In this article, I will briefly show how our algorithm has been trading PG (Procter & Gamble) stock in a one-day timeframe over the last 12 weeks, and how it has performed during that period. The algorithm is constantly being tweaked and improved as the market conditions change. This allows the algorithm to remain effective and produce consistent results.
This week we are going to see the results of SlothTrading’s algorithm on PG (Procter & Gamble). We will continue to monitor the algorithm’s performance and will keep you updated on its progress. Thank you for your interest in our product. The algorithm is able to take advantage of the market conditions and generate a profit. The algorithm is able to take advantage of the market conditions and generate a profit.
As you can see on the graph down below, the investment made 12 weeks ago has made 2% profit (this means that an initial investment of $1,000, after 12 weeks of trading resulted in $1,021), being a good result.
The binary accuracy of the forecasts was 55% (3 points above the target value of 52%), and out of the twelve weeks of analyzed data, on six weeks we did not reach the target of 52% of accuracy.
We are working to improve our forecasting methods to meet our target for accuracy more consistently.
This information is shown in the following graph.
The average percentage of opened positions compared to the possible positions that could be opened (one every hour, when the market is open) is 57%, giving a Spearman’s correlation coefficient with weekly profits of 0.97. This means that our system only opens a position when a certain confidence threshold is reached.