Pricing & Trading
Pricing & Trading
1. Curve Phase (Price Discovery)
Every token starts with a bonding curve. This phase sets the early price, determines the market’s initial demand, and grows the liquidity base.
Why a curve?
Prevents instant sniper volatility
Gives creators a controlled launch environment
Enables organic price discovery
Lets early participants influence the starting economy
A predictable early market where supply, demand and progression are visible and fair.
Types of curves
A creator chooses one curve type during setup:
Linear - steady, predictable progression
Exponential - faster early acceleration
Logarithmic - fast initial jump, slower expansion later
Each curve creates a different market personality. The shape is transparent, and buyers can see how price responds to activity.
What happens during the curve phase
During this phase, users interact directly with the curve itself.
Users buy directly against the curve
Liquidity accumulates in $FOREST
Price increases as demand increases
The protocol tracks progress toward the next phase: graduation
2. Graduation (Automatic Transition)
Graduation is the turning point where a token moves from curve-based pricing to long-term liquidity trading.
How graduation works
Each token has a liquidity threshold defined during creation. Once the token reaches that threshold through trading activity, it automatically transitions into the next stage.
What graduation achieves
Converts the token from a closed curve to an open liquidity pool
Locks in the liquidity accumulated during the curve
Establishes the foundation for stable, long-term trading
Marks the token as ready for broader market activity
When graduation triggers:
The token’s status updates in the UI
Pricing switches to the AMM model
Trading becomes more flexible with standard swap interactions
3. Liquidity Phase (AMM Trading)
After graduation, the token trades using a constant-product liquidity pool, the same model used by leading automated market makers.
What this means
Price is determined by the balance of the two assets in the pool
Larger trades cause slippage in a predictable way
Fees and buybacks continue to influence supply and behaviour
Liquidity becomes the foundation for long-term stability
Why this matters
Curve pricing is ideal for bootstrapping. AMM pricing is ideal for scaling.
FOREST merges both seamlessly so tokens launch smoothly and then mature into robust, open markets.
4. How Users Trade
Buyers enter by selecting how many tokens they want
The system calculates the required $FOREST amount
Price updates instantly based on the curve shape
Trading becomes a standard swap
Users can buy or sell any amount depending on pool depth
Fees, buybacks and rewards continue to operate as configured
FOREST’s trading flow is designed to feel simple on the surface while giving creators deep control over underlying mechanics.
5. Effects of Trading on Token Behaviour
Liquidity growth
Each trade strengthens the pool, making the token more resilient.
Buybacks
If enabled, a portion of volume automatically feeds buy pressure back into the token.
Fee routing
Fees can direct value to:
the creator
the protocol
the token’s own economy
Market signals
Trading activity gives communities visible indicators:
liquidity depth
volume trends
price movement
supply impact
These signals shape how a token evolves after launch.
Core Principles
FOREST’s pricing and trading structure is built around three simple principles:
Launch smoothly – curves create controlled early markets
Scale predictably – graduation converts early momentum into real liquidity
Trade sustainably – AMM pools support long-term growth and user activity
Together, these stages create a lifecycle where tokens can start small, grow naturally, and evolve into stable, tradable ecosystems.
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