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Macro economic model for Chicken Bonds #5
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Chicken bonds with AMMSame as before but now with sTOKEN / TOKEN AMM:
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Chicken bonds with AMM and rebondingSame as before but now 20 out of the 100 users will always try to rebond right after they reach the cap (it’s not yet the best strategy, they should wait more due to the toll for the AMM). They are brave chicks and never chicken out. As shown in the last chart, they are outperforming their lazier or more coward fellows, but to do a fair comparison we should optimize regular chicken in/up strategies and have the same behaviour about chicken outs. Another clear difference appears in the initial stage: rebonders take longer to start chickening in, as they always chicken in (50%) or up (50%) right after they reach the cap, not before nor afterwards, and that implies:
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Chicken bonds with AMM and dynamic tollSame as “Chicken bonds with AMM” but now with dynamic toll. This means that instead of diverting always 20% of the funds to the AMM, the percentage will vary. The curve followed is the purple one here: https://www.desmos.com/calculator/6ze6tloxk3 where x-axis is the ratio between price and backing ratio. So the higher the market price compared to the redemption price, the higher the toll rate, capped at 50% to avoid throttling the system too much.
The most important difference we can observe (2nd chart) is that now the premium, the difference between backing ratio (redemption price) and both reserve price (fair price) and market price is lower. Due to a smaller toll and less aggressive target profits, chicken-ins are more frequents, which leaves less outstanding bonds on average. |
Vanilla Chicken Bonds
First approach with only bonds, no AMM, no lending.
4 years run
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