FinTechAdvancedProject
Build Polymarket prediction market bots
Create AI-powered bots that analyze and trade on prediction markets — an emerging frontier combining AI, finance, and forecasting.
120 min
PythonLangChainPolymarket API
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Self-pacedAvailable
Self-paced
Start immediately and work through the training on your own schedule.
Free
Human trainerComing soon
Human trainer
Join a guided cohort or workshop format when live delivery is available.
$99
Guided by an instructor
AI trainerComing soon
AI trainer
Practice with an AI-guided trainer experience tailored to the course topic.
$9
Personalized guidance
What you'll learn
- Build AI agents that analyze market data and generate trading signals
- Implement sentiment analysis on financial news
- Design risk management systems for algorithmic trading
- Create paper trading pipelines for strategy backtesting
Overview
AI hedge fund and trading agents (61K+ stars) use LLMs and traditional ML to analyze markets and make trading decisions. This course teaches you the architecture and patterns — using paper trading only.
What you'll build
- A market analysis agent that synthesizes news, fundamentals, and technicals
- A signal generation pipeline with AI-powered sentiment analysis
- A paper trading system that executes simulated trades
What you'll learn
- Market data ingestion: APIs, websockets, and data normalization
- AI-powered sentiment analysis on financial news and social media
- Signal generation: combining AI insights with quantitative factors
- Risk management and position sizing fundamentals
- Paper trading execution and performance tracking
Important disclaimer
This course uses paper trading only. No real money is involved. This is educational content about AI architecture in finance, not financial advice.
Why this matters
Finance is one of the highest-value applications of AI agents. Understanding these patterns is valuable whether you're building fintech products or interviewing at trading firms.