Why this AI bull is nothing like the NASDAQ in 2000

Preface: Explaining our market timing models 

We maintain several market timing models, each with differing time horizons. The "Ultimate Market Timing Model" is a long-term market timing model based on the research outlined in our post, Building the ultimate market timing model. This model tends to generate only a handful of signals each decade.

The Trend Asset Allocation Model is an asset allocation model that applies trend-following principles based on the inputs of global stock and commodity prices. This model has a shorter time horizon and tends to turn over about 4-6 times a year. The performance and full details of a model portfolio based on the out-of-sample signals of the Trend Model can be found here.

My inner trader uses a trading model, which is a blend of price momentum (is the Trend Model becoming more bullish, or bearish?) and overbought/oversold extremes (don't buy if the trend is overbought, and vice versa). Subscribers receive real-time alerts of model changes, and a hypothetical trading record of the email alerts is updated weekly here. The hypothetical trading record of the trading model of the real-time alerts that began in March 2016 is shown below.

The latest signals of each model are as follows:

• Ultimate market timing model: Buy equities (Last changed from “sell” on 28-Jul-2023)*
• Trend Model signal: Bullish (Last changed from “neutral” on 28-Jul-2023)*
• Trading model: Neutral (Last changed from “bullish” on 24-Jan-2024)*

* The performance chart and model readings have been delayed by a week out of respect to our paying subscribers.

Update schedule: I generally update model readings on my site on weekends. I am also on X/Twitter at @humblestudent. Subscribers receive real-time alerts of trading model changes, and a hypothetical trading record of those email alerts is shown here.

Subscribers can access the latest signal in real time here.

Priced to the point of insanity?

You may have seen the charts of the relative performance of the NASDAQ 100 to S&P 500. The ratio has already exceeded the dot-com peak in 2000. In addition, NYU professor Aswath Damodaran, who is regarded as the dean of company valuations, went on CNBC to say that Nvidia is priced “to the point of insanity”, while the other Magnificent Seven stocks are roughly fairly priced.

 
While the latest AI-driven mania may seem stretched by historical standards, we would argue that it has a lot further to run before the AI bull is done.
 

The full post can be found here.