Here’s a mock trading game I learned as a trainee to simulate futures and options market making. This game was commonly used as a day 1 exercise in trading class or when interviewing cohorts of college grads during recruiting “combines”.
You want to deal out enough cards to players (these are the market makers) so that there is about 25 remaining in the deck. There’s some leeway here.
Example:
It’s best to define the tradeable universe to keep the liquidity centralized.
So you could have a diamond market, a spades market, and a “reds” market (which would be an index settling to the sum of diamonds and hearts).
The first trading day
Jen: “I’ll pay 67 for 5 Hearts contracts” (perhaps Jen is holding no Hearts in her hand)
John: “Sold you 5 at 67” (John is holding 16 points of Hearts in his hand)
So for example, if I paid 51 for 4 “clubs contracts” from Mary I would record that information on my paper. Mary would record her sale of the 4 contracts at 51 on her card with me as the counterparty.
Settling the trading day
The last settlement
If I bought 4 clubs contracts for $51 and clubs final settlement was $63 then I made a profit of $12 x 4 or $48. Mary’s loss would match that amount for that trade.
The total P/L of all traders should sum to zero at the end of the game.
So if I paid 3 for Clubs 55 calls and the final settlement was $63 then I profit the difference between the $63 and the strike ($55) minus the premium I outlayed:
$63-$55 – $3 = $5
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N(N+1)/2
So 11×12/2 = 66
Let’s try another. Sum the numbers 1 through 100.
100×101/2 = 5050
Why does this work?
Pair the ends off.
100 + 0
99 + 1
98 + 2
97 + 3
96+4
…continue until 51+49
What do you end up with:
That maps to (N/2) x N+1 or “the middle number occurs N + 1 times”. That 1 term is the “middle 50”.
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