How to Read the Forecast Poll charts
This chart informs about the average forecast prices, and also how close (or far apart) sit the numbers from all participants surveyed that week. The bigger a bubble on the chart, means more participants targeting a certain price level in that particular time horizon. This distribution also tells if there is unanimity (or disparity) among participants.
Each participant's bias is calculated automatically based on the week's close price and recent volatility. Drawing from those results, this chart calculates the distribution of bullish, bearish, and sideways forecast prices from all participants, informing about sentiment extremes, as well levels of indecision reflected in number of “sideways”.
By displaying three central tendency measures (mean, median, and mode), you can know if the average forecast is being skewed by any outlier among the poll participants.
In this chart, the close price is shifted behind so it corresponds to the date when the price for that week was forecasted. This enables the comparisson between the average forecast price and the effective close price.
This chart tracks the percentage change between the close prices. Bouts of volatility (or extreme flat volatility) can be then compared to the typical outcome expressed through the averages.
This measure is basically an arithmetical average of the three central tendency measures (mean, median, and mode). It smooths the typical outcome eliminating any possible noise caused by outliers.
Together with the close price, this chart displays the minimum and maximum forecast prices collected among individual participants. The result is a price corridor, usually enveloping the weekly close price from above and below, and serves as a measure of volatility.