Quick Win Stock Prediction: Travel Site Giant PCLN Shows Sustained Growth

Quick Win By The Algorithm

On June 24th, 2016, I Know First algorithm issued a bullish forecast for PCLN, with a signal of 1194.46 and a predictability factor of 0.71. This past year’s returns confirmed the algorithm prediction as the stock price went up by 34.82%.


PCLN is the world leader in online travel and related services provided to customers and partners in over 220 countries through six primary brands – Booking.compriceline.com, KAYAKagoda.comrentalcars.com, and OpenTable.


10 Best Tech Stocks

In 2016 PCLN achieved outstanding results continuing on the positive trend in the past few years. Gross profit and EBITDA grew by 20.1% and 19.1% respectively . Booking.com, the largest PCLN brand, drove growth, with room reservations increasing by 29%.

This positive trend persisting through the years is the result of a number of different factors: the shift of travel reservations from offline to online, the spreading of mobile devices, the overall growth of travel from emerging markets such as South-America and the Asia-Pacific and the continuous improvements in costumer experience that PCLN tries to implement through different innovative solutions.

The substantial majority of PCLN profits come from outside of the US. This will likely continue to be the case in the future as firm’s representative are confident that there’s still much room for growth.

Concerns for future performance come from uncertainties in the global economy outlook.  Perhaps, they will affect PLCN’s growth. Furthermore, increasing competition from companies, such as Google and Facebook which have access to large amounts of data, could be a factor.

This forecast on PCLN  was sent to current I Know First subscribers on June 24th, 2017. 

Before making any trading decisions, consult the latest forecast as the algorithm updates predictions daily. You can use the algorithm for intra-day trading. The predictability tends to become stronger with forecasts over longer time-horizons such as the 1-month, 3-month and 1-year forecasts.