Stock Valuation Based on Deep Learning: 165% Return In 90 Days

Stock Valuation

Package Name: International Stocks
Forecast Length: 3 Months (06/10/2016 – 09/10/2016)
I Know First Average: 36.73%

Stock Valuation

For this 90 day time period the algorithm correctly predicted 10 out of 10 stock returns. The highest return had come from Gol Linhas Aereas Inteligentes SA (GOL), with a return of 165%. Additional notable returns had come from Gerdau SA (ADR) (GGB) and Petroleo Br Sp ADR (PBR) at 54.71% and 38.03%, respectively. The package’s overall average return was 36.73% over the SP500’s return of -0.58%, during the same period.

GOL Linhas Aéreas Inteligentes S.A. (GOL), through its subsidiaries, provides regular and non-regular air transportation services for passengers, cargoes, and mailbags in South America and the Caribbean.

How to interpret this diagram:

Algorithmic Stock Forecast: The table on the left is the stock forecast produced by I Know First’s algorithm. Each day, subscribers receive forecasts for six different time horizons. The top ten stocks in the 1-month forecast may be different than those in the 1-year forecast. In the included table, only the relevant tickers have been included. A green box represents a positive forecast, while a red represents a negative forecast. The boxes are then arranged according to their respective signal and predictability values (see below for detailed definitions).

Forecast Performance:The table on the right compares the actual stock performance with I Know First’s prediction. The column titled “Forecast” shows which direction the algorithm predicted, and the column “% Change” shows the actual stock performance over the indicated time period. The “Accuracy” column shows a “√” if the algorithm correctly predicted the direction of the stock or an “x” if the forecast was incorrect. The I Know First Average is the equal-weights average percent change of the stocks listed below, and the S&P 500 may be included for reference if relevant.

Signal: This indicator represents the predicted movement direction/trend; not a percentage or specific target price. The signal strength indicates how much the current price deviates from what the system considers an equilibrium or “fair” price.

Predictability: This value is obtained by calculating the correlation between the current prediction and the actual asset movement for each discrete time period. The algorithm then averages the results of all the prediction points, while giving more weight to recent performance. As the machine keeps learning, the values of P generally increase.

The Algorithm: The system is a predictive algorithm that is based on Artificial Intelligence (AI), Machine Learning (ML), and incorporating elements of Artificial Neural Networks and Genetic Algorithms. The system’s predictive analytics are self-updating, and thus live. The algorithm is a powerful resource for any investor conducting black-box trading or algotrading. 

Please note-for trading decisions use the most recent forecast. Get today’s forecast and Top stock picks.