See below to learn about the techniques and approach PredictNow.ai has, including conditional parameter optimization and feature engineering.
PredictNow.ai allows users to apply machine learning predictions to their data without any previous programming knowledge. All you need is an Excel (.xlsx) or csv file (.csv) with multiple columns of “predictor” variables and a single column with a “target” variable. (See our “Get Database” tab at the top of the screen to download our example files).
Our software will learn from the uploaded predictors-target pairs and make predictions on the unseen live data supplied via the Excel or csv file. It will also show you the performance metrics of the model (e.g. how accurate the predictions are). PredictNow.ai can predict either discrete target variables such as the sign of returns, or continuous variables such as the returns themselves.
NOTE: The program allows both .csv files and .xlsx files to be processed. However, when modifying/creating a csv file via Excel, some characters in the current file may not be correctly converted to .csv. We encourage Excel users to save their files to .xlsx, rather than .csv.
Please feel free to reach out to us via the form below with any questions, comments or concerns you have.
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