Solana Pools That Win on Risk-Adjusted Yield, Not Headline APR

📅 Market analysis for September 2, 2026 · data as of 14:00 UTC · powered by live Wealthville Scores

A 49.6% APR pool just beat a 163.7% one once you price the risk.

Headline APR lies to LPs

Chasing the brightest number is how you end up underwriting other people’s exits. What pays is expectancy. That means fees that repeat and risk that doesn’t. When you weight return by the odds it actually sticks around, the leaderboard changes fast — and some sacred cows fall off the page.

Below we rank the live Solana pools by risk-adjusted return (farmer_score divided by risk_score). The idea is simple: a pool scoring 80 on farming quality with an 18 risk ends up far more attractive than a flashy 160% fee print on a pool that carries a 27 risk. It’s not purism. It’s edge.

Rule of thumb: a ratio above 3 is a position you can size; 2–3 is a trade; under 2 is a headline.

How WealthVille reads return and risk

WealthVille publishes two composite metrics that matter to working LPs and traders:

• farmer_score (0–100) — how repeatable and extractable the pool’s fee opportunity looks, given current microstructure and regime.
• risk_score (0–100) — the tail risk you underwrite by sitting in the pool, from contract to liquidity and token behavior.

They’re built from live market and protocol data, not vibes. Here’s the short version so you can read them like a pro.

farmer_score: fees you can actually capture

• Fee density and persistence across 1d/7d/30d, not just today’s print.
• Volume-to-TVL (slippage paid by flow), spread quality, and fill ratios by venue design (AMM vs CLMM vs DLMM).
• Mean reversion and volatility clustering — how often price re-enters your range so you harvest instead of sit idle.
• Emissions are discounted hard; see our stance in Stop Chasing Emissions: Fee APR Is the Only Yield That Lasts.

risk_score: the tails that kill you

• Contract and venue: audits, upgrade keys, concentration risk, oracle/MEV quirks per design (Raydium CLMM, Orca Whirlpool, Meteora DLMM). Docs: Raydium CLMM, Orca Whirlpools, Meteora DLMM.
• Token risk: centralized bridges, thin orderbooks, and event skew that spikes IL.
• Liquidity depth vs daily flow: how quickly your LP shares get dragged offside in a trend.
• Operational: paused pools, fee switches, LP migration patterns.

The ratio — RAR = farmer_score / risk_score — is your quick filter. Think of it as “how much farming quality per unit of risk.”

The current top risk-adjusted pools (by RAR)

Sorted by farmer_score divided by risk_score, here’s where the expectancy sits right now:

• SOL‑USDC on raydium‑clmm — TVL $6.98M, 24h vol $24.20M, fee APR 49.6%, farmer 80, risk 18, RAR 4.59 — pool 3ucNos4NbumPLZNWztqGHNFFgkHeRMBQAVemeeomsUxv.
• SOL‑USDC on raydium‑amm — TVL $14.08M, 24h vol $12.08M, fee APR 79.6%, farmer 80, risk 17, RAR 4.58 — pool 58oQChx4yWmvKdwLLZzBi4ChoCc2fqCUWBkwMihLYQo2.
• MOVR‑USDC on raydium‑clmm — TVL $82.05M, 24h vol $851K, fee APR 0.0%, farmer 30, risk 8, RAR 3.93 — pool DahUGyzYMgKVMqNR8ve2EtG11SJ2MFUff8otaC8qBnc.
• ANTFUN‑USDT on meteora‑dlmm — TVL $52.46M, 24h vol $15.95M, fee APR 3.1%, farmer 57, risk 15, RAR 3.75 — pool 54Vp27uLaw4wNLo5n7r4fcC6zLamoQc28xBARjss4EUJ.
• SOL‑USDC on meteora‑dlmm — TVL $1.88M, 24h vol $1.71M, fee APR 58.4%, farmer 64, risk 18, RAR 3.61 — pool BVRbyLjjfSBcoyiYFuxbgKYnWuiFaF9CSXEa5vdSZ9Hh.
• SOL‑USDC on meteora‑dlmm — TVL $3.72M, 24h vol $8.16M, fee APR 73.5%, farmer 79, risk 23, RAR 3.45 — pool BGm1tav58oGcsQJehL9WXBFXF7D27vZsKefj4xJKD5Y.
• SOL‑USDC on orca‑whirlpool — TVL $24.75M, 24h vol $120.20M, fee APR 74.3%, farmer 68, risk 20, RAR 3.38 — pool Czfq3xZZDmsdGdUyrNLtRhGc47cXcZtLG4crryfu44zE.
• USDC‑USDT on raydium‑clmm — TVL $3.61M, 24h vol $1.44M, fee APR 1.2%, farmer 50, risk 16, RAR 3.04 — pool BZtgQEyS6eXUXicYPHecYQ7PybqodXQMvkjUbP4R8mUU.
• SOL‑USDC on meteora‑dlmm — TVL $5.17M, 24h vol $38.22M, fee APR 103.3%, farmer 85, risk 28, RAR 3.02 — pool 5rCf1DM8LjKTw4YqhnoLcngyZYeNnQqztScTogYHAS6.
• ZEC‑USDC on orca‑whirlpool — TVL $2.99M, 24h vol $7.86M, fee APR 163.7%, farmer 77, risk 27, RAR 2.84 — pool GTHKH8s82ZR8GTSFZ1dUu6wfdxhy59wpMShxzG5zjiPm.

Two takeaways jump out:

• SOL‑USDC rules the risk‑adjusted board across venues, even when a memish or thin asset flashes bigger APR. Depth, two‑sided flow, and tight spreads keep the farmer_score high, while venue and token risks stay contained.
• High APR can rank lower on RAR. The ZEC‑USDC Whirlpool’s 163.7% fee APR is real. But its risk 27 pushes the ratio to 2.84, placing it below several SOL‑USDC pools with 49.6–103.3% APR because their farmer/risk mix is cleaner.

SOL‑USDC venue showdown: why CLMM and AMM top out

Four variants of the same pair make the cut. That’s not a coincidence. It’s microstructure.

• Raydium CLMM (RAR 4.59): Tight ticks and deep flow. With $6.98M TVL against $24.20M 24h volume, the fee density is honest, and a risk 18 says the venue/token combo doesn’t add nasty tails. If you range narrow near the touch, you collect repeatedly.
• Raydium AMM (RAR 4.58): Simpler curve, similar farmer_score 80 with an even lower risk 17. Despite lower volume ($12.08M) on higher TVL ($14.08M), the capture rate stays high because flow is constant and slippage costs get paid by traders, not you.
• Meteora DLMM (RARs 3.45 and 3.61): Bin‑based routing lets you concentrate where the fees are. Farmer 64–79 vs risk 18–23 says the design helps, but bin maintenance and potential fragmentation keep the risk a tad higher.
• Orca Whirlpool (RAR 3.38): $120.20M in 24h volume is massive on $24.75M TVL. Still, a farmer 68 and risk 20 reflect that tight ranges need attention and that volatility can strand you out of range during fast legs.

What to do with that? If you run a core SOL‑USDC book, consider splitting across CLMM and AMM, then add a DLMM slice only if you’ll tend bins. Orca’s depth is a gift for active re‑rangers. The key is staying where the fee engine repeats, not where the chart screams.

The weird one: MOVR‑USDC with 0.0% fees, yet a 3.93 ratio

Yes, it’s odd. MOVR‑USDC on Raydium CLMM shows a 0.0% fee APR on $851K 24h volume and still clocks a farmer_score 30 vs risk 8 (RAR 3.93). How does that square?

• farmer_score ≠ today’s APR. It bakes in fee persistence across timeframes, reversion behavior, and venue fills. A dead 24h print doesn’t zero a pair that’s usually productive.
• Risk can be genuinely low on a well‑behaved cross if the pool’s contract and tokens pass the structural checks. That’s how an 8 risk happens.

Does this mean you pile in? No. It means: put it on a watchlist and require confirmation. If fee density doesn’t reappear in the next window, the farmer_score will sag and the ratio will fall under 3. Treat high‑RAR, low‑APR anomalies as alerts, not allocations.

Memes and minors: why ZEC‑USDC and ANTFUN‑USDT sit below SOL‑USDC

Two more interesting cases:

• ZEC‑USDC on Orca flashes 163.7% fees on $7.86M vol and $2.99M TVL. The farmer 77 is solid, but the risk 27 reflects thinner books and event risk in the quote. The RAR 2.84 says trade it with timing, don’t size it like core inventory.
• ANTFUN‑USDT on Meteora shows 3.1% fees on real volume ($15.95M) with a stout farmer 57 and risk 15. RAR 3.75 is quietly respectable. If you must farm a non‑SOL major, this is closer to a steady fee engine than a roulette wheel.

That contrast is the point: the ratio catches whether the pool is paying you for a grind or for a spin.

Turning RAR into positions: sizing, ranges, and exits

RAR is not an endpoint. It’s a throttle for how you deploy and maintain risk.

• Position sizing: Above 4? It can be a core slice. 3–4? Starter weight and scale with confirmation. 2–3? Tactical; use a timer or a trigger. Under 2? Pass unless you’re day‑trading ranges.
• Range width: Higher RAR supports narrower bands on CLMM/DLMM because reversion is more likely and risk is lower. Lower RAR requires wider ranges or AMM exposure to avoid whipsaw IL.
• Cross‑venue splitting: If Raydium AMM and CLMM both clear 4 (they do), split 60/40 or 50/50 to reduce venue‑specific tails while keeping farmer_score high.
• Exit rules: If farmer_score falls two deciles or risk_score jumps five points, expect the ratio to compress. Cut or widen. Don’t debate it.
• Re‑compounding cadence: On high‑RAR majors, weekly adds are fine. On tactical 2–3 RAR pools, harvest faster. Fees fade.

If you’re newer to DLMM bins, we covered when DLMM beats CLMM for volatile pairs in Where Meteora DLMM Beats Raydium: Volatile Pairs, Real Fees. The gist: use bins when the ratio is high and you can tend; default to CLMM/AMM if you want to set‑and‑skim.

Related pools to practice the read

RAR isn’t just for today’s list. Apply it to the long tail and you’ll avoid most traps. Pull up a few live pages and sanity‑check fee density vs risk:

• 888‑SOL — meme/major mix; watch how risk jumps on event days.
• BOOP‑USDC — thin book behavior can inflate APR briefly; the ratio will keep you honest.
• SOL‑CDR — a SOL‑quoted long tail; compare its RAR to the SOL‑USDC majors above.
• SOL‑SPDR — check how DLMM/Whirlpool variants differ on the same narrative coin.

Then keep a tab open with the live boards: Best Solana pools (live) and the big‑money context on Top Solana pools by TVL. For short‑horizon entries, the AI Signals feed flags early shifts in fee density.

One clear opinion: stop sizing to APR

As an LP, your job isn’t to find the loudest percentage. It’s to find the combination of flow, depth, and design that keeps paying you without demanding heroics. On Solana this week, that’s SOL‑USDC across multiple venues, with RARs from 3.38 to 4.59. Not ZEC‑USDC with 163.7%. Not the zero‑print novelty that might wake up tomorrow. Size where the ratio says the grind will continue. Leave the fireworks to people who need screenshots.

FAQ

What RAR threshold should I use for new positions?

Above 3 is the quick filter. 3–4 supports a meaningful starter size that you scale as fee persistence confirms. Above 4 can be core. Under 3 means you’re timing, not investing — trade it small or pass.

Why does a pool with lower APR beat a higher APR one on RAR?

Because the ratio weights fee repeatability and tail risk. A 49.6% APR SOL‑USDC with farmer 80 and risk 18 (RAR 4.59) beats a 163.7% APR ZEC‑USDC with farmer 77 and risk 27 (RAR 2.84). Expectancy wins over spectacle.

How often do farmer_score and risk_score update?

They reflect live inputs (volume, spreads, reversion, venue and token conditions) and move intra‑day. Use them as a real‑time filter, then confirm with your own range logic before allocating.

Does a 0.0% fee APR pool with a high RAR deserve capital?

Treat it as a watchlist candidate. The high ratio can reflect historical fee density and low structural risk. If fees don’t reappear within your window, stand down; the ratio will compress as the farmer_score decays.

How should I split across venues for the same pair?

If multiple venues clear your RAR threshold, split to reduce venue‑specific tails. For SOL‑USDC, a Raydium CLMM/AMM split works well; add a DLMM or Whirlpool slice if you’ll actively tend bins/ranges.

Where can I see updated rankings and opportunities?

Track live boards on Best Solana pools and Top Solana pools by TVL, and scan fast movers on the AI Signals feed. We also cover repeatable setups on the Opportunities feed.