The new blockchain data shows prediction market traders face the same dismal odds as retail CFD investors.
Analysis of 1.7M Polymarket addresses reveals a familiar pattern where casual participants subsidize sophisticated players.
Blockchain
analyst defioasis.eth released data showing that roughly 70% of Polymarket's
1.7 million trading addresses have recorded realized losses, mirroring the loss
rates long documented among retail CFD traders in traditional markets.
The
analysis examined realized profit and loss across Polymarket's entire
trading history through December 28, covering 1,733,785 unique addresses. Only
30% of participants have managed to lock in profits, while the remaining 70%
sit in negative territory.
Extreme Profit
Concentration Echoes Traditional Markets
Most
profitable Polymarket users earned modest amounts. Addresses with realized
profits between zero and 1,000 dollars represent 24.56% of all participants but
captured just 0.86% of total gains. Earning more than 1,000 dollars requires
breaking into the top 4.9% of all addresses.
Source: defioasis.eth
The model
appears to be proving itself. Polymarket is currently eyeing a valuation of about
$15 billion, and together with Kalshi, its largest competitor, the two
platforms generated nearly
$7.5 billion in combined trading volume in October alone, driven mainly by
sports-related contracts (or, to put it plainly, betting).
Small Losses Common, But
Catastrophic Failures Exist
Over 1.1
million addresses, representing 63.5% of all participants, recorded realized
losses between zero and 1,000 dollars. However, 149 addresses each lost more
than 1 million dollars, demonstrating that while most users lose small amounts,
the platform can deliver severe losses to unlucky or unsophisticated
participants.
The
methodology tracks total sale proceeds plus redemption amounts minus purchase
costs, excluding unrealized gains or losses on open positions.
Defioasis.eth
acknowledged limitations in the approach, noting that “the actual data can
only be used as reference, pure on-chain data calculations have certain
limitations, and may not have filtered out some official unlabeled
contracts.”
When
questioned about the 3.7 billion dollar profit figure by other analysts,
defioasis.eth defended the calculation by comparing it to similar platforms:
“Actually, it's not exaggerated at all, Pump Fun's Net PnL at that
historical retrospective point was 3.8 billion.”
Whether
trading currency pairs, stocks via CFDs, or political outcomes on blockchain
prediction markets, roughly seven in ten retail accounts end up losing money.
We can see that also in the booming
retail prop trading industry.
“Whether
it's prediction markets or Meme, there seems to be no difference for us retail
investors,” added the analyst.
He also
highlighted that Polymarket has become another venue where information
asymmetry and automated market makers dominate, with one commenter describing
it as “a new meat grinder” where “cognitive gaps, information
gaps, insider manipulation make it normal for newcomers to find it difficult to
profit.”
The analyst
agreed with this assessment, noting that automated trading bots and
sophisticated market makers turn casual participation into an expensive
education.
Blockchain
analyst defioasis.eth released data showing that roughly 70% of Polymarket's
1.7 million trading addresses have recorded realized losses, mirroring the loss
rates long documented among retail CFD traders in traditional markets.
The
analysis examined realized profit and loss across Polymarket's entire
trading history through December 28, covering 1,733,785 unique addresses. Only
30% of participants have managed to lock in profits, while the remaining 70%
sit in negative territory.
Extreme Profit
Concentration Echoes Traditional Markets
Most
profitable Polymarket users earned modest amounts. Addresses with realized
profits between zero and 1,000 dollars represent 24.56% of all participants but
captured just 0.86% of total gains. Earning more than 1,000 dollars requires
breaking into the top 4.9% of all addresses.
Source: defioasis.eth
The model
appears to be proving itself. Polymarket is currently eyeing a valuation of about
$15 billion, and together with Kalshi, its largest competitor, the two
platforms generated nearly
$7.5 billion in combined trading volume in October alone, driven mainly by
sports-related contracts (or, to put it plainly, betting).
Small Losses Common, But
Catastrophic Failures Exist
Over 1.1
million addresses, representing 63.5% of all participants, recorded realized
losses between zero and 1,000 dollars. However, 149 addresses each lost more
than 1 million dollars, demonstrating that while most users lose small amounts,
the platform can deliver severe losses to unlucky or unsophisticated
participants.
The
methodology tracks total sale proceeds plus redemption amounts minus purchase
costs, excluding unrealized gains or losses on open positions.
Defioasis.eth
acknowledged limitations in the approach, noting that “the actual data can
only be used as reference, pure on-chain data calculations have certain
limitations, and may not have filtered out some official unlabeled
contracts.”
When
questioned about the 3.7 billion dollar profit figure by other analysts,
defioasis.eth defended the calculation by comparing it to similar platforms:
“Actually, it's not exaggerated at all, Pump Fun's Net PnL at that
historical retrospective point was 3.8 billion.”
Whether
trading currency pairs, stocks via CFDs, or political outcomes on blockchain
prediction markets, roughly seven in ten retail accounts end up losing money.
We can see that also in the booming
retail prop trading industry.
“Whether
it's prediction markets or Meme, there seems to be no difference for us retail
investors,” added the analyst.
He also
highlighted that Polymarket has become another venue where information
asymmetry and automated market makers dominate, with one commenter describing
it as “a new meat grinder” where “cognitive gaps, information
gaps, insider manipulation make it normal for newcomers to find it difficult to
profit.”
The analyst
agreed with this assessment, noting that automated trading bots and
sophisticated market makers turn casual participation into an expensive
education.
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia.
His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch.
Education:
MA in Finance and Accounting, Cracow University of Economics
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