present
๊ฐ€์ž…ํ•˜๊ณ  ์ฒซ ๊ตฌ๋งค ์‹œ $50 ํ• ์ธ์„ ๋ฐ›์œผ์„ธ์š”
7.1%
ROI
2.33
์†์ต๋น„
19.61%
์ตœ๋Œ€ ๋‚™ํญ
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 2
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 3
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 4
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 5
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 6
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 7
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 8
Trading product for PandaBot_NAS100_Breakout cBot Breakout Indices, image 9
๊ฐ€์ž…์ผ 18/01/2026
51.99M
๊ฑฐ๋ž˜๋Ÿ‰
2.7M
ํ• ์ˆ˜์ต

์„ค๋ช…

PANDA BOT โ€“ NAS100 ๋ŒํŒŒ ์ „๋žต


PandaBot์€ ์›๋ž˜ ๊ฐ„๋‹จํ•œ ์•„์ด๋””์–ด๋ฅผ ์ž๋™ํ™”ํ•˜๊ธฐ ์œ„ํ•œ ๊ฐœ์ธ ๊ฑฐ๋ž˜ ๋„๊ตฌ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค:

์‹œ์žฅ ์ƒํ™ฉ์ด ์œ ๋ฆฌํ•  ๋•Œ๋งŒ ๊ฑฐ๋ž˜๋ฅผ ํ•˜๊ณ , ๋…ธ์ถœ์„ ํ†ต์ œํ•˜๋ฉฐ, ๊ทธ๋ฆฌ๋“œ ์‹œ์Šคํ…œ, ๋งˆํ‹ด๊ฒŒ์ผ ๋˜๋Š” ๋ณต๊ตฌ ๋ฉ”์ปค๋‹ˆ์ฆ˜์— ์˜์กดํ•˜์ง€ ์•Š๊ณ  ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ž๋ณธ์— ๋”ฐ๋ผ ์ผ๊ด€๋˜๊ฒŒ ํฌ์ง€์…˜ ํฌ๊ธฐ๋ฅผ ์กฐ์ ˆํ•ฉ๋‹ˆ๋‹ค.

์ด ์ „๋žต์€ NAS100 (H3 ํƒ€์ž„ํ”„๋ ˆ์ž„)์—์„œ 2023๋…„๋ถ€ํ„ฐ 2026๋…„๊นŒ์ง€ ๋ฐฑํ…Œ์ŠคํŠธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์ด ๊ธฐ๊ฐ„ ์ค‘ ์ตœ๊ทผ 6๊ฐœ์›”์€ ์ „๋žต์ด ์‹ค์‹œ๊ฐ„ ์‹œ์žฅ ๋ฐ์ดํ„ฐ์—์„œ ํฌ์›Œ๋“œ ํ…Œ์ŠคํŠธ ์กฐ๊ฑด์œผ๋กœ๋„ ์‹คํ–‰๋œ ๊ธฐ๊ฐ„๊ณผ ์ผ์น˜ํ•ฉ๋‹ˆ๋‹ค.


์ฐฝ๋ฆฝ์ž ์ถœ์‹œ


PandaBot์€ ํ˜„์žฌ ๋„์ž…๊ธฐ ์ฐฝ๋ฆฝ์ž ๊ฐ€๊ฒฉ์œผ๋กœ ์ œ๊ณต๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

๊ฒ€์ฆ๋œ ๊ณต๊ฐœ ์‹ค์ ์ด ์ค€๋น„ ์ค‘์ด๋ฉฐ, ์‹ค์‹œ๊ฐ„ ํฌ์›Œ๋“œ ๊ฒฐ๊ณผ๊ฐ€ ๊ณ„์† ๋ˆ„์ ๋จ์— ๋”ฐ๋ผ ๊ณต๊ฐœ๋  ์˜ˆ์ •์ž…๋‹ˆ๋‹ค.

์ด ์‹ค์‹œ๊ฐ„ ๋ฐ์ดํ„ฐ๊ฐ€ ๊ณต๊ฐœ๋˜๋ฉด ์ด cBot์˜ ๊ฐ€๊ฒฉ๋„ ๊ทธ์— ๋งž๊ฒŒ ์กฐ์ •๋  ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์ดˆ๊ธฐ ์‚ฌ์šฉ์ž๋“ค์€ ๊ฐ€์žฅ ๋‚ฎ์€ ์ง„์ž…์ ์˜ ํ˜œํƒ์„ ๋ˆ„๋ฆฝ๋‹ˆ๋‹ค.


ํ•˜๋‚˜์˜ ์ „๋žต โ€“ ๋„ค ๊ฐ€์ง€ ์šด์šฉ ์Šคํƒ€์ผ


์ˆ˜์‹ญ ๊ฐœ์˜ ๋‚ด๋ถ€ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ๋…ธ์ถœํ•˜๋Š” ๋Œ€์‹ , PandaBot์€ ๋„ค ๊ฐ€์ง€ ๋‚ด์žฅ ์ž๋ณธ ๋ฐฐ๋ถ„ ํ”„๋กœํ•„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค:


๊ฐ€์กฑ ๋ชจ๋“œ โ€“ ๊ณ ์ • 1๋ž (๋ณด์ˆ˜์ )

๋„์‹œ ๋ชจ๋“œ โ€“ ๊ณ ์ • 10๋ž (์ค‘๊ฐ„)

์Šคํฌ์ธ  ๋ชจ๋“œ โ€“ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ฆ๊ฑฐ๊ธˆ์˜ ์•ฝ 20%๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋™์  ํฌ๊ธฐ ์กฐ์ ˆ

๋ ˆ์ด์Šค ๋ชจ๋“œ โ€“ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ์ฆ๊ฑฐ๊ธˆ์˜ ์•ฝ 30%๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋™์  ํฌ๊ธฐ ์กฐ์ ˆ (๊ณ ์œ„ํ—˜)


๋ชจ๋“  ๋ชจ๋“œ๋Š” ๋™์ผํ•œ ๊ฑฐ๋ž˜ ๋…ผ๋ฆฌ๋ฅผ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

์„ฑ๊ณผ ์ฐจ์ด๋Š” ์ž๋ณธ ๋ฐฐ๋ถ„์—์„œ๋งŒ ๋ฐœ์ƒํ•˜๋ฉฐ, ๊ธฐ๋ณธ ์ „๋žต์„ ์ˆ˜์ •ํ•˜์ง€๋Š” ์•Š์Šต๋‹ˆ๋‹ค.


๊ฑฐ๋ž˜ ๋…ผ๋ฆฌ


PandaBot์€ ๋ŒํŒŒ ๊ธฐ๋ฐ˜ ์ ‘๊ทผ๋ฒ•์„ ์‚ฌ์šฉํ•˜๋ฉฐ ๋‹ค์Œ๊ณผ ๊ฒฐํ•ฉ๋ฉ๋‹ˆ๋‹ค:

โ€ข ๋ณ€๋™์„ฑ ํ•„ํ„ฐ๋ง

โ€ข ATR ๊ธฐ๋ฐ˜ TP/SL

โ€ข ์ƒํ™ฉ๋ณ„ ๊ฑฐ๋ž˜ ํ•„ํ„ฐ


๋‹ค์Œ์€ ์—†์Šต๋‹ˆ๋‹ค:

โ€ข ๋งˆํ‹ด๊ฒŒ์ผ

โ€ข ๊ทธ๋ฆฌ๋“œ ๊ฑฐ๋ž˜

โ€ข ํฌ์ง€์…˜ ํ‰๊ท ํ™”

โ€ข ํ—ค์ง• ๋ณต๊ตฌ ๋…ผ๋ฆฌ


๊ฐ ๊ฑฐ๋ž˜๋Š” ๋…๋ฆฝ์ ์ž…๋‹ˆ๋‹ค.


๋ฐฑํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ


๋ชจ๋“  ๊ณผ๊ฑฐ ํ…Œ์ŠคํŠธ๋Š” NAS100 (H3)์—์„œ ํ‹ฑ ๋‹จ์œ„ ๋ฐ์ดํ„ฐ(๊ณผ๊ฑฐ ๋งค์ˆ˜/๋งค๋„ ๊ฐ€๊ฒฉ)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Fusion Markets ๊ฐ€๊ฒฉ ํ™˜๊ฒฝ ๋‚ด์—์„œ ๊ณ ์ • ์Šคํ”„๋ ˆ๋“œ $0.8 ๋ฐ ์ˆ˜์ˆ˜๋ฃŒ 0์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

2023๋…„๋ถ€ํ„ฐ 2026๋…„๊นŒ์ง€์˜ ํ…Œ์ŠคํŠธ ๊ธฐ๊ฐ„ ์ค‘ ์ตœ๊ทผ ๋ถ€๋ถ„์€ ์ „๋žต์ด ์‹ค์‹œ๊ฐ„ ์‹œ์žฅ ๋ฐ์ดํ„ฐ์—์„œ ํฌ์›Œ๋“œ ํ…Œ์ŠคํŠธ ์กฐ๊ฑด์œผ๋กœ ์‹คํ–‰๋œ ์ง€๋‚œ 6๊ฐœ์›”๊ณผ ๊ฒน์นฉ๋‹ˆ๋‹ค.


์ฐธ๊ณ  ์‚ฌํ•ญ


PandaBot์€ NAS100 (H3) ๋ฐ Fusion Markets์™€ ๊ฐ™์€ ๋‚ฎ์€ ์Šคํ”„๋ ˆ๋“œ ๋ธŒ๋กœ์ปค๋ฅผ ์œ„ํ•ด ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์Šคํฌ์ธ  ๋ฐ ๋ ˆ์ด์Šค์™€ ๊ฐ™์€ ๊ณ ์œ„ํ—˜ ๋ชจ๋“œ๋Š” ์‹œ์žฅ ์ƒํ™ฉ์— ๋”ฐ๋ผ ์ƒ๋‹นํ•œ ์†์‹ค์„ ๊ฒฝํ—˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.


๋ฉด์ฑ… ์กฐํ•ญ


๊ณผ๊ฑฐ ์‹ค์ ์€ ๋ฏธ๋ž˜ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์žฅํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ž๋™ ๊ฑฐ๋ž˜๋Š” ์œ„ํ—˜์„ ์ˆ˜๋ฐ˜ํ•˜๋ฉฐ ์ž๋ณธ์˜ ์ผ๋ถ€ ๋˜๋Š” ์ „๋ถ€ ์†์‹ค์„ ์ดˆ๋ž˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์š”์•ฝ

AI ์š”์•ฝ
PandaBot_NAS100_Breakout is an automated trading bot designed for the NAS100 index on a 3-hour (H3) timeframe. It employs a breakout strategy enhanced with volatility filtering, ATR-based take profit and stop loss levels, and contextual trade filters to identify favorable market conditions. The bot avoids grid systems, martingale, position averaging, and hedging recovery, ensuring each trade is independent.

The bot offers four predefined capital allocation modesโ€”Family (conservative, fixed 1 lot), City (moderate, fixed 10 lots), Sport (dynamic sizing using ~20% of available margin), and Race (high risk, dynamic sizing using ~30% of available margin). These modes adjust position sizing without altering the underlying trading logic.

Backtesting was conducted on tick-by-tick NAS100 data from 2023 to early 2026, including six months of live forward testing under conditions simulating a low-spread broker environment (Fusion Markets). The strategy targets low-spread brokers and is optimized for NAS100 trading. Performance metrics include a profit factor of 2.33 and a maximum drawdown of approximately 19.6%. Users should consider risk levels associated with higher-risk modes. Past performance does not guarantee future results.
ํŠธ๋ ˆ์ด๋”ฉ ํ”„๋กœํ•„

์ƒ๋‹ด

๊ณ ๊ฐ ๋ฆฌ๋ทฐ

4.3
๋ฆฌ๋ทฐ: 3
5
33 %
4
67 %
3
0 %
2
0 %
1
0 %
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
March 11, 2026
Tested like a normal trader would, small size first. The idea is fine, but Does not need to scale it before seeing how it handles bad days. Worth rechecking it on first 60 minutes.
March 7, 2026
fits a trader who wants less noise in the process. The best use is testing continuation after a level break, then leaving the final filter manual.
March 7, 2026
Would not overtrust it, but Does not need to ignore it either. The use case is clear, and it helps if the setup is already disciplined. Light sizing makes the early sample easier to judge.

์ž์ฃผ ๋ฌป๋Š” ์งˆ๋ฌธ(FAQ)

Breakout
Indices
RSI
NAS100
ATR
ํ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 18/01/2026
51.99M
๊ฑฐ๋ž˜๋Ÿ‰
2.7M
ํ• ์ˆ˜์ต