Quick Win by the Algorithm: Lufthansa Continues To Satisfy Investors and Customers Alike

Quick Win by the Algorithm

On March 14th, 2017, the I Know First algorithm issued a bullish forecast for Deutsche Lufthansa AG (LHA.DE). LHA.DE had a signal of 120.16 and a predictability of 0.13. As a result, in accordance with the forecast, the company’s stock increased by 35.84% in just 3 months, showing a quick win by the algorithm.

Deutsche Lufthansa AG is an aviation company. The Company’s segments include; Logistics; maintenance, repair and overhaul services (MRO), Catering and Other. Its Passenger Airline Group segment includes the airlines Lufthansa Passenger Airlines, SWISS, Austrian Airlines and Eurowings. Lufthansa Cargo is the logistics services provider in the Lufthansa Group.



In May of 2017 alone, the Lufthansa Group welcomed approximately 11.6 million passengers. This figure was an increase of 18.7% from the same period last year. With the currency adjusted environment positive, sales increased by 16.2%. Also improving by 2.7% was the seat load factor, rising to 79%.

In an effort to increase customer satisfaction, the Lufthansa Group have enabled secure and simple payments at the check-in counter. “Amadeus Airport Pay,” is available at more that 170 airports world-wide. Customers now have the ability to pay with chip-cards and digital wallets. Most pleasing for customers though, will be the ability to receive compensation payments through these terminals.

The latest news for Deutsche Lufthansa AG is its most recent offering. Shareholders of LHA.DE, have been given the option to receive dividends of EURO 0.50 per share or new shares in the company. The cash payments is expected to amount to roughly EUR 211 million, while it’s expected 1.5 million new shares will be issued.

This bullish forecast on LHA.DE was sent to current I Know First subscribers on March 14th, 2017.

Before making any trading decisions, consult the latest forecast as the algorithm updates predictions daily. You can use the algorithm for intra-day tra

ding. The predictability tends to become stronger with forecasts over longer time-horizons such as the 1-month, 3-month and 1-year forecasts.