Free · open methodology · no sign-up

Risk analytics,
atom by atom.

Price a single trade or stress a whole book. Every number comes with the formula behind it, and AI that explains it in plain English.

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Open the Risk LabRun the Risk Engine
instrument types
84
instrument types
pricing models
37
pricing models
calculators
34
calculators
sign-ups needed
0
sign-ups needed

Live in your browser

A year of risk in a second.

Two thousand fat-tailed paths for a one-year portfolio, simulated on your device, with value at risk and expected shortfall read straight off the outcomes.

monte_carlo · 2,000 paths
VaR 99%
…
ES 97.5%
…
P(loss)
…
computed in
…

Simulated live in your browser. Press re-run for a new draw.

The platform

From a single trade to the whole book.

The Lab and the Engine share the same models and market data, so a price in one is the price in the other.

Risk Engine

Portfolio risk, run by run

Build a book’s risk model in a versioned run: market data, instruments, portfolio trees, stress scenarios, simulations, and VaR and expected shortfall through any portfolio tree are live. Reports, Monte Carlo scenarios and delta-gamma VaR come next. Every run can be rolled forward and reopened.

Example run

positions
1,284
scenarios
10,000
1-day VaR 99%
−1.84m
  1. Portfolio→
  2. Market data→
  3. Model→
  4. Simulate→
  5. VaR · ES→
  6. Report

Risk Lab

The free sandbox

84 instrument types on 37 pricing models, the covariance toolkit and 34 calculators.
  • ✓ symmetric
  • ✗ min eigenvalue −0.031
  • → nearest PSD (Higham)

Market data · live

Today’s curves

Government curves, overnight rates, FX and indices, refreshed every morning from public sources.
3M1Y5Y10Y30Y

AI lab

Ask why, not just what

Claude explains each result in plain English and every figure it quotes is checked against the engine.

› why is VaR up today?

every figure checked against the engine

News · today

What moved risk today

The day’s headlines ranked for risk managers, and the week in review.

Research

Methodology in the open

Notes on models, regulation and market practice, with references you can check.
  • §FRTB expected shortfall, step by step
  • §Bootstrapping a curve from par yields
  • §Repairing a correlation matrix

Glass box, not black box

Every number shows its working.

Each result comes with the model, the market conventions, the intermediate steps and the references, so you can check it, reproduce it and defend it.

  • ✓Formulas in LaTeX
  • ✓Conventions spelled out
  • ✓Step-by-step values
  • ✓Cited references
Methodology · Black–Scholes callverified
C=Se−qTN(d1)−Ke−rTN(d2)C = S e^{-qT} N(d_1) - K e^{-rT} N(d_2)

S = 100 · K = 100 · r = 5% · q = 0 · σ = 20% · T = 1y

d₁(ln(S/K) + (r − q + σ²/2)T) / σ√T0.3506
d₂d₁ − σ√T0.1506
N(d₁)standard normal cdf0.6371
CallS e^(−qT) N(d₁) − K e^(−rT) N(d₂)10.4506

Built for the middle office

01

Market risk

VaR, expected shortfall and stress tests you can trace back to every input.

02

Treasury and ALM

Curves, swaps and cash flows on today's government and overnight rates.

03

Valuation control

Independent prices with the model, conventions and steps written out.

04

Model validation

Benchmarks with references, test cases and the maths in the open.

Start with a single atom.

Price one instrument in the Lab, then bring the whole portfolio to the Engine when you are ready.

Open the Risk LabSee today’s markets