kingfischer16 / stocks Goto Github PK

Add an option to all charts to limit the data presented to the following dimensions:

• last 30 days
• last x months
• last x years
• YTD

Add a basic LSTM to predict stock price, or predict buy/sell signals.

Add functionality for exponential and simple moving averages.

Add a function that generates a table or graph, or both, that shows how your returns are doing, with day, month, year, and overall returns in percentage and actual value, as well as for each stock.

Add the MACD-HVIX as per https://www.hindawi.com/journals/mpe/2018/9280590/

Write moving average functions (exponential and simple) in separate file.

Use some basic time-series forecasting techniques to forecast stock price.

Add a function that calculates the holdings of a portfolio (including cash), given:

• stock symbol
• buy date
• buy amount
• sell date
• sell amount

Add a vertical line across all graphs produced by plot_single_analysis when the mouse hovers over any of the graphs. This would be useful for comparing the different values each day.

Additionally:

• Only the bottom axis labels should remain, and all graphs should be rendered with no space between them.
• On hover the values for that specific day should be displayed on each chart (close, volume, MACD).

Make the plotting functions accessible from the stock data class.

Write the plotting functions in the plotting submodule.

Add functionality to calculate the returns, both daily, and annually including dividends.

Start adding the basic simulations from the other repo.

Write the MACD function.

Add vertical bars indicating the daily volume of trades. This should be added to the plot_single_analysis function.

Add a method that implements the MACD function on the data in the StockData class.

The StockData class and containing file should be top level, and import StockData class into the init.py file.