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Is it worth to take an individual RAI position? Static Simulations & Automated Strategies
Up to date by October 2022
Authors: Danilo Lessa Bernardineli (BlockScience) and Michael Zargham (BlockScience)
This document describes some of the prior work done in order to measure the rationality of creating and manipulating an individual RAI position based on the market and controller conditions. Static Simulations were done in order to provide readily consumable benchmarks, while work on describing the space of repositioning strategies and their relationships to the system were initialized in order to collect requirements for how an comprehensive automated trading strategy should be.
Static Simulation of an RAI position
For measuring the baseline rationality of creating an RAI position, we've done an static simulation on which we execute an specific strategy and create benchmarks using counter-factual scenarios in order to compare the relative ROI.
Conclusions
Key Assumptions
Position Strategy
Counterfactual Scenarios
Spreadsheet for the Static Simulation
Automated Strategy
We've been collecting requirements for what should an automated strategy achieve in order to fullfill the full potential that the RAI admissible set of actions can achieve.
On the most fundamental form, an complete bot should be able to execute 6 types of repositioning strategies, as described on Fig 1 which are as follows.
Fig 1. Potential strategies for an RAI position automaton
More specifically, strategies A and B are illustrated by figure 2.
Fig 2. Strategies for the transitions A and B
More generally, the relationships between an individual SAFE, the secondary market, and the controller are described by figure 3.
Fig 3. Relationships between the Position and the Primary and Secondary Markets