Pump.fun Scam Database








Monthly Pump.fun Statistics Report 2026: January Platform Data & Trends | pumpfun.help














๐Ÿ“Š MONTHLY REPORT

Monthly Pump.fun Statistics Report What the 2026 data actually says

Most people trade off hype, screenshots, and emotion. This report is for people who want the numbers underneath the noise. It tracks launches, graduation rates, scam patterns, category performance, and the ugly truths traders usually find out too late.

24,847
Tokens Analyzed
1.15%
Graduation Rate
95%+
Scam or Rug Share

๐Ÿ“… January 2026 Report

Data Period: January 1โ€“31, 2026
24,847 tokens analyzed across Pump.fun activity, volume, graduation, scam behavior, and category trends.

My honest opinion: this month confirmed the same thing I keep seeing over and over. More launches do not automatically mean more opportunity. A lot of the time they just mean more noise competing for the same capital.

Why this report matters

I publish this because the public story around Pump.fun is usually distorted. People see the 100x clips, the lucky screenshots, the viral launches, and start thinking that kind of outcome is common. The data says otherwise.

This report is my attempt to keep things honest. Not pessimistic, just honest. If you know the actual success rates, the actual timing patterns, and the actual categories that perform better than average, you give yourself a much better chance of trading with discipline instead of fantasy.

Platform Overview

๐Ÿš€

24,847
Total Tokens Launched
โ†‘ 18% vs December
๐Ÿ’ฐ

$127M
Total Trading Volume
โ†“ 12% vs December
๐Ÿ‘ฅ

89,432
Unique Active Wallets
โ†‘ 6% vs December
โšก

3.2M
Total Transactions
โ†‘ 22% vs December

๐Ÿ’ก Key takeaway: launches rose, volume fell

January had more launches but less total volume than December. That usually means one thing: more projects fighting for the same pool of attention and money. In plain English, the average launch had less oxygen.

That matters because it changes expectations. When saturation rises, weak launches die faster, fake volume becomes more tempting for creators, and traders need to be even more selective.

Success & Failure Breakdown

โœ…

287
Graduated to Raydium
1.15% success rate
๐Ÿšจ

23,614
Confirmed Rugs or Scams
95.04% of launches
๐Ÿ’€

946
Abandoned Early
3.81% of launches
โฑ๏ธ

37 min
Average Lifespan
โ†“ 8 min vs December

โš ๏ธ Reality check

Only 1.15% of tokens in this data set graduated. Of those, only a much smaller subset held meaningful market caps for more than a few days. The wide majority of launches still ended in failure, manipulation, abandonment, or obvious extraction.

Outcome Count Percentage Average Time to Outcome
Graduated to Raydium 287 1.15% 4.2 hours
Obvious Rug Pull 18,923 76.17% 28 minutes
Honeypot / Contract Scam 3,156 12.70% Immediate or near-immediate
Pump & Dump Group 1,535 6.17% 52 minutes
Abandoned / No Activity 946 3.81% 12 minutes

๐Ÿ“‰ The average lifespan is still shrinking

The average token now lives only 37 minutes before rugging, fading, or becoming irrelevant. That is shorter than the prior month. In my opinion, that tells you two things at once: creators are launching into heavier competition, and scammers are learning to extract faster.

  • Faster rugs: more creators are not waiting around once attention shows up.
  • Lower patience from traders: if something does not move instantly, people rotate out faster.
  • More saturation: when hundreds of launches compete daily, most die before a real community even forms.

Category Performance Analysis

๐Ÿ• Animal & Pet Memes

Tokens Launched8,234
Graduation Rate2.1%
Average Peak MC$42k
Average Lifespan51 min

๐Ÿค– AI & Tech Narrative

Tokens Launched4,567
Graduation Rate1.8%
Average Peak MC$38k
Average Lifespan44 min

๐ŸŒ Political / Current Events

Tokens Launched3,892
Graduation Rate0.6%
Average Peak MC$28k
Average Lifespan19 min

๐Ÿ’Ž Generic โ€œMoon / Gemโ€ Coins

Tokens Launched5,123
Graduation Rate0.3%
Average Peak MC$18k
Average Lifespan22 min

๐ŸŽฎ Gaming / Esports

Tokens Launched1,234
Graduation Rate3.2%
Average Peak MC$67k
Average Lifespan78 min

๐ŸŽจ Culture / Community Tokens

Tokens Launched1,797
Graduation Rate2.7%
Average Peak MC$53k
Average Lifespan62 min

๐ŸŽฏ What this category data suggests

Gaming and community-focused narratives outperformed the platform average again. Political tokens and generic โ€œmoonโ€ coins were weak on both graduation rate and lifespan.

My read is simple: some narratives attract curiosity, while others attract actual holders. Those are not the same thing.

Scam Patterns Detected This Month

๐Ÿ†• Slow-bleed rugs are getting more common

Instead of instant cliff-dump rugs, more devs are using gradual sell patterns that keep the chart looking โ€œrepairable.โ€ That tricks holders into buying dips that are not dips at all, just staged exits.

If a top wallet keeps selling small chunks into every bounce, that is not random. It is usually the strategy.

๐Ÿ’ก Use Solscan and Bubblemaps together to watch top-wallet behavior over time.

๐Ÿค– Fake volume bots keep evolving

Volume inflation is getting less obvious. Operators are randomizing timing, amounts, and wallet ages more carefully than before. That means simple pattern spotting is not always enough anymore.

  • More randomized trade sizes.
  • Less predictable intervals.
  • Better attempts to fake wallet diversity.
  • Cleaner looking charts that still hide synthetic demand.

๐Ÿ‘ฅ Multi-token rug operations are getting more organized

Some wallet clusters are no longer launching one-off junk. They are building repeatable scam pipelines with branding, fake community activity, and slightly more polished marketing. The polish is part of the trap.

๐Ÿ’ก GMGN.ai is useful for checking whether a creator wallet has a pattern of launching and abandoning multiple tokens.

Best Times to Trade Analysis

Time Window (EST) Average Launches / Hour Graduation Rate Average Peak MC Takeaway
12am – 6am 18 0.4% $22k Avoid if possible
6am – 9am 42 1.1% $35k Moderate
9am – 12pm 67 1.8% $48k Strong window
12pm – 3pm 89 2.1% $56k Best overall
3pm – 6pm 73 1.6% $44k Still solid
6pm – 9pm 56 1.2% $38k Cooling off
9pm – 12am 38 0.7% $27k Risk rises again

โฐ Best trading window this month

Noon to 3pm EST showed the strongest mix of activity, graduation rate, and average peak market cap. It is not magic, but it is one of the few places where the data gives traders a real timing edge.

Holder Behavior & Wallet Analysis

๐Ÿ“Š Better launches had better holder structure

The healthier tokens in this set tended to share a few traits:

  • Holder counts that were growing without obviously fake inflation.
  • Top 10 concentration staying in a more reasonable range.
  • A mix of newer and older wallets instead of only fresh burners.
  • More evidence of real traders, less evidence of isolated dev farming.
๐Ÿ’ก This is where Bubblemaps and GMGN.ai help the most.

๐Ÿšฉ Heavy first-day churn still kills confidence

When holders cycle in and out too quickly, it usually means there is no real accumulation story. There is just flipping, noise, and a weak community base.

Trading Volume Patterns

Volume Threshold Tokens in Range Graduation Rate Typical Outcome
Under $5k 12,334 0.1% Dies fast
$5k – $20k 7,892 0.5% Small pump, quick fade
$20k – $50k 3,456 1.2% Some traction, most fail
$50k – $100k 892 4.8% Real interest may be forming
$100k – $500k 234 18.4% Much stronger continuation odds
Over $500k 39 74.4% Already established momentum

๐Ÿ’ก Volume alone is not enough

The $50k to $100k range often looked like the first area where attention might be turning real. But even there, context still matters. Fake volume can still fool lazy traders if they never check who is actually behind it.

My Personal Trading Takeaways

โœ… What worked better for me this month

  • Focusing more on stronger categories instead of chasing every random narrative.
  • Trading during better time windows instead of late-night dead hours.
  • Checking wallet quality before every buy using GMGN and Bubblemaps.
  • Taking profits earlier instead of fantasizing about every token becoming a moonshot.

โŒ What still punished bad decisions

  • Chasing trending tokens without checking structure first.
  • Ignoring holder concentration because a chart looked good.
  • Buying fast narratives that had no real reason to keep lasting.

๐Ÿ”ฎ What I would watch next

  • Whether average token lifespan keeps shrinking.
  • Whether slow-bleed rugs become even more dominant.
  • Whether gaming and community narratives keep outperforming.
  • Whether launch competition keeps rising faster than real volume.

Methodology & Data Sources

How this report is put together

Data collection: platform behavior is tracked through on-chain and market activity using Solscan, DexScreener, and GMGN.ai.

Scam pattern review: wallet clusters, contract risk, and suspicious behavior are cross-checked with Bubblemaps and Rugcheck.

Category classification: tokens are grouped by narrative, branding, and visible public framing.

Graduation definition: tokens are counted as graduated when they move out of the bonding curve environment and establish post-launch liquidity.

Tools used for this analysis

These are the same tools I would keep open while trading.


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