Stock trading using fuzzy neural networks by Xiao, Xiao

“…Historical Stock Prices of HSI and IBM downloaded from Yahoo finance are utilized as the inputs to stock price forecasting system. …”
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Develop a corporate bonds info website by Wang, YiYing

“…Subsequently, reliable sources of data have to be determined, including but not limited to Google or Yahoo Finance or relevant financial information vendors. …”
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Predicting Bitcoin and Ethereum prices using long short-term memory and gated recurrent unit by Mohd Haziq, Abdul Hadi, Nor Azuana, Ramli, Islam, Q. U. I.

“…Historical price data for both cryptocurrencies, sourced from Yahoo Finance, serves as the basis for analysis. The dataset undergoes an 80% training and 20% testing partition. …”
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DLCP2F: a DL-based cryptocurrency price prediction framework by Abdussalam Aljadani

“…The current study uses three public real-time cryptocurrency datasets from “Yahoo Finance”. Bidirectional Long Short-Term Memory and Gated Recurrent Unit deep learning-based algorithms are used to forecast the prices of three popular cryptocurrencies (i.e., Bitcoin, Ethereum, and Cardano). …”
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Which shareholders are interested in the ESG-indicators of the company? by V. V. Karginova-Gubinova

“…The research is based on the data from Yahoo Finance and the website of the Sustainalytics, Inc. company as of the end of 2021.Cluster, variance, regression and correlation analyses were carried out and methods of descriptive statistics were used.Results of this work have revealed the presence of the features of ownership structure of Russian companies in comparison with companies of developed countries. …”
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Investor Reactions to Twin Transformers Announcements by Milica Latinović

“…Share prices were collected from the Yahoo Finance website, and event announcements from corporate websites. …”
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Twitter'da Duygu Analizi Yöntemi Kullanılarak Bitcoin Değer Tahminlemesi by Burak Köksal, Gözde Erdem, Cansu Türkeli, Zehra Kamışlı Öztürk

“…Çalışmanın ikinci aşamasında ise, duygu analizinden sonra “Bitcoin” anahtar kelimesi içeren günlük pozitif tweet oranı ile Bitcoin günlük açılış değeri beraber kullanılarak Bitcoin kapanış değeri tahminlemesi yapılmıştır. Finans verileri Yahoo Finance web sitesi üzerinden alınmış; Doğrusal Regresyon ve Rastgele Orman Regresyon yöntemleri ile modeller oluşturulmuştur. …”
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Fractional differencing in stock market price and online presence of global tourist corporations by Francisco Flores-Muñoz, Alberto Javier Báez-García, Josué Gutiérrez-Barroso

“…Google Finance and Yahoo Finance, along with Google Trends, were used, respectively, to obtain the data of stock prices and search results, for a period of five years (October 2012 to October 2017). …”
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Application of machine learning in the forecast of stock index by Sugianto, Jason Jonathan

“…The technical features were collected from yahoo finance website. Meanwhile, the content features were collected from various accounts in one of the most popular social media, Twitter. …”
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Application of machine learning in stock index forecast by Suresh, Shet Swati

“…NYSE index is downloaded from Yahoo! Finance. It leverages Technical Indicators as well as market Sentiment Analysis to facilitate the prediction of stock index. …”
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Application of machine learning in the forecast of stock index by Lim, Leonel Wei Jun

“…To achieve this goal, we fed the previous 60 trading days’ open, high, low, and close prices extracted from Yahoo Finance into different models as inputs. This FYP investigates the implementation of both conventional machine learning techniques and deep learning techniques. …”
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Using AI and big data to predict stock market by Li, Jing

“…In this paper, three of the most active stocks including Sembcorp Marine Ltd (S51.SI), Marco Polo Marine Ltd. (5LY.SI), and Thai Beverage Public Company Limited (Y92.SI), are selected and analyzed to predict stock market information based on a large number of historical statics from Yahoo Finance. The prediction experiments are conducted by building and training three machine learning models: Decision Tree, Support Vector Machine, and deep learning model Long Short-Term Memory. …”
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Building a stock portfolio by Nim Jin Xiang

“…The experiments are conducted with the historical price data extracted from Yahoo! Finance.…”
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Exploration of ethereum investment strategy with HMM by Ng, Jacqueline Jia Yee, Ng, Yongwen, Wong, Wei Hao

“…Given 936 observations of daily Ether prices obtained from Yahoo Finance, 80% of this data was used as a training set while the remaining 20% was used as the testing set. …”
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PENGARUH LABA AKUNTANSI, KOMPONEN ARUS KAS DAN VARIABEL EKONOMI MAKRO TERHADAP RETURN SAHAM PERUSAHAAN SEKTOR PERTAMBANGAN DI BURSA EFEK INDONESIA by , Rendy Valentino Manjur, , Dr. Ertambang Nahartyo, MSc.

“…Data in this research were secunder data which provide by financial statement from each companies, meanwhile macroeconomic variables data were provide by some websites like yahoo.finance.com, lbma.org.uk, bi.go.id, and eia.gov. …”

Trading Stocks Based on Financial News Using Attention Mechanism by Saurabh Kamal, Sahil Sharma, Vijay Kumar, Hammam Alshazly, Hany S. Hussein, Thomas Martinetz

“…In our experiments, the data on stock market prices are collected from Yahoo Finance and Kaggle. Financial news headlines are collected from the Wall Street Journal, Washington Post, and Business-Standard website. …”
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Predicting Forex Currency Fluctuations Using a Novel Bio-Inspired Modular Neural Network by Christos Bormpotsis, Mohamed Sedky, Asma Patel

“…Hence, this study proposes a novel neuroscience-informed modular network that harnesses closing prices and sentiments from Yahoo Finance and Twitter APIs. Compared to monolithic methods, the objective is to advance the effectiveness of predicting price fluctuations in Euro to British Pound Sterling (EUR/GBP). …”
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Tesla Stock Close Price Prediction Using KNNR, DTR, SVR, and RFR by . Edward, . Suharjito

“…The dataset used was the Tesla Stock historical data from yahoo finance. The result showed RFR with n_estimators = 87 is superior to its comparison with results of 0.005452 RMSE, 0.000029 MSE, and 0.999296 R2 and compared to Bi-LSTM have about 0.11773 RMSE, 0.01386 MSE, and 0.791263 R2. …”
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Stock market prediction using machine learning by Lim, Alloysius Zong Hong

“…The project focuses on predicting the stock prices of technology companies such as Tesla and Google, using a dataset from Yahoo Finance comprising daily stock prices and volume data from January 1980 to March 2023. …”
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Balancing a stock portfolio by Chong, Isabelle Noelene

“…The experiments are conducted with the historical price data extracted from Yahoo! Finance.…”
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