Crypto rebalancing premium

Rebalancing a basket of volatile, imperfectly correlated coins back to target weights sells a coin that grew and buys one that shrank. In a portfolio that mean-reverts relative to itself, that discipline is sometimes called a rebalancing premium. It is a portfolio rule. It is not a claim that each coin will rise, and it fails when one coin trends and the others die.

Not investment advice. Nothing here is a recommendation to buy or sell anything. Backtests and historical studies are not guarantees, and a rule that worked in one sample can fail in the next. Trading can lose money. Links are for education, not endorsements. Do your own research.

Rules

Choose a fixed universe and fixed weights, such as equal weight among a small set of large coins that existed at the start. Rebalance on a calendar, monthly or quarterly, or when a weight breaches a band. Trade on liquid venues and include the fee. Do not add a new coin mid-test because it is popular, and do not drop a coin because it fell unless the rule says to drop listings that no longer trade.

Where AI fits

AI can simulate the band or calendar with fees, forks, and delistings, and it can compare rebalancing with buy-and-hold of the same initial weights. The comparison is the whole point. A backtest that rebalances today's winners as if they were in the original universe is not acceptable.

Markets

A small set of the most liquid cryptocurrencies. Long-tail tokens do not belong in an equal-weight basket you intend to rebalance.

Timeframes

Monthly or quarterly, or a threshold band checked daily.

Risks

If one asset trends forever, rebalancing sells the winner and buys the losers. Correlation goes to one in a crash, which removes the diversification the premium assumes. Fees, spreads, and taxable events eat a small premium. Exchange and custody risk sit outside the weight math.

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