Seven-Day Launch Period
Participating in token launches is extremely high risk. During the buy-only period, you cannot sell for 7 days. Token prices can decline significantly when selling is enabled on Day 7. Only participate if you understand and accept these risks. This is not investment advice - see Investor Guide for full disclosures.
Every new Hokusai model token begins with a seven-day bonding round where buying is enabled but selling is disabled. This launch period establishes initial price discovery, prevents manipulation, and allows early supporters to accumulate positions before full trading begins.
Overview
The seven-day launch period is a buy-only window designed to:
- ✅ Establish initial USDC reserves
- ✅ Enable fair price discovery
- ✅ Prevent front-running and manipulation
- ✅ Reward early model supporters
- ✅ Build initial liquidity foundation
Timeline
Visual Timeline:
Day 0 Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8+
│ │ │ │ │ │ │ │ │
└─────── BUY ONLY (Selling Disabled) ────────────────────────┘ ← Sell Enabled
▲ ▲
│ │
Deploy Full Trading
AMM Begins
Key Dates
| Event | Timestamp | Actions Available |
|---|---|---|
| Deployment | block.timestamp at deploy | None yet |
| Buy-Only Starts | Immediately after deploy | Buy tokens only |
| Day 1-6 | deployTime + 1-6 days | Continue buying |
| Day 7 | deployTime + 7 days | Buy & sell enabled |
| Post-Launch | deployTime + 7+ days | Full trading |
Why Buy-Only?
Problem: Launch Manipulation
Without a buy-only period, early traders could:
- Front-run the launch: Buy instantly at low price
- Dump immediately: Sell before others can react
- Extract value: Take profits from later buyers
- Discourage participation: Create fear of manipulation
Solution: Buy-Only Window
A seven-day buy-only period:
Without Buy-Only:
[Launch] → Manipulator buys → Price spikes → Manipulator sells → Price crashes → Fear
With Buy-Only:
[Launch] → Everyone can buy for 7 days → No selling pressure → Fair accumulation → Healthy launch
How It Works
Smart Contract Implementation
The HokusaiAMM contract stores a buyOnlyUntil timestamp:
contract HokusaiAMM {
// Set at deployment
uint256 public immutable buyOnlyUntil;
constructor() {
// 7 days = 604,800 seconds
buyOnlyUntil = block.timestamp + 7 days;
}
function sell(...) external {
require(block.timestamp > buyOnlyUntil, "Selling not allowed during bonding round");
// ... sell logic
}
}
Checking Status
To check if the bonding round is active:
const amm = await ethers.getContractAt("HokusaiAMM", ammAddress);
// Method 1: Check timestamp directly
const buyOnlyUntil = await amm.buyOnlyUntil();
const now = Math.floor(Date.now() / 1000);
const isBuyOnly = now < buyOnlyUntil;
// Method 2: Use helper function
const isBuyOnly = await amm.isBuyOnlyPeriod();
if (isBuyOnly) {
console.log("Still in bonding round - buys only");
const timeRemaining = buyOnlyUntil - now;
const daysRemaining = timeRemaining / (24 * 60 * 60);
console.log(`${daysRemaining.toFixed(1)} days until full trading`);
} else {
console.log("Full trading enabled");
}
Price Dynamics During Launch
Initial State
When the AMM is deployed:
Reserve (R): Initial seed amount (e.g., 10,000 USDC)
Supply (S): Initial minted tokens (e.g., 1,000,000 tokens)
CRR (w): Set at deployment (e.g., 0.2 = 20%)
Spot Price: P = R / (w × S) = 10,000 / (0.2 × 1,000,000) = 0.05 USDC
Price Progression
As buyers purchase during the bonding round:
Day 0-1 (Early adopters):
R = 10,000 → 50,000 USDC (+40,000 from buys)
S = 1,000,000 → 1,400,000 tokens (+400,000 minted)
Price = 50,000 / (0.2 × 1,400,000) ≈ 0.179 USDC
Growth: +258%
Day 2-4 (Growing interest):
R = 50,000 → 150,000 USDC (+100,000 from buys)
S = 1,400,000 → 2,200,000 tokens (+800,000 minted)
Price = 150,000 / (0.2 × 2,200,000) ≈ 0.341 USDC
Growth: +90%
Day 5-7 (Anticipation of full trading):
R = 150,000 → 250,000 USDC (+100,000 from buys)
S = 2,200,000 → 2,800,000 tokens (+600,000 minted)
Price = 250,000 / (0.2 × 2,800,000) ≈ 0.446 USDC
Growth: +31%
Post-Launch Day 7+:
Selling enabled → Some take profits → Price stabilizes
First sell: Someone sells 100,000 tokens
New equilibrium based on buy/sell pressure
Visualization
Price
↑
| Full Trading →
| ╱
0.45 | ╱
| ╱
0.34 | ╱
| ╱
0.18 | ╱
| ╱
0.05 |___╱
| |------------------|-------→
Day 0 Day 7 Time
Deploy Launch
(Buy-Only)
Participation Strategy
For Early Investors
Advantages of buying early:
- ✅ Lower initial prices
- ✅ First-mover advantage
- ✅ No selling pressure
- ✅ Support promising models
Risks to consider:
- ⚠️ Can't exit for 7 days
- ⚠️ Price may drop post-launch
- ⚠️ Model may underperform
- ⚠️ Initial liquidity is thin
Recommended approach:
1. Research the model thoroughly
- Review performance metrics
- Assess team and roadmap
- Check initial token distribution
2. Start with small buys
- Test the AMM mechanics
- Observe price movement
- Gauge community interest
3. Dollar-cost average
- Buy across Days 0-6
- Don't deploy all capital Day 0
- Adjust based on momentum
4. Plan your exit
- Decide holding period
- Set price targets
- Consider post-launch volatility
For Model Developers
Pre-launch checklist:
☐ Seed initial USDC reserve (optional)
☐ Mint initial token supply
☐ Set appropriate CRR (w)
☐ Configure trade and protocol fees
☐ Deploy AMM contract
☐ Grant FEE_DEPOSITOR_ROLE to UsageFeeRouter
☐ Announce launch to community
☐ Publish model performance metrics
☐ Provide clear documentation
During launch (Days 0-6):
☐ Monitor buy activity
☐ Communicate with early supporters
☐ Share updates on model development
☐ Provide transparency on token distribution
☐ Prepare for Day 7 launch
Post-launch (Day 7+):
☐ Monitor initial sell pressure
☐ Ensure API fees flow to reserve
☐ Continue model improvements
☐ Maintain community engagement
Common Scenarios
Scenario 1: Successful Launch
Characteristics:
- Strong early buying (Days 0-2)
- Steady accumulation (Days 3-5)
- Anticipation builds (Days 6-7)
- Minimal selling post-launch
- Price stabilizes or continues growth
Example:
Day 0: $10k reserve → $50k (+400% price)
Day 3: $50k → $150k (+140% price)
Day 7: $150k → $300k (+100% price)
Day 10: $300k → $350k (+17% price, post-launch)
Outcome: Healthy model with engaged community
Scenario 2: Moderate Launch
Characteristics:
- Gradual buying throughout 7 days
- Steady but not explosive growth
- Some selling post-launch
- Price consolidates
Example:
Day 0: $10k reserve → $30k (+200% price)
Day 3: $30k → $60k (+100% price)
Day 7: $60k → $100k (+67% price)
Day 10: $100k → $90k (-10% price, profit-taking)
Outcome: Stable model, potential for growth
Scenario 3: Weak Launch
Characteristics:
- Minimal buying activity
- Little price movement
- Significant selling post-launch
- Price declines
Example:
Day 0: $10k reserve → $15k (+50% price)
Day 3: $15k → $20k (+33% price)
Day 7: $20k → $25k (+25% price)
Day 10: $25k → $15k (-40% price, heavy selling)
Outcome: Model struggles, may recover with improvements
Post-Launch Dynamics
Day 7: The Inflection Point
When the buy-only period ends at exactly buyOnlyUntil timestamp:
// At block.timestamp > buyOnlyUntil
function sell(...) external {
require(block.timestamp > buyOnlyUntil, "Selling not allowed");
// Now selling is enabled
}
What typically happens:
- Profit-taking begins: Early buyers may sell
- Price volatility increases: Both buy and sell pressure
- True price discovery: Market finds equilibrium
- Liquidity deepens: More trading activity
First Week Post-Launch
Typical pattern:
Day 7: Selling enabled → Initial profit-taking → Price may dip
Day 8-10: Volatility peaks → High trading volume → Price fluctuates
Day 11-14: Stabilization → Trading normalizes → Price finds floor
Week 3+: New equilibrium → Steady state based on fundamentals
Long-Term Price Factors
After the launch period, token price depends on:
Fundamental Factors:
- ✅ Model performance and improvements
- ✅ API usage and fee deposits
- ✅ Token minting from performance rewards
- ✅ Community growth and engagement
Market Factors:
- 📊 Buy/sell pressure ratio
- 📊 Reserve balance growth
- 📊 Supply inflation rate
- 📊 Overall market conditions
Investor Considerations
Due Diligence
Before participating in a launch:
Evaluate the Model:
☐ Review model performance metrics
☐ Check benchmark comparisons
☐ Assess improvement trajectory
☐ Verify team credentials
☐ Read technical documentation
Analyze Tokenomics:
☐ Initial supply and distribution
☐ CRR setting (higher = more stable)
☐ Trade and protocol fees
☐ Expected API usage and revenue
☐ Minting schedule for rewards
Assess Risks:
☐ 7-day lockup (can't sell)
☐ Post-launch volatility
☐ Model underperformance risk
☐ Low liquidity risk
☐ Smart contract risk
Position Sizing
Conservative approach:
- Allocate 1-5% of crypto portfolio
- Buy across multiple days
- Plan to hold 30-90 days minimum
- Set stop-loss at -50%
Aggressive approach:
- Allocate 5-15% of crypto portfolio
- Front-load buying Day 0-1
- Plan to hold 7-30 days
- Take profits at +100-300%
Exit Strategy
Scenario planning:
If price increases 2x during bonding:
Option A: Sell 50% at Day 7, hold rest
Option B: Hold all, sell gradually over weeks
Option C: Sell all Day 7, lock profits
If price increases less than 50% during bonding:
Option A: Hold through Day 7, assess
Option B: Sell portion to break even
Option C: Hold longer, wait for fundamentals
If price stable during bonding:
Option A: Hold, wait for API fees
Option B: Sell if no growth by Day 10
Option C: Average down if believe in model
FAQ
Q: Can I sell before Day 7?
No. The sell() function will revert with "Selling not allowed during bonding round" error. You must wait until exactly buyOnlyUntil timestamp passes.
Q: What happens at exactly Day 7?
At the moment block.timestamp > buyOnlyUntil, selling becomes enabled. Anyone can call sell() and trade tokens for USDC.
Q: Can I buy after Day 7?
Yes! Buying is always enabled, both during and after the bonding round. Only selling is restricted for the first 7 days.
Q: Who sets the initial price?
The initial price is determined by:
P = Initial_Reserve / (CRR × Initial_Supply)
Model developers set these parameters at deployment.
Q: Can the bonding period be extended?
No. The buyOnlyUntil timestamp is immutable (set at deploy time and cannot be changed).