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์„ค๋ช…

MACRO ZERO โ€” ๋ถ„๊ธฐ ๋ฐ ์ฃผ๊ฐ„ ์„ธ์…˜ MACRO ZERO Suite์˜ ์ผ๋ถ€

๊ณผ๊ฑฐ ํŽธํ–ฅ ๋ฐ์ดํ„ฐ์™€ ์‹ค์‹œ๊ฐ„ ์ฃผ๊ฐ„ ๋‚ด ์ถ”์ ์„ ํ†ตํ•ด ์—ฌ๋Ÿฌ ์ƒํ’ˆ์˜ ๋ถ„๊ธฐ๋ณ„ ์ฃผ๊ธฐ ๋ฐ ์ฃผ๊ฐ„ ๊ณ„์ ˆ์„ฑ ํŒจํ„ด์„ ๋ถ„์„ํ•˜์—ฌ ๋งคํฌ๋กœ ์ˆ˜์ค€์˜ ๊ฑฐ๋ž˜ ๊ฒฐ์ •์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.


๊ธฐ๋Šฅ

์ฐจํŠธ์— ์ „์ฒด ๊ณ„์ ˆ์„ฑ ๋ถ„์„ ๋Œ€์‹œ๋ณด๋“œ๋ฅผ ํ‘œ์‹œํ•˜๋ฉฐ, ์—ฐ๋„๋ฅผ 4๋ถ„๊ธฐ์™€ 52์ฃผ๋กœ ๋‚˜๋ˆ„์–ด ๊ฐ ๊ธฐ๊ฐ„๋ณ„ ๊ณผ๊ฑฐ ๋ฐฉํ–ฅ์„ฑ ํŽธํ–ฅ, ์Šน๋ฅ , ํ‰๊ท  ์ˆ˜์ต๋ฅ  ๋ฐ ๋‹จ๊ณ„ ๋ถ„๋ฅ˜๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. cBot์€ ํ˜„์žฌ ๋ถ„๊ธฐ์™€ ์ฃผ๋ฅผ ์ž๋™์œผ๋กœ ์‹๋ณ„ํ•˜๋ฉฐ ์ตœ๋Œ€ 14๊ฐœ์˜ ๊ตฌ์„ฑ ๊ฐ€๋Šฅํ•œ ์‹ฌ๋ณผ์— ๋Œ€ํ•ด ๋™์ผ ๊ธฐ๊ฐ„์˜ ๊ณผ๊ฑฐ ์„ฑ๊ณผ๋ฅผ ๋‹จ์ผ ๋ทฐ์—์„œ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ ๋ฐ์ดํ„ฐ ๊ฐ€์šฉ์„ฑ์€ ๋ธŒ๋กœ์ปค์— ๋”ฐ๋ผ ๋‹ค๋ฅด๋ฉฐ ์„ค์ •์—์„œ 3๋…„์—์„œ 20๋…„๊นŒ์ง€ ์กฐํšŒ ๊ธฐ๊ฐ„์„ ๊ตฌ์„ฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‹ฌ๋ณผ ๋ฒ”์œ„

์™ธํ™˜, ์›์ž์žฌ, ์ง€์ˆ˜, ์•”ํ˜ธํ™”ํ๋ฅผ ํฌํ•จํ•œ ์ตœ๋Œ€ 14๊ฐœ์˜ ์™„์ „ ๊ตฌ์„ฑ ๊ฐ€๋Šฅํ•œ ์ƒํ’ˆ์„ ๋ชจ๋‹ˆํ„ฐ๋งํ•ฉ๋‹ˆ๋‹ค. ๋ธŒ๋กœ์ปค ํ”Œ๋žซํผ์— ํ‘œ์‹œ๋œ ๋Œ€๋กœ ์ •ํ™•ํžˆ ์‹ฌ๋ณผ์„ ์ž…๋ ฅํ•˜์„ธ์š” โ€” ๊ฐ€์šฉ์„ฑ์€ ๋ธŒ๋กœ์ปค์— ๋”ฐ๋ผ ๋‹ค๋ฆ…๋‹ˆ๋‹ค. ์ฐพ์„ ์ˆ˜ ์—†๋Š” ์‹ฌ๋ณผ์€ ์ž๋™์œผ๋กœ ๊ฑด๋„ˆ๋œ๋‹ˆ๋‹ค. ๊ธฐ๋ณธ ์Šฌ๋กฏ์—๋Š” XAUUSD, EURUSD, NAS100, BTCUSD ๋“ฑ์ด ์ฐธ์กฐ์šฉ์œผ๋กœ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ฐจํŠธ ๋‚ด ์„ ํƒ๊ธฐ๋ฅผ ์‚ฌ์šฉํ•ด ์‹ฌ๋ณผ ๊ฐ„ ์ฆ‰์‹œ ์ „ํ™˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์•”ํ˜ธํ™”ํ ๋ฐ ๊ธฐํƒ€ 24/7 ์ƒํ’ˆ์€ ์ž๋™์œผ๋กœ ๊ฐ์ง€๋˜๋ฉฐ ์ฃผ๋ง ์„ธ์…˜๋„ ์ถ”์ ๋ฉ๋‹ˆ๋‹ค.

๋ถ„๊ธฐ๋ณ„ ์ฃผ๊ธฐ ๋ถ„์„

๊ฐ ๋ถ„๊ธฐ๋Š” AMDX ๋˜๋Š” XAMD ์ฃผ๊ธฐ ๊ตฌ์กฐ๋กœ ๋ถ„๋ฅ˜๋˜๋ฉฐ, ๊ฐ•์„ธ ๋ฐ ์•ฝ์„ธ ์ฃผ ์ˆ˜, ๋ฐฑ๋ถ„์œจ, ์‹ ๋ขฐ ์ ์ˆ˜๋ฅผ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. 60% ์ด์ƒ์˜ ์ ์ˆ˜๋Š” ํ•ด๋‹น ๋ถ„๊ธฐ์˜ ์˜๋ฏธ ์žˆ๋Š” ๋ฐฉํ–ฅ์„ฑ ๊ฒฝํ–ฅ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.

์ฃผ๊ฐ„ ๊ณ„์ ˆ์„ฑ ์—”์ง„

๊ฐ ์ฃผ ์นด๋“œ์—๋Š” ๋ฐฉํ–ฅ์„ฑ ํŽธํ–ฅ, ํ‰๊ท  ์ˆ˜์ต๋ฅ , ์Šน๋ฅ , ์‹ ๋ขฐ ์ ์ˆ˜, ๋‹จ๊ณ„ ๋ถ„๋ฅ˜, ๋‹จ๊ณ„ ์ ์ˆ˜ ๋ฐ ์ตœ๊ทผ 3๋…„๊ฐ„ ๊ฐœ๋ณ„ ์—ฐ๊ฐ„ ๊ฒฐ๊ณผ๊ฐ€ ํ‘œ์‹œ๋˜์–ด ์ฆ‰๊ฐ์ ์ธ ๊ณผ๊ฑฐ ๋งฅ๋ฝ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. 60% ์ด์ƒ์˜ ์‹ ๋ขฐ ์ ์ˆ˜๋Š” ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉํ–ฅ์„ฑ ๊ฒฝํ–ฅ์„, 80% ์ด์ƒ์€ ๊ฐ•ํ•œ ์—ญ์‚ฌ์  ์ผ๊ด€์„ฑ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ์นด๋“œ๋Š” ๋ถ„๊ธฐ๋ณ„ 2์—ด ์Šคํฌ๋กค ๋ ˆ์ด์•„์›ƒ์œผ๋กœ ๊ตฌ์„ฑ๋˜๋ฉฐ ํ˜„์žฌ ์ฃผ๋Š” ๊ธˆ์ƒ‰์œผ๋กœ ๊ฐ•์กฐ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

๋‹จ๊ณ„ ๊ฐ์ง€

์ฃผ๊ฐ„์€ ๊ฐ€๊ฒฉ ๊ตฌ์กฐ, ๋ฒ”์œ„ ๋ฐ ์ด์ „ ์ฃผ ๋Œ€๋น„ ๊ฑฐ๋ž˜๋Ÿ‰์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ถ•์ , ์กฐ์ž‘, ๋ถ„๋ฐฐ, ์ง€์†, ๋ฐ˜์ „ ๋˜๋Š” ์•Œ ์ˆ˜ ์—†์Œ์œผ๋กœ ์ž๋™ ๋ถ„๋ฅ˜๋ฉ๋‹ˆ๋‹ค.

ํ˜„์žฌ ์ฃผ ์ถ”์ ๊ธฐ

ํ˜„์žฌ ์ฃผ ์ˆ˜์ต๋ฅ ์„ ์„ธ์…˜๋ณ„ ์ƒ‰์ƒ์œผ๋กœ ๊ตฌ๋ถ„ํ•˜์—ฌ ์‹ค์‹œ๊ฐ„ ์ผ๋ณ„ ๋ถ„์„์„ ์ œ๊ณตํ•˜๋ฉฐ ๋งค๋ถ„ ์ƒˆ๋กœ ๊ณ ์นจ๋ฉ๋‹ˆ๋‹ค. ํ‘œ์ค€ ์ƒํ’ˆ์€ ์›”์š”์ผ๋ถ€ํ„ฐ ๊ธˆ์š”์ผ๊นŒ์ง€, 24/7 ์ž์‚ฐ์€ ์ผ์š”์ผ๋ถ€ํ„ฐ ํ† ์š”์ผ๊นŒ์ง€ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

์‹ฌ๋ณผ ๊ฐœ์š” ๋ฐ”

14๊ฐœ ์‹ฌ๋ณผ ๋ชจ๋‘๋ฅผ ๋Œ€ํ™”ํ˜• ์นด๋“œ๋กœ ๋™์‹œ์— ํ‘œ์‹œํ•˜๋ฉฐ ํ˜„์žฌ ์ฃผ ์ˆ˜์ต๋ฅ , ํŽธํ–ฅ, ์‹ ๋ขฐ๋„ ๋ฐ ๋‹จ๊ณ„๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์นด๋“œ ํด๋ฆญ ์‹œ ํ•ด๋‹น ์‹ฌ๋ณผ์˜ ๋Œ€์‹œ๋ณด๋“œ๋กœ ์ฆ‰์‹œ ์ „ํ™˜๋ฉ๋‹ˆ๋‹ค.

๊ธฐ์ˆ  ๋…ธํŠธ

์ตœ๋Œ€ ์•ˆ์ •์„ฑ์„ ์œ„ํ•ด cTrader cBot์œผ๋กœ ๊ตฌ์ถ•๋˜์—ˆ์œผ๋ฉฐ, ์žฌ์—ฐ๊ฒฐ ์‹œ ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•˜๊ณ  ์‹œ๊ฐ„ ํ”„๋ ˆ์ž„ ๋ณ€๊ฒฝ ์‹œ ๋‹ค์‹œ ๋กœ๋“œํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ๊ฑฐ๋ž˜๋ฅผ ์‹คํ–‰ํ•˜์ง€ ์•Š๊ณ  ์ „์ ์œผ๋กœ ์ฐจํŠธ ๋‚ด์—์„œ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. cTrader ํ”Œ๋žซํผ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

์œ„ํ—˜ ๊ณ ์ง€: ๊ธˆ์œต ์ƒํ’ˆ ๊ฑฐ๋ž˜๋Š” ์ƒ๋‹นํ•œ ์†์‹ค ์œ„ํ—˜์„ ์ˆ˜๋ฐ˜ํ•ฉ๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ ๊ณ„์ ˆ์„ฑ ํŒจํ„ด์ด ๋ฏธ๋ž˜ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์žฅํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ๋„๊ตฌ๋Š” ๋ถ„์„ ๋ชฉ์ ์œผ๋กœ๋งŒ ์ œ๊ณต๋˜๋ฉฐ ๊ธˆ์œต ์กฐ์–ธ์„ ๊ตฌ์„ฑํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ํ•ญ์ƒ ์ ์ ˆํ•œ ์œ„ํ—˜ ๊ด€๋ฆฌ๋ฅผ ์ ์šฉํ•˜์„ธ์š”.

โš ๏ธ ์œ„ํ—˜ ๊ฒฝ๊ณ : ๊ธˆ์œต ์ƒํ’ˆ ๊ฑฐ๋ž˜๋Š” ์ƒ๋‹นํ•œ ์†์‹ค ์œ„ํ—˜์ด ์žˆ์œผ๋ฉฐ ๋ชจ๋“  ํˆฌ์ž์ž์—๊ฒŒ ์ ํ•ฉํ•˜์ง€ ์•Š์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ณผ๊ฑฐ ์‹ค์ ์€ ๋ฏธ๋ž˜ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์žฅํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ๋„๊ตฌ๋Š” ์ •๋ณด ์ œ๊ณต ๋ฐ ๋ชจ๋‹ˆํ„ฐ๋ง ๋ชฉ์ ์œผ๋กœ ์„ค๊ณ„๋˜์—ˆ์œผ๋ฉฐ ๊ธˆ์œต ์กฐ์–ธ์„ ๊ตฌ์„ฑํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ํ•ญ์ƒ ์ฑ…์ž„๊ฐ ์žˆ๊ฒŒ ๊ฑฐ๋ž˜ํ•˜๊ณ  ๊ฐ๋‹นํ•  ์ˆ˜ ์žˆ๋Š” ์ž๋ณธ๋งŒ ์‚ฌ์šฉํ•˜์„ธ์š”.

์š”์•ฝ

AI ์š”์•ฝ
MACRO ZERO QUARTERS-WEEKLY SESSIONS is a cTrader cBot designed for macro-level trading analysis by examining quarterly cycles and weekly seasonality patterns across multiple financial instruments. It provides a comprehensive seasonal analysis dashboard that divides the year into four quarters and 52 weeks, displaying historical directional bias, win rate, average return, and phase classification for each period. The tool automatically identifies the current quarter and week, comparing them with historical performance across up to 14 configurable symbols, including forex, commodities, indices, and cryptocurrencies.

Key features include quarterly cycle analysis based on AMDX or XAMD structures with confidence scoring, a weekly seasonality engine presenting detailed weekly bias and performance metrics, and automatic phase detection classifying weeks into market phases such as Accumulation or Distribution. A live current week tracker offers daily return breakdowns updated every minute, accommodating both standard and 24/7 trading instruments. An interactive symbol overview bar allows quick switching between monitored instruments.

The cBot runs entirely on-chart without executing trades, maintaining stability across reconnections and timeframe changes. Historical data lookback can be configured between 3 and 20 years depending on broker availability. This tool is intended for analytical purposes and requires the cTrader platform.
ํŠธ๋ ˆ์ด๋”ฉ ํ”„๋กœํ•„

์ƒ๋‹ด

๊ณ ๊ฐ ๋ฆฌ๋ทฐ

5.0
๋ฆฌ๋ทฐ: 1
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100 %
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๊ณ ๊ฐ ๋ฆฌ๋ทฐ
July 2, 2026
A powerful institutional-style seasonality dashboard that combines quarterly cycle analysis, weekly historical statistics, market phase detection, and multi-symbol monitoring into a single analytical workspace. The tool delivers an impressive amount of contextual information and is best suited for experienced discretionary traders and macro market analysts.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ(FAQ)

ADX
Bollinger Bands
Donchian Channels
Volume
Market Structure
ATR
CCI
ํ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.

๊ฐ€๊ฒฉ

13.15M
๊ฑฐ๋ž˜๋Ÿ‰
168.96K
ํ• ์ˆ˜์ต
2
ํŒ๋งค