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Stakeholder Proposals / Re: [Worker Proposal] BitAsset PhD Research project - University of Colorado
« on: August 21, 2019, 03:10:54 pm »
@biophil:
1. The MCR/MSSR parameter is only a small part of the equation. Before we can optimize these parameters, we need to define and design the system first.
2. Optimization of MCR/MSSR already happened and with the current system we don't have any real edge by tuning these parameters further.
3. Simulations are used, when there is
4. What BitShares need is to implement new market mechanics. For MCR/MSSR this is a back tested algorithm (AI), which tries to minimize:
- System risk
- MCR
- Premium
The committee should only set the weight distribution for system risk, liquidity and premium. The back tested AI algorithm tries to minimize the sum.
1. The MCR/MSSR parameter is only a small part of the equation. Before we can optimize these parameters, we need to define and design the system first.
2. Optimization of MCR/MSSR already happened and with the current system we don't have any real edge by tuning these parameters further.
3. Simulations are used, when there is
- no understanding how the system works -> not the case
- no live data available -> not the case
- need to improve parameters -> already improved
4. What BitShares need is to implement new market mechanics. For MCR/MSSR this is a back tested algorithm (AI), which tries to minimize:
- System risk
- MCR
- Premium
A question back to you: How do you know that 1.5 and 1.01 are the sweet spot? Why not 1.2 and 1?Because we had 1.5 CR for bitUSD after the second price drop.
my question is, why? why do you suppose 1.5 is the lowest, why do you know a lower MCR cannot be better?MCR should be as low as possible and only as high as needed. Without improved market mechanics/liquidity, I see no room to go any lower than 1.5.
The committee should only set the weight distribution for system risk, liquidity and premium. The back tested AI algorithm tries to minimize the sum.