This guide explains how to input supply and quote assumptions, interpret buy-impact tables, compare SOL versus stablecoin quotes, and translate simulation insights into Create Liquidity Pool deposit decisions.
Liquidity Simulator on IDX models constant-product AMM behavior for Solana pool planning — adjust token supply, initial SOL/USDC/USDT depth, and simulated buy sizes to preview price impact before live deployment.
Use Liquidity Simulator before Create Liquidity Pool when you need to estimate how much quote liquidity prevents unacceptable slippage on launch-day buy sizes.
Liquidity Simulator exists because founders often discover slippage problems only after depositing treasury funds into a live Raydium pool. By modeling constant-product reserves upfront, you see how a five, ten, or twenty percent buy against your token side consumes quote liquidity and shifts price. That preview helps you right-size SOL or stablecoin deposits, set honest community expectations, and avoid launch-day surprises when DexScreener traffic arrives.
The simulator shows quote spend, tokens received, new pool price, and percentage price change for each buy scenario. Large price jumps on modest buys signal underfunded pools. Compare multiple quote depths side by side — sometimes doubling SOL liquidity dramatically flattens impact curves. Pay attention to USD displays when modeling USDC or USDT quotes so treasury planning stays denominated in familiar terms.
SOL pairs dominate meme and native Solana launches; stablecoin quotes help teams who want price displayed in USD terms on aggregators. The simulator's per-quote configuration reflects different min/max ranges and decimal formatting. Choose the quote asset you plan to use in Create Liquidity Pool so simulation maps directly to deployment — switching quote assets after simulation requires rerunning scenarios.
Treat simulator output as a decision input, not a guarantee. After you pick deposit sizes, Create Liquidity Pool adds duplicate detection, blacklist validation, Raydium fees, and wallet-signed execution. Re-read price impact warnings at confirmation time because market conditions and fee tiers may differ slightly from the model. Document chosen parameters in your launch runbook alongside pool address and volume bot settings.
Four input groups drive simulation output: supply allocation, quote depth, buy sizing, and quote asset selection. Adjusting each group shows how AMM math responds before you deploy capital.
Supply and pool allocation
Set total token supply and how many tokens you plan to deposit in the pool. Allocation defines the token-side reserve (A) in the constant-product formula.
Quote liquidity depth
Enter initial SOL, USDC, or USDT on the quote side (B). Depth directly controls how much quote a buyer must spend for a given token purchase percentage.
Buy scenario sizing
Simulate buys as a fraction of the token reserve removed from the pool. Output shows spend, received tokens, new price, and percentage price change.
Quote asset comparison
Switch between SOL, USDC, and USDT to compare how quote denomination affects displayed prices and USD estimates before you pick a live pair.
Step 1
Open Liquidity Simulator from the pool creator section and set your total token supply and planned pool token allocation.
Step 2
Choose a quote asset — SOL, USDC, or USDT — and enter initial quote liquidity within the simulator range.
Step 3
Adjust simulated buy size as a percentage of the token reserve to see quote spend, tokens received, and price change.
Step 4
Compare scenarios across different quote depths and buy percentages to find acceptable slippage for your launch narrative.
Step 5
Apply the chosen base and quote amounts in Create Liquidity Pool and re-verify live price impact at deployment time.
What does the Solana Liquidity Simulator calculate?
The simulator uses constant-product AMM math (x*y=k) to model how much SOL, USDC, or USDT a buyer spends to acquire a percentage of the token side of a hypothetical pool, and how much price moves after that trade.
Does simulation guarantee live pool outcomes?
No. Simulations improve planning but live markets add fees, routing, MEV, concurrent trades, and external liquidity flows that models omit. Always re-check validation output when you create the real pool.
Which quote assets can I model?
You can simulate SOL, USDC, and USDT quote sides with per-asset min/max ranges and USD conversion displays. SOL USD reference price updates when live price feeds are available.
How should I use simulator output for launch planning?
Identify the minimum quote depth where a typical community buy (expressed as percent of pool tokens) produces acceptable price impact. If only large buys look reasonable, increase planned liquidity or adjust launch expectations.
Can I simulate Token-2022 or meme supply extremes?
The simulator accepts supply and allocation inputs across a wide range so teams with billion-token supplies or low-float launches can explore extremes. Validate final parameters against IDX pool creator limits before signing.
How does the simulator connect to Create Liquidity Pool?
Use simulation to pick base and quote deposit sizes, then enter those amounts in Create Liquidity Pool. The live tool adds duplicate checks, fee estimates, and on-chain validation that simulation does not replace.
Should I simulate before or after OpenBook market creation?
Simulate CPMM depth before Raydium pool creation regardless of OpenBook timing. Orderbook markets and CPMM pools serve different routing layers — model AMM depth for swap execution quality on your primary pool.
Use these IDX tools together to launch and manage your token.
