Stock Price Prediction Website Using Linear Regression - A Machine Learning Algorithm by Antad Sonali, Khandelwal Saloni, Khandelwal Anushka, Khandare Rohan, Khandave Prathamesh, Khangar Dhawal, Khanke Raj

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Impact of stock market indices and raw material prices on the yield movements of Caterpillar company securities by Petrović Nevena, Novićević-Čečević Bojana, Krstajić Goran

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Machine Learning for Predicting the Stock Price Direction with Trading Indicators by Md. Siam Ansary

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Prediction of Daily Gold Prices Using an Autoregressive Neural Network by Mohamad As’ad, Sujito, Sigit Setyowibowo

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Optimalisasi Prediksi Harga Ihsg Menggunakan Hybrid Weighted Fuzzy Time Series Hidden Markov Model Dengan Algoritma Evolusi Differensial by Alya Fitri Syalsabilla, Suci Astutik, Agus Fachrur Rozy

“…The study employs IHSG monthly data from January to December 2023 from www.yahoo.finance.com. Forecasting from the Hybrid WFTS-HMM Model with the DE Algorithm has lower prediction error (1.45%) compared to the model without DE (1.49%). …”
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Menilik Reaksi Pasar Terhadap Pengumuman Rilis Fatwa MUI No. 83 Tahun 2023 by Zakir Gunibala, Andini Renuat, Sukmawati Indah Dzikriah

“…Data obtained from the IDX and Yahoo Finance pages. Results: Shows that there is no AR and no significant difference during the event period studied. …”
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Analyzing the Financial Resilience of Islamic Banks in Indonesia Amid the COVID-19 Pandemic: A Comparative Study of Stock Price Dynamics by Rita Zulbetti*, Adzirah Muzaffirah

“…Stock price data was obtained from the Indonesia Stock Exchange and Yahoo Finance, with the research sample including Bank Syariah Indonesia, BTPN Syariah, and Bank Panin Dubai Syariah. …”
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Macro Analysis on Apple Stock In order to determine investment value of Apple by Bai Mingrui

“…In this article, the author assumes 10,000 shares of Apple Inc stock from January 1, 2020, until August 2, 2022, and uses Yahoo Finance’s historical data to calculate past earnings levels, combined with the author’s macro analysis of Apple’s economic conditions and market conditions to conclude that Apple is well worth investing in over the next 3-5 years.…”
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Topological variability in financial markets by Aaron D Valdivia

“…Using individual stock price data from Yahoo! Finance, we find that the variation in the persistence landscape norm as well as other measures of persistence exhibit a marked increase followed by a decline prior to historic incidents. …”
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Investment portfolio optimization using evolutionary strategies by Gao, Yuan

“…The complete MATLAB program is tested on 30 selected stocks from Yahoo Finance over a period of 64 days. The MATLAB program is tested in different cases and the return of optimized portfolios in the output is compared with the initial portfolio, the efficient frontier and Dow Jones Industrial Average with Buy-and-Hold strategy.…”
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Stock Price Prediction Using Deep-Learning Models: CNN, RNN, and LSTM by Cao Ruixun

“…The basic way uses linear or non-linear algorithms, but the stock market has many factors, so it is highly non-linear prediction, so it is helpless to use one simple model, so this paper proposes to figure out a good deep-learning model to capture and analyze the data of six companies from Yahoo Finance by comparing the fitness of three famous neural network: CNN, RNN, and LSTM. …”
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Investment Decision on Cryptocurrency: Comparing Prediction Performance Using ARIMA and LSTM by Svend Pasak, Riyanto Jayadi

“…Data was obtained by downloading from the Yahoo Finance website using Jupyter notebook. The LSTM method outperformed the ARIMA method, achieving a lower MAPE value of less than 10 percent and effectively capturing price movements, providing valuable information for decision-making.…”
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Financial time series forecast using artificial neural networks: a comparative in the 2008 crisis by Debora Barbosa Aires, Ronaldo César Dametto, Antonio Fernando Crepaldi

“…Therefore, time series of over a decade were extracted from Yahoo! Finance, including the period of the subprime crisis and its temporal neighborhoods. …”
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The Market Quality to Technical Analysis Performance: Intercountry Analysis by Jogiyanto Hartono, Dedhy Sulistiawan

“…This study uses the OSIRIS and Yahoo Finance databases. Using 21 countries with 50 companies for each country, this study finds that market quality affects technical analysis performance. …”
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Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm by Thanh Tung Khuat, Quang Chanh Le, Bich Loan Nguyen, My Hanh Le

“…The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies. Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions. …”
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Predicting bitcoin cryptocurrency price behavior based on ARIMA and NNAR modelling by Patricia Virginia de Santana Lima, David Venâncio da Cruz, Albaro Ramon Paiva Sanz

“… The development of models to predict the behavior of the Bitcoin cryptocurrency, using a public database (Yahoo! Finance) to predict price trends. The models used were ARIMA and NNAR with the validation of the models being carried out based on the daily closing values of the asset. …”
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PERAMALAN INDEKS HARGA SAHAM GABUNGAN (IHSG) DENGAN METODE FUZZY TIME SERIES MARKOV CHAIN by Y Aristyani, E Sugiharti

“…Dalam penelitian  ini, data bersumber dari <em>yahoo finance</em>. Data historis diambil dari data <em>Composite Indeks </em>(IHSG) periode Januari 2010 sampai dengan Februari 2014. …”
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APPLYING ARTIFICIAL NEURAL NETWORK OPTIMIZED BY FIREWORKS ALGORITHM FOR STOCK PRICE ESTIMATION by Khuat Thanh Tung, Nguyen Thi Bich Loan, Le Quang Chanh, Le Thi My Hanh

“…The system was trained and tested with real data of various companies collected from Yahoo Finance. The obtained results are encouraging.…”
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Machine Learning-Based Analysis of the Association Between Online Texts and Stock Price Movements by František Dařena, Jonáš Petrovský, Jan Žižka, Jan Přichystal

“…The paper presents the result of experiments that were designed with the goal of revealing the association between texts published in online environments (Yahoo! Finance, Facebook, and Twitter) and changes in stock prices of the corresponding companies at a micro level. …”
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The Role of Data Visualization in the Finance – The Case of Publicly Listed EdTech Companies by Marian Stan, Mihai Ciobotea

“…The financial information platforms like Yahoo Finance and Google Finance provides to investors advanced, interactive data visualizations features such as Bollinger bands visualizations that meet the requirements of sophisticated investors and traders. …”
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