Takeaway:

• Summary: Using behaviour, onchain and financial data to find best possible entries.
• Assets covered: Top 50 ERC-20 tokens, ETH, BTC, XRP, BNB, BCH and LTC
• Metrics used: MVRV, DAA, Trading volume, Non-exchange top 100 holders balance

A while ago we suggested a framework to filter out assets for less risky long and short entries. Basically it's supposed to be based on MVRV and to be confirmed by whales behaviour.

A month has passed, market moved to new status and we'd like to repeat the same steps to find out today's entries.

How is the selection done?

1. 1. A set of top 50 ERC-20 tokens is taken, accompanied by ETH, BTC, XRP, BNB, BCH and LTC

2. This list is extended by Trading volume (24h), Daily Active Addresses (30d) and MVRV (365d) values.

3. Assets with Trading volume < 1M