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.
- Ultimate market timing model: Sell equities (Last changed from “buy” on 26-Mar-2023)*
- Trend Model signal: Neutral (Last changed from “bullish” on 17-Mar-2023)*
- Trading model: Neutral (Last changed from “bearish” on 15-Jun-2023)*
Update schedule: I generally update model readings on my site on weekends. I am also on Twitter at @humblestudent and on Mastodon at @humblestudent@toot.community. 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.
AI mania
These days, it’s difficult to turn on financial TV without mention of artificial intelligence and technology stocks. Indeed, popular AI-related plays like NVDIA and C3.AI have been on a tear.
How sustainable is the move? Let’s examine the technical and fundamental underpinnings.
The full post can be found here.
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