Investing With Python: Rule-Based Stock Portfolio Management

Description
My creative project is a Python program designed to simulate a $100,000 stock portfolio using real data about the stock market. It runs continuously on my computer and executes the main body of the code once per day at 11:00

My creative project is a Python program designed to simulate a $100,000 stock portfolio using real data about the stock market. It runs continuously on my computer and executes the main body of the code once per day at 11:00 am AZ time. It will pull prices from the internet for all stocks in the S&P 500 between 07/01/2023 and now. Each day, the program outputs two .csv files showing the makeup of the portfolio and an aggregated list of all transactions that have taken place. The financial decisions are made using Modern Portfolio Theory and the Efficient Frontier model, balancing risk and maximizing the Sharpe ratio to create the most mathematically optimal portfolio. There is a lot of documentation available to users to show the process of the code through daily executions, how to install required packages, and ultimately how to use the program. It was designed as a simulation for this project but has the potential to be expanded beyond its current bounds and eventually become a legitimate algorithm trading bot.
Date Created
2024-05
Agent

The Impact of Computing Technology on the Environment

Description

Since its introduction, the use of technology has been rapidly expanding and has been integrated into almost every aspect of daily life. Alongside this growth, there has been an increasingly urgent movement for sustainability and to fight climate change. Because

Since its introduction, the use of technology has been rapidly expanding and has been integrated into almost every aspect of daily life. Alongside this growth, there has been an increasingly urgent movement for sustainability and to fight climate change. Because technology is so prevalent in society today, it is important to understand how the use of technology relates to sustainability and climate change. While technology has been beneficial to society, it requires vast amounts of energy to power, which causes significant environmental degradation. On the other hand, technology also has provided useful in reducing carbon emissions and mitigating the effects of climate change. This can be seen in areas such as efficient transportation and logistics systems and smart cities. Thus, technology has the potential to positively impact the environment, but its negative effects must also be reduced. Technology companies also play a large role in the reduction of carbon emissions, as they provide much of the services and technology that we use today. Companies such as Google, Amazon, and Microsoft have all made commitments to sustainability, and it is important that they are held accountable to these commitments. Additionally, as new technologies emerge, their environmental impact must also be calculated. The findings of this thesis show that the main negative impacts of technology come from its energy use and its life cycle, while the main positive impacts come from its indirect effect on production processes, systems, and industries. In the long-term, these indirect positive effects are expected to increase, but the energy demands of technology will also increase. Therefore, managing the energy demands of technology while also allowing for increased efficiency and reductions in carbon emissions is the main challenge that companies face regarding sustainability.

Date Created
2023-05
Agent

The Role of Social Media in the Fashion Industry

Description

Social media has not always been a traditional form of business strategy for the fashion industry, therefore a study on the role of social media on user engagement for different tiers of fashion brands was conducted. A combination of multiple

Social media has not always been a traditional form of business strategy for the fashion industry, therefore a study on the role of social media on user engagement for different tiers of fashion brands was conducted. A combination of multiple regression models, ANOVA analysis, and hashtag analysis was done to understand various aspects of the research question. Tests were run against different post types to gain deeper insights on engagement levels and statistical significance. Post frequency and correlation analysis was conducted to understand how followers respond to the content. Overall, reels and carousel media were the most successful in increasing and maintaining user engagement. Prada has the most inactive users and ineffective social media strategies to increase engagement. While they have a high following they are unable to sustain engagement levels through their posts. Whereas, Teddy Fresh, despite being a smaller brand has been successful in maintaining engagement levels through their niche target market. Lastly, SKIMS has the fastest growth rate and has been able to increase following through their high frequency post schedule. For each of the brands, this information can be used to further strategize the marketing content. Social media is dynamic and therefore the approach for curating content will differ; being able to understand which types of posts are doing well is helpful for the brands as they can continue to run analysis when needed.

Date Created
2023-05
Agent

Zivoe Finance: Taking Aim at High-Interest Lending

Description
This paper dives into the economic theory behind credit and lending markets to uncover the driving forces behind financial exclusion in modern finance. It breaks down the market size and demographic of the unbanked population in the United States and

This paper dives into the economic theory behind credit and lending markets to uncover the driving forces behind financial exclusion in modern finance. It breaks down the market size and demographic of the unbanked population in the United States and highlights the market failures and bad actors responsible for causing financial exclusion in credit markets. Finally, it introduces Zivoe Finance, a new approach to financial inclusion that is designed to expand affordable credit access across the globe. Zivoe is a decentralized credit protocol started in part by the authors of this paper that empowers anyone to fund affordable, inclusive loans in underserved financial sectors. The remainder of this paper is dedicated to understanding Zivoe Finance, how it works, the challenges the authors faced in building it, and how one can participate in its mission moving forward.
Date Created
2022-12
Agent

Project Stallion

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Description

Creation of a database and Python API to clean, organize, and streamline data collection from an updated Qualtrics survey used to capture applicant information for the Fleischer Scholars Program run by the W. P. Carey UG Admissions Office.

Date Created
2021-05
Agent