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: Neutral (Last changed from “bullish” on 15-Nov-2024)*
- Trading model: Bullish (Last changed from “neutral” on 15-Oct-2024)*
Update schedule: I generally update model readings on my site on weekends. I am also on X/Twitter at @humblestudent and on BlueSky at @humblestudent.bsky.social. 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.Crypto leads the stampede
Now that Bitcoin has exceeded the psychologically important 100,000 mark, it is becoming evident that the FOMO risk-on stampede is in full force. The risk-on mood can also be seen in the relative performance of speculative growth stocks, as measured by the Ark Investment ETF (ARKK), which has shown a roughly correlation with Bitcoin. In addition, ARKK has staged an upside breakout from a multi-month base.
Is it too late for traders to hitch a ride on the risk-on train or should they fade the rally? Here are the bull and bear cases.
The full post can be found here.