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Comment: Sure, let's give an example...

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Cyril's picture

Sure, let's give an example...

Avg. Price is the average over listed items, doesn't tell you anything about coins content specifics (sorry) ... It's only over all listings.

Example - voluntarily artificial (see big offset induced by listing #3)

say you have 4 listings over a given period:

listing 1: 20 coins last bid at $100 (e.g., silver quarters)
listing 2: 10 coins last bid at $300 (e.g., 10 troy ounces, .999 silver)
listing 3: 100 coins last bid at $3,000 (idem, for 100 ounces)
listing 4: 8 coins last bid at $200

(input data)
Avg. Price = ( 100 + 300 + 3,000 + 200 ) / 4 = 3,600 / 4 = $ 900

(input data)
Sell Through % (listings successfully sold within the period) = 60 %

(made up formula)
Silver Demand Avg. = 4 * 900 * 0.60 = $ 2,160 (over the period)

Note the latter is just MY own naive interpolation: main purpose is only to reveal a trend between periods of same lengths, separated by several months, not to reflect what exactly was traded qualitatively in those. Doesn't seem aberrant, though(?)

Of course, the longer the period, the better.

Makes better sense?

"Cyril" pronounced "see real". I code stuff.

http://Laissez-Faire.Me/Liberty

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