📅 Market analysis for September 15, 2026 · data as of 14:00 UTC · powered by live Wealthville Scores
0.0% APR can beat a 500% farm once you price risk.
APR lies; risk‑adjusted yield doesn’t
Fee APR is a snapshot of yesterday’s trades. It spikes on volatility, vanishes when nothing prints, and ignores whether your capital could survive the week. If you’ve rotated into a pool because a card said 300% and then watched volume disappear by morning, you’ve already paid tuition.
WealthVille’s view is simple: compare pools on a risk‑adjusted basis. The field test is trivial and repeatable:
- Start with farmer_score (0–100). This captures realized fee potential and capital efficiency we’ve observed across short windows.
- Divide by risk_score (0–100, where higher = riskier). This downweights anything with venue, token, or liquidity red flags.
- Rank by farmer_score ÷ risk_score. Higher is better.
If a pool screams 500% APR, assume it’s untradeable, emissions‑propped, or wash‑boosted until proven otherwise.
We keep a live board at Best Solana pools (live), but the method is the method. You can apply it to any pool card, any day.
What Farmer Score measures (and what it doesn’t)
The farmer_score summarizes how well an LP could farm from fees right now. It is not a promise, and it isn’t emissions math. It’s our read on realized, repeatable fee potential under current microstructure conditions. Think of it as the “can this pool actually pay me from trading activity if I show up?” signal.
Signals that push the score up
- Recent realized fees across short windows (24h/72h/7d), de‑spiked for one‑off wicks.
- Healthy taker flow relative to depth; fees accruing to LPs, not just crossing inside the same wallet.
- Capital efficiency from the AMM type and range design (CLMM/Whirlpool vs x*y=k).
- Spread capture and fill ratio in volatile hours, not just during sleepy tape.
What doesn’t move it much
- Temporary emissions unless they’re actually reaching LPs as realized PnL.
- TVL by itself. A big pool can still be dead money without flow.
- One giant candle. We haircut isolated spikes that never repeat.
If you want a longer take on why emissions and headline APR keep rug‑pulling attention, see our field report: These Solana LPs Beat 500% APR Hype Once You Price Risk.
Risk Score: the penalty that makes two 100s look different
The risk_score runs 0–100 where higher = riskier. It’s a composite of venue, token, and liquidity structure. Two pools can share a perfect 100/100 farmer_score and still not be equal once you price risk. That’s the point.
Venue & contract surface
- AMM engine and invariants (Classic AMM vs CLMM/Whirlpool), upgrade practices, and incident history. Primary docs: Orca, Raydium.
- Admin authority posture and permissions, including pause and fee switches where applicable.
Asset & market quality
- Token provenance, float distribution, and age; probability of listings or delistings that swing flow.
- Oracle dependency or lack thereof; known depegs or clawbacks.
Liquidity shape & IL profile
- Depth vs. expected volatility; range width for CLMMs; concentration risk in the top bins.
- Correlation between assets (USDC pairs vs two small caps), which sets your IL tail.
We do not hand out zeroes. Everything carries market, contract, or behavioral risk. The score simply tells you how much penalty the yield should eat, now, given the surface we can see.
The formula: farmer_score ÷ risk_score
We rank pools by a single number you can compute in your head. Higher is better.
- Risk‑adjusted score = farmer_score ÷ risk_score.
- With two equal farmer_scores, the pool with the lower risk_score wins.
- With two equal risk_scores, the pool with the higher farmer_score wins.
Yes, it’s that direct. Sensible investing often is.
Worked examples with live Solana pools
All four pools below show farmer_score of 100/100, which makes them perfect “control” pools to see the effect of risk. Here are the exact numbers from their live cards at time of writing, and the risk‑adjusted ratio we compute from them.
BOOP-USDC on Orca Whirlpool
- TVL: $195K
- 24h volume: $0
- Fee APR: 0.0%
- farmer_score: 100/100
- risk_score: 39/100
- Risk‑adjusted score: 100 ÷ 39 = 2.56
Counterintuitive at first glance. Zero daily volume, yet it ranks highest on a risk‑adjusted basis among these four because the penalty is low. A small, clean venue surface plus a defensible asset mix can beat noisier pairs once you strip out headline APR. If flow returns, this ratio starts compounding in your favor immediately. If it doesn’t, you weren’t paid to wait; but you also didn’t overpay for risk.
SOL-CYLA on Raydium AMM
- TVL: $160K
- 24h volume: $1
- Fee APR: 0.0%
- farmer_score: 100/100
- risk_score: 70/100
- Risk‑adjusted score: 100 ÷ 70 = 1.43
The fee potential flags green, but the penalty is higher. You’re taking on more asset and structure risk than BOOP-USDC for the same fee signal. If you must choose one seat for the same unit of risk budget, the math says choose the higher ratio.
SOL-RIFT on Raydium AMM
- TVL: $129K
- 24h volume: $3
- Fee APR: 0.2%
- farmer_score: 100/100
- risk_score: 79/100
- Risk‑adjusted score: 100 ÷ 79 = 1.27
Here the headline APR is higher than SOL-CYLA and BOOP-USDC. The ratio is lower. That’s the trap. You can prefer a 0.2% print if you want, but you’re paying a stiffer risk penalty for it.
STONK-FLYWHEEL on Raydium CLMM
- TVL: $119K
- 24h volume: $0
- Fee APR: 0.2%
- farmer_score: 100/100
- risk_score: 82/100
- Risk‑adjusted score: 100 ÷ 82 = 1.22
Capital‑efficient engine, yes. But the risk penalty is the highest in this set. If you chase the APR without the denominator, you’re voting for the weakest risk‑adjusted seat of the four.
Ranking by risk‑adjusted score alone, the order goes:
- BOOP-USDC: 2.56
- SOL-CYLA: 1.43
- SOL-RIFT: 1.27
- STONK-FLYWHEEL: 1.22
That’s the same data you see on the pool cards, transformed by one division sign. Nothing fancy. Plenty powerful.
How to use the score in your daily rotation
You don’t need a PhD or 24 monitors. You need a routine and discipline.
- Open Best Solana pools (live). Sort by farmer_score. Star anything ≥90.
- Pull the risk_score for each star; compute the ratio in your head or on your phone.
- Allocate risk budget to the top 2–3 ratios across uncorrelated pairs. Correlation matters more than TVL.
- Set exit triggers by ratio, not by APR. If risk_score jumps or farmer_score fades, the ratio tells you to rotate.
- Use AI Signals to catch regime flips (fee bursts, spread expansion) without babysitting the chart.
One more habit: journal your entries with the ratio at the time you LP. When you exit, write that ratio down too. Over a month, you’ll see the pattern: entries with a strong ratio and a rising farmer_score outperform your gut picks that chased a spike.
Edge cases, caveats, and what the score will not do
- Zero volume today is not a death sentence. As you saw with BOOP-USDC, a strong denominator can keep a pool near the top while it idles. The moment flow returns, you’re not fighting a risk overhang.
- Big APR spikes are often untradeable. Spread widens, MEV eats fills, and the next day’s score collapses. Our earlier post, pricing risk beats 500% APR hype, shows live cases.
- Venue differences matter. Orca Whirlpool concentrates liquidity in ranges; Raydium runs both AMM and CLMM designs. Read their docs (Orca, Raydium) and understand where your capital actually sits.
- The ratio is not a guarantee. It’s a better ruler. A token can still nuke, a venue can still upgrade, and volume can still ghost you.
- IL still belongs to you. The score doesn’t make correlation disappear. A SOL‑paired memecoin that rips against SOL will mark your position accordingly.
If you want a running feed of setups that meet a minimum ratio and liquidity depth screen, keep an eye on the Best Solana pools board during your rotation window. When the tape is alive, the leaderboard moves.
FAQ
Why divide by risk_score instead of subtracting it?
Division scales the penalty relative to the size of the opportunity. A 10‑point risk increase hurts a weak farm more than a strong one, as it should. Subtraction flattens that relationship and can make small, risky farms look too similar to large, safer ones.
What does a risk_score of 39 vs 82 actually mean?
Lower is safer in our system. A 39 suggests fewer red flags across venue, assets, and liquidity shape than an 82. When two pools share the same farmer_score, the 39 gets a bigger risk‑adjusted boost because you’re taking less structural risk for the same fee potential.
How do I compare a CLMM to a constant‑product AMM with this score?
You don’t need a special formula. The farmer_score already considers realized fee capture under the engine in question, and the risk_score reflects the engine’s surface and range risks. Divide and rank. If you want to understand each engine’s mechanics, read the primary docs for Orca and Raydium.
Should I ever pick a lower ratio?
Only if you have a thesis that isn’t represented by the score yet (for example, an upcoming catalyst you trust). Otherwise, the ratio is a cleaner selector than gut feel. Over many rotations, the higher ratio tends to win.
Does TVL matter if the ratio is high?
It matters for slippage and entry/exit size. A great ratio in a $50K pool won’t fit a $1M book. For most active LPs, anything above low six figures is workable. Always click through the live page and check depth and bins before sizing.
Where can I see these pools and ratios live?
Start on the Best Solana pools (live) board. For the specific pools discussed here, see BOOP-USDC, SOL-CYLA, SOL-RIFT, and STONK-FLYWHEEL. For regime flips, watch AI Signals.
