Investing in tech companies was almost too easy for the last ten years: buy a growing company with an innovative model, then sit back and watch the stock grow.
Well, that abruptly changed in 2022. Tech fell out of fashion, business profits became essential, and investors were forced to relearn a constantly-changing market. Difficult times.
That's exactly why we're offering huge Cyber Monday Deals on InvestingProPlus to help you reclaim 2022. InvestingProPlus is the ultimate, all-in-one toolkit that instantly finds hidden tech gems in any kind of market using premium data and essential tools. Even now, InvestingProPlus's Stock Screener has already found dozens of strong companies that stand to thrive in the coming years - and they're all at a special low price.
Packed with premium research tools like fair value, financial health checks and 10 years' worth of company financials, InvestingProPlus makes it easier than ever to find new investment opportunities quickly and easily. So while there's no guarantee the market climate will calm anytime soon, InvestingPro is the best way to find solid companies at a cheap price to help you thrive no matter what the day brings.
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Disclaimer: Fusion Media or anyone involved with Fusion Media will not accept any liability for any trading loss or damage as a result of reliance on the information contained within this email including data, quotes, charts and buy/sell signals. Please be fully informed regarding the risks and costs associated with trading the financial markets, it is one of the riskiest investment forms possible. Fusion Media would like to remind you that the data contained in this email is neither necessarily real-time nor accurate. All stock prices, Indexes, Futures, buy/sell Signals and Forex prices are indicative and not appropriate for trading purposes; furthermore they are not provided by an exchanges but rather by market makers, and so prices may not be accurate and may differ from the actual market price. Fusion Media doesn't bear any responsibility for any trading losses you might incur as a result of using this data.
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