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2026-03-26 11:04
8.5K
5
Polymarket had it right all month.
$75.5M said BTC hits $75K in March → 100%.
It did.
Now March 26:
→ Dipped below $70K → confirmed 100%
→ Recovery above $71K by midnight → 50/50
Market's telling you: support is being tested.
50/50 bounce = no conviction either way.
Perfect range to trade. $70K floor or break.
→ polyranger.com
❤
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2026-03-31 10:36
6K
3
On US election night 2024, a French trader made $85 million on Polymarket.
One night. One bet. More than most hedge funds return in a year.
The platform had $3.7 billion riding on Trump vs Harris. When the results came in, 70% of traders lost money. The top 0.04% of wallets took home 70% of all profits.
The three biggest earners on the platform are Theo4 ($22M, 89% win rate), Fredi9999 ($16.6M, 73% win rate), Len9311238 ($8.7M, 100% win rate) didn't get lucky. They found mispricing the market
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2026-04-02 09:54
6.2K
5
The bot problem in prediction markets is real.
Fast actors don’t just trade - they dominate:
- Front-running
- Arbitrage extraction
- Liquidity manipulation
Retail users? Always late.
So we asked a simple question:
What if access - not speed - defined the edge?
Here’s how PolyRanger approaches it:
1) Aggregation > Isolation
Bots thrive in fragmented markets.
We unify markets across platforms. More transparency, less local inefficiency to exploit.
2) One interface, faster decisions
Switchi
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12
2026-04-07 14:17
3.8K
4
Most people think prediction markets reward those who are right.
The data says otherwise:
• 14/20 top traders are bots
• ~$40M extracted via arbitrage
• <0.04% of users capture >70% of profits
So who actually wins?
1. Speed
Bots and automated traders dominate execution.
2. Math
Arbitrage + market making = consistent edge.
3. Narrative
A small group of informed traders capture asymmetric bets.
Prediction markets don’t reward being right.
They reward speed, math, and narrative.
We’re buildin
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2026-04-09 13:49
2.2K
2
AI model race on Polymarket
In December, AI model markets peaked at $36M monthly volume.
Then:
- $29M in January
- $22M in February
So what happened?
At first, attention was driven by hype: new models, benchmarks, headlines.
But prediction markets don’t sustain hype - they price expectations vs reality.
As narratives stabilize:
• Uncertainty drops
• Price discovery improves
• Volume declines
The edge disappears.
Prediction markets don’t reward noise.
They reward timing, structure, and infor
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