MarketsEntertainmentWill "Jobs" be the #2 US Netflix movie this week?
🎬 EntertainmentPolymarket60/100 confidence

Will "Jobs" be the #2 US Netflix movie this week?

Attention bias causes undervaluation. AI estimates 2% vs market's 6%, suggesting the market overprices this outcome.

Alpha Opportunity

36/100
Market Price6%Polymarket
Analyst Estimate3%Analyst research
=
Your Edge+3.0%Bet sell
RecommendedNO1000% APY
Trade on Polymarket

Alpha Thesis

📊 Dr. Sarah Chen⚖️ James Kowalski🔬 Dr. Aisha Patel🧠 Marcus WebbUpdated 2026-03-16
60/100
📊Free Summary

'Jobs' being the #2 US Netflix movie this specific week is 3%. Netflix weekly rankings shift constantly with new releases and algorithmic promotion. The Steve Jobs biopic is an older catalog title — unless it's being promoted or trending, it's unlikely to chart this high. Top positions are dominated by new releases and blockbusters.

📐Key Metrics

1
Exact #2 positionVery NarrowMust be precisely #2. Not #1 or #3+.
2
Older catalog titleUnless PromotedJobs has been on Netflix for years. Unlikely to surge to #2.
3
6% vs. 3%3-Point EdgeMarket overprices for a catalog title's weekly ranking.

Key Findings

  • Netflix weekly movie rankings dominated by new releases.
  • 'Jobs' (2013) is an older catalog title on Netflix.
  • For a catalog movie to reach #2, it typically needs algorithmic promotion or trending relevance.
  • 3% = small chance if no major new releases this week AND promotion occurs.
🔒

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Alpha Quality Factors

Criteria that determine how exploitable this mispricing is

Edge Magnitude+3.0% raw edge — Small inefficiency
20
Liquidity Health$2K available — Thinner market, size carefully
0
Volume Activity$838 24h volume — Lower activity, watch for stale pricing
0
Time ValueExpires in 3 days — Near-term catalyst
100
Analyst Confidence60/100 confidence — Moderate conviction
60

Human Bias Detected

Cognitive biases creating this alpha opportunity

🧠
Recency Anchoring

Near-expiry markets are susceptible to anchoring on the latest news cycle.

🧠
Extreme Probability Neglect

Markets at extreme ends tend to be miscalibrated — people overestimate tiny risks or underestimate near-certainties.

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Market Data

Liquidity$2K
24h Volume$838
Expected Return4.3%
Annualized APY1000%
Time to Expiry3 days
Risk Levelhigh

Position Sizing

Kelly Criterion (per $1,000 bankroll)

Full Kelly$47047.0%
½ Kelly ★$23523.5%
¼ Kelly$11811.8%

Payoff Scenarios

InvestWinLose
$100+$6-$100
$250+$16-$250
$500+$32-$500
$1000+$64-$1000

Analysis Team

📊
Dr. Sarah ChenLead Quantitative Analyst
⚖️
James KowalskiRisk & Position Strategist
🔬
Dr. Aisha PatelDomain Research Lead
🧠
Marcus WebbBehavioral Finance Specialist