πΈCost & Benefit
If we put in the cost and the quantity factor of sales, we will get the following cost-and-benefit relationship:
Single team (40,000 in total)
Sell 5000 tickets, the average price of options is 3.428 USDC, the highest price is 3.918, and the theoretically recoverable is 3.428*2=6.856 USDC after winning the championship (other teams also sell the same amount)
Sell 10,000 pieces, the average price of Option is 4 USDC, the highest price is 5.33, and you can theoretically recover 42= 8 USDC
Sell 15,000 tickets, the average price of Option is 4.8 USDC, the highest price is 7.68, and you can theoretically recover 4.8*2= 9.6 USDC after winning the championship
Sell 20,000 pieces, the average price of Option is 6 USDC, the highest price is 12, and you can theoretically recover 6*2= 12 USDC after winning the championship
Sell 25,000 copies, the average price of Option is 8 USDC, the highest price is 21.33, and you can theoretically recover 8*2= 16 USDC after winning the championship
Sell 30,000 copies, the average price of Option is 12 USDC, the highest price is 48, and after winning the championship, you can theoretically recover 12*2= 24 USDC
If all teams sell all 20,000 options (a total of 40,000 tickets), and team A wins the championship, the final return is double the average price of 8 USDC sold 20,000 tickets, that is 16 USDC. The first buyers who spend 3 USDC to buy can get 4 times more income, and the later buyers, despite the decline in income, can still get quite considerable income.
In this model, we will find that users who participate early are the most profitable at every stage.
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