TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights

Our study includes the preprocessing of a year’s worth of historical data, which combines traditional financial metrics with sentiment scores derived from financial news and indices reflecting the prevailing political climate. This enriched dataset is employed to train four different machine learni...

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Main Authors: Andreas Marpaung, David Masterson
Format: Article
Language:English
Published: LibraryPress@UF 2025-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Online Access:https://journals.flvc.org/FLAIRS/article/view/139025
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author Andreas Marpaung
David Masterson
author_facet Andreas Marpaung
David Masterson
author_sort Andreas Marpaung
collection DOAJ
description Our study includes the preprocessing of a year’s worth of historical data, which combines traditional financial metrics with sentiment scores derived from financial news and indices reflecting the prevailing political climate. This enriched dataset is employed to train four different machine learning algorithms: a Hybrid, a Random Forest Model (RFM), a Support Vector Machine (SVM), and a K-Nearest Neighbors (KNN) model. Our results indicate that the inclusion of sentiment and political data contributes positively to the performance of all test models, with significant enhancements noted particularly in precision and F1-scores. Our novel approach suggests that sentiment and political insights, when processed and integrated effectively, offer substantial predictive value that could refine the accuracy of financial prediction models. This enhanced performance underscores the potential of combining qualitative analyses with quantitative data to create more robust predictive models in finance.
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record_format Article
series Proceedings of the International Florida Artificial Intelligence Research Society Conference
spelling doaj-art-9dd50d1892be4b6d81ba025f76019d1b2025-08-20T02:31:27ZengLibraryPress@UFProceedings of the International Florida Artificial Intelligence Research Society Conference2334-07542334-07622025-05-0138110.32473/flairs.38.1.139025TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political InsightsAndreas Marpaung0David Mastersonhttps://orcid.org/0009-0003-0564-2547Full Sail University Our study includes the preprocessing of a year’s worth of historical data, which combines traditional financial metrics with sentiment scores derived from financial news and indices reflecting the prevailing political climate. This enriched dataset is employed to train four different machine learning algorithms: a Hybrid, a Random Forest Model (RFM), a Support Vector Machine (SVM), and a K-Nearest Neighbors (KNN) model. Our results indicate that the inclusion of sentiment and political data contributes positively to the performance of all test models, with significant enhancements noted particularly in precision and F1-scores. Our novel approach suggests that sentiment and political insights, when processed and integrated effectively, offer substantial predictive value that could refine the accuracy of financial prediction models. This enhanced performance underscores the potential of combining qualitative analyses with quantitative data to create more robust predictive models in finance. https://journals.flvc.org/FLAIRS/article/view/139025
spellingShingle Andreas Marpaung
David Masterson
TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
Proceedings of the International Florida Artificial Intelligence Research Society Conference
title TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
title_full TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
title_fullStr TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
title_full_unstemmed TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
title_short TradeWise: Towards Context-Aware Stock Market Predictions with Sentiment and Political Insights
title_sort tradewise towards context aware stock market predictions with sentiment and political insights
url https://journals.flvc.org/FLAIRS/article/view/139025
work_keys_str_mv AT andreasmarpaung tradewisetowardscontextawarestockmarketpredictionswithsentimentandpoliticalinsights
AT davidmasterson tradewisetowardscontextawarestockmarketpredictionswithsentimentandpoliticalinsights