Pinned Repositories
Credit_Risk_Resampling
Crypto-Arbitrage
The Crypto Arbitrage application utilizes Pandas to perform both a high-level and a data-focused analysis of Bitcoin data as evaluated through price dislocation between two exchanges and helps identify investment opportunities. Time series analysis on Bitcoin pricing data is the main method used to search for potential money-making opportunities.
Crypto_Portfolio_Optimizer
Assembling optimized investment portfolios based on cryptocurrency.
ETF-Analyzer
Financial Database and Web Application using SQL, Python, and Voilà library to analyze the performance of a hypothetical ETF.
Financial_Planner
Financial Planner is a tool to help users evaluate their financial health. Extended to two separate tools, the first is a financial planner for emergencies. Users will be able to use this tool to visualize their current savings. Users can then determine if they have enough reserves for an emergency fund. The second tool is a financial planner for retirement. This tool will forecast the performance of a user's retirement portfolio in 30 years. To do this, the tool will make an Alpaca API call via the Alpaca SDK to get historical price data for use in Monte Carlo simulations.
FinTech-Finder
Fintech Finder is an application that its customers can use to find fintech professionals from among a list of candidates, hire them, and pay them. The Ethereum blockchain network is integrated into the application in order to enable customers to instantly pay fintech professionals whom they hire with cryptocurrency.
Forecasting-Net-Prophet
Golden-Years
Golden Years aims to make preparing for retirement simple and easy. First, the application will ensure user will be able to retire comfortably by gathering user input about current retirement strategy. Second, the application will make alternative retirement strategy recommendations identified with the help of forecasting. If the user would like to choose a specific state to retire in, Golden Years will be able to indicate if the user is on track to meet that goal by comparing the user's estimated retirement savings value with a benchmark comfortable annual retirement amount gathered by T. Rowe Price. If user does not know where they would like to retire, or if they cannot afford their current selection based on their input, other states will be recommended for retirement based on estimated retirement savings value at their age of retirement.
Joint-Savings-Smart-Contract
Machine_Learning_Trading_Bot
Improving existing algorithmic trading systems by enhancing existing trading signals with machine learning algorithms that will adapt to new data.
RJGiannini's Repositories
RJGiannini/Golden-Years
Golden Years aims to make preparing for retirement simple and easy. First, the application will ensure user will be able to retire comfortably by gathering user input about current retirement strategy. Second, the application will make alternative retirement strategy recommendations identified with the help of forecasting. If the user would like to choose a specific state to retire in, Golden Years will be able to indicate if the user is on track to meet that goal by comparing the user's estimated retirement savings value with a benchmark comfortable annual retirement amount gathered by T. Rowe Price. If user does not know where they would like to retire, or if they cannot afford their current selection based on their input, other states will be recommended for retirement based on estimated retirement savings value at their age of retirement.
RJGiannini/Crypto-Arbitrage
The Crypto Arbitrage application utilizes Pandas to perform both a high-level and a data-focused analysis of Bitcoin data as evaluated through price dislocation between two exchanges and helps identify investment opportunities. Time series analysis on Bitcoin pricing data is the main method used to search for potential money-making opportunities.
RJGiannini/Credit_Risk_Resampling
RJGiannini/Crypto_Portfolio_Optimizer
Assembling optimized investment portfolios based on cryptocurrency.
RJGiannini/ETF-Analyzer
Financial Database and Web Application using SQL, Python, and Voilà library to analyze the performance of a hypothetical ETF.
RJGiannini/Financial_Planner
Financial Planner is a tool to help users evaluate their financial health. Extended to two separate tools, the first is a financial planner for emergencies. Users will be able to use this tool to visualize their current savings. Users can then determine if they have enough reserves for an emergency fund. The second tool is a financial planner for retirement. This tool will forecast the performance of a user's retirement portfolio in 30 years. To do this, the tool will make an Alpaca API call via the Alpaca SDK to get historical price data for use in Monte Carlo simulations.
RJGiannini/FinTech-Finder
Fintech Finder is an application that its customers can use to find fintech professionals from among a list of candidates, hire them, and pay them. The Ethereum blockchain network is integrated into the application in order to enable customers to instantly pay fintech professionals whom they hire with cryptocurrency.
RJGiannini/Forecasting-Net-Prophet
RJGiannini/Joint-Savings-Smart-Contract
RJGiannini/Machine_Learning_Trading_Bot
Improving existing algorithmic trading systems by enhancing existing trading signals with machine learning algorithms that will adapt to new data.
RJGiannini/OpenSeaAPITool
RJGiannini/Portfolio_Management
Evaluating four new investment options for inclusion in client portfolios. This program helps determine the fund with the most investment potential based on key risk-management metrics: the daily returns, standard deviations, Sharpe ratios, and betas.
RJGiannini/Pychain
Pychain is a blockchain-based ledger system, complete with a user-friendly web interface. This ledger allows partner banks to conduct financial transactions (that is, to transfer money between senders and receivers) and to verify the integrity of the data in the ledger.
RJGiannini/Qualifier
User Story: As a user, I need the ability to find and save qualifying loans to a CSV file so results can be shared as a spreadsheet.
RJGiannini/SanFran_Real_Estate
Analysis for a one-click service for people to buy properties and then rent them in San Francisco. Using data visualization, aggregation, interactive visualizations, and geospatial analysis, to find properties in the San Francisco market that are viable investment opportunities.
RJGiannini/Venture_Funding_With_Deep_Learning