"OilBrend" ๋กœ๊ณ 
cBot
Pepperstone์—์„œ ํ…Œ์ŠคํŠธํ•จ
๋ฒ„์ „ 1.0, Mar 2026
Windows, Mac, Mobile, Web
4.5
๋ฆฌ๋ทฐ: 2
2.34
์†์ต๋น„
11.32%
์ตœ๋Œ€ ๋‚™ํญ
"OilBrend" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"OilBrend" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
"OilBrend" ์—…๋กœ๋“œ๋œ ์ด๋ฏธ์ง€
๊ฐ€์ž…์ผ 02/03/2026

Strategy Description

This strategy is an intraday algorithmic approach focused on the Brent crude oil market, using a rules-based framework built around price action, volume analysis, and liquidity zones such as the Point of Control (POC).

Its objective is to identify potential continuation opportunities associated with market participation around significant volume areas, while maintaining structured risk controls. The strategy does not seek to predict markets, but to react to predefined conditions when they align.

Methodology

The system monitors the market for:

  • Detection of momentum-driven price movements supported by increased volume activity.
  • Validation of broader market context to align trades with prevailing directional conditions.
  • Observation of pullbacks toward the Point of Control (POC), treated as a potential area of interest.
  • Confirmation through price behavior that the level is being respected before entry.
  • Market execution only after all strategy conditions are met.

Risk Management

Risk is managed through predefined rules, including:

  • Fixed structural Stop Loss placement.
  • Dynamic trade management mechanisms designed to protect unrealized gains when conditions permit.
  • Partial or full exits based on strategy-defined signals and evolving price behavior.

Strategy Characteristics

  • Focus on volume-supported market structures.
  • Rule-based filtering intended to reduce low-conviction setups.
  • Confirmation-driven entries rather than anticipatory execution.
  • Active risk controls designed to manage exposure.

Important Risk Disclosure

Trading leveraged products involves significant risk, including the risk of loss. This strategy does not guarantee profits or protection from losses. Market conditions may change and strategy performance may vary over time. Past performance is not a reliable indicator of future results.

ํŠธ๋ ˆ์ด๋”ฉ ํ”„๋กœํ•„
ํŠธ๋ ˆ์ด๋”ฉ ์Šคํƒ€์ผ
์Šค์œ™ ํŠธ๋ ˆ์ด๋”ฉ
์ „๋žต ์œ ํ˜•
์ถ”์„ธ
๋ถ„์„ ์œ ํ˜•
๊ธฐ์ˆ 
๊ฑฐ๋ž˜ ๋นˆ๋„
์ค‘๊ฐ„
์ตœ์†Œ ๊ถŒ์žฅ ์ž”๊ณ 
$500
๊ฑฐ๋ž˜๋‹น ์œ„ํ—˜
2%
์ฐจํŠธ ๊ธฐ๊ฐ„
5๋ถ„
๋ฐฑํ…Œ์ŠคํŠธ ๋ ˆ๋ฒ„๋ฆฌ์ง€
1:100
์œ„ํ—˜ ๊ด€๋ฆฌ
์œ„ํ—˜ ๋ชจ๋ธ
ํ‰๊ฐ€๊ธˆ ๊ธฐ๋ฐ˜
์ง€์›๋˜๋Š” ์ฃผ๋ฌธ ์œ ํ˜•
์‹œ์žฅ
์ง€์›๋˜๋Š” ์œ„ํ—˜ ํ†ต์ œ
์†์ ˆ๋งค
๋‰ด์Šค ํ•„ํ„ฐ
4.5
๋ฆฌ๋ทฐ: 2
5
50 %
4
50 %
3
0 %
2
0 %
1
0 %
๊ณ ๊ฐ ๋ฆฌ๋ทฐ
April 10, 2026
This feels useful when the setup already has a plan. The main value is running a defined strategy, not chasing every signal that appears. The useful comparison is hit rate versus average R.
April 6, 2026
a decent setup here should survive 30 demo trades without looking messy. A few sessions of data make the result easier to trust.
Commodities
Fair Value Gap
RSI
AI
ํ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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