Rug Pull News Week 37 2026 – Fraud Value Drops 42% to $36.2M Even as Rug Events Rise 12%, Running Total Nears $950M


Data covers PancakeSwap V2, PancakeSwap V3, Uniswap V2, and Uniswap V3. Week 37 = week ending Sunday, September 13, 2026.

Week 37 broke the four-week streak of rising fraud values. $36,172,288 was extracted from retail investors – down 41.6% from Week 36’s $61,963,555 – even as rug pull events climbed 12.3% to 13,718, a new high for the current tracked window. New pool mints also rose 13.5% to 18,892. The running total since tracking began now stands at $949,401,987, closing in on the $1B mark.

Week 37 Key Numbers

$36,172,288
Rug pull fraud extracted
13,718
Rug pull events
112,329
Total pools tracked
18,892
New pool mints
$69,406,368
Added by creators
$105,578,656
Removed by creators
-41.6%
WoW change
$949,401,987
Running total
PancakeSwap V2/V3 and Uniswap V2/V3 · Figures use the corrected USD-only methodology (fixed 2026-08-05)

Week 37 Analysis

Fraud Value Falls Sharply Even as Events and Mints Both Rise

The 41.6% drop in extracted fraud is the largest single-week decline recorded since the tracker adopted its current methodology, and it comes despite rug pull events rising 12.3% to a new high of 13,718 and new pool mints rising 13.5% to 18,892. This is a clear break from the pattern of the prior four weeks, where fraud value consistently outpaced or matched event growth. Average extraction per event fell to $2,637, down 48.0% from Week 36’s $5,072 – by far the lowest average per event in the tracked window – indicating this week’s rug pulls were, on average, considerably smaller in scale even though there were more of them.

Total Pools Growth Moderates Sharply

Total pools tracked rose 9.9% to 112,329, a far more modest increase than the roughly 59-172% weekly jumps seen in each of the prior two weeks. This suggests the unusual pool-count surge that characterized Weeks 35 and 36 has largely run its course, with growth this week driven proportionally by new mints (+13.5%) rather than a disproportionate influx of existing pools re-entering the dataset – a healthier-looking pattern than the prior two weeks’ divergence.

Rug-to-Mint Ratio and Removed-to-Added Ratio Hold Roughly Steady

The rug-to-mint ratio eased slightly to 72.6% from 73.4%, remaining in the elevated 70%+ range that has held since Week 34. The removed-to-added liquidity ratio ticked up marginally to 1.521x from 1.514x, continuing its gradual multi-week climb even as the absolute dollar figures on both sides of that ratio fell sharply from last week’s levels.

Week-on-Week Comparison: W35 – W37

MetricW35W36W37W37 vs W36
Fraud extracted$51,639,440$61,963,555$36,172,288-41.6%
Rug events12,14012,21613,718+12.3%
Total pools63,693102,231112,329+9.9%
New mints15,89016,64318,892+13.5%
Added by creators$109,398,521$120,659,059$69,406,368-42.5%
Removed by creators$161,037,961$182,622,615$105,578,656-42.2%
Removed-to-added ratio1.472x1.514x1.521x+0.5%

2026 Running Total – W31 to W37

WeekFraud ExtractedRug EventsRunning Total
W31$31,426,9317,156$685,296,210
W32$35,004,4847,910$720,300,694
W33$37,307,3388,898$757,608,032
W34$42,211,15811,688$799,819,190
W35$51,639,44012,140$851,458,630
W36$61,963,55512,216$913,422,185
W37$36,172,28813,718$949,401,987

Note: Data covers PancakeSwap V2, PancakeSwap V3, Uniswap V2, and Uniswap V3 throughout the tracked period. All figures use the corrected USD-only extraction methodology adopted 2026-08-05. W32 through W36 fraud totals were revised slightly this week to reflect late-arriving backfilled events; the running total reflects these revisions.

About This Tracker

ChainAware.ai’s weekly rug pull tracker monitors liquidity removal fraud across PancakeSwap V2 and V3 on BNB Smart Chain and Uniswap V2 and V3 on Ethereum. Rug pull fraud is defined as the USD-equivalent value of liquidity removed by the pool creator that exceeds the USD-equivalent value of liquidity added by the creator – a net extraction event, measured in USD-side value only. The tracker uses ChainAware’s predictive rug pull detection engine, which achieves 90.1% detection accuracy in V3 – see the full Rug Pull Detector methodology for how the model scores deployer wallets and liquidity events.

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