JMB portfolio is the personal portfolio of a retail trader. The function of this collaborative project is to analyze each individual stock's past performance and forecast future performance to optimize daily positional adjustments. The goal of the project is to create a 20 percent monthly return that will be withdrawn and used as personal income.
The portfolio will maintain $100,000 USD diversified between 5 stocks which include Amazon (AMZN), FB (FACEBOOK), NVidia (NVDA), Walmart (WMT) and Goldman Sachs (GS). The project is written on a Jupyter lab notebook using Python, Pandas, and Pyviz. Historical data for stocks reach back 1 year and forecast predictions are calculated for 1 month forward.
- Daily closing prices
- Daily returns
- covariance against the S&P 500
- Volatility
- Correlation
- Standard deviation
- Beta
- Simple Moving Average
- Exponentially Weighted Moving Average
- Rolling statistics
- Sharpe Ratio
Software needed to run this project include Python, Anaconda/ Pandas, Jupyter Lab, Pyviz. Installation instructions for these programs can be found in the following links.
You will need an Alpaca_trade_api
- github.com/seane13
- github.com/JosinaB
- github.com/fsalomon496
- github.com/Maurolp15
Other Resources and contributors include:
UM fintech
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent