“Auto rebalancing sounds smart—does it really help you predict price moves?”
Putting a basket of assets into a single token is convenient. But the phrase “intelligent portfolio” can easily make people imagine that every day an AI is watching the market and trading for them.
CoinDesk discussed Ondo’s portfolio products today. Going back to the official announcement from September 24, the first three strategies use portfolio designs created by BlackRock for Ondo, which Ondo then implements. The asset allocations and target weights are set at the start, and the portfolio is rebalanced on a fixed schedule.
That’s different from making real-time judgments about which stock will rise next.
For example: suppose two types of assets are initially set to a 50/50 split, but one type starts outperforming more quickly. Restoring the original proportions may require selling some of the stronger-performing assets and topping up the other asset class. Selling doesn’t necessarily mean the manager suddenly became bearish—it may simply be that the rules have reached the time to execute.
When looking at the ONDO-related narrative, I’d be more interested in the rebalancing rules and execution costs. Setting up your own ETH or SOL portfolio works the same way: first decide what level of risk you want to maintain, then assess whether automation actually helps you achieve it. You shouldn’t confuse execution discipline with predictive ability.
I’ll also make sure to distinguish who provides the strategy and who is responsible for execution. The involvement of well-known institutions in the design doesn’t prevent the portfolio from losing money, and it doesn’t mean someone is standing behind every single trade.
Automation may reduce execution mistakes, but it can’t automatically make the judgment correct.
The image is a photo from New York Stock Exchange materials, not from a product launch event.
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Putting a basket of assets into a single token is convenient. But the phrase “intelligent portfolio” can easily make people imagine that every day an AI is watching the market and trading for them.
CoinDesk discussed Ondo’s portfolio products today. Going back to the official announcement from September 24, the first three strategies use portfolio designs created by BlackRock for Ondo, which Ondo then implements. The asset allocations and target weights are set at the start, and the portfolio is rebalanced on a fixed schedule.
That’s different from making real-time judgments about which stock will rise next.
For example: suppose two types of assets are initially set to a 50/50 split, but one type starts outperforming more quickly. Restoring the original proportions may require selling some of the stronger-performing assets and topping up the other asset class. Selling doesn’t necessarily mean the manager suddenly became bearish—it may simply be that the rules have reached the time to execute.
When looking at the ONDO-related narrative, I’d be more interested in the rebalancing rules and execution costs. Setting up your own ETH or SOL portfolio works the same way: first decide what level of risk you want to maintain, then assess whether automation actually helps you achieve it. You shouldn’t confuse execution discipline with predictive ability.
I’ll also make sure to distinguish who provides the strategy and who is responsible for execution. The involvement of well-known institutions in the design doesn’t prevent the portfolio from losing money, and it doesn’t mean someone is standing behind every single trade.
Automation may reduce execution mistakes, but it can’t automatically make the judgment correct.
The image is a photo from New York Stock Exchange materials, not from a product launch event.
$ONDO $ETH $SOL
Tap my avatar to view live trades with orders