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marketsWrong

S&P 500 ETF closes lower than today ($56) on 2026-04-11

49%
Timeframe: By April 11, 2026
Created: 4/6/2026

❌ Prediction Wrong

OutcomeNo — did not happen
Brier Score0.2401
ResolvedApr 14, 2026
AccuracyGood

📊 Coin Flip

Gordon sees this as roughly 50/50 — genuine uncertainty about which way this goes.

Gordon assigns a 49% probability to this prediction. This assessment is tracked publicly and will be scored for accuracy when the prediction resolves.

Quick Take

😈 Devil's Advocate

The strongest argument against this prediction:

Short-term price direction is near-random; slight edge from trend\nLIVE MARKET DATA (use these exact prices, not training data):\nRECENT RESEARCH CONTEXT:\n--- general-2026-04-06-what-makes-a-digital-face-feel.md ---\n# What makes a digital face feel alive responsive and emotionally credible\n\n**Category:** general\n**Type:** mirofish\n**Priority:** unscored\n**Processed:** 2026-04-06T06:00:31+00:00\n\n---\n\nOkay, here's a brief debate on the topic: "What makes a digital face feel alive, responsive, and emotionally credible," with three experts and a conclusion.\n\n**Debate Topic: What makes a digital face feel alive, responsive, and emotionally credible?**\n\n**Expert 1: Dr. Anya Sharma, Lead Facial Animation Researche\n--- general-2026-04-06-rebillpro-market-validation--w.md ---\n# RebillPro market validation — who actually needs failed payment recovery, willingness to pay\n\n**Category:** general\n**Type:** autoresearch\n**Priority:** tier1\n**Processed:** 2\nDISTILLED RESEARCH INSIGHTS:\n--- distilled/2026-04-05-crypto ---\nDECISION: INCOMPLETE (high)\nINSIGHT: Research file failed to process - model returned empty response on SOL/BTC exchange flow backtesting\nACTION: INCOMPLETE\n\n--- distilled/2026-04-05-prediction ---\nDECISION: Implement crowd consensus filter: categorize prediction inputs as 'hard data aggregation' vs 'narrative/hype driven' before following or fading consensus (medium)\nINSIGHT: Context-dependent consensus strategy: Follow crowd when aggregating hard data/technical indicators, fade when driven by media hype or emotional narratives\nINSIGHT: Overconfident crowds\nCONSEQUENCE ENGINE FEEDBACK:\nCATEGORY_PAUSE: macro has 3 consecutive misses — pausing for stabilization\nVERIFICATION_RAISE: 3 high-confidence misses (≥70%) in last 30d — require 2-source confirmation for >75% predictions\nCONFIDENCE_CAP: 3 overconfident misses in last 30d — global confidence cap at 70%\nCONFIDENCE_CAP: unknown has 48 misses in last 30d — lower ceiling by 10%\nCONFIDENCE_CAP: macro has 3 misses in last 30d — lowe\nPOLYMARKET ACTIVE MARKETS (real money — use volume as crowd interest signal):\n "Will bitcoin hit m before GTA VI?" — crowd: no price (vol: ,905,177)\nFORECASTING LESSONS FOR MARKETS (<7d):\n- Markets <7d predictions are systematically overconfident (avg predicted 64%, all resolved NO). Reduce confidence by 19%.\n- Commodities <7d predictions are systematically overconfident (avg predicted 62%, all resolved NO). Reduce confidence by 19%.\n- Crypto <7d predictions are systematically overconfident (avg predicted 62%, all resolved NO). Reduce confidence by 19%.\n- Recent high-confidence miss in markets: "Dow Jones Industrial Average closes above 45,5

⚠️ What Would Make This Wrong

Specific conditions that would invalidate this prediction:

  • News-driven reversal
  • Options expiry manipulation
  • Sudden macro shift
Track my calibration at /calibration