J.P. Morgan Says There’s Room for Over 90% Gains in These 2 Stocks

We’ve wrapped up the first week of April, and it feels like the April Fools’ pranks are still with us. Market headwinds have multiplied and receded, all at once.

Covering the macro situation from banking giant JPMorgan, global market strategist Marko Kolanovic writes: “Equities risk-reward is not as poor as it is currently fashionable to believe… While the exogenous geopolitical crisis continues to present a binary set of outcomes, the activity momentum ahead of this shock was resilient, even accelerating, in all key regions. Labor markets are staying very supportive, COVID headwind in DM is ending, and there is a turn for the better in China policy stance.”

Furthermore, “The Fed repricing might be closer to the end, and headline inflation will mechanically peak soon… The start of Fed tightening should not be seen as a negative for stocks, at least not in the early stages. Post the initial volatility, equities tended to make new all-time highs.”

If there’s hope, then there’s reason to invest, and following that line, JPMorgan’s stock analysts have been picking out potential winning equities – in their views, equities that may gain as much 90% from current levels, going forward. We ran the two through TipRanks database to see what other Wall Street’s analysts have to say about them. Here are the details.

Akoya Biosciences (AKYA)

First up, Akoya Biosciences, works in the field of spatial biology, or spatial phenotyping. This is the study of tissue imaging, at the cellular level, while keeping individual cells within their spatial context. These visualizations allow researchers to directly see how cells interact and organize with each other, and how they influence or are influenced by disease progression – or how they respond to therapy. In short, spatial phenotyping promises to bring a higher level of resolution to a clinician’s view.

Akoya offers the medical profession – both the research and clinical sides – a full range of solutions for spatial phenotyping, through three novel platforms: PhenoCycle, PhenoImage Fusion and PhenoImager…


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