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DLMM Data Series

The Best Meteora LPers Trade Less Than Everyone Else

2026-04-03·8 min read·by Razzaer
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I pulled every PositionCreate event on Meteora DLMM for the last 7 days through Dune. 6,214 unique wallets. Then I compared them against our top 100 intelligence-scored wallets — wallets with 30+ days of track record, consistent profitability, and stable win rates. Scored 68-88 out of 100.

The scoring engine runs daily across 1,600+ wallets. It rewards track record length, win rate stability, capital efficiency, and profit quality. It penalizes thin samples, inactivity, and wallets that win most days but lose more on red days. What survives is a specific type of wallet.

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Dataset Overview

Dune Analytics · 7-day window ending April 2, 2026 · TrackLP Intelligence v4.2

6,214
Total Wallets
68%
Under 3/day
11.5/day
Active Avg Rate
14.8
Avg Pools/Wallet

The Ecosystem at Scale

6,214 wallets opened positions this week. The average active wallet runs 11.5 positions per day across 14.8 pools. But that average hides a steep dropoff.

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Activity Distribution

Daily position rate across 6,214 wallets — 7-day window

Daily RateWallets%
Under 3/day (minimal)4,22568%
3-10/day (active)1,10518%
10-20/day (busy)4277%
20-50/day (power)3175%
50+/day (bot territory)1402%

68% of wallets do under 3 positions per day. Only 14% do more than 10. The ecosystem is heavily bottom-weighted.

68% of all wallets do under 3 positions per day. Only 14% run more than 10. The ecosystem is heavily bottom-weighted — most wallets are minimal participants, a thin layer of active LPers does the bulk of the work, and 2% are bots running 50+ positions daily.

Our top 100 scored wallets sit at 8.8/day median — in the "active" band, more active than two-thirds of the ecosystem. They're not trading less than everyone. They're trading less than the power users and bots who dominate the leaderboards.

The One-Position Wallets Aren't Who You Think

1,381 wallets opened exactly one position this week. Easy to read that as "tried once and quit." Then I checked.

1,381 wallets opened exactly 1 position this week. But 77.5% are returning wallets with prior DLMM history. Only 311 are genuine first-timers. The rest are experienced LPers having a quiet week — not quitters.

The data doesn't say "quitters." It says "selective." Maybe they have one position open and are letting it ride. Maybe they're sitting out a choppy market. Either way, they've been here before.

What the Consistent Winners Look Like

Our top 100 scored wallets have a median track record of 238 days. 78 of them have been actively LPing for 90+ days. 55 have been at it for over 6 months. 34 for over a year. These are not tourists.

Here's the aggregated profile — every number is the median across all 100 wallets over the last 30 days:

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The Median Top 100 Wallet

Quality Score: 75/100 · Active 238 days · 95 of 100 profitable

$1,099
30d PnL (USD)
16.2
30d PnL (SOL)
75.3%
30d Win Rate
3.96x
Profit Factor
Metric30-Day Median
Positions264 (~8.8/day)
Deposit Size$829 (9.5 SOL)
Fees Earned$3,955
Hold Time2.0 hours
PnL Per Position$5
Daily PnL$37/day (0.5 SOL)

That's not one cherry-picked wallet. That's the median — half the top 100 are above these numbers, half below. 264 positions at $5 each compounding to $1,099 a month. $37 a day. Not flashy. Consistent.

Profit Factor — The Number Nobody Tracks

The profit factor is the number most people skip. A wallet can have a 75% win rate and still lose money if the losses are bigger than the wins. Our top 100 has a median profit factor of 3.96 — for every 1 SOL lost on bad positions, they make back nearly 4 SOL on good ones.

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Profit Factor Distribution

Total gains / total losses (SOL) — median 3.96x

Profit FactorWalletsMeaning
Under 2.03Fragile — losses nearly match gains
2.0 - 3.024Solid — earns 2-3x per SOL lost
3.0 - 5.032Strong — good loss control
5.0+38Excellent — losses are rare and small

94 of 100 have PF above 2.0. A wallet below 2.0 is fragile regardless of win rate.

We showed in our last study that 15% of wallets topping daily leaderboards are losing money overall. They win often but lose big. The profit factor exposes this — any wallet below 2.0 is fragile regardless of how often it wins.

How They Trade

The top 100 run about 8.8 positions per day at median, compared to 11.5 for the broader Meteora active average. Not dramatically less — but the difference is in what each position produces.

Median PnL per position over 30 days: $5. Across 264 positions, that's $1,099. Small per trade. Consistent in aggregate.

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Hold Time Distribution

Top 100 wallets — median 2.0 hours

Hold TimeWallets%
Under 1 hour3636%
1-3 hours2929%
3-6 hours1818%
6-12 hours88%
12-24 hours33%
24+ hours66%

65% hold under 3 hours. These aren't patient swing traders — they're running calculated short-to-mid holds at moderate pace.

65% hold under 3 hours. These aren't patient swing traders waiting half a day. They're running calculated short-to-mid holds at a moderate pace. In and out within a few hours, collecting fees, moving on.

This lines up with our 145-wallet study from March: hold time under 30 minutes averages $28 per position. Hold time of 4-12 hours averages $257. Same pools, same tokens, same week. 14x difference. The sweet spot is in that 1-6 hour range — long enough for fees to compound, short enough to avoid overnight exposure.

Top 100 vs Everyone

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Top 100 vs All Meteora

Intelligence-scored wallets vs 3,563 active wallets this week

MetricAll Active (3,563)Top 100
Positions / Day11.5 avg (68% under 3)8.8 median
Ecosystem PercentileMore active than 68%
Hold TimeSkews sub-1h2.0h median
Win Rate (30d)Unknown75.3% median
Profit FactorUnknown3.96 median
30d PnLUnknown$1,099 median
Deposit SizeVaries widely9.5 SOL median
Track Record22% one-and-done238 days median
Profitable (30d)Unknown95 of 100

At 8.8 positions per day, the top 100 are more active than 68% of the ecosystem — but less active than the power users and bots who dominate leaderboards. They're not using exotic strategies. They're doing the same thing as the busy wallets, just more consistently, for longer, with better loss control.

The Real Differentiator: Time in the Game

The biggest gap between these wallets and the broader ecosystem isn't speed or hold time. It's track record.

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Track Record Length

How long the top 100 have been actively LPing on Meteora DLMM

Track RecordWallets%
1+ year3434%
6-12 months2121%
90 days - 6 months2323%
60-90 days1111%
30-60 days66%
Under 30 days55%

78 of 100 have been at it for 90+ days. They've survived rallies, drawdowns, low-volume weeks, and meme seasons.

Median 238 days of active DLMM history. That means these wallets have been through multiple market regimes — rallies, drawdowns, low-volume weeks, meme seasons. They're still here and still profitable.

A 75% win rate over 264 positions in a single month, sustained across 8+ months of history, backed by a 3.96 profit factor — that's a fundamentally different signal than an 85% win rate from 40 positions over 2 weeks.

What to Actually Look For

If you're evaluating wallets to learn from:

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The Winning Profile

Based on the top 100 intelligence-scored wallets across Meteora DLMM

MetricTarget Range
Position Frequency5-15/day
Hold Time1-6 hours
Deposit Size5-15 SOL
Win Rate (30d)75%+
Profit FactorAbove 2.0 (3.0+ strong)
Track Record90+ days minimum

The stat that matters most: are they still here and still profitable after months of market shifts? The median wallet in our top 100 has been doing this for over 8 months. That alone filters out most of the ecosystem.

This doesn't mean high-frequency can't work. Our last study showed scalpers hit 71% win rates. But their median monthly profit was $706 from roughly 1,000 positions. The wallets in this top 100 hit $1,099 median from 264 positions. A quarter of the volume, higher total return.

Caveats

The "All Active" ecosystem numbers come from Dune PositionCreate events — activity metrics only. We can't calculate PnL or win rate for the full 6,256 without per-wallet position analysis. The comparison is limited to activity patterns for the full population.

The top 100 stats are 30-day medians from wallets that have already passed through the scoring engine's gates. This is the top of the distribution — the average DLMM LPer will see lower win rates and higher variance.

"Unknown" in the comparison table means we don't have ecosystem-wide data for that metric. Honest gaps, not hidden.

All data from tracklp.com.

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