If you like stocks and are careful with the way you spend your money, you know how much time goes into buying shares of a stock. It’s tedious and I don’t have 24k for a Bloomberg terminal. Which led me to the idea during xmas break to spend the time creating my own terminal. I introduce you to “Gamestonk Terminal” (probably should’ve sent 1 tweet everyday to Elon Musk for copyrights permission eheh).
In summary, the Terminal (https://github.com/DidierRLopes/GamestonkTerminal) has 7 distinct menus:
- Discover Stocks
Top gainers; Sectors performance; upcoming earnings releases; top high shorted interest stocks; top stocks with low float; top orders on fidelity; and some SPAC websites with news/calendars.
- Market Sentiment
Scrolling through Reddit main posts, and most tickers mentions; Extracting stocktwit sentiment based on bull/bear flags; Twitter in-depth sentiment prediction using AI; Google mentions over time.
- Research Web pages
List of good pages to do research on a stock, e.g. macroaxis, zacks, macrotrends, ..
- Fundamental Analysis
Read financials from a company from Market Watch, Yahoo Finance, Alpha Vantage, and Financial Modeling Prep API.
- Technical Analysis
The usual technical indicators: sma, rsi, macd, adx, bbands, and more.
- Due Diligence
Some features are: Latest news of the company; Analyst prices and ratings; Price target from several analysts plot over time vs stock price; Insider activity, and these timestamps marked on the stock price historical data; Latest SEC fillings; Short interest over time; A check for financial warnings based on Sean Seah book.
- Prediction Techniques
The one I had more fun with. It tries to predict the stock price, from simple models like sma and arima to complex neural network models, like LSTM. The additional capability here is that all of these are easy to configure. Either through command line arguments, or even in form of a configuration file to define your NN.
In summary, the Terminal (https://github.com/DidierRLopes/GamestonkTerminal) has 7 distinct menus: - Discover Stocks Top gainers; Sectors performance; upcoming earnings releases; top high shorted interest stocks; top stocks with low float; top orders on fidelity; and some SPAC websites with news/calendars.
- Market Sentiment Scrolling through Reddit main posts, and most tickers mentions; Extracting stocktwit sentiment based on bull/bear flags; Twitter in-depth sentiment prediction using AI; Google mentions over time.
- Research Web pages List of good pages to do research on a stock, e.g. macroaxis, zacks, macrotrends, ..
- Fundamental Analysis Read financials from a company from Market Watch, Yahoo Finance, Alpha Vantage, and Financial Modeling Prep API.
- Technical Analysis The usual technical indicators: sma, rsi, macd, adx, bbands, and more.
- Due Diligence Some features are: Latest news of the company; Analyst prices and ratings; Price target from several analysts plot over time vs stock price; Insider activity, and these timestamps marked on the stock price historical data; Latest SEC fillings; Short interest over time; A check for financial warnings based on Sean Seah book.
- Prediction Techniques The one I had more fun with. It tries to predict the stock price, from simple models like sma and arima to complex neural network models, like LSTM. The additional capability here is that all of these are easy to configure. Either through command line arguments, or even in form of a configuration file to define your NN.