Market Trading Terminal · RC10
Key risk: Earnings miss or weak forward guidance
Calibrated 100% · raw 185% — adjusted by the learning loop
AI updated 6/26/2026, 1:47:03 PM
Microstructure, quotes, and decision memory
Live market activity from the aggregated feed. Two-sided quotes appear when an order book is available for this market.
Who contributed to this decision
| Provider | Score | Accuracy | On this market |
|---|---|---|---|
| fincept | 1 | — | Active |
| oryn_db | — | — | Active |
| mistral | — | — | Active |
| polymarket | — | — | Active |
| news | 1 | — | Global only |
| social | 1 | — | Global only |
| economic_calendar | 1 | — | Global only |
| trends | 1 | — | Global only |
| google_trends | 1 | — | Global only |
| pricing_ensemble | 0 | 21% | Global only |
ORYN polls Claude, GPT, Gemini and more — consensus appears as models respond.
Crowd Consensus
10%
ORYN Consensus
8%
Signal Score
-1.9
Opportunity
0.3
Graph Relationships
Related markets and connected predictions
correlates · strength 60%
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correlates · strength 60%
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correlates · strength 60%
GOOGL vs. MANI.love (tech company performance vs. startup growth), GOOGL vs. US Debt Ceiling (market volatility vs. economic uncertainty), GOOGL vs. Sam Altman (CEO succession vs. leadership stability), GOOGL vs. Nation State Propaganda (market reaction to geopolitical tensions), GOOGL vs. OpenAI (AI development vs. transparency in research)
correlates · strength 60%
correlated market
Simulated execution for this market
Quality score
49/100
Fill rate
100%
Executions
125
Avg slippage
4486 bps
Open positions
0
Latency
565ms
Platform-wide model improvement
Events
12,367,148
Trades learned
125
Strategies
5
Providers scored
9
Counterfactual strategy simulations
No replay comparisons for this market yet. Replay runs as markets resolve and accumulate snapshots. Replay lab →
LOW
EV -185.0¢
Entry: 7-13
—
Resolution
Past
Decision snapshots
5
Price history
90 points
This market will resolve to "Yes" if the official closing price for Alphabet Inc. (GOOGL) on June 29 is higher than the listed price. Otherwise, this market will resolve to "No." If the final session is shortened (for example, due to a market-holiday schedule), the official closing price published for that shortened session will still be used for resolution. If no official closing price is published for that session (for example, due to a trading halt into the close, system issue, delisting, or other disruption), the market will use the last valid on-exchange trade price of the regular session as the effective closing price. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Yahoo Finance. The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Yahoo Finance after any adjustments have been applied. The resolution source for this market is Yahoo Finance, specifically the Alphabet Inc. (GOOGL) "Close" prices available at https://finance.yahoo.com/quote/GOOGL/history, published under "Historical Prices."
Crowd-implied vs ORYN AI fair value over time, with decision markers
The market probability of 8.10% indicates very low confidence in GOOGL closing above $355 on June 29. Historical price action and current market conditions suggest limited upside potential for the stock by this date.
GOOGL could close above $355 if strong Q2 earnings (released July 23, but market sentiment may anticipate) or a favorable macroeconomic environment (e.g., AI-related tailwinds, regulatory clarity) drives a rally. A sustained breakout above key resistance levels (e.g., $350) could trigger momentum buying.
GOOGL may struggle to breach $355 due to macro headwinds (e.g., economic slowdown, Fed policy uncertainty) or sector-specific risks (e.g., regulatory scrutiny, AI competition). Weakness in tech equities or a broad market sell-off could cap gains.
Regime: — · Confidence: 0%
Trade links and live readiness
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