Risk management
Trading risk management software for multi-leg books
Anchoryx measures what your book is really carrying — capital at risk versus notional exposure, decomposed delta, scenario shock P&L, and hedge coverage checked against strikes rather than intuition. The limits you set while calm are the limits that fire when the tape moves.
What the risk layer measures
Every number below is computed from real position structure — legs, strikes, expiries and intent tags — not from a single aggregated P&L row.
Capital at risk vs notional exposure
Two separate numbers, never blended: what you actually paid, and what the book controls at market. Sizing decisions stop being guesses the moment those are split.
Delta decomposition
Net delta broken into long and short legs, with core notional restricted to positions you tagged as core. You see directional truth instead of a flattering net figure.
Scenario shock testing
Second-order (Taylor-expansion) P&L projection across spot shocks, so you know what a 5% gap does to the book before the market runs the experiment for you.
Greek calculations
Premium-capped theta and linear vega on multi-leg structures — the math behaves correctly on spreads, collars, and covered inventory.
Structural hedge coverage
Strike-based notional comparison validates whether a hedge actually covers the position it claims to. Hedge candidates rank by net cost per day.
VIX swing projector
Square-root-of-time expected move cones, so protection is sized against a realistic vol range rather than a round number.
Tripwires and invalidation
Hard and soft conditions on price, macro level, or date. Risk limits are written down while you are calm and fire when they breach.
Health diagnostics
Inventory urgency, gamma drift, and delta drift surfaced across the whole book, so slow deterioration is visible before it becomes a loss.
Spreadsheet risk tracking vs Anchoryx
Most traders start with a sheet. It breaks at the point where structure, hedges, and stress testing all have to stay in sync.
| Task | Spreadsheet | Anchoryx |
|---|---|---|
| Exposure view | One P&L column; notional and cost basis blended together. | Capital at risk, notional exposure, and net delta tracked separately. |
| Stress testing | Manual what-if cells, rebuilt every time the book changes. | Scenario shock analysis recomputed against live position structure. |
| Hedge validation | Eyeballing strikes and hoping the coverage is real. | Strike-based notional coverage check plus net cost per day ranking. |
| Risk limits | Remembered under pressure, abandoned under pressure. | Tripwires and invalidation levels declared pre-trade, monitored after. |
How risk control runs day to day
- 1. Declare risk pre-trade. A brief records thesis, trigger, invalidation, and size before capital commits. Each leg gets a core, hedge, or offset tag.
- 2. Watch decomposed exposure. The dashboard splits capital at risk from notional and net delta from long/short legs, so concentration is visible at a glance.
- 3. Shock the book. Scenario analysis projects P&L across spot moves and vol cones, and the hedge simulator ranks protection by net cost per day.
- 4. Let tripwires do the enforcing. Pre-set price, macro, and date conditions fire on breach — no in-the-moment renegotiation of your own rules.
The full cadence is on the How it Works page, and the example desk shows it running.
Trading risk management FAQ
What is trading risk management software?
It is software that measures the exposure a trading book actually carries — directional, volatility, and concentration — and enforces the limits a trader sets in advance. Good tools separate capital at risk from notional exposure, stress the book against price and volatility shocks, and validate that hedges cover what they claim to cover.
Who is Anchoryx built for?
Self-directed and professional traders running multi-leg options and equity books who already understand Greeks and want the exposure math handled consistently instead of rebuilt in a spreadsheet each week.
Does it replace my broker platform?
No. Your broker executes. Anchoryx holds the risk and reasoning layer around those positions: intent tags, hedge coverage, scenarios, tripwires, and the exposure decomposition your broker does not show.
Can an AI agent use the same risk data?
Yes. Anchoryx exposes the structured book over its MCP server, so an LLM client reads real positions, scenarios, and tripwires. Reads are open; every write requires your approval.
Put real numbers under your risk limits
Start tracking exposure, hedge coverage, and scenario shocks on your own book — free to begin.