Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Study on the application of LSTM-LightGBM Model in stock rise and fall prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/study-on-the-application-of-lstm-lightgbm-model-in-stock-rise-and-fall-prediction
MLA“Study on the application of LSTM-LightGBM Model in stock rise and fall prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/study-on-the-application-of-lstm-lightgbm-model-in-stock-rise-and-fall-prediction.
BibTeX@misc{4ortxyz_study-on-the-application-of-lstm-lightgbm-model-in-stock-rise-and-fall-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Study on the application of LSTM-LightGBM Model in stock rise and fall prediction}}, year = {2026}, url = {https://4ort.xyz/entity/study-on-the-application-of-lstm-lightgbm-model-in-stock-rise-and-fall-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Study on the application of LSTM-LightGBM Model in stock rise and fall prediction — https://4ort.xyz/entity/study-on-the-application-of-lstm-lightgbm-model-in-stock-rise-and-fall-prediction (retrieved 2026-05-24)
