MoonMath / Tool Index
Start with the question.
Then choose the math.
A transparent workbench for token, pool and position decisions. Every tool declares what is measured and what is modeled.
- Available
- 05
- Planned
- 06
- Methods
- 04
01 / Read the market
Analyze
Inspect live market structure, flow and risk signals before acting.
Is buying or selling dominating?
Compare observed side-specific volume where available and label fallback estimates clearly.
Data basis
How dangerous is the holder distribution?
Assess concentration, executable exit depth and whale-driven downside risk.
Data basis
02 / Test a scenario
Simulate
Change one assumption at a time and see the mathematical consequence.
What would it take to reach a target?
Model pool-level price movement, required inflow and market-cap scenarios without treating market cap as cash.
Data basis
What changes when supply is burned?
Calculate supply and market-cap effects while keeping burn mechanics separate from token purchases.
Data basis
03 / Understand the pool
LP & Liquidity
Model execution, liquidity-provider returns and pool-level stress.
How does changing liquidity affect the pool?
Simulate reserve changes and price impact using constant-product pool mathematics.
Data basis
Did providing liquidity outperform holding?
Combine impermanent loss, earned fees and position value into one comparable net return.
Data basis
What will this swap really cost?
Estimate AMM price impact, protocol fee, gas and minimum received before a swap.
Data basis
What happens if liquidity is pulled?
Stress-test tradable depth and execution after a chosen share of liquidity disappears.
Data basis
04 / Prepare a position
Plan
Estimate costs, returns and token events before committing capital.
What is my net return after costs?
Plan entries, exits, fees and position returns with transparent assumptions.
Data basis
Can the market absorb an unlock?
Relate unlock supply to volume, liquidity depth and plausible sell-pressure scenarios.
Data basis
Is a cross-pool price gap executable?
Compare fragmented pools and estimate whether rebalancing survives fees and execution costs.
Data basis