Acyclic_DAWG
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June 20, 2019, 04:21:07 PM |
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How about building an algorithm that can identify scam ICO's.
What defines a SCAM ICO?
Consensus Conditions
Weighted Conditions (How would you weight the following Negative being the worse case, positive being the best case).
Technical components: Technical details and or theory (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Technical team backgound (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Yellow paper (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) White paper (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Uniqueness: (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Adaptabiity: (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Sustianablility (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Help desk (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Dev support (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Project Roadmap (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Project deliverables (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5)
Accountability components[/u] Legal leadership / owners (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Governance and compliance (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Board of directors (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Team Visability (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Team Accessability (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Financial transparency (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Live speakers (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5) Marketing plan (-5. -4, -3, -2, -1,0, 1, 2, 3, 4, 5)
The premise being if a weighted average is in the negative, the conclusion is that a high probability of a scam, if the average medium is plus 3, the risk is reduced and likely hood that this is a legitimate project that is rating high. If the average medium falls between 0-2 a warning that more research is needed in order to conclude.
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