
Project scope
Categories
Data visualization Data analysis Financial modeling InvestmentSkills
data cleansing investment decisions statistical analysis financial market finance data visualization data analysis research datasetThe objective of this project is to utilize the AnaChart dataset, which contains stock price targets and ratings, to derive meaningful insights for financial research. The dataset provides a rich source of information that can be analyzed to identify trends, patterns, and correlations in stock price targets and analyst ratings. The goal is to apply classroom knowledge of data analysis and financial markets to interpret the dataset effectively. Students will work on tasks such as data cleaning, statistical analysis, and visualization to uncover insights that can aid in investment decision-making. The project will also involve creating a comprehensive report that summarizes the findings and provides actionable recommendations based on the analysis. This project is designed for students in finance or data analytics programs, allowing them to apply their skills in a practical setting.
The deliverables for this project include a detailed report and a presentation. The report should contain a thorough analysis of the AnaChart dataset, including data visualizations and statistical findings. Additionally, the report should offer insights and recommendations based on the analysis. The presentation will summarize the key findings and insights, providing a clear and concise overview of the project's outcomes.
Providing access to necessary tools, software, and resources required for project completion.
About the company
AnaChart.com is a visual stock research tool that provides investors with a comprehensive view of analyst price targets, both past and present. By plotting these targets as trendlines alongside stock prices, investors can analyze the timing, bias, and accuracy of each analyst in relation to both the stock and their peers. AnaChart boasts the largest publicly available dataset of price targets and the second-largest collection of analyst ratings, with over 800,000 data points and counting. The entire dataset is accessible via Google BigQuery—contact us for access.