Highest App Score Changes for Publicly Traded US Companies under S&P500 Index – Weekly Alternative Data

FinBrain's weekly App Scores alternative dataset for publicly traded S&P 500 Stocks

Here is a caption from a brand new feature on FinBrain Terminal: App Store Ratings and Review Counts Dataset

FinBrain's weekly App Scores alternative dataset for publicly traded S&P 500 Stocks
FinBrain’s App Store Ratings and Review Counts Dataset for publicly traded US Companies

SYS – Sysco Corporation, DGX – Quest Diagnostics and FIS – Fidelity National Information Services apps have seen the highest percentage increase in their app scores compared to the last week.…
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FinBrain’s Yearly Backtest Results for S&P500 Stocks

Hello from FinBrain Technologies,

Backtests are important in optimizing the performance of the trading strategies. They are equally dangerous as traders and strategy developers can easily over-optimize their strategies. An over-optimized strategy usually overfits the data and perfects the algorithm’s performance for the given test period.…
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FinBrain’s Prediction Performance For S&P500 Stocks 08-Feb-2019 – 22-Feb-2019

FinBrain’s State of the Art Deep Learning Algorithms

FinBrain Technologies develops and applies advanced time series data processing, convex optimization techniques, deep neural network models and portfolio optimization algorithms to financial datasets. Thanks to FinBrain Team’s background in Engineering, Mathematics, Statistics and Signal Processing, a set of different methodologies have been merged together to obtain the best prediction accuracy for Stocks, World Indices, Commodities, Foreign Currencies and ETFs.…
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