Documentation Index
Fetch the complete documentation index at: https://lurkai.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
What Track Records are
Track Records help users review performance, history, and credibility over time. Instead of only looking at a single trade, signal, market call, or result in isolation, Track Records are designed to show how a person, strategy, or source has performed across multiple outcomes. The goal is to make reputation more evidence-based.What Track Records are for
Use Track Records when you want to:- review past market calls
- evaluate a trader, strategy, or source
- understand historical performance
- separate signal from noise
- compare claims against actual outcomes
- track consistency over time
- build credibility through documented results
How they work
A Track Record is built from recorded activity and outcomes. Depending on the current version of Lurk, this may include:- saved calls
- completed predictions
- market outcomes
- trade theses
- signal history
- resolved events
- performance summaries
- accuracy or result indicators
What a Track Record may show
A Track Record may include:- total recorded calls or entries
- wins and losses
- resolved and unresolved items
- accuracy over time
- average confidence
- market categories
- strongest areas
- weakest areas
- recent performance
- notes attached to specific calls
Why Track Records matter
Prediction-market users often make claims, post theses, share signals, or discuss opportunities. Track Records make it easier to see whether those claims are backed by history. They help answer questions like:- Has this person been right before?
- Are they consistent or just loud?
- Do they perform better in certain categories?
- Are they improving over time?
- Do they take clear positions or vague ones?
- Are their results actually documented?
Using Track Records
A typical workflow:- Open the Track Records area.
- Select the person, strategy, source, or record you want to review.
- Check the summary metrics.
- Review individual entries.
- Look at resolved outcomes.
- Compare recent performance against longer-term performance.
- Use the record as context before trusting a signal or thesis.
Best practices
Use Track Records as one input in your decision process. A strong Track Record can increase confidence, but it does not guarantee future results. Before relying on a record, check:- sample size
- market category
- recency
- resolution status
- whether entries were specific
- whether the record includes misses, not just wins
- whether performance depends on one lucky outcome

