4 posts tagged with "concentrated-liquidity"

On May 8, 2026 I published a strategy on this site for farming the 255% APY narrow band in the Orca SOL/USDC 0.04% pool: stack buckets at different widths, keep ~70% of capital in the tightest range, rebalance daily off Python price analysis, compound the fees.

I then ran it. Not with money — in simulation, against live SOL price feeds and live Orca pool state, for 93 days, across seven distinct strategy configurations and two complete architecture rewrites.

It lost. Not marginally, and not because of a bad regime. It lost in the regime it was designed for, and the reason turns out to be an arithmetic identity rather than a statistical result.

Total capital at risk across the entire project: $0. Every number below is paper. That is the only part of the original plan that worked out.

Here is the whole post-mortem, and the complete 31-page research paper behind it — every ledger, every trade, every defect, free to download.

There is a 250% APY range sitting inside the SOL/USDC pool on Orca right now. It is narrow — less than 6% wide — and it will kick you out the moment SOL makes a meaningful move. Most LPs ignore it because it feels too fragile. The strategy here is to stop ignoring it, and instead build a system around it.

We have written before about how our effectively non-concentrated, full-range Uniswap v4 positions keep doing their job in the background. That is still true.

Meanwhile, some of our concentrated SOL/USDC positions have been priced out by the recent move lower. Could we rebalance them? Yes. But right now that would mean adjusting into weakness and likely locking in a loss just to get active again. So for the moment, we are waiting.

The contrast is worth highlighting: while the SOL/USDC ranges are idle, these two small Uniswap v4 positions on Ethereum are still earning.

One of the most common questions we get from liquidity providers is: "What price range should I use for my SOL/USDC concentrated liquidity position?"

The answer isn't simple-it depends on your risk tolerance, time horizon, and market outlook. But by analyzing historical price action, technical levels, and practical LP strategies, we can identify ranges that work for different types of liquidity providers.