July 1, 2024Indonesian Journal of Electrical Engineering and Computer ScienceOpen Access

Stock market index prediction based on market trend using LSTM

View Full Paper

Ask AI

Bookmark

Predicted closing price curves closely overlap with actual market values across test data, confirming high precision with long short-term memory architectures.
Comparative evaluation using mean absolute error and root mean square error analyzes single-layer and multi-layer long short-term memory networks on S&P 500 index equities.
May enable stock investors to make well-informed trading choices that increase earnings, supporting the integration of machine learning into complex market analysis.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Machine learning evaluation demonstrates accurate stock closing price forecasting in S&P 500 index equities, suggesting practical value for investor decision-making.

Cite This Study

Yenireddy et al. (2024) studied this question.

synapsesocial.com/papers/68e6218fb6db6435875b3368 https://doi.org/10.11591/ijeecs.v35.i3.pp1601-1609

View Full Paper

Ask AI

Bookmark

Implication

Machine learning evaluation demonstrates accurate stock closing price forecasting in S&P 500 index equities, suggesting practical value for investor decision-making.

Stock market index prediction based on market trend using LSTM

Key Points

Discussion

Implication

Cite This Study

Stock market index prediction based on market trend using LSTM

Key Points

Discussion

Implication

Cite This Study

Keep reading

Keep reading