David T. Still's Projects
Analyzing a the financial profile of a hypothetical person to help them plan for retirement. Utilizes the Plaid API and Alpaca API.
Performing a cluster analysis to classify different types of cryptocurrencies.
Brief profile about me and my interests
Analysis of the real estate crowdfunding platform Fundrise
Model bitcoin closing prices utilizing deep learning recurrent neural networks. One model utilizes closing prices, the other model uses the Crypto Fear and Greed Index (FNG), a daily index that analyzes the sentiment of the Bitcoin/crypto market, to predict the closing price.
Evaluating several machine-learning models to predict credit risk using LendingClub data.
Applying natural language processing to understanding the latest sentiment of news articles featuring Bitcoin and Ethereum.
Analyzing the performance among various algorithmic, hedge, and mutual fund portfolios and comparing them to the S&P 500.
Examining the real estate data for various neighborhoods in San Francisco and creating a dashboard to examine the characteristics of these submarkets.
Analyzing a hypothetical restaurant's P&L statement and outputting the results to a .txt file.
Analyzing daily news headlines to predict the direction of the Dow Jones Industrial Average
Launching a hypothetical crowdsale to fund the development of "Puppercoin". The contract mints the tokens automatically and distributes them to buyers in one transaction. Inherits contracts from the OpenZeppelin library.
Smart contract built to allow a hypothetical company to pay its employees.
Analyzing the performance of sustainable mutual funds compared to the performance S&P 500. Is there a price to be paid for sustainable investing?
Testing various time-series tool to predict future movements in the value of the Japanese yen versus the U.S. dollar.