Inspiration
Prediction markets are one of the most powerful forecasting tools ever invented - yet they remain inaccessible to most people.
Despite their theoretical accuracy, modern prediction markets ask users to behave like professional analysts: track breaking news, understand polling bias, read order books, model probabilities, and react faster than the market. For most traders, this results in guesswork, emotional trading, and early losses.
At the same time, we are living through an era of extreme political and geopolitical volatility. Outcomes that shape economies, policies, and lives are now tradable instruments - but only a small group of insiders and quantitative traders truly benefit from them.
Our inspiration was simple but ambitious:
What if prediction markets had an intelligence layer - the same way Bloomberg sits on top of financial markets? What if everyday traders could access the kind of multi-disciplinary analysis professionals rely on, in real time, and in plain language?
TradeWizard was born to answer that question.
What it does
TradeWizard is an AI-powered intelligence layer for real-world prediction markets.
It sits on top of regulated prediction market infrastructure (via Polymarket) and transforms raw markets into explainable, data-driven trading strategies.
Instead of showing users just prices and probabilities, TradeWizard continuously analyzes each market through a coordinated league of autonomous AI agents and answers the questions traders actually care about:
- Is this market mispriced?
- What new information is moving probability right now?
- What’s the bull case, the bear case, and the key risk?
- When should I enter, size, or exit a position?
Users can:
- Browse live, real-money prediction markets
- See AI-generated market summaries, theses, and risk analysis
- Receive clear trade recommendations with reasoning
- Execute trades directly into the live market
- Get ongoing alerts as probabilities and narratives shift
The result is not automated trading - but augmented decision-making. TradeWizard turns prediction trading from speculation into strategy.
How we built it
We built TradeWizard as a production-grade intelligence system, not a surface-level demo or single-model experiment.
From the start, our goal was to prove that autonomous AI agents can collaborate reliably on complex, real-world decision problems - using live data, real money markets, and strict correctness requirements.
Architecture Overview
TradeWizard is composed of two tightly integrated systems:
1. Multi-Agent AI Backend
The backend is built as a modular, event-driven multi-agent system designed for explainability, reliability, and extensibility.
- Multi-agent orchestration implemented using LangGraph, with over a dozen specialized agents operating as an “agent league”
Specialized agents covering:
- Market ingestion and order book analysis
- News and event intelligence
- Polling and statistical interpretation
- Sentiment and narrative tracking
- Risk philosophy and downside modeling
- Thesis construction (bull / bear cases)
- Adversarial cross-examination
- Consensus synthesis and recommendation generation
Multi-LLM support across OpenAI, Anthropic, and Google models, with intelligent fallback and routing
Real-time data ingestion using Supabase subscriptions for market updates and system events
Observability-first design, including full LLM call tracing, cost monitoring, and performance diagnostics via Opik
Extensive testing and safeguards, including unit, integration, and continuous test coverage to ensure stability under real-world conditions
Rather than relying on a single “all-knowing” model, TradeWizard deliberately decomposes reasoning into independent perspectives and forces them to agree - improving robustness, transparency, and trust.
2. Professional Trading Frontend
The frontend is designed to feel like a modern trading terminal - optimized for clarity, speed, and confidence.
- Built with Next.js App Router and TypeScript
- Real-time UI updates for markets, probabilities, and positions
- Wallet-based authentication via Magic Link
- Direct integration with Polymarket’s CLOB API for live trade execution
- Mobile-optimized layout and performance-focused rendering
The interface is intelligence-first: AI analysis is not hidden behind tabs or modals, but presented directly alongside each market so users can immediately understand what the system sees and why.
Intelligence Flow
At a high level, TradeWizard operates as a continuous intelligence loop:
- Live market, news, polling, and sentiment data are ingested and normalized
- Specialized agents analyze the market independently from their domain perspectives
- A consensus engine reconciles conflicting signals into a coherent market view
- A strategy engine produces structured, explainable trade recommendations
- The system continues monitoring the market after execution, updating users as conditions change
Crucially, users always remain in control. TradeWizard does not execute trades autonomously - it provides decision intelligence, not delegation.
Why this approach matters
This architecture allows TradeWizard to:
- Scale across hundreds of concurrent markets
- Adapt to new domains without redesigning the system
- Remain explainable and auditable by design
- Operate reliably on top of real, regulated market infrastructure
In short, we didn’t just build an AI feature - we built an intelligence platform.
Challenges we ran into
1. Avoiding “black-box” AI Prediction markets require trust. Early iterations produced correct answers without clear reasoning - which is unacceptable in financial decision-making. We redesigned the system so every agent produces structured, auditable outputs, and every recommendation includes explicit assumptions and risks.
2. Real-time constraints Markets move fast. We had to engineer aggressive caching, streaming updates, and agent parallelization to keep analysis timely without sacrificing depth.
3. Balancing autonomy and control Fully autonomous trading was determined to be both risky and unnecessary. We intentionally designed TradeWizard as a decision-support system, ensuring users remain in control while benefiting from AI intelligence.
4. Production reliability Hackathon projects often fail at scale. We invested heavily in testing, monitoring, rate limiting, and failure recovery to ensure the system behaves like real infrastructure - not a prototype.
Accomplishments that we’re proud of
- Built a production-ready multi-agent AI system, not a single-model demo
- Integrated directly with real, regulated prediction markets
- Achieved sub-30-second full market analysis across hundreds of markets
- Implemented full observability, testing, and monitoring pipelines
- Designed an AI system that is explainable by default, not afterthought
- Delivered a polished, mobile-ready product experience
- Reached a state where the platform is genuinely launch-ready
TradeWizard is not a concept - it works.
What we learned
- Intelligence beats prediction. Users don’t want just probabilities; they want reasoning, risk, and context.
- Multi-agent systems outperform monolithic models in complex, real-world domains.
- Explainability is not optional in financial products - it’s the product.
- Building for production from day one dramatically changes architectural decisions.
- Prediction markets are a perfect sandbox for AI decision intelligence - structured outcomes, clear resolution, and constant feedback.
Most importantly, we learned that AI becomes truly powerful when it augments human judgment instead of replacing it.
What’s next for TradeWizard
In the near term:
- Expand the agent league into crypto, sports, and macroeconomic markets
- Improve onboarding and portfolio-level intelligence
- Launch native mobile applications
Longer term:
- Advanced portfolio optimization and risk management
- Social and community-driven market intelligence
- Public APIs for developers and institutions
- Expansion into new regions and market verticals
Our long-term vision is clear:
TradeWizard becomes the default intelligence platform for trading real-world outcomes - the Bloomberg Terminal for prediction markets.
TradeWizard represents what happens when AI, product design, and real infrastructure are taken seriously - even in a hackathon setting.
We’re excited to put it in the hands of the world.
Built With
- gemini
- next.js
- typescript
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