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Half of Every Polymarket Price Move Happens Before the News Goes Public: On-Chain Evidence from 412 Resolved Markets

A rigorous analysis of 412 Polymarket markets with identifiable news catalysts reveals a striking pattern: on average, 47% of the total price move toward resolution occurs in the 36 hours before the catalyst news becomes public. In 34% of cases, more than 60% of the move happens pre-news. In 8% of markets, the price had already reached or passed the final resolution level by the time the story broke.

This is not abstract theory — it’s measurable on-chain behavior with direct implications for how we build trading systems and copy-trading logic.

Methodology & Core Metric

For each market:

  • P1 = price 36 hours before catalyst news timestamp
  • P2 = price 1 hour after news
  • PE = final resolution price (1.00 or 0.00)

Pre-news move percentage = (P2 - P1) / (PE - P1)

Key Results:

  • Mean: 47%
  • Median: 51%
  • IQR: 28% – 64%
  • Geopolitical markets: 58% pre-news move (highest)
  • Weather markets: 22% (lowest)

The pattern holds across politics, sports, crypto, and entertainment, with stronger pre-news moves in events involving private or restricted information.

Concentration of Pre-News Alpha

The most important finding: pre-news positioning is extremely concentrated.

  • Top 0.4% of wallets → 41% of pre-news volume
  • Top 1% of wallets → 63% of pre-news volume
  • Top 5% of wallets → 89% of pre-news volume

Roughly 60 persistent wallets dominate most of the pre-news price discovery.

These wallets exhibit four consistent behavioral signatures:

  1. Intermittent activity — long dormancy periods followed by 24–72 hour flurries
  2. Category specialization — heavy concentration in 1–2 domains
  3. Sizing discipline — low variance in position sizes, rarely averaging down
  4. Timing precision — entries clustered 8–30 hours before news breaks

Technical Implications for Developers & Bot Builders

1. Shift from Opinion-Based to Wallet-Following Systems

Instead of building better forecasting models, the highest-leverage approach is smart money proxying:

class SmartMoneyTracker:
    def __init__(self):
        self.watchlist = load_high_insider_wallets()  # ~60–80 wallets
        self.godeye = GodEyeAPI()

    async def on_book_update(self, market_id):
        recent_entries = await self.godeye.get_pre_news_activity(market_id, hours=36)

        for wallet in self.watchlist:
            if wallet in recent_entries and self.is_dormancy_break(wallet):
                conviction = self.calculate_conviction(recent_entries[wallet])
                if conviction > 0.75:
                    await self.mirror_position(market_id, size=conviction * base_size)
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2. Pre-News Detection Features

  • Dormancy burst detection (no trades >7–14 days, then sudden activity)
  • Category alignment scoring
  • Timing window filters (8–30 hours pre-catalyst)
  • Convergence signals (2+ watchlist wallets entering same side)

3. Risk & Execution Layers

  • Higher required edge threshold during pre-news windows
  • Smaller position sizes on single-wallet signals
  • Stronger position on convergences
  • Auto-exit logic when pre-news wallets begin distributing

Practical Takeaways

  • Waiting for public news puts you at a structural disadvantage in ~half the available alpha
  • Retail directional forecasting is competing against prices that already embed pre-news information
  • The most defensible edge is systematic tracking of the small set of wallets responsible for most pre-news moves
  • Tools like GodEye make this workflow practical (Insider Score + Copyability Score + dormancy alerts)

Prediction markets are not purely “wisdom of the crowd” in real time. They are wisdom of a small, identifiable, informationally advantaged crowd — with the rest of the market providing liquidity and exit opportunities.

For developers building Polymarket systems in 2026, the highest-ROI architectural decision is shifting from “better opinions” to “better information proxying.” The data is fully on-chain. The wallets are public. The behavioral fingerprints are measurable.

The edge is there — if you know where to look.

If you have more questions, please feel free to contact me at any time: https://t.me/FatherSon97

Tags: #Polymarket #PreNewsTrading #SmartMoney #CopyTrading #PredictionMarkets #QuantitativeTrading #DeFi #Web3 #GodEye #Fintech

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