#Market State Progression
Unopened → Open → Closed → Settled/Resolved
#Definition
Open is the active trading state of a prediction market where users can place orders, execute trades, and actively participate in price discovery. This is the core operational phase where the market serves its primary purpose: aggregating information and enabling risk transfer through trading.
#Characteristics
Status: 🟢 Live and actively trading
What's happening:
- Real-time trading
- Price fluctuations
- Liquidity flowing
- Information aggregation
- Order book activity (or AMM trading)
- Volume accumulating
What you can do: ✅ Buy YES or NO shares ✅ Sell shares you own ✅ Place limit orders ✅ Place market orders ✅ Cancel pending orders ✅ Add liquidity (AMM markets) ✅ Remove liquidity (with restrictions) ✅ Monitor price movements ✅ React to news and events ✅ Adjust positions dynamically
What you cannot do: ❌ Change market rules ❌ Force early close ❌ Redeem shares (event hasn't resolved) ❌ Modify resolution criteria ❌ See final outcome (still uncertain)
#Duration of Open State
Varies widely by market type:
#Short-Term (Hours)
Example: "Will Fed raise rates at 2 PM meeting?"
Opens: 9:00 AM
Closes: 2:00 PM
Open duration: 5 hours
Common for:
- Same-day events
- Intraday announcements
- Breaking news
- Rapid resolution markets
#Medium-Term (Days to Weeks)
Example: "Will candidate win primary next Tuesday?"
Opens: 2 weeks before
Closes: Primary day
Open duration: 14 days
Common for:
- Weekly sports events
- Upcoming elections
- Earnings reports
- Scheduled announcements
#Long-Term (Months)
Example: "Will Bitcoin reach $100k in 2025?"
Opens: Jan 1, 2025
Closes: Dec 31, 2025
Open duration: 12 months
Common for:
- Annual predictions
- Long-term outcomes
- Major political events
- Technology milestones
#Ultra Long-Term (Years)
Example: "Will humans land on Mars by 2030?"
Opens: 2024
Closes: 2030
Open duration: 6+ years
Common for:
- Decade predictions
- Scientific breakthroughs
- Long-term geopolitical events
- Rare but high-impact outcomes
#Trading Session Timeline
#Trading Dynamics During Open
#Early Period
Characteristics:
- High uncertainty
- Wide bid-ask spreads (sometimes)
- Lower volume (building interest)
- Prices around 50¢ (if truly uncertain)
- Information-gathering phase
Trader behavior:
- Cautious position-sizing
- Long-term holders entering
- Information traders researching
- Market makers providing liquidity
Example:
Day 1 of 90-day market:
Price: 52¢ (near 50/50)
Volume: $500 (light)
Spread: 50¢ bid / 54¢ ask (4¢ wide)
Action: Informed traders accumulating
#Middle Period
Characteristics:
- More information available
- Tighter spreads
- Moderate volume
- Price finding equilibrium
- Pattern emergence
Trader behavior:
- Active trading both directions
- Swing traders entering/exiting
- Position adjustments
- Arbitrage opportunities identified
Example:
Day 45 of 90-day market:
Price: 65¢ (YES gaining confidence)
Volume: $5,000 (moderate activity)
Spread: 64¢ bid / 66¢ ask (2¢ wide)
Action: Balanced trading
#Late Period (Near Close)
Characteristics:
- Outcome becoming clearer
- Very tight spreads
- High volume (FOMO and urgency)
- Price converging toward 0¢ or 100¢
- Last chances to trade
Trader behavior:
- Profit-taking
- Last-minute entries
- Capitulation of wrong-side traders
- Sophisticated traders exploiting panic/greed
Example:
Day 89 of 90-day market:
Price: 88¢ (YES very likely)
Volume: $25,000 (high activity)
Spread: 87¢ bid / 89¢ ask (2¢ wide)
Action: YES holders taking profits, NO holders capitulating
#Price Discovery During Open
#How Prices Move
Information-driven:
News breaks → Informed traders react → Price moves → Others observe → Cascade effect
Example flow:
10:00 AM: Market at 50¢
10:30 AM: Favorable poll released
10:31 AM: Informed traders buy YES aggressively
10:35 AM: Price jumps to 65¢
10:40 AM: Others see movement, research news, some join
11:00 AM: Price stabilizes at 68¢ (new equilibrium)
#What Drives Price Changes
Information events:
- News releases
- Polls and surveys
- Expert statements
- Related market movements
- Leaked information
- Social media trends
Trading dynamics:
- Large orders (supply/demand shocks)
- Market maker adjustments
- Liquidity changes
- Cross-market arbitrage
- Momentum trading
Sentiment shifts:
- Fear/greed cycles
- Narrative changes
- Herding behavior
- Contrarian pushback
#Trading Strategies During Open
#Long-Term Hold
Strategy: Buy early, hold until close
Approach: Enter position and wait
Best for: High conviction, patient traders
Risk: Tied-up capital, opportunity cost
Example: Buy at 40¢, hold until resolves YES
#Swing Trading
Strategy: Buy low, sell high, repeat
Approach: Trade price fluctuations
Best for: Active traders, volatile markets
Risk: Wrong-way moves, fees accumulate
Example: Buy at 55¢, sell at 65¢, buy again at 58¢
#News Trading
Strategy: React quickly to new information
Approach: Fast execution on breaking news
Best for: Alert traders with fast execution
Risk: False signals, already priced-in
Example: Poll drops, buy within 30 seconds
#Arbitrage
Strategy: Exploit price differences
Approach: Buy underpriced, sell overpriced
Best for: Sophisticated traders, multiple markets
Risk: Execution risk, fees, timing
Example: Buy at 60¢ on Platform A, sell at 62¢ on Platform B
#Market Making
Strategy: Provide liquidity on both sides
Approach: Earn bid-ask spread
Best for: Capital-rich, low-risk tolerance
Risk: Adverse selection, inventory risk
Example: Bid 59¢, Ask 61¢, earn 2¢ spread
#Open Market Best Practices
#For Traders
✅ Start small: Don't go all-in immediately ✅ Monitor actively: Prices change based on news ✅ Use limit orders: Control execution price ✅ Set stops: Protect against large losses ✅ Scale in/out: Average prices, reduce risk ✅ Stay informed: Follow relevant news sources ✅ Review regularly: Reassess positions as new info arrives
#Common Mistakes
❌ FOMO trading: Chasing price moves after they've happened ❌ Ignoring fees: Death by a thousand trades ❌ Over-trading: Too many position changes ❌ Emotional trading: Panic selling or greed buying ❌ Ignoring news: Not staying informed ❌ Position too large: Over-concentrated risk
#Open State Indicators
Visual signals:
- 🟢 Green "OPEN" or "TRADING" badge
- Live price ticker (updating in real-time)
- Order entry buttons enabled
- Volume chart showing activity
- Time until close countdown
- Active trade feed/recent trades
Example UI:
┌───────────────────────────────────────┐
│ 🟢 OPEN - Trading Active │
│ │
│ Will Bitcoin reach $100k in 2025? │
│ │
│ Current Price: 65¢ │
│ 24h Change: +5¢ (↑) │
│ Volume: $12,450 │
│ Closes in: 45 days 6 hours │
│ │
│ [BUY YES 65¢] [SELL YES 63¢] │
│ [BUY NO 35¢] [SELL NO 37¢] │
└───────────────────────────────────────┘
#Transition to Closed
#Scheduled Close
Most common: Closes at predetermined time
Market: "Will Fed raise rates at Dec meeting?"
Opens: Nov 1
Closes: Dec 13, 2:00 PM (meeting time)
11:59 AM: OPEN (still trading)
2:00 PM: CLOSED (trading stops instantly)
Process:
- System checks timestamp
- At exact close time, trading disabled
- All pending orders canceled
- Positions frozen
- State changes to "Closed"
- Users notified
#Event-Triggered Close
Some markets close when event occurs:
Market: "Will Bitcoin hit $100k?"
Opens: Jan 1
Closes: When BTC ≥ $100k OR Dec 31 (whichever first)
Scenario 1: BTC hits $100k on June 15
→ Market closes immediately on June 15
→ Resolves YES
Scenario 2: BTC never hits $100k, Dec 31 arrives
→ Market closes on Dec 31
→ Resolves NO
#Manual Close
Rare: Platform closes early
Reasons:
- Critical rule error discovered
- Manipulation suspected
- Force majeure
- Platform discretion
Action:
→ Trading halted immediately
→ May void market (refund all)
→ Or proceed to resolution
#Open vs. Other States
| Aspect | Unopened | Open | Closed |
|---|---|---|---|
| Trading | ❌ | ✅ | ❌ |
| Duration | Hours-weeks | Hours-months | Minutes-weeks |
| Purpose | Preparation | Active trading | Awaiting outcome |
| Price | None | Dynamic | Frozen |
| Information | Gathering | Aggregating | Complete |
| Outcome | Unknown | Unknown | Pending |
#Platform Differences
#Kalshi
- Clear schedules: Markets open/close at specified times
- Professional liquidity: Market makers active
- Regulated hours: May have trading hour restrictions
- High reliability: Open state is stable and predictable
#Polymarket
- 24/7 trading: Open markets trade around the clock
- Crypto-native: Trades execute on blockchain
- Variable liquidity: Depends on market popularity
- Gas costs: Small fee per trade (Polygon network)
#Manifold Markets
- Always accessible: Play money = always open
- Creator control: Creator can close anytime
- Flexible rules: Less structured than regulated platforms
- Instant execution: No blockchain delays
#Advanced Open State Concepts
#Pre-Close Squeeze
As close approaches:
- Wrong-side traders capitulate
- Right-side traders take profits
- Price accelerates toward outcome
- Volume spikes
- Opportunity for informed contrarians
#Information Cascades
When traders follow each other:
- Large move triggers more moves
- Price can overshoot
- Creates temporary mispricing
- Skilled traders exploit overcorrections
#Liquidity Cycles
Pattern through open period:
- Low liquidity early (finding participants)
- Building liquidity mid-period
- Peak liquidity near close (urgency)
- Sudden drop at close (trading stops)
#Why Open State Matters
Open is where prediction markets deliver value:
✅ Information aggregation: Crowdsourcing predictions ✅ Price discovery: Finding fair probability ✅ Risk transfer: Hedging and speculation ✅ Signaling: Revealing collective beliefs ✅ Incentive alignment: Rewarding accuracy
Without the open state, markets are just surveys. Open state is where markets become markets - dynamic, responsive, and information-efficient.
The open state is the main event. Everything else is setup (unopened) or cleanup (closed/resolved/settled).