Our model ran all night (about 8 hours) but did not find a very deep mathematical answer.
Flat markets (4.87% ER) => harder to pick stocks.
Best portfolio is 5 stocks, evenly held.
More negative BETA stocks
Gold & USD hedges:
$NEM $AAAU $GOLD $UUP
- US Equity futures slightly green
- Forward-looking CQNS model annual expected return: 4.87%
- Crypto staged a healthy evening recovery
- UST yields & ^VIX unchanged
Our quant model worked overtime, found a shallow mathematical equilibrium (need QC again).
Actually, we really do need to 'dust off' our quantum computing model, our particle swarm optimization model, our simulated bifurcator, and even our greedy solver (steepest gradient descent) since we did not need them to find very deep mathematical equilibrium. When the market has shallow expected returns, the model has to find the best variance-reducing solutions. That takes 'real' computational and solving horsepower. That takes quantum computing from D-Wave Systems.