Understand the Basics
Learn what prediction markets measure, how prices relate to implied probability, and why the contract matters.
Start with the basicsLearn How Prediction Markets Work
Understand market probabilities, contract rules, research evidence, related markets, and strategy testing—without treating uncertainty as certainty.
Choose Your Learning Path
Start with the fundamentals or move directly to the research topic that matches what you are trying to understand.
Research a Market
Learn how to evaluate public evidence, market structure, contrary information, and uncertainty.
Read the research guideCompare Related Markets
See how connected market questions can reveal shared assumptions, confirmation, and divergence.
Explore related marketsTest a Strategy
Turn a research thesis into explicit rules for backtesting, simulation, and risk review.
Learn about backtestingPrediction Market Basics
A prediction market is a market built around a question about a future event. Participants trade positions linked to possible outcomes, and the resulting market price can be interpreted as a changing market-implied probability.
The probability reflects how the market is currently pricing uncertainty under a specific contract. It is not a guarantee that the outcome will happen.
The Question
The exact event or condition the market asks about.
The Outcomes
The possible results defined by the contract.
The Resolution
The rules, deadline, and source used to determine the final outcome.
How to Read a Prediction Market Probability
A market value near $0.64 is commonly interpreted as roughly a 64% market-implied probability. That does not mean the event is certain, and it may not be the exact price available for a new trade.
Displayed Probability
A headline probability derived from a current market measure, which may not be the price available for a new trade.
Bid
The highest currently available price offered by a buyer.
Ask
The lowest currently available price offered by a seller.
Spread
The difference between the current bid and ask.
Liquidity
The availability of orders and market depth for entering or exiting a position.
Volume
The amount of trading activity recorded over a period.
Recent Trade
The latest recorded transaction, which may differ from the price available now.
A headline probability is most useful when it is read together with the contract and the market structure around it.
Why Prediction Market Probabilities Change
Probabilities change when participants update their expectations or when orders change the available market price. Not every move reflects a new verified fact.
- New official information
- Public reporting
- Scheduled events and deadlines
- Changes in liquidity
- Large or concentrated trading activity
- Repricing in related markets
- Changes in public attention or sentiment
- Corrections to previous information
A price move shows that market pricing changed. Timing may suggest which information was relevant, but it does not prove that one headline or post caused the move.
Signals Are Not the Same as Evidence
Signals help direct attention. Evidence helps evaluate the exact outcome defined by the contract.
Evidence
Information that directly supports or challenges the contract outcome and can be traced to an identifiable source.
Signal
A market, news, attention, or sentiment change that suggests something deserves closer research.
Speculation
A claim or possibility that currently lacks enough verifiable support.
Public social-media activity can reveal changing attention or sentiment, but it should not be treated as verified evidence by itself.
How to Research a Prediction Market
Begin with the contract—not with a headline or an existing opinion. Then use a short, repeatable process to organize the available evidence and uncertainty.
- 01Read the exact contract
- 02Check the deadline and resolution source
- 03Review probability, bid, ask, spread, liquidity, and volume
- 04Collect relevant public evidence
- 05Separate fact from inference and speculation
- 06Compare related markets
- 07Document evidence for and against the thesis
- 08Define what would change the conclusion
Build Both Sides of the Thesis
A useful thesis makes supporting evidence, contrary evidence, unresolved questions, and invalidation conditions visible before the conclusion is tested.
Supporting Evidence
What verified information makes the outcome more likely?
Contrary Evidence
What facts or credible sources weaken the current view?
Unknowns
Which important questions remain unresolved?
Invalidation
What new evidence would require the thesis to change?
Sources and Methodology
Pythra uses publicly available prediction market data and evaluates public news, official sources, public records, and relevant public social signals.
Pythra evaluates information according to its relevance to the contract, timing, proximity to the event, and ability to be independently checked.
- 01Official and primary sources
- 02Direct reporting and public records
- 03Prediction market data and activity
- 04Relevant public social signals
Public social signals can show changing attention, discussion, or sentiment. They are not verified evidence by themselves.
Read the full Pythra methodologyHow AI Supports Prediction Market Research
AI can help organize public information, summarize sources, compare claims, connect related questions, and surface contradictions or missing context.
AI output can also be incomplete, outdated, or incorrect. It should be checked against the original sources, exact market contract, and current market conditions.
AI can
- Organize information
- Summarize sources
- Compare evidence
- Surface contradictions
- Structure research workflows
AI cannot
- Guarantee an outcome
- Turn speculation into fact
- Eliminate market risk
- Replace review of the contract
- Guarantee profitable decisions
From Research to Strategy Testing
A research thesis becomes testable when its assumptions are translated into explicit market, entry, exit, timing, sizing, liquidity, and risk rules.
Pythra Forge supports backtesting, simulation, and Live Run. Backtests and simulations are hypothetical. Live Run can execute real-money transactions and may result in financial loss.
Prediction Market Glossary
Use these core definitions when reading a contract, interpreting a probability, or documenting a research thesis.
- Market Question
- The exact event or condition the contract asks about.
- Outcome
- A possible result defined by the market contract.
- Implied Probability
- The probability interpretation commonly associated with a market price.
- Bid
- The highest currently available price offered by a buyer.
- Ask
- The lowest currently available price offered by a seller.
- Spread
- The difference between the current bid and ask.
- Liquidity
- The availability of orders and market depth for entering or exiting a position.
- Volume
- The amount of trading activity recorded over a period.
- Resolution Criteria
- The rules that determine how the market’s final outcome is decided.
- Resolution Source
- The authority, record, announcement, or data source used to settle the contract.
- Thesis
- A documented explanation of why a market outcome may be priced incorrectly.
- Invalidation
- Evidence or a condition that requires the thesis to change.
Frequently Asked Questions
What is a prediction market?
A prediction market is a market built around a question about a future event. Participants trade positions linked to possible outcomes, and the resulting price can be interpreted as a changing market-implied probability.
How do prediction market probabilities work?
A market value can be interpreted as an implied probability under the contract’s structure. For example, a value near $0.64 may be read as roughly 64%, but it does not guarantee the outcome or necessarily equal an executable price.
Why do prediction market probabilities change?
Probabilities may change as new public information appears, deadlines approach, related markets move, liquidity changes, or participants reassess the available evidence.
What should I check before analyzing a prediction market?
Read the exact question, deadline, resolution criteria, and resolution source. Then review the probability together with the bid, ask, spread, liquidity, volume, recent activity, and relevant public evidence.
Are social-media posts reliable prediction market evidence?
Public social activity can show changes in attention, discussion, or sentiment, but it is not verified evidence by itself. Important claims should be checked against primary or independently verifiable sources.
Can AI predict a market outcome?
AI can help organize and compare information, but it cannot guarantee an outcome. AI-assisted analysis should be checked against original sources, the market contract, and current conditions.
What are related prediction markets?
They are separate market questions connected by a shared event, actor, condition, timeline, outcome, or external driver. Related markets may provide context, but each contract must be analyzed separately.
What is prediction market backtesting?
Prediction market backtesting applies predefined strategy rules to historical market data. It can help evaluate assumptions and historical behavior, but it cannot guarantee future performance.
Turn Market Curiosity Into Structured Research
Use Pythra to examine probabilities, organize public evidence, compare related questions, and build a research process that can change when the facts change.