# Stock Market Forecasting Methods

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/stock-market-forecasting-methods/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on predicting stock market trends and movements using various techniques such as time series forecasting, neural networks, deep learning, support vector machines, sentiment analysis, and Twitter data. The research explores the application of these methods to financial time series data for stock market prediction. |
| Domain | Social Sciences |
| Field | Decision Sciences |
| OpenAlex ID | t11326 |
| Works | 86 |

## Topic papers all

Showing 15 of 86.

- [Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques](https://scholariq.org/papers/predicting-stock-and-stock-price-index-movement-using-trend-deterministic-data/)
- [An Introduction to Wavelets and Other Filtering Methods in Finance and Economics](https://scholariq.org/papers/an-introduction-to-wavelets-and-other-filtering-methods-in-finance-and-economics/)
- [Applications of deep learning in stock market prediction: Recent progress](https://scholariq.org/papers/applications-of-deep-learning-in-stock-market-prediction-recent-progress/)
- [Predicting stock market index using fusion of machine learning techniques](https://scholariq.org/papers/predicting-stock-market-index-using-fusion-of-machine-learning-techniques/)
- [Transfer learning for time series classification](https://scholariq.org/papers/transfer-learning-for-time-series-classification/)
- [Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network](https://scholariq.org/papers/deep-learning-approach-for-short-term-stock-trends-prediction-based-on-two/)
- [A survey of the applications of text mining in financial domain](https://scholariq.org/papers/a-survey-of-the-applications-of-text-mining-in-financial-domain/)
- [Exploring the use of deep neural networks for sales forecasting in fashion retail](https://scholariq.org/papers/exploring-the-use-of-deep-neural-networks-for-sales-forecasting-in-fashion/)
- [Recurrent Neural Networks for Multivariate Time Series with Missing Values](https://scholariq.org/papers/recurrent-neural-networks-for-multivariate-time-series-with-missing-values/)
- [Forecast Methods for Time Series Data: A Survey](https://scholariq.org/papers/forecast-methods-for-time-series-data-a-survey/)
- [Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM](https://scholariq.org/papers/time-series-forecasting-for-hourly-photovoltaic-power-using-conditional/)
- [Multi-attribute fuzzy time series method based on fuzzy clustering](https://scholariq.org/papers/multi-attribute-fuzzy-time-series-method-based-on-fuzzy-clustering/)
- [Generating Synthetic Time Series to Augment Sparse Datasets](https://scholariq.org/papers/generating-synthetic-time-series-to-augment-sparse-datasets/)
- [A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression](https://scholariq.org/papers/a-new-fuzzy-time-series-forecasting-model-combined-with-ant-colony-optimization/)
- [A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices](https://scholariq.org/papers/a-naive-svm-knn-based-stock-market-trend-reversal-analysis-for-indian-benchmark/)

## Topic primary papers

Showing 15 of 45.

- [Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques](https://scholariq.org/papers/predicting-stock-and-stock-price-index-movement-using-trend-deterministic-data/)
- [Applications of deep learning in stock market prediction: Recent progress](https://scholariq.org/papers/applications-of-deep-learning-in-stock-market-prediction-recent-progress/)
- [Predicting stock market index using fusion of machine learning techniques](https://scholariq.org/papers/predicting-stock-market-index-using-fusion-of-machine-learning-techniques/)
- [Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network](https://scholariq.org/papers/deep-learning-approach-for-short-term-stock-trends-prediction-based-on-two/)
- [Multi-attribute fuzzy time series method based on fuzzy clustering](https://scholariq.org/papers/multi-attribute-fuzzy-time-series-method-based-on-fuzzy-clustering/)
- [A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression](https://scholariq.org/papers/a-new-fuzzy-time-series-forecasting-model-combined-with-ant-colony-optimization/)
- [A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices](https://scholariq.org/papers/a-naive-svm-knn-based-stock-market-trend-reversal-analysis-for-indian-benchmark/)
- [Machine learning approaches in stock market prediction: A systematic literature review](https://scholariq.org/papers/machine-learning-approaches-in-stock-market-prediction-a-systematic-literature/)
- [Forecasting daily stock trend using multi-filter feature selection and deep learning](https://scholariq.org/papers/forecasting-daily-stock-trend-using-multi-filter-feature-selection-and-deep/)
- [Application of wrapper approach and composite classifier to the stock trend prediction](https://scholariq.org/papers/application-of-wrapper-approach-and-composite-classifier-to-the-stock-trend/)
- [Time Series Forecasting of Price of Agricultural Products Using Hybrid Methods](https://scholariq.org/papers/time-series-forecasting-of-price-of-agricultural-products-using-hybrid-methods/)
- [Knowledge discovery in financial investment for forecasting and trading strategy through wavelet-based SOM networks](https://scholariq.org/papers/knowledge-discovery-in-financial-investment-for-forecasting-and-trading-strategy/)
- [Supervised Machine Learning Method for Ontology-based Financial Decisions in the Stock Market](https://scholariq.org/papers/supervised-machine-learning-method-for-ontology-based-financial-decisions-in-the/)
- [BBO-BPNN and AMPSO-BPNN for multiple-criteria inventory classification](https://scholariq.org/papers/bbo-bpnn-and-ampso-bpnn-for-multiple-criteria-inventory-classification/)
- [Stock Market Prediction Using Linear Regression and SVM](https://scholariq.org/papers/stock-market-prediction-using-linear-regression-and-svm/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.