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Exercise 2

The goal of this exercise is to learn to use Pandas on Time Series an on Financial data.

The data we will use is Apple stock.

  1. Using Plotly plot a Candlestick

  2. Aggregate the data to last business day of each month. The aggregation should consider the meaning of the variables. How many months are in the considered period ?

  3. When comparing many stocks between them the metric which is frequently used is the return of the price. The price is not a convenient metric as the prices evolve in different ranges. The return at time t is defined as

  • (Price(t) - Price(t-1))/ Price(t-1)

Using the open price compute the daily return. Propose two different ways without for loop.