Open Citations

Predicting New Zealand’s Stock Market Trends: Combining Sentiment Analysis and Deep Learning

Mohita Trehan, Soheil Varastehpour, Masoud Shakiba, Guillermo Ramirez Prado, Bashar Barmada

Lecture notes in networks and systems · 2025

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Real-Time Prediction of S-Wave Accelerograms from P-Wave Signals Using LSTM Networks with Integrated Fragility-Based Structural Damage Alerts for Induced Seismicity

Konstantinos G. Megalooikonomou, Grigorios N. Beligiannis

Applied Sciences · 2025

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Recurrent Neural Networks with Transformers to Trade Financial Instruments

Daniel K. Ruiru, Nicolas Jouandeau, Dickson Odhiambo Owuor

SN Computer Science · 2025

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Refining ADAM optimizer in LSTM to improve the stock price prediction over HMM and GMM

Murugesan Punniyamoorthy, R Balu, Naren Meenakshi Sundaram S

Research Square · 2025

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Stock Market Prediction Using ML

Saniya, P. Vemulamma, Ch. Aravind Kumar, N. Sathyavathi

International Conference on Recent Trends in Electrical, Electronics and Computing Technologies (ICRTEECT) · 2025

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Stock Price Prediction Using LSTM

Shashank Pandey, Prateek Tyagi, Shashank Sharma, Naman Jha, Vivek Tyagi, Pradeep K. Gupta, Sonam Gupta

Lecture notes in networks and systems · 2025

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Tesla stock prediction with SVM, decision tree and random forest

Jierui Wang

Highlights in Business Economics and Management · 2025

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Training Set Optimization for Machine Learning in Day Trading: A New Financial Indicator

Angelo Darcy Molin Brun, Adriano C. M. Pereira

International Journal of Financial Studies · 2025

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Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm

Ching‐Hsue Cheng, Jun-He Yang, Jia-Pei Dai

Cognitive Computation · 2025

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A Machine Learning-Based Analysis of Stock Market Forecasting: A Review

Ashish Kumar, Mayank Trivedi, Vikas Vikas, Santosh Kumar Upadhyay

2024

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Predicting Stock Prices Using LSTM

Citing Works

Predicting New Zealand’s Stock Market Trends: Combining Sentiment Analysis and Deep Learning

Real-Time Prediction of S-Wave Accelerograms from P-Wave Signals Using LSTM Networks with Integrated Fragility-Based Structural Damage Alerts for Induced Seismicity

Recurrent Neural Networks with Transformers to Trade Financial Instruments

Refining ADAM optimizer in LSTM to improve the stock price prediction over HMM and GMM

Stock Market Prediction Using ML

Stock Price Prediction Using LSTM

Tesla stock prediction with SVM, decision tree and random forest

Training Set Optimization for Machine Learning in Day Trading: A New Financial Indicator

Verifying Technical Indicator Effectiveness in Cryptocurrency Price Forecasting: a Deep-Learning Time Series Model Based on Sparrow Search Algorithm

A Machine Learning-Based Analysis of Stock Market Forecasting: A Review

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