A concrete question
Start from a live market so the odds force a specific claim instead of vague commentary.
AI prediction markets, made legible
Open one live market and understand what the move actually means.
AlphaGO Date turns a priced question into usable context, linked evidence, and the next guide worth reading.
What the first click gives you
A real question first, then the context that makes the move readable.
The linked explanation
Move from the price into the topic context, catalysts, and guide that explain the swing.
How it works after the first click
Once you open one market, the rest of the site should feel like one continuous explanation.
These are follow-on steps in the same reading path: market first, then topic context, then the guide that wraps it up.
Step 1 · Open the market
Start with the live question that makes the story concrete.
Open and recently resolved questions that help readers understand where attention is moving.
open on polymarket
Will Anthropic launch a major remote-agent or MCP-style platform capability in 2026?
Resolves YES if Anthropic publicly launches a major remote-agent or MCP-style platform capability during calendar year 2026.
Open marketopen on kalshi
Will the Fed cut rates at the September 2026 meeting?
Resolves YES if the target federal funds rate is lowered at the September 2026 FOMC meeting.
Open marketopen on manifold
Will GPT-5 reach 5 million paid users by the end of 2026?
Resolves YES if OpenAI reports 5M or more paid GPT-5 users by 2026-12-31.
Open marketStep 2 · Follow the topic context
Use topic pages to connect the current move to the bigger story behind it.
Theme pages connect recurring questions across AI, platforms, policy, and market structure.
agent-tooling
AI Agents
Agent workflows, tool use, and automation patterns for market research and analysis.
View topicai-workflows
AI Trends
Model launches, product milestones, and the big AI questions people actually trade.
View topicmarket-tutorials
Platform Guides
Beginner-friendly guides for comparing platforms, contracts, fees, and market mechanics.
View topicStep 3 · Read the guide
Finish with the explainer that captures the setup in one place.
Recent explainers, platform comparisons, and playbooks ready for public reading.
market analysis
Abidjan 2: Karim Bennani vs Karan Singh
A structured market analysis of Abidjan 2: Karim Bennani vs Karan Singh, covering the current setup, the strongest upside and downside cases, and the signals worth monitoring next.
Read guidemarket analysis
Madrid Open: Vit Kopriva vs Rafael Jodar
This Polymarket contract centers on the ATP Madrid Open match between Vit Kopriva and Rafael Jodar. With upstream research unavailable, the safest approach is to focus on the market’s resolution terms, the clay-court setting in Madrid, and the broad profile contrast readers should verify through official sources before making any prediction.
Read guidemarket analysis
Will Alibaba have a #1 AI model by June 30?
This market turns less on broad sentiment about Alibaba’s AI progress and more on the exact Polymarket resolution source. The key question is what counts as a “#1 AI model”: a specific leaderboard, benchmark snapshot, or evaluator named in the rules. Alibaba’s strongest candidates are its Qwen models, which have posted competitive open-model results, but a YES outcome would usually require Alibaba to hold the top position on the market’s designated ranking source by the June 30 cutoff.
Read guideWho this is for
Built for people who want signal fast, but still want to inspect the reasoning.
AlphaGO Date works best for readers who want a usable market starting point without losing the context, caveats, and methodology behind the write-up.
Traders and forecasters
Start from market prices, then dig into the assumptions, catalysts, and edge cases behind the odds.
AI builders and operators
Track model launches, product milestones, and policy shifts through the lens of real-money or play-money markets.
Curious readers
Learn how prediction markets work, which platforms matter, and why AI stories often turn into tradable questions.
Ready to explore
Start with a market price, then follow the evidence, context, and guide in order.
The site works best when you open a live market first and let the linked topic context and guide carry the rest of the explanation.
Trust pages
Read how AlphaGO Date chooses, updates, and corrects public pages.
These pages explain the site scope, methodology, and editorial standards behind the trust notes shown across topic, market, ranking, and guide pages.
site trust
About AlphaGO Date
What the site is for, who it serves, and why it focuses on prediction intelligence instead of generic AI coverage.
Read policyhow pages are built
Methodology
How topic hubs, trackers, rankings, guides, and freshness notes are built and updated.
Read policycorrections and standards
Editorial Policy
How scope, judgment, corrections, and scaled-content risk are handled on public pages.
Read policy