✅ 智能选券:机器学习算法在线训练最优投资组合。
✅ 稳健收益:平衡债性和股性,攻守兼备,收益更稳定。
✅ 低风险:严格风控,分散投资,最大持有15只可转债,降低市场波动影响。
✅ 智能选券:机器学习算法在线训练最优投资组合。
✅ 稳健收益:平衡债性和股性,攻守兼备,收益更稳定。
✅ 低风险:严格风控,分散投资,最大持有15只可转债,降低市场波动影响。
The proposed intelligent trading strategy for convertible bonds focuses on three key aspects:
Smart Selection: It utilizes machine learning algorithms to continuously train and optimize the investment portfolio, ensuring that only the most suitable securities are chosen for investment.
Consistent Returns: This strategy aims for a balanced mix of bond characteristics (the debt side) and equity characteristics (the stock side), which helps in maintaining stability of returns while offering growth potential.
Reduced Risk: It employs strict risk management practices, diversifies investments, and limits the holding to no more than 15 convertible bonds at any given time. This approach is designed to minimize the impact of market volatility on performance.
The strategy has been tested through backtesting simulations (depicted in the image), which shows its ability to generate active returns while maintaining a stable profit rate over different market conditions, as well as its capability to adapt and perform well under various style factors compared to benchmarks. This results in a robust, diversified, and risk-managed investment approach suitable for those seeking steady returns with lower risk exposure.