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We’ve massively expanded FinBrain’s market coverage

Staying on top of fast-moving markets demands breadth, depth, and speed. FinBrain has long delivered daily stock forecasts and alternative datasets for 10,000+ assets. Today, we’re excited to share that our coverage has grown to 25,000+ tickers across 20 markets — spanning U.S.… Read the rest
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Major Update: Introducing Forecast Confidence Intervals

We are thrilled to announce an exciting upgrade to our prediction algorithms on FinBrain Terminal! Our new model now provides confidence intervals alongside the mean price predictions, adding more depth and accuracy to your trading decisions. What’s new? 95% Confidence Intervals: We have integrated 95% confidence intervals for all tickers under US & World stock…
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Predictive Performance of AI Algorithms in Stock Forecasting: A Case Study on NextEra Energy (NEE)

Introduction In the dynamic world of stock trading, the NEE stock forecast has become a focal point for investors seeking to leverage advanced analytics. NextEra Energy, a leading entity in the energy sector, presents an intriguing case study for examining the efficacy of AI algorithms and alternative datasets in predicting stock performance.… Read the rest
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Forecasting NKE Stock Price Using AI and Alternative Data in Combination

Introduction In the dynamic world of stock market, the ability to forecast stock prices is a lucrative but complex endeavor. Various tools and data have been used historically, yet the advent of Artificial Intelligence (AI) has revolutionized the prediction game, making it a bit less of a guessing game.… Read the rest
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MRNA Stock Forecast Performance of AI and Alternative Data

Introduction In today’s fast-paced financial world, the ability to predict stock movements is invaluable. With the rise of AI and alternative datasets, investors now have powerful tools at their disposal to forecast stock prices with remarkable accuracy. One such case study that showcases this predictive prowess is the MRNA stock forecast for Moderna Inc.… Read…





