English

On Data-Driven Drawdown Control with Restart Mechanism in Trading

Optimization and Control 2024-01-30 v1 Computational Finance Risk Management

Abstract

This paper extends the existing drawdown modulation control policy to include a novel restart mechanism for trading. It is known that the drawdown modulation policy guarantees the maximum percentage drawdown no larger than a prespecified drawdown limit for all time with probability one. However, when the prespecified limit is approaching in practice, such a modulation policy becomes a stop-loss order, which may miss the profitable follow-up opportunities if any. Motivated by this, we add a data-driven restart mechanism into the drawdown modulation trading system to auto-tune the performance. We find that with the restart mechanism, our policy may achieve a superior trading performance to that without the restart, even with a nonzero transaction costs setting. To support our findings, some empirical studies using equity ETF and cryptocurrency with historical price data are provided.

Keywords

Cite

@article{arxiv.2303.02613,
  title  = {On Data-Driven Drawdown Control with Restart Mechanism in Trading},
  author = {Chung-Han Hsieh},
  journal= {arXiv preprint arXiv:2303.02613},
  year   = {2024}
}
R2 v1 2026-06-28T09:01:52.821Z