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Prediction Market Strategies: The Complete Trading Playbook
Updated March 2026 — A comprehensive guide to prediction market trading strategies. Value betting, news trading, arbitrage, calendar trading, portfolio diversification, market making, risk management, and common mistakes to avoid.
1. Why Strategies Matter in Prediction Markets
Prediction markets are not lotteries. They are competitive, information-driven markets where the price of every contract reflects the collective intelligence of thousands of traders. Without a deliberate strategy, you are not trading — you are gambling. And against the crowd, the house edge of fees and spreads means that gambling loses money over time.
The traders who consistently profit on Polymarket, Kalshi, and other platforms share one thing in common: they have a repeatable, disciplined approach to finding and exploiting market inefficiencies. They know exactly what type of edge they have, how much to bet, and when to walk away.
This guide covers the six core prediction market trading strategies that professional traders use, from beginner-friendly value betting to advanced market making. Each strategy is explained with real examples, specific numbers, and actionable implementation steps.
Who Is This Guide For?
- Beginners who want to move beyond random betting and start treating prediction markets seriously
- Intermediate traders looking to formalize their approach and discover new strategies
- Experienced traders from other markets (stocks, crypto, sports betting) who want to apply their skills to prediction markets
Prerequisites: You should understand how prediction markets work and have a funded account on at least one platform. If you don't, start with those guides first.
2. Strategy 1: Value Betting
Value betting is the most fundamental and accessible prediction market strategy. The concept is simple: find markets where the price is wrong, then bet on the outcome you believe is underpriced. Over many trades, your superior probability estimates translate into consistent profit.
How Value Betting Works
Every prediction market contract trades between $0.00 and $1.00, where the price represents the market's implied probability of the outcome. A Yes contract at $0.60 means the market thinks there is a 60% chance the event happens. If you believe the true probability is 75%, the contract is underpriced by 15 percentage points — and buying it has positive expected value.
Market: "Will Candidate X win the primary?" — Yes at $0.40
Your analysis: Based on polling data, endorsements, and historical patterns, you estimate the true probability at 55%
Expected value per share: (0.55 × $0.60) − (0.45 × $0.40) = $0.33 − $0.18 = +$0.15 per share
If you buy 500 shares at $0.40 ($200 invested):
• If correct: profit of 500 × $0.60 = $300
• If wrong: loss of $200
• Expected profit: 500 × $0.15 = $75 (37.5% expected return)
How to Find Mispriced Markets
Not every market is mispriced. High-volume political markets on Polymarket with $10M+ in volume are generally efficient — thousands of informed traders have already pushed the price close to the true probability. The best value betting opportunities appear in:
- Newly listed markets: The first 24–48 hours after a market opens often have inefficient prices as liquidity builds and information gets incorporated.
- Low-volume markets: Markets with under $100K in total volume have fewer participants and more pricing errors.
- Markets outside mainstream focus: Obscure policy questions, international events, and niche topics attract fewer specialists.
- Markets affected by bias: Fan-driven sports markets and politically charged events often have prices skewed by emotional participants rather than probability estimates.
- Post-news lag: When news breaks, some markets take minutes or hours to fully adjust, especially on lower-liquidity platforms.
Value Betting Checklist
- Identify a market in your area of expertise
- Form an independent probability estimate before looking at the market price
- Compare your estimate to the market price — is there at least a 10-percentage-point gap?
- Verify your reasoning: what does the market know that you might be missing?
- Size the position using the Kelly criterion (see Risk Management)
- Record the trade: market, your estimated probability, entry price, position size
3. Strategy 2: News Trading
News trading is the strategy of rapidly trading on breaking news before prediction market prices fully adjust. When a significant event occurs — a political endorsement, a court ruling, an economic data release — there is a window of minutes to hours where market prices lag behind the new information. Fast traders profit by being first to act.
Why News Creates Trading Opportunities
Prediction markets are not instantaneous. When the Federal Reserve announces an unexpected rate cut, the "Will the Fed cut rates?" market on Polymarket doesn't jump to $0.99 instantly. It moves in waves as traders notice the news, analyze its implications, and place orders. The first traders to react capture the most value.
Market: "Will the Supreme Court overturn law X?" — currently at $0.35
Breaking news: A leaked draft opinion shows a 6–3 majority in favor of overturning
Timeline:
• T+0 minutes: News breaks on SCOTUSblog. Market still at $0.35
• T+2 minutes: You buy 1,000 shares at $0.38 ($380 invested)
• T+10 minutes: Market reaches $0.65 as more traders react
• T+30 minutes: Market settles at $0.78
Your options: Sell at $0.78 for immediate profit of $400 (105% return), or hold until resolution for potentially larger gain.
Setting Up for News Trading
- Monitor multiple news sources: Set up alerts on Twitter/X for key accounts, subscribe to wire services (AP, Reuters), and follow domain-specific sources (SCOTUSblog, FedWatch, etc.)
- Pre-fund your accounts: You cannot trade on breaking news if your USDC is still in transit. Keep trading capital ready on both Polymarket and Kalshi.
- Pre-analyze scenarios: Before a known event (FOMC meeting, election night, court ruling), determine in advance what you will do for each possible outcome and at what price.
- Use limit orders: In fast-moving markets, market orders can fill at terrible prices. Use limit orders to control your entry price.
- Know which markets to trade: Before news breaks, identify the 3–5 prediction markets most likely affected. Don't scramble to find them during the event.
Best News Sources by Market Category
| Category | Primary Sources | Speed Advantage |
|---|---|---|
| US Politics | AP, Reuters, Politico alerts, key journalist Twitter/X accounts | 1–5 minutes ahead of market adjustment |
| Economics / Fed | BLS.gov, Fed press releases, CME FedWatch, Bloomberg terminal | 30 seconds – 3 minutes |
| Legal / Courts | SCOTUSblog, PACER, court-specific RSS feeds | 2–10 minutes |
| International | Reuters, AFP, local-language media, embassy accounts | 5–30 minutes (less efficient markets) |
| Crypto / Tech | On-chain data, GitHub commits, company blogs, The Block | 1–10 minutes |
4. Strategy 3: Arbitrage Between Platforms
Arbitrage exploits price differences for the same event across different prediction market platforms. When Polymarket and Kalshi disagree on the probability of an outcome, you can buy on the cheaper platform and sell (or buy the opposite) on the more expensive one, locking in a guaranteed profit regardless of the outcome.
Types of Prediction Market Arbitrage
There are two main types of arbitrage in prediction markets:
- Cross-platform arbitrage: The same event is priced differently on two platforms. Buy Yes on the cheaper platform and No on the other (or vice versa) so that the combined cost is less than $1.00.
- Intra-market arbitrage: Within a single platform, Yes + No prices sum to less than $1.00. Buy both sides and guarantee a profit when the market resolves.
Event: "Will the UK call a general election before July 2026?"
Polymarket Yes price: $0.42
Kalshi No price: $0.52 (implying Yes = $0.48)
Trade: Buy Yes on Polymarket at $0.42, buy No on Kalshi at $0.52
Total cost: $0.42 + $0.52 = $0.94 per pair
Guaranteed payout: $1.00 (one side always wins)
Guaranteed profit: $0.06 per pair (6.4% return)
After Kalshi's ~5% winner fee: net profit drops to ~$0.01–$0.03 per pair (1–3% return).
Still profitable, but margins are thin.
Finding Arbitrage Opportunities
Pure arbitrage opportunities are rare and short-lived because other traders are looking for them too. The best way to find them:
- Use PredScope: Track odds across platforms in real time to spot divergences.
- Check during volatile events: Major news causes prices to move at different speeds on different platforms, creating temporary gaps.
- Monitor newly launched markets: When a new market launches on one platform but has existed on another for weeks, the new market often starts at inefficient prices.
- Build automated alerts: Use the Polymarket and Kalshi APIs to monitor price differences and alert you when spreads exceed your fee threshold.
For a deep dive into arbitrage techniques, see our dedicated Prediction Market Arbitrage guide.
Key Arbitrage Risks
- Execution risk: Prices can move before you complete both legs of the trade
- Settlement risk: Different platforms may resolve the same event differently due to varying resolution criteria
- Fee erosion: Polymarket fees are near zero, but Kalshi's 3–7% winner fee can eliminate thin margins
- Capital lockup: Your funds are tied up until the market resolves, which could be weeks or months
5. Strategy 4: Calendar Trading
Calendar trading means strategically building and exiting positions around known, scheduled events that will cause significant price movement in prediction markets. Unlike news trading (which reacts to unexpected events), calendar trading lets you plan your trades days or weeks in advance.
How Calendar Trading Works
Many prediction markets are tied to events with known dates: elections, FOMC meetings, earnings reports, court ruling dates, and scheduled data releases. Before these events, market prices reflect uncertainty. After the event, prices collapse toward $0.00 or $1.00. The strategy is to position yourself before the event based on your analysis, then profit as uncertainty resolves.
Market: "Will the Fed raise rates at the June 2026 FOMC meeting?" — Yes at $0.25
Your analysis: Inflation data trending higher, employment strong, Fed rhetoric hawkish. You estimate 45% probability of a hike.
Trade: Buy Yes at $0.25 (a week before the meeting)
Position: 2,000 shares = $500 invested
Scenario A — Fed raises rates: Shares go to $1.00. Profit: $1,500 (300% return)
Scenario B — Fed holds: Shares go to $0.00. Loss: $500
Expected value: (0.45 × $1,500) − (0.55 × $500) = $675 − $275 = +$400 expected profit
Key Calendar Events for Prediction Market Traders
| Event Type | Frequency | Typical Market Impact |
|---|---|---|
| FOMC meetings | 8 per year | Immediate resolution of rate-related markets; cascading effects on economic markets |
| US elections | Every 2 years (major) | Massive volume; hundreds of related markets resolve simultaneously |
| Jobs report (BLS) | Monthly (first Friday) | Resolves employment and economic indicator markets |
| CPI data release | Monthly | Directly resolves inflation markets; indirectly affects Fed policy markets |
| Supreme Court opinions | June–July (major rulings) | Resolves legal and policy markets, often with spillover effects |
| International summits | Varies | Resolves geopolitical and trade-related markets |
Calendar Trading Tips
- Build a trading calendar: Maintain a calendar of all upcoming events relevant to active prediction markets. Plan your positions days in advance, not hours.
- Enter positions early: Prices tend to drift toward the eventual outcome in the days before an event as information leaks and expectations solidify. Early positioning captures this drift.
- Consider selling before resolution: If the price has moved 70% of the way toward your target, consider taking profit rather than holding through the event. A bird in hand reduces variance.
- Watch for correlated markets: A single event can affect multiple markets. The FOMC decision affects rate markets, inflation markets, recession markets, and even political markets (via economic sentiment). Trade the full chain.
6. Strategy 5: Portfolio Diversification
Portfolio diversification is not a single-trade strategy — it is a meta-strategy that makes all your other strategies more effective. By spreading your capital across many uncorrelated markets, you reduce the impact of any single loss and allow the law of large numbers to smooth out your returns.
Why Diversification Matters
Even if you have a genuine edge of +10% expected value per trade, any single trade can lose. A coin with a 60% chance of heads can come up tails five times in a row. Diversification is how you survive variance long enough for your edge to compound.
- Any single prediction — even a confident one — can be wrong due to events you could not anticipate
- Spreading across markets smooths out variance and lets your edge compound over many simultaneous trades
- Different market categories (politics, economics, sports, crypto) are largely uncorrelated — a sports loss does not correlate with a political loss
- Staggering resolution dates provides more consistent cash flow rather than lumpy all-or-nothing outcomes
Bankroll: $5,000 | Edge per trade: +8% expected value
Concentrated (3 markets):
$1,667 per market × 3 markets
Probability of losing on all 3: ~9% (assuming 45% loss rate per trade)
Maximum drawdown risk: $5,000 (total bankroll)
Diversified (20 markets):
$250 per market × 20 markets
Probability of losing on all 20: 0.00004% (essentially zero)
Expected outcome: ~11 wins, ~9 losses
Expected profit: 11 × $305 − 9 × $250 = $3,355 − $2,250 = +$1,105 (22% return)
Same edge, dramatically lower risk.
How to Build a Diversified Prediction Market Portfolio
- Set a maximum per-market allocation: No single position should exceed 5–10% of your total bankroll. For a $5,000 bankroll, that means $250–$500 per market.
- Diversify across categories: Mix at least 3 market types — political, economic, sports, crypto, or entertainment.
- Diversify across time horizons: Hold some positions that resolve in days, some in weeks, and some in months.
- Track correlation: Two US election markets for the same party are highly correlated. A Democratic Senate win and a Democratic House win are not true diversification. Choose genuinely independent events.
- Rebalance regularly: As positions resolve, reinvest the capital into new opportunities rather than increasing the size of existing positions.
7. Advanced Strategy: Market Making
Market making means providing liquidity to prediction markets by simultaneously placing buy orders (bids) below the current price and sell orders (asks) above it. You profit from the spread between your buy and sell prices on each completed round trip. This strategy produces many small, consistent profits rather than a few large wins.
How Market Making Works on Polymarket
On Polymarket, the order book model lets you place limit orders at specific prices. A market maker might place a buy order at $0.48 and a sell order at $0.52 for the same outcome. When both orders fill, the market maker earns $0.04 per share (the spread) regardless of the eventual outcome.
Market: "Will Candidate Y win?" — mid-price $0.50
Your orders: Buy at $0.48, Sell at $0.52
Spread captured per round trip: $0.04 per share
Daily volume you capture: 5,000 shares
Daily gross profit: 5,000 × $0.04 = $200
Capital deployed: ~$2,500 (average inventory)
Daily return: 8% on deployed capital
Annualized (before accounting for inventory risk): very high — but inventory risk is the catch.
The Inventory Risk Problem
Market making sounds like free money, but there is a significant catch: inventory risk. If the market price moves sharply in one direction (say, from $0.50 to $0.80 after news breaks), your buy orders at $0.48 will keep filling while your sell orders at $0.52 will not. You accumulate a large position on the wrong side of a move, and the unrealized loss far exceeds the small spreads you collected.
Professional market makers manage this by:
- Adjusting quotes in real time: Moving bid and ask prices as the mid-price shifts. If the market moves to $0.55, your quotes should move to $0.53 bid / $0.57 ask.
- Setting maximum inventory limits: Automatically canceling orders when your net position exceeds a threshold (e.g., 2,000 shares in one direction).
- Widening spreads during volatile periods: Wider spreads compensate for the higher risk of adverse price movement.
- Using automation: Manual market making is impractical. Serious market makers use the Polymarket API to auto-quote, auto-hedge, and manage inventory programmatically.
Market Making Requirements
| Requirement | Minimum | Recommended |
|---|---|---|
| Capital | $2,000 | $10,000+ |
| Technical skill | API familiarity | Automated trading bot |
| Time commitment | 4+ hours/day monitoring | 24/7 automated system |
| Markets to trade | 2–3 high-volume markets | 10+ markets for diversification |
| Expected return | 5–15% monthly | 10–30% monthly (before inventory losses) |
8. Risk Management
The fastest way to fail in prediction markets is not having a bad strategy — it is betting too much on individual trades and going broke before your edge can compound. Risk management is not optional. It is the foundation that makes every other strategy in this guide work.
The Kelly Criterion for Position Sizing
The Kelly criterion is the mathematically optimal formula for determining how much of your bankroll to risk on a single trade when you have an edge:
Where:
f = fraction of bankroll to bet
b = net odds (payout per dollar risked)
p = your estimated probability of winning
q = 1 − p (probability of losing)
Example:
Market price: $0.45 (Yes shares cost $0.45, pay $1.00 if correct)
Net odds: b = $0.55 / $0.45 = 1.22
Your estimated probability: 60% (p = 0.60, q = 0.40)
Kelly: (1.22 × 0.60 − 0.40) / 1.22 = 0.332 / 1.22 = 27.2% of bankroll
Full Kelly is aggressive. Most traders use Half-Kelly (13.6%) or Quarter-Kelly (6.8%) to reduce variance while preserving most of the long-term growth benefit.
Bankroll Rules Every Trader Should Follow
- Never risk more than 10% of your bankroll on a single trade — even if Kelly says more. Full Kelly assumes perfect probability estimates, which no human has.
- Keep 20–30% of your bankroll in cash reserve — unexpected opportunities (arbitrage, post-news mispricing) require available capital.
- Set a stop-loss circuit breaker: If your total bankroll drops by 30% from its peak, stop trading for at least one week. Review every losing trade and identify whether the strategy is broken or you hit normal variance.
- Only trade with discretionary funds: Prediction markets should use money you can afford to lose entirely. Never trade with rent money, emergency savings, or borrowed funds.
- Scale position size with confidence: Low-confidence trades get 1–2% of bankroll. Medium-confidence trades get 3–5%. High-conviction trades with a clear edge get 5–10%. Nothing gets more than 10%.
Position Sizing by Confidence Level
| Edge Confidence | Max Position (% of Bankroll) | Example ($10K bankroll) |
|---|---|---|
| Low (small edge, uncertain) | 1–2% | $100–$200 |
| Medium (clear edge, some uncertainty) | 3–5% | $300–$500 |
| High (strong edge, high conviction) | 5–10% | $500–$1,000 |
| Maximum (exceptional, rare opportunity) | 10–15% | $1,000–$1,500 |
Maximum Exposure Rules
Beyond individual position sizing, set limits on your total portfolio exposure:
- Maximum correlated exposure: No more than 20% of your bankroll in markets that are likely to move together (e.g., multiple markets in the same election cycle).
- Maximum single-platform exposure: If you trade on multiple platforms, keep no more than 60–70% of your total capital on any one platform. Platform risk (hacks, regulatory action, withdrawal freezes) is real.
- Maximum long-duration exposure: No more than 40% of your bankroll in markets that resolve more than 3 months from now. Long-duration positions tie up capital and increase opportunity cost.
9. Common Mistakes to Avoid
1. Emotional Trading
The single biggest account killer. Trading because you are excited, angry, or want to "get back" losses from a bad trade is not a strategy — it is gambling. Every trade should be justified by a specific, articulable edge. If you cannot explain in one sentence why you believe the market is wrong, you should not be trading that market.
2. Overconfidence in Your Predictions
Studies consistently show that humans are overconfident in their probability estimates. When you think something is "80% likely," it often happens only 65–70% of the time. This means your Kelly-optimal bet sizes are too large, your edge is smaller than you think, and you are taking on more risk than you realize. The fix: track your predictions meticulously and calibrate your confidence levels against actual outcomes.
3. Ignoring Fees and Spreads
A trade with +3% expected value sounds profitable — until you account for Polymarket's spread or Kalshi's 3–7% winner fee. Always model fees into your expected value calculation before entering a trade. On Kalshi, a trade needs a significantly larger edge to be profitable after fees compared to the same trade on Polymarket.
Trade: Buy Yes at $0.50, your estimated true probability: 58%
Gross EV: (0.58 × $0.50) − (0.42 × $0.50) = +$0.08 per share
On Polymarket (near-zero fees): Net EV = +$0.08 per share
On Kalshi (5% winner fee): Net EV = $0.08 − (0.58 × $0.05) = +$0.051 per share
Kalshi's fee reduces your edge by 36% on this trade.
4. Trading Outside Your Knowledge Area
Every prediction market category has specialists who study it full-time. When you trade a cricket match without following cricket, or a Turkish election without understanding Turkish politics, you are the uninformed participant the specialists profit from. Stick to 2–3 categories you genuinely understand better than the average trader.
5. No Record-Keeping
Traders who do not track their results cannot distinguish skill from luck. Keep a spreadsheet with: market name, entry price, your estimated probability, position size, resolution date, outcome, and profit/loss. After 50+ trades, this data reveals your true edge (or lack thereof) and which market categories are most profitable for you. This data is also required for tax reporting.
6. Ignoring Liquidity
Entering a $2,000 position in a market with $5,000 in total volume means you will move the price significantly on entry and may not be able to exit at a fair price. Before sizing up, check the order book depth. A good rule: your position should not exceed 5% of the market's total open interest.
7. Anchoring to Your Entry Price
If you bought at $0.60 and the price drops to $0.45, the question is not "how do I get back to even?" The question is: "Given what I know now, would I buy at $0.45?" If the answer is yes, hold or buy more. If the answer is no, sell immediately. Your entry price is irrelevant to the correct decision going forward.
10. Tools and Resources
PredScope — Odds Tracking and Comparison
PredScope is the essential tool for prediction market traders. Track live odds across markets, compare pricing between platforms, identify mispriced markets, and monitor your target markets in real time. Use PredScope to:
- Find markets where prices have moved sharply (potential value bet opportunities)
- Compare the same event across Polymarket and Kalshi (arbitrage opportunities)
- Track election odds and political market movements
- Use the odds calculator to convert between probability, decimal odds, and implied probability
Platform APIs for Automation
Serious traders, especially market makers and arbitrage traders, need programmatic access:
- Polymarket API: Full order book access, real-time pricing, and trade execution. Essential for market making and automated arbitrage strategies.
- Kalshi API: Market data and order placement. More limited than Polymarket but sufficient for basic automation.
- Custom bots: Python is the most common language for prediction market bots. Libraries like
py-clob-client(Polymarket) simplify API integration.
Analysis and Research Tools
- Spreadsheet tracking: At minimum, maintain a Google Sheet or Excel file tracking every trade with entry price, estimated probability, outcome, and P&L.
- Calibration tools: Metaculus and Good Judgment Open offer free calibration tracking to improve your probability estimation skills.
- News aggregators: Set up Google Alerts, Twitter/X lists, and RSS feeds for topics relevant to your target markets.
- Economic calendars: ForexFactory and Investing.com provide calendars of economic data releases that affect prediction markets.
Strategy Comparison Summary
| Strategy | Difficulty | Capital Needed | Time Commitment | Expected Edge |
|---|---|---|---|---|
| Value Betting | Beginner | $100–$500 | 2–5 hrs/week | 5–15% per trade |
| News Trading | Intermediate | $500–$2,000 | Variable (event-driven) | 10–50% per trade (when opportunities arise) |
| Arbitrage | Intermediate | $1,000–$5,000 | 5–10 hrs/week | 1–5% per trade (risk-free) |
| Calendar Trading | Intermediate | $500–$2,000 | 3–6 hrs/week | 10–30% per trade |
| Portfolio Diversification | Beginner | $2,000+ | 3–5 hrs/week | Smooths returns; amplifies other strategies |
| Market Making | Advanced | $5,000–$50,000 | 10+ hrs/week or automated | 10–30% monthly (with inventory risk) |
Frequently Asked Questions
What are the best prediction market strategies for beginners?
Start with value betting and portfolio diversification. Value betting teaches you the core skill of probability estimation — forming your own view of how likely an event is and comparing it to the market price. Portfolio diversification reduces your risk by spreading capital across many uncorrelated markets. Together, these two strategies let you learn prediction market fundamentals without risking catastrophic losses. Once you are profitable over 50+ trades, consider adding news trading or calendar trading to your toolkit.
How do you find mispriced markets on Polymarket?
Focus on areas where you have genuine domain expertise. Check newly listed markets (first 24–48 hours often have inefficient prices). Look at low-volume markets under $100K in total volume where fewer specialists are active. Compare prices across platforms using PredScope — if Polymarket and Kalshi disagree by more than 5 cents on the same event, at least one platform is wrong. Watch for markets that have not updated after relevant news breaks. Finally, check if Yes + No prices within a single market sum to significantly more or less than $1.00, which indicates intra-market mispricing.
Can you make consistent profits with prediction market arbitrage?
Yes, but set realistic expectations. Cross-platform arbitrage between Polymarket and Kalshi typically yields 1–5% per trade after accounting for fees, with your capital locked until the market resolves (which could be weeks or months). Intra-market arbitrage (Yes + No summing to less than $1.00) is rarer but offers guaranteed returns. The main challenges are execution speed, capital requirements across multiple platforms, and Kalshi's winner fee eroding thin margins. Most serious traders use arbitrage as a low-risk supplement to their primary strategy rather than a standalone approach. See our full arbitrage guide for detailed examples.
What is the Kelly criterion and how should I use it for position sizing?
The Kelly criterion calculates the mathematically optimal bet size: f = (bp − q) / b, where b is your net odds, p is your probability of winning, and q is 1 − p. For example, if a Yes share costs $0.45 and you estimate a 60% chance of winning, Kelly says to bet about 27% of your bankroll. However, full Kelly assumes perfect probability estimates and produces high variance. Most experienced traders use Half-Kelly (half the calculated amount) or Quarter-Kelly for a smoother equity curve. Never exceed 10% of your bankroll on a single trade regardless of what Kelly says, because your probability estimates are never perfectly accurate.
Which prediction market platform is best for implementing trading strategies?
Polymarket is the best platform for most strategies due to its near-zero fees (0% maker fees), deep liquidity, 1,000+ simultaneous markets, and robust API for automation. Kalshi is better for US residents who want regulatory protection and easy bank funding, but its 3–7% winner fee significantly reduces the profitability of most strategies. For arbitrage, you need accounts on both. For market making, Polymarket's zero maker fee and order book model make it the clear choice. See our Polymarket vs Kalshi comparison for full details.
How much money can you realistically make with prediction market strategies?
Returns vary widely by strategy, skill level, and capital. Realistic ranges for consistently profitable traders: value betting produces 15–40% annual returns on deployed capital, arbitrage produces 5–15% annually (lower risk), and market making can produce 10–30% monthly but with significant drawdown risk. The top 5–10% of Polymarket traders have achieved 50–300%+ annual returns, but most casual participants lose money. Key factors: your edge compounds only if you manage risk properly, track results, and continuously refine your approach. Start with $100–$500 to learn, and only scale up after demonstrating positive returns over 50+ trades. Read our complete guide to making money on prediction markets for detailed analysis.
Related Guides
See also: Kalshi API — learn more about Kalshi API.