Tokenomics
Instead of forcing tokens into a fixed template, FOREST allows creators to configure supply, fees, curves, buybacks, and distribution logic in a modular way. This section explains how each component works and how they interact to form a complete economic system.
1. Supply Model
FOREST does not enforce a fixed maximum supply.
Tokens use an elastic supply model shaped by user actions:
Tokens mint when users buy
Tokens burn or return to the pool when users sell
Staking, rewards, and airdrops draw from the defined allocation pools
Circulating Supply updates in real time based on:
tokens bought
tokens sold
tokens staked
tokens burned
tokens claimed from airdrops
This gives creators flexibility while ensuring users can always track supply transparently.
2. Allocation Splits
Creators define how the token’s initial distribution is split across four main pools:
Liquidity
Tokens paired with $FOREST to open trading and price discovery
Reserve
Project-owned supply for future use (team, marketing, ecosystem growth)
Staking
Tokens rewarded to participants staking into the ecosystem
Airdrop
Tokens distributed to early users, campaigns, quests, referrals
These percentages always equal 100%.
Example:
Liquidity: 40%
Reserve: 30%
Staking: 20%
Airdrop: 10%
How Splits Work in Practice
Liquidity is locked into the pool at publish.
Reserve tokens remain in the project’s control.
Staking rewards release over time based on staking behaviour.
Airdrop pools are consumed by claim modules or campaign events.
3. Fees
Fees create the economic engine that powers each token.
Creators configure:
Buy Fee: 0–100%
Sell Fee: 0–100%
Fees can be routed to:
creator treasury
protocol
buybacks
other configured destinations (depending on template)
Example Fee Routing
Buy Fee (5%)
2% → Creator Treasury
2% → Protocol
1% → Buybacks
Sell Fee (7%)
3% → Protocol
4% → Buybacks
Fees influence:
sustainability
token liquidity
long-term incentives
market behaviour
High buy fees can discourage rapid entry. High sell fees can discourage dumping. Balanced fees stabilise the ecosystem.
4. Buybacks
Buybacks convert a % of collected fees or app revenue into automatic purchases of the token.
Buyback % can be configured from 0–100%.
Buybacks can operate in two modes:
A. Buy and Hold
Purchased tokens move into a designated treasury or module.
B. Buy and Burn
Purchased tokens are permanently removed from supply. Burning reduces circulating supply and increases scarcity.
5. Bonding Curves (Price Discovery Stage)
New tokens in FOREST begin in a curve-based environment where price is determined by a bonding-curve function chosen by the creator:
Straight, predictable price progression.
Price accelerates aggressively as supply expands.
Price rises sharply early, then stabilises.
What Curves Do
Curves handle early-stage price discovery. They allow tokens to:
raise liquidity gradually
react to demand
build a market before entering continuous trading

6. Graduation Threshold
How the Threshold Works
The threshold is displayed in $FOREST equivalent, with a progress bar visible on the token page.
Graduation Threshold: 80,000 $FOREST Current Liquidity: 52,400 $FOREST Progress: 65%
Reaching the threshold triggers:
migration from curve pricing
activation of constant-product liquidity
entry into open trading conditions
Why Thresholds Exist
Thresholds ensure tokens graduate only when structurally ready.
They prevent premature migration
They ensure price stability before entering open liquidity
They help creators plan for distribution phases
The Graduation Threshold acts as a safeguard: creators maintain control, markets remain stable, and the transition into open liquidity is predictable.
7. Post-Graduation Mechanics (AMM Mode)
The Core Formula
Pricing uses a constant-product function:
8. Full Token Lifecycle Diagram
Lifecycle Overview
The token moves through a series of defined states. Each state activates new mechanics while preserving the logic set by the creator.
Creator Config The creator defines all foundational mechanics.
Bonding Curve Launch Early trading builds liquidity and price discovery.
Graduation Threshold Hit A milestone that triggers progression into full liquidity.
AMM Liquidity Mode Advanced token features activate and market dynamics expand.
Long-term Ecosystem Mechanics The token reaches its mature phase and operates as part of a broader ecosystem.
1. Creator Config
This is the starting point. All parameters, mechanics, curves, fees, and logic are defined here.
↓
2. Bonding Curve Launch
The token begins trading on its bonding curve. Liquidity expands automatically as trading occurs.
↓
3. Graduation Threshold Hit
Once the graduation threshold is reached, the system transitions from bonding curve mode into open liquidity.
↓
4. AMM Liquidity Mode
The token now trades in AMM liquidity. Active systems begin operating:
fees
buybacks
staking
airdrops
↓
5. Long-term Ecosystem Mechanics
Sustained behaviour, rewards, supply logic, and ongoing token utilities evolve here.
The lifecycle ensures that a FOREST token evolves from a creator-defined concept into a fully autonomous economy with ongoing mechanics.
9. Example Tokenomics Profile (Simple)
Core Parameters
Supply: Elastic
Liquidity Split: 40% Reserve: 30% Staking Pool: 20% Airdrop Pool: 10%
Buy Fee: 3% Sell Fee: 5% Buyback: 40% of fees
Curve: Linear Graduation: 75,000 $FOREST
This profile represents a straightforward, creator-friendly setup that balances liquidity, staking incentives, and long-term progression.
10. Example Tokenomics Profile (Advanced)
Core Structure
Supply: Elastic + burn-enabled
Liquidity Split: 55% Reserve: 20% Staking: 15% Airdrop: 10%
Buy Fee: 4% Sell Fee: 6%
Buyback: 60% of all fees (burn) App Revenue: 10% routed into buybacks
Curve: Exponential Graduation: 120,000 $FOREST
Incentive Systems
Staking: dynamic emissions
Airdrops: SEED-based claim system
This profile combines elastic supply, burn mechanics, exponential growth curves, and multi-channel incentives into a unified advanced economy.
11. How All Elements Interact
Core Flow
User Buys →
Minting
Curve price ↑
Liquidity ↑
Fees generated
As a result:
Buybacks trigger
Treasury increases
Staking pools fill
Progress bar moves toward graduation
User Sells →
Burning or pool return
Curve price ↓
Fees generated
As a result:
Buybacks trigger
Sell pressure absorbed
The Closed-Loop Effect
Every action reinforces the system. Nothing is isolated. Everything feeds back into the token's lifecycle.
This creates closed-loop economics where:
trading activity funds rewards
liquidity increases stability
buybacks support the token
fees sustain the ecosystem
The more users interact, the stronger and more self-sustaining the token economy becomes.
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