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RE: Analyzing the crypto market with Python
Your strategies seem to be following the trends. It would be interesting to test 'buy the dip' strategies, eg:
Strat 1
Filter: Top 30 coin over last 26 weeks (i.e. quality)
Action: Sell when price rises 20% above average price movement of all other quality coins.
Buy when price falls 20% below average price movement of all other quality coins.
Strat 2:
Filter: Randomly choose 20 coins from top 100
Action: Same as strat 1 (to test difference)
I think trading volumes for the top 100 alt coins whether they are gainers or losers give a good indication of potential. I agree with you