Ford Stock Predictions: An Algorithmic Analysis

Ford Stock Predictions

I Know First supplies financial services, mainly through stock forecasts via their predictive algorithm. The algorithm incorporates a 15-year database, and utilizes it to predict the flow of money across 2000 markets. The self-learning algorithm uses artificial intelligence, predictive models based on artificial neural networks, and genetic algorithms to predict money movements within various markets.

The algorithm produces a forecast with a signal and a predictability indicator. The signal is the number in the middle of the box. The predictability is the number at the bottom of the box. At the top, a specific asset is identified. This format is consistent across all predictions. The middle number is indicative of strength and direction, not a price target. The bottom number, the predictability, signifies a confidence level.

I Know First has had success predicting the movement of Ford’s stock price in the past. In this three-month forecast from January 29th, Ford had a strong Bullish signal strength of 94.79 and a predictability indicator of 0.56. In accordance with the algorithm’s prediction, the stock price increased 10.79%% during that time.

Prediction

I Know First published a bullish article on Ford, the second largest automaker in the US, on Seeking Alpha. Having explained how I Know First’s algorithm works and providing an example of its success in the past, it is worthwhile to see if the algorithm agrees with the bullish fundamental analysis of the company. The three-month and one-year forecasts for Ford are included.

ford stock predictions

Ford is among the top stock picks for both time horizons. The strong, positive signal strengths indicate that the stock is currently undervalued and provide solid upside potential to investors. This is in agreement with the strong bullish fundamental analysis of the company. Sales of the F-150 should increase drastically during the second half of the year, which will cause the stock price to jump. Add in a stronger performance in Europe tied to new cars being introduced in those market, and Ford should see solid gains during the second half of the year.

Positive signal strength does not mean investors should automatically buy the stock. Dr. Roitman, who created the algorithm, created rules for entry for a stock such as Ford. Using this trading strategy, an investor should buy a stock if the last 5 signal strength’s average is positive and if the last closing price is above the 5-day moving average price. When both of these conditions are met, it is a good time to initiate a position in the stock.