to find a good pullback entry in a trend
"Titan Pro" ๋กœ๊ณ 
์ธ๊ธฐ
4.5
(2)
$19
์ง€ํ‘œ
ATR
MACD
+15
Professional trading indicator: 5 cloud types, 9 ML engines, SMC Order Blocks, Pandas-TA & live dashboard.
์ง€ํ‘œ
ADX
ATR
+2
Quantum Breakout Pro Professional Breakout Indicator for cTrader
์ง€ํ‘œ
SMC
Prop
+13
Perfect for traders who demand a clear overview of multiple timeframes at a glance.
์ง€ํ‘œ
Forex
BTCUSD
+5
INDICATOR,LIQUIDITY POOLS,ACCURATE SIGNAL, NO DELAY,80% PROBABILITY
์ง€ํ‘œ
VWAP
Forex
+12
Unlock VWAP in cTrader! Choose anchor periods, price sources, and display deviation bands with real-time tick updates.
์ง€ํ‘œ
BOS
MSS
+3
Orderblocks with Multi-Timeframe.
์ง€ํ‘œ
SMA
Volume
+3
Quadruple Stochastic Alignment Indicator
์ง€ํ‘œ
Prop
Forex
+12
A clean, real-time risk HUD designed to prevent prop firm account failure and protect your challenge account.
์ง€ํ‘œ
๐Ÿ“Š Smart Floating Risk Pro โ€“ Advanced Risk Management for cTrader
์ง€ํ‘œ
ATR
Market Structure
Adaptive multi timeframe market condition analyzer that identifies the most tradeable timeframe.
"Trend Sniper" ๋กœ๊ณ 
์ธ๊ธฐ
4.5
(2)
$19
/
$29
์ง€ํ‘œ
Prop
Forex
+9
Trend Sniper โ€” session-based tool highlighting live session ranges and adaptive Custom line.
"SmartFibonacci" ๋กœ๊ณ 
์ธ๊ธฐ
5.0
(2)
$19
/
$30
์ง€ํ‘œ
SmartFibonacci โ€” automatic Fibonacci retracements & extensions with swing detection, alerts and clean labels for cTrader
์ง€ํ‘œ
Moving Average
An Indicator made for scalping. Shows you the Sniper movement on Chart with the colour signals.
์ง€ํ‘œ
AI-assisted
Order Block
+5
The daily bias estimator indicator uses ICT concepts to show whether the chart is bullish or bearish on multi-time frame

๊ฐ€๊ฒฉ

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๊ฑฐ๋ž˜๋Ÿ‰
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