I would like to test how different odds influence betting behavior. After the market closes, I will call @FairlyRandom to generate a number from 1 to 100. If the number is between 1 and 95, this market resolves to YES; otherwise, it resolves to NO. I will also record betting behavior for this and related markets with varying odds and analyze the data statistically to look for patterns in participants’ decisions.
🏅 Top traders
| # | Trader | Total profit |
|---|---|---|
| 1 | Ṁ535 | |
| 2 | Ṁ313 | |
| 3 | Ṁ254 | |
| 4 | Ṁ245 | |
| 5 | Ṁ210 |
People are also trading
@HillaryClinton I don't know the exact details, but when profitable users make small bets (or when unprofitable users make large bets), Dagonet tries to compensate (by betting in the same direction as profitable users and against unprofitable users). On average, that seems to be a good strategy. Markets with known odds are the exception. https://www.sidequests.space/dagonet/
