In this guide
Successful prediction market traders operate with discipline and structure rather than impulse — they commit to a methodical weekly schedule that maximises the return on their research investment. This guide outlines a battle-tested 5-hour weekly system.
Monday: Calendar & Market Scanning (1 hour)
- Survey the week ahead for significant occurrences: central bank announcements, electoral contests, sporting fixtures, economic indicators
- Browse PolyGram's fresh market listings from the previous seven days
- Shortlist between 3 and 5 markets where you might possess a competitive advantage during the coming week
- Examine your current holdings — has fresh data emerged that warrants position adjustments?
Tuesday-Thursday: Deep Research (2 hours)
- Conduct comprehensive analysis of each shortlisted market
- Establish your own probability forecast independent of what the prediction market is currently pricing
- Contrast your forecast against the prevailing market odds — participate only when the discrepancy justifies entry
- Determine appropriate stake size using the Kelly criterion for each prospective position
Friday: Execution & Review (1 hour)
- Place this week's trades during periods of strong trading volume
- Assess markets that are settling this week — document how outcomes aligned with your forecasts
- Refresh your tracking document with results
Weekend: Performance Analysis (1 hour)
- Tally weekly returns and cumulative Brier score (a measure of forecast accuracy)
- Spot recurring patterns or biases in your recent forecasting performance
- Consume one scholarly article or professional analysis relevant to your specialisation area
FAQ
- Can I be profitable trading prediction markets part-time?
- Absolutely — numerous successful traders operate on fewer than 10 hours weekly. The calibre of your research outweighs the sheer volume of hours invested.
- What tools do I need for this routine?
- PolyGram's platform for placing trades, a simple spreadsheet for record-keeping, and access to your preferred information sources within your area of expertise. Expensive or specialised software is unnecessary.