Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Prediction Markets Mastery: Polymarket & Kalshi Trading Tips
Rating: 4.2 out of 5(6 ratings)
54 students

Prediction Markets Mastery: Polymarket & Kalshi Trading Tips

Learn Polymarket & Kalshi Safely: Rules, Risk Management & Spotting Real Edges
Created byMichael Kane
Last updated 5/2026
English

What you'll learn

  • Understand how prediction markets work, including Yes/No contracts, implied probabilities, liquidity, and resolution processes on major platforms .
  • Identify and manage key risks such as liquidity traps, emotional biases, over-leveraging, and regulatory uncertainties to protect capital and prevent unnecessar
  • Evaluate real-world case studies from recent events to see how prediction markets forecast outcomes more accurately than polls or traditional betting.
  • Apply practical strategies to find and exploit edges, such as monitoring new markets early, using deadline trackers, and combining news sentiment with probabili
  • Understand the core mechanics of prediction markets, including contract rules, resolution processes, and platform-specific guidelines on Polymarket and Kalshi t
  • Apply strict risk management principles — including position sizing, bankroll rules, stop-loss thinking, and avoiding "dumb decisions" like chasing losses or tr

Course content

8 sections8 lectures3h 44m total length
  • Introduction17:25

    Explore how to trade prediction markets responsibly, master platform rules, and identify real edges on Polymarket and Kalshi while managing risk and avoiding common errors.

Requirements

  • No prerequisites except basic computer skills.

Description

What you'll get from this course

Prediction markets are exploding in 2026 — from elections and crypto events to earnings calls and macro indicators. Platforms like Polymarket and Kalshi let anyone bet real money on real-world outcomes, but most beginners lose money fast due to poor risk management, ignored rules, emotional decisions, or platform pitfalls.This course is not about get-rich-quick schemes or hype. It's a no-nonsense, responsible guide to participating in prediction markets without blowing up your capital. You'll learn:

  • Exactly what prediction markets are, how they differ from stocks/crypto/sports betting, and where to trade them (Polymarket vs. Kalshi walkthroughs)

  • Core mechanics: Yes/No contracts, implied probabilities, liquidity, volume, resolution, and payouts

  • Step-by-step platform setup, navigation, first trades, and platform-specific rules/compliance

  • The biggest risks — financial, psychological, regulatory, and platform — and how to avoid the most common beginner mistakes that cause unnecessary losses

  • Practical risk management: position sizing, bankroll rules, emotional controls, pre-trade checklists, and behavioral safeguards

  • How to spot real edges responsibly — mispriced probabilities, news lag, crowd delusions — while staying disciplined and protecting your money first


    By the end, you'll have a clear, structured foundation to trade prediction markets safely and intelligently — whether you're completely new or an experienced trader looking to sharpen your edge without the gambling trap.

Who this course is for:

  • This course is ideal for complete beginners and curious newcomers eager to understand prediction markets responsibly — without getting overwhelmed or losing money to common, avoidable mistakes like poor risk management or rule violations.
  • Event enthusiasts following politics, elections, crypto trends, economic indicators, earnings calls, or geopolitics who want to interpret real-money probabilities smarter than polls or headlines.
  • Casual traders or investors exploring alternatives to stocks/options/crypto, seeking a disciplined, no-hype foundation.
  • Veterans or intermediate users who love hunting edges, reading market data (probabilities, liquidity, volume), spotting mispricings, and staying ahead on resolving events — but want to reinforce rules, capital preservation, and avoiding dumb decisions first.