The Option Alpha Podcast Kirk Du Plessis

Show Notes: https://optionalpha.com/show232

Navigating options expiration is a critical skill for traders, especially with the rise of daily expirations.
This week’s podcast explores the top 7 automated tips and tricks you can use inside Option Alpha to set up your portfolio for better options expiration management.
See all 7 tips here
Adjust exit options as you near expirationCheck the extrinsic value of your positions/legsCheck the probability of short legs being ITMDon’t use market orders, use defined limit ordersTag positions for their state so you can analyze performance laterSetup alerts for low liquidity exit conditionsSetup ‘critical’ alerts for positions between strikes of a spread

Show Notes: https://optionalpha.com/show231

This week we explore the latest and most pressing challenges emerging for investors who have embraced autotrading.

As automation revolutionizes the financial markets, traders find themselves navigating uncharted psychological territory. From trusting bots and algorithms, coping with reduced decision-making control, and the novel complexities of autotrading that demand a new style of adaptation and resilience.

With help from our team, I’ll peel back the proverbial onion on the evolving mindset of options traders and shed some light on these new psychological challenges popping up.

See the full list here
Obsessive-Compulsive Overriding (OCO)Strategy StraitjacketingCurrent Events FallacySweeping Conclusion AnxietyShiny Object Syndrome FreezeBot ScapegoatingFeature CreepEmotional HedgingVersion Control DisorderIdentity Panic Disorder

Show Notes: https://optionalpha.com/show230

This week I explore a deep and philosophical viewpoint into the world of automated trading and its inevitable rise for investors. I explore the evolutionary nature of human decision-making and its limitations in complex financial markets by examining cognitive biases and their impact on manual trading.

I’ll also discuss the technological advancements driving this shift, risk management in autotrading, and the future trends and challenges in this rapidly evolving landscape. Get ready for a fresh perspective on the future of investing and why autotrading is poised to dominate.

These are my 9 key takeaways

AI is the hot new buzzword these days, sparked by the release of ChatGPT a few months ago. Since then, it seems everyone has used OpenAI’s software in fascinating (and sometimes scary) ways.

So, I jumped into ChatGPT and asked it to come up with the top questions that new and advanced traders ask about options trading.  This week's podcast explores the 15 questions - and answers - that options trades want to know.

See all 15 answers here
What are options and how do they work?How much money do I need to get started in options trading?How do I select the best options trading strategy?What are the key components of an options contract?What is the difference between a call option and a put option?What is the difference between buying and selling an option?How do I determine the strike price for an options contract?What is implied volatility and how does it impact options trading?What are the risks involved in options trading?What are the different options trading strategies I can use?How do I calculate profit and loss for an options trade?How do I manage risk in my options trading portfolio?Should I use technical analysis to inform my options trading decisions?Can you use charts and graphs to trades options?What are some common mistakes to avoid when trading options?

How long does it take a stock to get back to even after a large daily move down? And does the magnitude impact how long it takes the position to recover the loss?

We’ve all been in losing trades and wondered if we should hang on to the position for a little longer or cut it loose. So, to help answer the question, we studied the short-term performance of stocks and ETFs after different daily loss totals.

The study analyzed 324 assets over a 20-year period. We calculated the 5-day returns following single-day losses up to 5%.

See the full research report here.

Stocks have been described as a rubber band, and we often assume they will snap back and revert when prices become overextended.

So, we wanted to know: How likely is a security to continue or reverse its momentum above and below major moving averages in short, medium, and long-term timeframes? And does the security’s proximity to a moving average impact its performance?

We researched 20 years of data on 286 symbols, using short, mid, and long-term trends to analyze the ticker’s 30-day return relative to its simple moving averages.

I'll be honest, the results surprised me.

Click here to see the full research report.