The Option Alpha Podcast Kirk Du Plessis

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.

"The trend is your friend." It’s a popular saying amongst traders, and we hear it all the time. But is there validity in the statement?
We backtested directional option selling strategies with a long-term trend filter to see if there is a significant impact on performance.

We used Option Alpha's backtester to review the data for  SPY, GLD, and TLT short put spreads and short call spreads. Short put spread tests included a filter to only enter trades above the 200-day moving average. Short call spread variants included a filter to only enter trades below the 200-day moving average.
Click here to see the full backtest results.

Important Note: This podcast is for educational purposes only. Past performance does not guarantee future results. This data is presented objectively and is not financial advice or a suggestion to use these strategies. We encourage you to always do your due diligence and test your strategies.

Let's take a closer look at the performance of these strategies using different trend filters. This is a great baseline when considering how to set up your trades, and we hope this inspires you to backtest your ideas for strategy optimization.

This week we take a look at the performance of the Monthly Iron Condors ($3k Portfolio) bot template. You might recall that we previously did a deep dive on this template back on Show 214, walking through the strategy setup, the scanner and monitor automation setups, etc. But now that we’ve had it running for a little over a year, we thought it would be help to take a look at how it has weathered this year’s market volatility and explore possible ways to adjust or improve its performance in the future.
Important Notes: This podcast is purely for educational purposes and my exploration of this bot template is not a recommendation or suggestion to use this strategy as your own. Bot performance does not includes in commissions, which might vary from account to account or broker to broker. We encourage you to always do your own due diligence, factor in your own personal situations, and trade strategies you are comfortable with in your account.
So, let's dive in and look at how this strategy has performed in this year's volatility and explore possible adjustments and future improvements. Ultimately, if nothing else, we hope this example helps give you some ideas to help with your own trading.

Show Notes: https://optionalpha.com/show224

Option spreads are a simple and flexible, yet powerful strategy for traders. And while spread strategies come in many forms, shapes, structures, and durations, some core elements are present in spread trading generally that new traders should pay attention to. On this week's show, we'll once again slow things down a bit and focus on understanding what option spreads are and how to trade spreads in your portfolio.

Show Notes: https://optionalpha.com/show223

What if you could build an automated strategy that navigates all market conditions? And while we know there is no one-size-fits-all strategy, we believe you can design a bot strategy that assesses the market trend and proactively adapts to current conditions. This "trader's dream" finally manifested itself in a bot template that become the collective “brainchild” of the amazing Community of traders right here at Option Alpha! The Hexabot, as it's now lovingly referred to as, was a labor of love, and we are super excited to share it with you. In today’s episode, we introduce you to the Hexabot and share the entire story of it's origin.