Earlier this year we announced our partnership with Wall Street Horizon to highlight how quality alternative data combined with machine learning can make all the difference in the world for deploying successful investment signals. Lucena validated, enhanced, and deployed Wall Street Horizon’s earnings date restatement data.
Today I will be sharing a single example from the long portfolio which highlights how timely entry and exit was achieved for serious alpha. More specifically, Lucena was able to identify optimal conditions for entry and exit based on Wall Street Horizon’s earnings restatement data. The long model portfolio actually looks for companies who shifted their earnings to occur earlier than originally published. In addition, our portfolio mostly focuses on large caps from the S&P.
On July 25th we received a high confidence buy signal for KMX (Carmax Inc.) – see below denoted with the label “Open”. Since Wall Street Horizon’s signals are a few months forward-looking (into earnings season), we kept on getting “Buy” signals during the weeks following the initial buy signal.
As can be seen below, throughout July, August, September and October the portfolio accrued additional shares. In mid-October, we finally received a “Close” signal in which all open positions were closed on October 24th yielding a profit of 18.43%!!
The above example can be attributed to both the Long and the Short Wall Street Horizon portfolios. As they both generated alpha and handsomely beat their respective benchmarks.