{{ extends 'global/Page.html' }}
{{ block title }}General instructions{{ endblock }}

{{ block content }}
<p>
    In this study, two types of analysts will provide predictions of future (one month from now) stock prices.
    The two analysts are: <b>an algorithmic analyst</b>, i.e., a machine learning algorithm that has learned to predict stock prices based on historical data;
    and <b>a human analyst</b>, i.e., an equity analyst employed by a brokerage house or investment bank.
    Your job is to choose between the predictions from the algorithmic analyst or the human analyst.
    Your payment will depend on the accuracy of the predictions.<br><br>
    <b>At the end of the study, you will be presented with 20 predictions made by both types of analysts.
        Human analysts will be identified by their names and the names of their employers.
        The algorithmic analyst was created using a widely-used machine learning algorithm to predict stock prices from company data.
        The stock prices, human analysts, and the machine learning algorithm are all real, so your conditions resemble actual market conditions.</b>
    <br><br>To be clear, it is the analysts' job to predict the price.
    Your job is to consider how many accurate predictions will be made by the two types of analysts and make choices according to each task instruction separately.
<p>
    We define an accurate prediction as follows: <b>the analyst makes an accurate prediction if it is within $20 of the actual price in one month’s time;
    for example, let’s say the actual price ends up being $123, then any prediction in the range [$113, $133] is considered to be an accurate prediction. </b>
    The accuracy rate of predictions is the number of accurate predictions divided by the total number of predictions.
    For example, if an analyst has made 15 accurate predictions out for the 20 stocks, this means the analyst’s accuracy rate is 75%.
</p>

<p style align="center">
    <b>We are now testing your understanding of the general instructions</b> <br>

</p>
<p>
    <b>Question 1</b><br>
    Which one of the following ranges of predictions is considered to be accurate, if the actual price ends up $101?<br>
    Please select an answer.
</p>
    {{ form.q1 }}
<br>

<p>
    <b>Question 2</b><br>
    If the analyst makes 12 accurate predictions for the prices of the 20 stocks, what is the accuracy rate of the analyst's predictions?<br>
    Please select an answer.
</p>
    {{ form.q2 }}

<br>


{{ next_button }}
{{ endblock }}