📅 Market analysis for July 19, 2026 · data as of 14:00 UTC · powered by live Wealthville Scores
A 500% APR can still lose to a 21% pool once you price risk.
APR is a trap: weight return by risk, not hype
LPs get paid in fees they actually capture, not in screenshots. When you stack pools by headline APR, you overweight volatility spikes and underweight survival. We rank them by risk-adjusted return (RAR): the pool’s farmer_score divided by its risk_score. Today, that flips the board.
APR is a weather report. Risk-adjusted return is the climate you farm in.
On the live sheet, the highest RAR is a memecoin pair that isn’t the riskiest. Three Jimothy-SOL DLMM pools sit at the top with RAR 2.46–2.62. Meanwhile, a blue-chip 21.4% APR also scores well: SOL‑USDC Whirlpool clocks a 2.26 RAR. That’s the whole point: rarer is better when it reflects fees you can actually harvest per unit of risk.
If you’re new to our risk-adjusted framework, start with the long-form explainer: Stop Chasing 500% APR: Rank Solana Pools by Risk-Adjusted Yield. Or check the live board on Best Solana pools for up-to-the-minute shifts.
What farmer_score and risk_score actually measure
We present both numbers on a 0–100 scale, updated intraday. They’re designed to be used together.
Farmer score: how well a pool pays LPs, not traders
- Realized fee intensity: recent fee APR derived from volume-in-range and actual fee tiers, not just price jumps.
- Turnover quality: 24h volume relative to TVL and how much traded inside LP ranges (range hit-rate).
- Consistency: how spiky fees were versus their 7–30 day baseline.
- Depth and fill: slippage at common sizes and how often blocks cross your bins/bands.
- MEV/toxicity penalty: flow patterns that tend to extract from LPs are discounted.
Risk score: how likely you are to give it back
- Price path risk: realized volatility of the pair and tail moves versus bandwidth of common LP ranges.
- Out-of-range probability: how often positions would have gone idle given typical bin/band widths.
- Token quality: centralization, supply unlocks, freeze authority, and rug history for non-majors.
- Protocol and pool profile: pool age, upgrade cadence, concentrated AMM mode (DLMM/CLMM), and liquidity fragmentation.
- Liquidity structure: skew, imbalance, and mercenary TVL that can vanish mid-move.
Put simply: farmer_score says “how rich the faucet is,” risk_score says “how often the faucet gets shut off or sprays you in the face.” The ratio is your quick filter:
- RAR = farmer_score ÷ risk_score. Example: 82/31 = 2.64 (reported as 2.62 due to rounding elsewhere).
- RAR ≥ 2 with healthy volume is a strong first pass for sizing capital.
- RAR < 1.5? Often too spicy or too stingy for anything but flypaper allocations.
You can also scan our Opportunities feed or AI Signals to catch flips as volatility concentrates.
The current RAR leaderboard (numbers, not vibes)
Ranked by farmer_score ÷ risk_score:
- Jimothy-SOL (Meteora DLMM) — TVL $432K, 24h vol $3.21M, fee APR 500.0%, farmer 82/100, risk 31/100, RAR 2.62.
- Jimothy-SOL (Meteora DLMM) — TVL $367K, 24h vol $2.26M, fee APR 500.0%, farmer 82, risk 31, RAR 2.61.
- Jimothy-SOL (Meteora DLMM) — TVL $111K, 24h vol $1.04M, fee APR 500.0%, farmer 79, risk 32, RAR 2.46.
- SOL‑USDC (Orca Whirlpool) — TVL $26.31M, 24h vol $38.42M, fee APR 21.4%, farmer 51, risk 22, RAR 2.26.
- SOL‑USDC (Meteora DLMM) — TVL $353K, 24h vol $8.02M, fee APR 92.2%, farmer 73, risk 36, RAR 2.02.
- SOL‑USDT (Raydium CLMM) — TVL $1.27M, 24h vol $3.71M, fee APR 10.7%, farmer 52, risk 27, RAR 1.94.
- HYPE‑USDC (Meteora DLMM) — TVL $380K, 24h vol $597K, fee APR 53.6%, farmer 53, risk 32, RAR 1.69.
- TRUMP‑USDC (Meteora DLMM) — TVL $2.89M, 24h vol $3.02M, fee APR 37.8%, farmer 80, risk 49, RAR 1.65.
- SOL‑USDC (Raydium CLMM) — TVL $5.93M, 24h vol $6.47M, fee APR 16.0%, farmer 49, risk 32, RAR 1.56.
That ordering is the lesson. The 21.4% APR pool beats a bunch of 30–50% pools after penalizing risk. And the 500% memecoin set? The ones that stay in-range with continuous flow win; the ones with higher tail risk slide down the list.
Why the Jimothy‑SOL DLMMs top the chart
Three variants of Jimothy‑SOL on Meteora DLMM dominate right now. All post fee APR prints of 500.0%, but the distinction is in where the flow concentrates and how DLMM bins harvest it.
- Flow over fireworks: $3.21M, $2.26M, and $1.04M in 24h volume against modest TVLs ($432K / $367K / $111K) is the definition of fee intensity. Farmer scores 79–82 reflect that.
- Risk checks out: Risk scores at 31–32 are low for a meme/major pair. Why? The SOL leg dampens tail risk and the pair has traded in repeating corridors. Out-of-range probabilities were muted in the last 24h.
- DLMM mechanics: Binned liquidity lets you sit right on the tape and adjust quicker than typical CLMM bands. When memecoins chop, DLMM is unforgiving to lazy placements but pays tight managers. See the docs for how bins route and rebalance: Meteora DLMM.
How to farm it without doing something dumb:
- Choose the pool instance deliberately: The three addresses have different TVL/flow. Jimothy‑SOL (RAR 2.62) is the current standout; the sister Jimothy‑SOL is similar at 2.61; the smaller Jimothy‑SOL still clears 2.46.
- Keep bins honest: Narrow placements near current price; widen only if you can babysit less. If the tape expands, your RAR can collapse fast as risk climbs and farmer_score lags.
- Cap size: Great RAR doesn’t mean infinite depth. With TVLs under $500K, single LPs can move the local book. Stage entries.
One opinion: most LPs under-allocate to DLMM when RAR is >2 and volume >$1M. They chase airdrops elsewhere while the fee spigot runs.
The blue‑chip benchmark: SOL‑USDC that actually pays
SOL‑USDC on Orca Whirlpool posts a modest 21.4% fee APR, yet its RAR is 2.26 thanks to a farmer score of 51 and a low risk score of 22. The size matters: $26.31M TVL absorbs size without nuking your fees, and $38.42M in 24h volume keeps you in-range near constantly. If you want an anchor position while you rotate bins in spicier pairs, this is it. For mechanics, read Orca Whirlpool docs.
There’s also a SOL‑USDC DLMM print at 92.2% fee APR with RAR 2.02 (SOL‑USDC; TVL $353K; 24h vol $8.02M; farmer 73; risk 36). Same theme: DLMM pays when you’re sitting on flow, but risk climbs when bands are thin and volatility expands. Both SOL‑USDC options beat many higher-APR pairs once you penalize risk.
High farmer score ≠ high RAR: the TRUMP‑USDC case
TRUMP‑USDC on Meteora has a strong farmer score of 80 and a 37.8% fee APR. It should look great. But the risk score at 49 drags the RAR down to 1.65. Why?
- Directional bursts push LPs out-of-range more often, and re-entry costs eat the fee edge.
- Liquidity is mercenary: TVL at $2.89M isn’t small, but it shifts quickly and skews against you when headlines hit.
- Token-specific tail risk: higher non-fundamental volatility and freeze/issuer concerns score worse than majors.
The lesson: you can be paid a lot and still be underpaid for risk. Good hunting ground for short, active stints, not a parking lot.
How to actually use RAR in your LP workflow
- Screen: Filter for RAR ≥ 2, 24h volume ≥ $1M, TVL that fits your size. That yields the Jimothy‑SOL set and both SOL‑USDCs today. Start on Best Solana pools.
- Size: Allocations scale with RAR but cap them by TVL share. If you’re >3% of TVL, your entries change the pool you’re measuring.
- Place: DLMM — keep bins narrow with a bias to the side you’re willing to inventory. CLMM — use bands that match realized volatility, not hopes.
- Rebalance cadence: The higher the risk_score, the shorter your check-in window. Meme pairs demand hours, not days.
- Exit triggers: RAR falls below 1.5, risk_score jumps by 10+, or 24h volume collapses versus TVL? Rotate. We track these in our AI Signals feed.
If you want more color on why turnover quality matters more than sticker APR, revisit Solana’s Highest Turnover Pairs: Fee Firehoses and LP Landmines. The same mechanic is powering the winners here.
What could break these standings
- Volatility regime change: If SOL expands its range, concentrated SOL‑USDC bands underperform until LPs widen. Farmer_score lags a day; risk_score jumps immediately.
- Liquidity migration: TVL drains from one Jimothy‑SOL instance to another, altering bin fills and your realized APR. Always check the specific address you’re in.
- Protocol changes: Fee tier tweaks or routing shifts can move flow across DLMM/CLMM. Skim the docs when updates land (Meteora DLMM: docs; Raydium CLMM: docs).
- Token events: Listings, unlocks, or contract flags can send risk_score higher on memes. Your RAR can halve in hours. That’s by design.
Bottom line for practitioners: headline APR is a starting filter. RAR is the throttle. Use both with the tape in mind, and size into the pools that pay for the hours you can actually manage.
FAQ
What is RAR and how do I compare pools with it?
RAR is farmer_score divided by risk_score. Higher is better. A pool with 60/20 posts RAR 3.0; one with 80/40 is 2.0. We consider RAR ≥ 2 with solid volume a strong first pass. Use it to rank across protocols and token types.
Why does a 21% SOL‑USDC beat 50% meme pools on RAR?
Because its risk_score is far lower (22 versus 30–50 for many memes) and its fees are consistent. You’re more likely to stay in-range and capture the posted APR, so per unit of risk you earn more.
How often are scores updated?
Intraday, with heavier weight on the last 24 hours and decay out to 30 days. Farmer_score can lag during sudden regime shifts; risk_score reacts faster to spikes and out-of-range probability changes.
Should I only LP in pools with RAR ≥ 2?
No. RAR is a filter, not a command. You might take RAR 1.6–1.9 for short stints (event-driven) if you can babysit. For set-and-check-daily allocations, ≥ 2 with volume is where most LPs get paid without constant firefighting.
Which specific pools are best right now?
Three Jimothy‑SOL DLMM pools lead (RAR 2.46–2.62): Jimothy‑SOL, Jimothy‑SOL, and Jimothy‑SOL. On majors, SOL‑USDC Whirlpool (RAR 2.26) and SOL‑USDC DLMM (RAR 2.02) are the current anchors.