DeFi Risk Simulation Methodology

DeFiRiskSim is not designed to predict the future.

It is designed to answer a more useful question: “What could happen to this strategy if the market moves against me?”

Every result in the app is based on user inputs, available market data and structured assumptions. The simulator helps you compare possible outcomes before you deposit liquidity, borrow against collateral, build a leverage loop, test a restaking strategy or size a hedge.

The numbers should be treated as scenario analysis, not financial advice and not a guarantee of future returns.

How the simulator uses assumptions

Most DeFi mistakes happen because investors look only at expected yield and ignore the assumptions behind it.

DeFiRiskSim separates the visible return from the hidden risk. For each strategy, the app asks for or estimates the variables that matter: asset prices, ranges, fees, loan size, collateral value, borrowing costs, funding rates, depeg scenarios and liquidation thresholds.

When one of those assumptions changes, the simulation changes too. That is the point. The app is meant to show sensitivity, not certainty.

Impermanent loss and LP range modeling

For concentrated liquidity positions, the simulator focuses on the relationship between price range, token allocation, fee assumptions and impermanent loss.

A wider range may keep the position active for longer, but it usually spreads capital across more price levels. A narrower range may improve capital efficiency, but it can also go out of range faster.

DeFiRiskSim helps users compare those trade-offs before choosing a range. The model estimates how the position may behave if the token price moves inside, near or outside the selected range.

Borrowing, health factor and liquidation risk

For borrowing strategies, the most important question is usually simple: “How far can the market move before this position becomes dangerous?”

The borrowing model estimates collateral value, debt size, loan-to-value, liquidation price and health factor based on selected assumptions. This helps users see whether a position has a comfortable safety margin or is too close to liquidation.

The model is especially useful for investors who want to borrow stablecoins against crypto without selling their long-term holdings.

Leverage loop modeling

A leverage loop repeats the same basic action: deposit collateral, borrow against it, deposit again, and borrow again.

That can increase exposure and potential yield, but it also increases debt and reduces the margin for error. A small market move can have a larger effect on a looped position than on a simple deposit.

DeFiRiskSim models the loop step by step so users can see effective leverage, total borrowed amount, estimated net APY and liquidation sensitivity before trying the strategy in a real protocol.

Liquid restaking scenario analysis

Liquid restaking strategies often look attractive because they combine staking yield, restaking rewards and sometimes borrowing or looping.

The risk is that several things can go wrong at once. A liquid restaking token may trade below its expected value. Borrowing costs may rise. Rewards may change. Collateral rules may become less favorable.

The restaking model is built to test those uncomfortable scenarios. It helps users see what happens if the yield is lower than expected, if the asset depegs, or if a leveraged restaking position becomes too exposed.

Delta-neutral and hedge calculations

A delta-neutral strategy tries to reduce exposure to price direction. In simple terms, an investor may hold a spot asset and open a short position to offset part of the market risk.

The simulator estimates hedge size, funding assumptions and short-side liquidation risk. It does not decide whether a hedge is “good” or “bad.” It shows the trade-off so the user can decide whether the structure makes sense.

What the simulator does not know

No simulator can know the future.

DeFiRiskSim does not know tomorrow’s token price, future protocol changes, hidden smart contract bugs, oracle failures, liquidity shocks, governance decisions or exchange outages.

That is why every output should be treated as an estimate. A good simulation does not remove risk. It helps you see risk earlier.

Why this matters for retail DeFi investors

Most retail investors do not have a risk desk, a quant team or custom internal tools. They usually make decisions with a wallet, a chart, a protocol interface and a rough APY number.

DeFiRiskSim gives smaller investors a more structured way to think before acting. It turns a strategy into numbers, assumptions and stress scenarios that can be reviewed before capital is committed.