EP37. 小秋的選擇權策略Q&A

This podcast episode delves into the world of AI options trading, covering topics such as prediction methods, risk management, and the influence of market events and volatility. The speakers shed light on the use of machine learning models in options trading and stress the need for a neutral trading strategy to mitigate substantial losses. They also address concerns regarding significant losses and market consolidation periods raised by listeners. Additionally, the episode explores stock selection for beginners and the evaluation of target prices, emphasizing the importance of fundamental analysis and value investing principles. The discussion concludes with insights into the role of stock market managers, the refinement of trading approaches, and the prevalence of early selling in investments. Takeaways • AI options trading involves monthly or weekly predictions based on regression and classification techniques. • Adjustments are made to the prediction model based on the latest estimated probabilities. • AI options trading strategy is neutral and avoids significant position sizing to prevent extreme losses. • Safeguards are in place, such as maintaining balanced positions and avoiding high leverage, to mitigate risks in market events. • Long-term consolidation periods can affect the profitability of AI options trading, but the balance between call and put options minimizes the impact. • Newcomers should evaluate stocks based on fundamental analysis, reading books by experienced investors like Buffett and Lynch. • Fundamental investors adjust valuations based on operational performance and hold undervalued stocks. • Trend-following investors focus on short-term gains and may sell stocks before reaching target prices. • Stock market managers play a crucial role in protecting investments during bear markets. • Continuously refine trading approaches and adopt disciplined decision-making processes. • Investors tend to sell stocks too soon, emphasizing the importance of intrinsic value evaluation and discipline. • Utilize statistical analysis to evaluate trading methods and avoid making decisions based on a few trades. • High returns in the stock market require active trading and continuous strategy refinement. • Personal preference determines the use of leverage and position size. • Appreciate the audience's support and express gratitude for their engagement in the podcast.