Start with the question.
Then choose the math.

See what entering on a past date would have produced, stated against the observations the series carries.

Score a token on liquidity, lock state and contract control — unobserved signals are named, not assumed.

Compare observed side-specific volume where available and label fallback estimates clearly.

Assess concentration, executable exit depth and whale-driven downside risk.

Compare observed contract, execution and liquidity-control signals without a fabricated safety score.

Inspect pool-specific LP locks, burns, expiry dates and unclassified coverage without a safety score.

Select an eligible top holder and simulate its sale against one observed AMM pool.

Model pool-level price movement, required inflow and market-cap scenarios without treating market cap as cash.

Calculate supply and market-cap effects while keeping burn mechanics separate from token purchases.

Run a shock through an order book and leveraged positions, and see what forced selling does to the next sale.

Simulate reserve changes and price impact using constant-product pool mathematics.

Combine impermanent loss, earned fees and position value into one comparable net return.

Estimate AMM price impact, protocol fee, gas and minimum received before a swap.

Measure the value exposed inside a swap's slippage envelope without claiming an observed or predicted attack.

Separate stablecoin price loss, constant-product LP rebalancing and impermanent loss under depeg scenarios.

Stress-test tradable depth and execution after a chosen share of liquidity disappears.

Value your saved positions, see the 24h move and unrealized profit against your entry prices.

Compare scheduled purchases with one initial purchase over the same observed price history.

Compare observed network fee tiers for a concrete transaction type without predicting confirmation.

Stress-test observed DeFi pool APY after reward price changes, principal movement, fees and transaction costs.

Plan entries, exits, fees and position returns with transparent assumptions.

Compare established rule-based entry and exit scenarios using executable AMM results.

Relate unlock supply to volume, liquidity depth and plausible sell-pressure scenarios.

Compare fragmented pools and estimate whether rebalancing survives fees and execution costs.

Size a position from a fixed portfolio-risk budget, with fee-inclusive max loss and R:R.