Data for: 3538891

This research analyzed the effectiveness of Black Swan strategies for the Short-Term Mean-Reversion systems, the risks and rewards profiles of such betting systems based on the S&P500 index. In determining the Black Swan events, the research made use of multiple strategies against two portfolios. By utilizing the python notebooks, signals created by the Black Swan and Bollinger Bands trading strategies were compared for performance against the baseline index (buy-and-hold strategy). This was followed by a validation of how risk mitigation techniques like the stop-loss affect the trading performance. The research concluded that it is possible to construct a Mean-Reverse strategy that outperforms the market over time.

本研究对黑天鹅策略在短期均值回归系统中的有效性进行了分析，并探讨了基于S&P500指数的此类投注系统的风险与回报特征。在确定黑天鹅事件的过程中，研究采用了针对两个投资组合的多种策略。通过使用Python笔记本，对黑天鹅策略和Bollinger Bands交易策略产生的信号与基准指数（买入并持有策略）的性能进行了比较。随后，验证了诸如止损等风险缓解技术对交易表现的影响。研究结论表明，有可能构建一种均值回归策略，该策略在长期内能够超越市场表现。