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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**.