Model financial exposure
before capital moves
Evaluate financial risks, validate strategies, and stress-test market scenarios against live blockchain conditions before committing capital.
Move capital on the blockchain with confidence
Model financial decisions against dynamic production environments before they become final. Validate financial strategies, parameter changes, and large allocations against current oracle prices, real liquidity, and live position books, with fully documented audit trails.
Surface risk for every financial decision
Run any scenario, including market crashes, depegs, and first-order liquidations, to evaluate potential risk and exposure across your positions.
Keep strategies private until execution
Test exposure, model intent, and validate strategies without exposing them to the public, in private virtual environments that mirror exact production conditions.
Document every decision with a verifiable record
Keep a verifiable record of every financial decision with fully documented transaction hashes and auditable environments to meet compliance requirements.
Model any type of financial risk across protocols and chains
Evaluate financial exposure and surface potential risks by validating strategies, running liquidation analyses, and stress-testing allocations against the live state of your production systems.
Stress-test allocations against any market scenario
Apply price drops, oracle deviations, liquidity drains, and adverse market conditions to your live position book. Stress-test allocations across protocols and chains to evaluate expected outcomes per position. Stage protocol failures and unexpected behavior to preview the cascading effects on you and your users.
Preview first-order effects of parameter changes
See how protocol changes affect you and your users before making any decision in production. Apply a proposed parameter change, such as adjusting protocol health factors, liquidation thresholds, and oracle configurations. Then, see exactly which positions are liquidated, at what price, and with what kind of exposure.
Test what-if scenarios against market history
Determine the effectiveness of your trading strategies against historical data and real execution. Replicate past market conditions, change variables, and run what-if analysis to evaluate the impact of your current strategy.
Validate complex strategies and vault operations
Model vault behavior and cross-chain strategies without exposing them on public networks. Validate cross-chain logic, including lending, borrowing, LP allocations, and staking, on current oracle prices, real liquidity, and live protocol state. Test withdrawal dynamics, slippage on large positions, and the edge cases that only surface against the real environment.
Practice trading strategies across financial markets
Model different trading strategies in production without investing real assets. Set custom account balances, evaluate profits and losses, and preview complex strategies against real market conditions. Enable the paper trading functionality within your live financial systems so your users can move assets with confidence.
Model financial risk on pioneering simulation technology
Production-synced state
Model against live oracle prices, current liquidity, real positions, and external dependencies, while modified slots hold your test values.
Private environments
Preview strategies, exposure, and intent in private simulation environments, eliminating mempool exposure on public networks.
Native cross-chain bridging
Test complete cross-chain asset movements with native support for bridging protocols within a single environment for 100+ chains.
Historical replays
Replicate conditions at any past block to run counterfactuals, replay incidents, and validate strategies against months of historical conditions.
State manipulation
Set custom account balances, impersonate addresses, and create adverse market conditions to run custom what-if analyses with full control over the state.
Verifiable hashes
Keep a documented record of every financial decision thanks to shareable transaction hashes and entire environments available for regulatory audits.
Make verified decisions across teams
Run financial modeling scenarios across risk, treasury, quant, or protocol teams so that every stakeholder who touches production does so with confidence.
Model cross-chain strategies, test routing logic, and preview protocol parameter changes against live liquidity. Stress-test new vault deployments, allocate institutional-size deposits and withdrawals, and demonstrate the expected outcomes to partners.
Explore DeFi solutions →Stress-test capital allocation before moving assets across protocols and chains. Enable risk and quant teams to model strategies, preview institutional flows, and anticipate the expected outcomes against live market conditions, while documenting every decision for review and compliance requirements.
Explore institutional solutions →Onboard key protocols, exchanges, and stablecoin providers by enabling the underlying infrastructure for financial modeling. Let key partners evaluate strategy performance and financial risk against production state, enabling safer asset movements and deeper liquidity on your chain.
Explore network solutions →Decentralized finance is modeled on simulations
At scale, Aave behaves differently; large deposits shift utilization, rates, and risk parameters in ways small test amounts never reveal. Being able to inflate token supplies and do proper tests has been massive from a business point of view. We now have over 500 end-to-end tests that all run on the Virtual TestNets.
This interactivity was really important for people to be engaged and experiment with different approaches and strategies, such as using indexers to examine specific blocks and find pools with the highest liquidity on a particular day. They could also test if their strategies actually worked, which wasn't possible without Virtual TestNets.
I can show our clients the transactions we'll initiate on their behalf after they give us their private keys. This way, they don't have to understand what's happening under the hood, but they can visually see the before-and-after effects of the transaction.
