Results 51 to 60 of about 246,578 (242)
Applied Sciences, 2023 In the context of the rapid evolution of financial markets, the precise prediction of stock prices has become increasingly complex and challenging, influenced by a myriad of factors including macroeconomic indicators, company financial conditions, and ...
Shijie Yang +8 more
doaj +1 more source
International Journal of Innovative Technology and Exploring Engineering, 2019 Stock trading is a very crucial activity in the world of Finance and is a supporting structure for many companies. Predicting the future value of a stock is the main goal of stock price prediction project. In this paper, we have used machine learning algorithms to predict future stock prices of a company. Stock prediction by the stock brokers is mainly
openaire +1 more source
Predicting stock price movements: regressions versus economists [PDF]
Applied Economics Letters, 2010 The forecasting performance of the Livingston survey and traditional prediction models of stock prices is analysed. The survey forecasts look similar to those from a ‘too large’ prediction model: poor out-of-sample performance and too sensitive to recent and irrelevant information.
openaire +4 more sources
Molecular Oncology, EarlyView.Development of therapies targeting cancer‐associated fibroblasts (CAFs) necessitates preclinical model systems that faithfully represent CAF–tumor biology. We established an in vitro coculture system of patient‐derived pancreatic CAFs and tumor cell lines and demonstrated its recapitulation of primary CAF–tumor biology with single‐cell transcriptomics ...
Elysia Saputra +10 more
wiley +1 more source
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
, 2020 Stock price movement prediction is commonly accepted as a very challenging task due to the volatile nature of financial markets. Previous works typically predict the stock price mainly based on its own information, neglecting the cross effect among ...
Xu, Chengzhong +3 more
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A subset of MMR‐proficient colon cancers responds to neoadjuvant immunotherapy
Molecular Oncology, EarlyView.Tan et al. reveal that a distinct subset of early‐stage pMMR colon cancers can respond to neoadjuvant immunotherapy. In the NICHE‐2 trial, responders (26%) were characterized by chromosomal instability, TP53 mutations, and proliferative cell‐cycle programs, whereas nonresponders showed metabolic and stromal reprogramming with TGF‐β‐driven ...
Eleonora Piumatti +3 more
wiley +1 more source
Prediction of stocks: a new way to look at it. [PDF]
, 2001 While the traditional $R^{2}$ value is useful to evaluate the quality of a fit, it does not work when it comes to evaluating the predictive power of estimated financial models in finite samples. In this paper we introduce a validated $R_{V}^{2}$ value
Nielsen, Jens Pech, Sperlich, Stefan
core +1 more source
Prediksi Harga Saham Menggunakan Support Vector Regression dengan Algoritma Grid Search [PDF]
, 2014 The stock market has become a popular investment channel in recent years because of the low return rates of other investment. The stock price prediction is in the interest of both private and institution investors. Accurate forecasting of stock prices is
Prahutama, A. (Alan) +2 more
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Multimodal Stock Price Prediction
Proceedings of the 17th International Conference on Agents and Artificial Intelligence9 pages, 6 ...
Karadaş, F. +2 more
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Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source