How to Build a Prediction Market Portfolio

Most traders on JudgeMarket start the same way: they find a figure they have strong feelings about, go all in, and ride the result. Sometimes it works. Often it does not. And even when it does, it is not a sustainable approach.

The traders who consistently grow their OPS balance over time do something different. They build portfolios. They diversify across eras, fields, and risk profiles. They think in terms of allocation, correlation, and rebalancing — the same principles that drive professional asset management, adapted for the unique dynamics of reputation trading.

This guide shows you how to apply portfolio thinking to JudgeMarket, with concrete strategies, sample allocations, and the reasoning behind each approach.

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Why Portfolios Matter in Reputation Markets

A single position is a bet. A portfolio is a strategy.

When you hold only one position — say, a long on Albert Einstein — your entire outcome depends on what happens to Einstein's price. If the market agrees with you, great. If it does not, your entire balance suffers.

A portfolio reduces this dependency. By spreading your OPS across multiple positions in different categories, you ensure that no single trade can dramatically impact your overall balance. Some positions will win, some will lose, but the portfolio as a whole moves more steadily.

This is not about being cautious. It is about being smart. The most aggressive traders in any market still diversify. They just diversify differently.

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The Three Axes of Diversification

On JudgeMarket, there are three primary dimensions along which to diversify your portfolio.

1. Era Diversification

JudgeMarket figures span thousands of years:

• Ancient — Alexander the Great, Aristotle, Cleopatra, Julius Caesar, Confucius
• Medieval — Genghis Khan, Joan of Arc, Charlemagne, Saladin, Dante Alighieri
• Early Modern — Leonardo da Vinci, Isaac Newton, William Shakespeare, Napoleon Bonaparte, Adam Smith
• 19th Century — Abraham Lincoln, Nikola Tesla, Karl Marx, Charles Darwin, Vincent van Gogh
• 20th Century — Albert Einstein, Winston Churchill, Martin Luther King Jr., Marie Curie, Pablo Picasso
• Contemporary — Elon Musk, Steve Jobs, Lionel Messi, Taylor Swift, Malala Yousafzai

Why does era matter? Because the drivers of price movement differ by era. Ancient and medieval figures have deeply established reputations that change slowly — they are the blue chips. Contemporary figures are driven by current events and media cycles — they are the growth stocks (and the volatility stocks). Diversifying across eras gives you exposure to both stability and opportunity.

2. Field Diversification

Figures are also categorized by their primary field:

• Science — Einstein, Newton, Darwin, Tesla, Curie
• Politics — Lincoln, Churchill, Caesar, Obama, Cleopatra
• Art — Da Vinci, Shakespeare, Van Gogh, Picasso, Dante
• Warfare — Napoleon, Alexander, Genghis Khan, Saladin
• Business — Musk, Jobs, Adam Smith
• Activism — Martin Luther King Jr., Joan of Arc, Malala
• Philosophy — Aristotle, Confucius, Marx
• Pop Culture — Monroe, Swift, Messi
• Religion — Mother Teresa, Dalai Lama

Different fields respond to different catalysts. A controversy about a political figure will not affect the price of a scientist. A viral art history video might boost painters but leave military leaders untouched. Field diversification ensures you are not overexposed to any single type of cultural event.

3. Risk Profile Diversification

Not all figures carry the same risk. On JudgeMarket, risk manifests primarily as price volatility — how much and how quickly a figure's price tends to swing.

Low volatility (blue chips): Figures with deeply established reputations and stable prices. Albert Einstein, Leonardo da Vinci, Confucius, and Isaac Newton rarely swing more than a point or two per week. They are safe harbors.

Medium volatility (established but debated): Figures whose reputations are generally accepted but subject to periodic controversy or reassessment. Winston Churchill, Napoleon Bonaparte, Karl Marx, and Mother Teresa can experience meaningful swings when new debates emerge.

High volatility (contemporary and polarizing): Living figures and recently deceased public personalities whose prices are driven by real-time events. Elon Musk, Taylor Swift, and Barack Obama can move 5 or more points in a single week based on news cycles.

A balanced portfolio includes all three categories, weighted according to your risk tolerance.

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Ready to build your first portfolio? Sign up for JudgeMarket and start with 1,000 OPS to allocate across history's most significant figures.

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Position Sizing: How Much to Put Into Each Trade

Position sizing is the most underrated skill in trading. It does not matter how good your analysis is if you bet too much on one trade and get wiped out, or too little to make a meaningful difference.

The Core Rule

No single position should represent more than 15 to 20 percent of your total portfolio. If you have 1,000 OPS, your largest position should be 150 to 200 OPS at most.

Scaling by Conviction

Not every trade deserves the same allocation. Use a tiered system:

• High conviction (strong thesis, favorable chart setup, confirmed trend): 10 to 15 percent of portfolio
• Medium conviction (reasonable thesis but some uncertainty): 5 to 10 percent
• Low conviction (speculative, exploring an idea): 2 to 5 percent

This ensures your best ideas get the most capital while your experiments do not endanger the portfolio if they fail.

Accounting for Frozen OPS

Remember that limit orders freeze your OPS until they are either filled or cancelled. When calculating your position sizes, use your available balance (total balance minus frozen), not your total balance. Otherwise you might find yourself overallocated with no OPS available for new opportunities.

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Correlation: The Hidden Risk

Diversification only works if your positions are not all doing the same thing. Two positions that always move in the same direction provide no diversification benefit — they behave as one larger position.

On JudgeMarket, correlation tends to run along two lines:

Field correlation. Political figures tend to move together when political sentiment shifts broadly. Scientists tend to be stable together. Artists might rise together during cultural appreciation cycles.

Era correlation. Contemporary figures are more correlated with each other than with historical figures, because they are all affected by the same current events and media environment. Ancient figures are weakly correlated with everything — their reputations are driven by long academic cycles rather than daily news.

Building Low-Correlation Portfolios

The most diversified portfolio holds figures from different eras AND different fields. A portfolio of Albert Einstein (20th century science), Genghis Khan (medieval warfare), Taylor Swift (contemporary pop), Abraham Lincoln (19th century politics), and Leonardo da Vinci (early modern art) has very low internal correlation. These figures are driven by completely different factors, so it is unlikely they would all decline at the same time.

Contrast that with a portfolio of five contemporary business and political figures. A single macro event — say, a broad backlash against tech billionaires — could push all five positions down simultaneously. That is concentrated risk disguised as diversification.

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Sample Portfolios

Here are three sample portfolios for different trading styles, each assuming a 1,000 OPS starting balance.

The Conservative Portfolio

Goal: Steady OPS growth with minimal drawdowns. Prioritizes blue-chip figures with stable reputations.

Figure	Era	Field	Allocation	Direction
Albert Einstein	20th Century	Science	200 OPS	Long
Leonardo da Vinci	Early Modern	Art	200 OPS	Long
Abraham Lincoln	19th Century	Politics	150 OPS	Long
Confucius	Ancient	Philosophy	150 OPS	Long
Marie Curie	20th Century	Science	100 OPS	Long
Cash reserve	—	—	200 OPS	—

This portfolio is heavily weighted toward high-score, stable figures. Price movements will be small but consistent. The 200 OPS reserve allows you to take advantage of opportunistic trades without selling existing positions. Expected weekly movement: 1 to 3 points across the portfolio.

The Balanced Portfolio

Goal: Moderate growth with controlled risk. Mixes blue chips with medium-volatility opportunities and includes some short positions.

Figure	Era	Field	Allocation	Direction
Isaac Newton	Early Modern	Science	150 OPS	Long
Napoleon Bonaparte	Early Modern	Warfare	100 OPS	Short
Martin Luther King Jr.	20th Century	Activism	120 OPS	Long
Nikola Tesla	19th Century	Science	120 OPS	Long
Elon Musk	Contemporary	Business	80 OPS	Short
Joan of Arc	Medieval	Activism	80 OPS	Long
Vincent van Gogh	19th Century	Art	100 OPS	Long
Cash reserve	—	—	250 OPS	—

This portfolio has directional diversity (both longs and shorts), era diversity (ancient to contemporary), and field diversity (science, warfare, activism, business, art). The short positions act as hedges. If the overall market declines, the shorts profit and offset losses on the longs. Expected weekly movement: 3 to 8 points across the portfolio.

The Aggressive Portfolio

Goal: Maximum OPS growth. Accepts higher risk. Focuses on volatile figures, contrarian plays, and active position management.

Figure	Era	Field	Allocation	Direction
Elon Musk	Contemporary	Business	150 OPS	Short
Nikola Tesla	19th Century	Science	150 OPS	Long
Karl Marx	19th Century	Philosophy	120 OPS	Long
Taylor Swift	Contemporary	Pop	100 OPS	Short
Genghis Khan	Medieval	Warfare	100 OPS	Long
J. Robert Oppenheimer	20th Century	Science	80 OPS	Long
Cleopatra	Ancient	Politics	80 OPS	Long
Cash reserve	—	—	220 OPS	—

This portfolio takes bigger bets on higher-volatility figures. The short on Elon Musk is a contrarian play on polarization. The long on Karl Marx at 75 is a value bet on a divisive but intellectually influential figure. The long on Genghis Khan is a play on growing global interest in Mongol history. Expected weekly movement: 5 to 15 points across the portfolio.

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Rebalancing: Keeping Your Portfolio on Track

Markets move, and as they do, your portfolio's allocation drifts. A position that started as 10 percent of your portfolio might grow to 25 percent after a big price move. If you do not rebalance, you become increasingly concentrated in whatever is performing best — which is the opposite of diversification.

When to Rebalance

Rebalance when any position exceeds 20 percent of your total portfolio value, or when a position shrinks to below 3 percent (at which point it is too small to meaningfully contribute).

How to Rebalance

Trim the positions that have grown too large by taking partial profits. Use the freed-up OPS to add to positions that have become underweight, or to open new positions that bring your diversification back into balance.

Do Not Over-Rebalance

Rebalancing too frequently eats into your returns through unnecessary trading. Once a week or once every two weeks is sufficient for most portfolios. Check your allocation, make adjustments if needed, and move on.

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Advanced Portfolio Strategies

Once you are comfortable with the basics, consider these refinements.

Core-Satellite Approach

Allocate 60 to 70 percent of your portfolio to a stable "core" of blue-chip figures that you hold for the long term. Allocate the remaining 30 to 40 percent to a "satellite" of active, short-term trades on volatile figures. The core provides stability. The satellite provides growth.

Pairs Trading

Identify two related figures and go long on one while shorting the other. For example, long Nikola Tesla and short Isaac Newton is a bet that Tesla's price will outperform Newton's, regardless of which direction the market moves. Check the compare pages to evaluate relative value.

This strategy removes market-wide risk and isolates your bet to the relative performance of two specific figures.

Thematic Baskets

Build mini-portfolios around themes:

• The Scientific Revolution basket: Long Isaac Newton, Charles Darwin, Marie Curie, Albert Einstein — a bet that the market collectively undervalues science.
• The Contrarian basket: Short the five highest-priced figures, long the five lowest-priced figures — a mean-reversion strategy.
• The Cultural Reassessment basket: Short figures currently facing public criticism, long figures whose reputations are being rehabilitated.

Thematic baskets let you express a macro view without depending on any single figure to be right.

Dynamic Allocation

Adjust your portfolio's aggressiveness based on market conditions. When volatility is high across the platform (many figures moving 3+ points daily), shift toward your short positions and cash reserve. When volatility is low, increase your long exposure and reduce cash.

This is the portfolio-level equivalent of "buy low, sell high" — you take more risk when the market is calm and less risk when the market is chaotic.

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Common Portfolio Mistakes

Avoid these traps:

1. Over-concentration. Putting more than 30 percent of your OPS into a single figure, no matter how confident you are. One bad trade should never threaten your ability to keep playing.

2. Diversification theater. Holding 10 positions that are all long on 20th-century scientists is not diversified. True diversification requires spreading across eras, fields, and directions.

3. Ignoring cash. Keeping 15 to 25 percent of your portfolio in cash is not being passive — it is being strategic. Cash gives you the flexibility to act on opportunities that appear without having to sell existing positions at unfavorable prices.

4. Never rebalancing. As discussed above, letting winners grow unchecked concentrates your portfolio. Take profits and redeploy.

5. Emotional attachment. Sometimes a trade is not working and you need to close it, even if you genuinely admire the figure. Your portfolio is not a fan club. It is a financial instrument.

6. Trading without a plan. Every position should have a reason for being in the portfolio, a target for what you expect to happen, and a condition under which you would exit. If you cannot articulate these three things, do not place the trade.

For more on the mechanics of entering and exiting positions, read our beginner's guide to trading on JudgeMarket. For chart analysis skills that inform your entry timing, see how to read prediction market charts.

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Building Your Portfolio Today

You do not need a complex system to start. Here is a simple framework:

1. Pick 5 to 8 figures from at least 3 different eras and 3 different fields.
2. Allocate 60 to 80 percent of your OPS across these positions, weighted by conviction.
3. Keep 20 to 40 percent in cash as a reserve.
4. Review weekly. Check your allocations, take profits where appropriate, and look for new opportunities.
5. Iterate. After a month, review your performance. Which types of figures did you trade best? Where did you lose OPS? Adjust your approach based on data, not instinct.

The most successful portfolio managers in any market — stocks, crypto, or reputation — share one trait: discipline. They have a process, they follow it, and they refine it over time. The specific figures you choose matter far less than the consistency of your approach.

Create your JudgeMarket account and start building your portfolio — 1,000 OPS and all of history are waiting.