→ use matura paper (i described logarithmic regression etc.)

→ increasing the E(x)

→ blue chips, mid caps, low caps

→ look at different dominances of individual coins (e.g. most altcoins bleed 90% of the time and then only in peak of bull market go crazy)

→ be careful with altcoins (very crucial to note that the 5 year survival of coins is very low)

→ use risk metric to as a heuristic for finding promising coins (remember: it is very likely that 90% of crypto coins go to 0 within 10 years), probably only the best will stay and maybe even all will go to 0 (→ focus on coins with actual adoption/higher probability like coins that have been around long/have high usage/have many projects building on them (i.e. use case) like layers 1s..)

→ no knowledge about the technology/usefulness etc. is necessary (green lumbar fallacy)

• ontological subjectivity and fragility of social constructs (include in long-term crypto thesis)
• logarithmic nature of bitcoin trend