FreelanceKategorien

Experienced Developer for High-Frequency Trading (HFT) Robot Development

MQL5 Experten Debugging eines Roboters/Indikators Optimierung von Strategien Statistik und Mathematik Sammeln von Daten im Internet

Spezifikation

I am looking for an experienced and skilled developer to design and implement a high-frequency trading (HFT) robot tailored specifically for proprietary trading firm challenges, such as FundedNext and FTMO. The ideal candidate will possess strong technical expertise and a strategic understanding of trading algorithms.

Key Responsibilities:

  • Develop an HFT robot that adheres to the rules and requirements of prop firms (e.g., daily drawdown, maximum loss limits).
  • Implement robust risk management features, including position sizing and drawdown protection.
  • Design and optimize trading strategies, such as scalping, mean reversion, or statistical arbitrage.
  • Integrate low-latency execution capabilities to capitalize on intraday market opportunities.
  • Perform rigorous backtesting and forward testing to ensure strategy reliability.
  • Provide clear documentation and support for customization and maintenance.

Qualifications:

  • Proven experience in developing HFT algorithms or trading systems.
  • Strong programming skills in languages such as MQL (MetaTrader).
  • Familiarity with APIs and trading platforms (e.g., MetaTrader).
  • Understanding of prop firm rules and requirements.
  • Excellent communication and a collaborative approach to problem-solving.

What I Value:

  • Clear communication and transparency throughout the project.
  • A focus on delivering high-quality, efficient, and compliant solutions.
  • Strategic insights into optimizing trading strategies.

If you are passionate about algorithmic trading and have the expertise to create a reliable, rule-compliant HFT robot, I’d love to hear from you. Please share your portfolio, relevant experience, and any previous projects you've worked on.


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Projektdetails

Budget
30 - 80 USD
Ausführungsfristen
bis 10 Tag(e)