A fintech application that automates trading relative to the users' risk tolerance built entirely using Python in the span of 48 hours.
Based on the user's risk tolerance the algorithm uses mean reversion models on crypto currency and equities to place high-frequency trades or swing trades. Each trade is notified via email and a custom log is kept on an XL file.
The algorithm uses a wide variety of screeners to identify and select the right stocks which have the maximum sucess rate.
- Navigate to the folder where "dashboard.py" is located using the terminal
- Type the following command: "streamlit run dashboard.py"
- The GUI should now open on your browser and run locally
- Follow the instructions presented to you on the dashboard
- To backtest your own strategy on any ticker use "terminal_backtest_stock.py" or "terminal_backtest_crypto.py"
- "main.py" simply contains primary functions used on "dashboard.py"
- Streamlit, API the front end is built upon, uses HTML, CSS and JS to run python code locally on your web browser
- Beautiful soup
- AlphaVantage
- Pandas
- openyxl
- csv
- finnhub
- datetime
- time
- smtplib
- pytz
- email.message
- email.mime
- streamlit
- matplotlib
- Mobile app
- User customized trading algorithm that does not require code
- Secure login page for the web and mobile app
- Web Scraping
- Data Frame
- Conditoinal Operations
- Object Oriented Programing
- Application Programming Interface
- Data Mining
- Basic Error Handling
