Blufx.de and Blufx.co.uk are not related to us.
Please read our FAQ and Disclaimer before proceeding.
BluFX is an algorithm designed to identify trading opportunities without the emotional biases and fatigue that often hinder human traders. It is self-funded by two technologists who utilized quantitative and scientfic methods to obtain trading edge in the complex financial markets.
As such, our algorithm is significantly more precise than manual trading. It analyzes large-scale data sets, recognizes intricate patterns, and pinpoint entry points with higher odds of success. Its calculations involved are far beyond human capacity.
Our trading strategy adheres to these principles:
- Strict risk management: Each trade has predefined stop-loss and take-profit levels.
- Cautious approach: We refrain from trading before high-impact news or during holidays.
- No risky strategies: We avoid martingale strategies and overnight positions.
- Proven performance: In 2024, our system delivered over 10% average weekly returns and a win rate exceeding 60%. Past performance is not indicative of future results.
- Reliable execution: Trades are executed through a Virtual Private Server and our broker, IC Markets.
Many traders have experienced losses due to:
- Psychological factors: Lack of discipline, emotional trading, fear of loss
- Technical factors: Poor risk management, inadequate knowledge of economic events, overtrading
This is why top-tier institutions like Goldman Sachs, Morgan Stanley, Jane Street Capital, Renaissance Technologies, and Citadel are increasingly turning to algorithmic trading. Inspired by their success, we’ve built our own.
(source: https://www.greenwich.com/blog/present-and-future-fx-execution-algorithms)
In 2025, we’ll make our strategy available on IC Social, allowing you to copy our trades for a performance fee. We prioritize growing our own accounts and will limit the number of copiers to 100 to ensure optimal performance. Once this limit is reached, we’ll stop accepting new copiers.
Interested? Click here.