Will Bitcoin reach $150,000 before 2027?
The market is pricing a more optimistic scenario than fundamentals support. ETF demand helps, but macro risks remain underpriced.
See where the market may be wrong. Multi-model AI consensus vs. crowd predictions, updated in real time.
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The market is pricing a more optimistic scenario than fundamentals support. ETF demand helps, but macro risks remain underpriced.
Labor market softening and inflation trajectory suggest higher cut probability than the market reflects. Bond markets are already pricing this in.
Legislative momentum is stronger than the market reflects. The AI Act framework is already in place — enforcement timelines are the real question.
Even at 12%, the market overestimates flippening probability. Bitcoin's institutional adoption moat continues to widen.
Shelter costs and services inflation remain sticky. The last mile to 2% is historically the hardest.
True toss-up at this stage. Historical patterns favor the opposition party, but candidate selection will be decisive.
Internal restructuring signals and valuation pressure make an IPO more likely than the market suggests. The for-profit conversion accelerates the timeline.
Even single-digit probabilities matter at this scale. The market overweights recent rhetoric and underweights the massive economic cost to China.
Leading indicators show slowing but not contraction. The market is conflating "slowdown" with "recession" — an important distinction.
Elon Musk timelines consistently overshoot. Technical challenges in life support, radiation shielding, and landing systems remain unsolved.
Regulatory pressure is accelerating faster than the market prices. The de minimis loophole closure, CPSC investigations, and bipartisan political will create a real threat to Temu's current US model.
Meta's data handling practices and AI training methods are under unprecedented scrutiny. The EU Digital Services Act enforcement and FTC oversight create multiple trigger points.
Deepfake voice cloning, AI-generated phishing, and synthetic identity fraud are scaling exponentially. Current loss estimates are likely already underreported.
Counterfeit products, misleading influencer claims, and inadequate buyer protection are creating a regulatory target. The FTC is already monitoring.
Stripe's revenue growth, employee liquidity pressure, and favorable market conditions make a public listing increasingly likely. The 2025 tender offer valued the company at $91B.
NVIDIA holds a commanding lead, but the 99% market price leaves zero room for a surprise Apple or Microsoft rally. The AI trade is consensus — and consensus trades carry reversal risk.
Anthropic leads at 95%, but the AI model landscape shifts rapidly. OpenAI, Google, and xAI all have releases in the pipeline that could disrupt rankings before month-end.
SpaceX is the most anticipated IPO in history, but a $1T+ valuation at listing requires perfect execution and euphoric market conditions. The 92% price assumes too much certainty.
Cerebras filed its S-1 but the AI chip IPO market is crowded and regulatory review of its Saudi Arabia ties adds uncertainty. The 88% price underweights execution risk.
Anthropic's release cadence has been accelerating. The gap between Claude 3.5 and 4.x was shorter than expected, and internal signals suggest Claude 5 development is ahead of schedule.
Discord has repeatedly delayed IPO plans. Revenue growth is strong but profitability remains elusive, and the current market window favors AI companies over social platforms.
Kraken has been quietly preparing for public markets. The crypto regulatory environment is clearing, and Coinbase's success as a public company provides a template.
Four layers of intelligence working together to find where the crowd may be wrong.
Real-time prices from Polymarket, Kalshi, and Metaculus aggregated into a single view.
Each prediction is analyzed by multiple leading AI models to produce an independent consensus.
Significant divergences between AI and market are flagged as potential mispricings.
Breaking news, data releases, and catalysts are captured and linked to each prediction.
ShouldEye Predict & Analyze is an AI-powered prediction market analysis platform. It compares crowd-derived probabilities from platforms like Polymarket and Kalshi against multi-model AI consensus to identify where the market may be mispricing outcomes.
Our AI consensus is generated by running each prediction through multiple leading AI models simultaneously. The models analyze available evidence, historical patterns, and current signals to produce independent probability estimates, which are then aggregated into a consensus view.
A mispricing occurs when the AI consensus probability differs significantly from the market price. If AI says an event has a 70% chance but the market prices it at 50%, that's a potential mispricing — the crowd may be undervaluing the outcome.
ShouldEye covers predictions across Crypto, Politics, Macro (economics), World Events, and Technology. Each category has specialized AI models and evidence sources tailored to that domain.
All predictions update in real time as market prices change and new evidence emerges. The AI consensus is recalculated continuously, and our evidence tracker captures breaking developments as they happen.
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The community sentiment bar shows the percentage of ShouldEye users who agree or disagree with the market price. This gives you a third signal — alongside market price and AI consensus — to inform your view.
No. ShouldEye Predict provides AI-powered analysis and information for educational purposes. It is not financial advice, and predictions should not be the sole basis for any financial decisions.
Prediction markets aggregate crowd intelligence, but crowds have systematic biases — recency effects, narrative anchoring, and availability heuristics. ShouldEye's multi-model AI consensus provides an independent calibration layer, helping you see where the market may be mispricing outcomes across crypto, politics, macro, and world events.
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