HALCYON WATERS

We Read the Crypto-Derivatives Markets Deeper than Ever.

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Our mission

Calm reading of the most chaotic market on earth

Halcyon Waters builds the analytical layer crypto derivatives never had. We read what options reveal, model it with the rigor of a banking quant desk, and turn market noise into structured intelligence that capital can act on.

One conviction drives everything: crypto's most sophisticated instrument trades on its least sophisticated tools. We exist to close that gap.

See first

Read the signal before price

Options reveal positioning long before it shows up in spot. We surface it while it still matters.

Go deep

One market, understood fully

We start with Deribit and model its microstructure in full, instead of skimming a dozen venues.

Then act

From insight to capital

First we prove the edge out in the open. Then we trade it with our own money. We sell analytics now; systematic trading comes later.

The problem

Options traders
are flying blind

Spot dashboards everywhere. Futures analytics abundant. But options, where institutional capital expresses its real views, have been neglected. The most complex instrument in crypto, served by the crudest tools.

The existing data vendors show metrics: surfaces, Greeks, skew, flow. None tell you what phase of the volatility cycle you are in. We do.

How we think

The derivatives tail wags the spot dog

01

Our approach

Most people watch price and volume. The information about where this market is heading lives in the options. In crypto, the derivatives tail wags the spot dog, and we built everything around that.

02

Options reveal intent

When a fund buys spot, you only learn it is bullish. Its options structures reveal the timeline, the levels it defends, and the capital at risk. We read positioning, not press releases.

03

Depth over breadth

When everyone analyzes everything, nobody understands anything deeply. We start with Deribit, where most serious crypto-options volume trades, and model its order book in full. Depth on the market that matters most beats a thin read across many.

04

Derivatives lead spot

Institutional adoption arrives through derivatives first. Precise risk tools come before serious capital, so the flow appears in options positioning before spot. We sit where it becomes visible first.

05

From observation to execution

The edge we surface for clients, we intend to trade. Proven analytics first, systematic strategies next: the natural arc from seeing inefficiency to capturing it.

The ORIA engine

An instrument,
not a dashboard

Options Reusable Intelligence Architecture (ORIA) is the system at the core of everything we build. Think of it less as a screen of quotes and more as a scientific instrument: every ten minutes it takes a complete reading of the Deribit options market, prices each contract from first principles, and resolves thousands of moving parts into a handful of states a desk can act on.

01

Capture

A full reading of the Deribit chain every ten minutes: options, futures, spot, order-book depth. No sampling, no gaps.

Full exposure
02

Price

Every contract repriced from first principles, 37 Greeks each, Black-Scholes and American, with liquidity and reliability attached.

First principles
03

Resolve

Thousands of contracts collapse into 24 liquidity-weighted cohorts per asset and 127 surface measures. Structure emerges from the field.

Structure
04Live

Read

Greek ratios and surface dynamics are scored against learned thresholds, surfacing where risk concentrates and where a regime is bending.

The reading

Six layers. Nine waves. The instrument retunes itself to each volatility regime, so a move that means nothing in a calm market registers the moment the market turns.

What we measure

The full anatomy of a market

Most tools cover a slice and call it the whole. We set out to measure every layer that moves an options market, because a half-read market is how you get blindsided.

Risk, to the fourth order

We compute the sensitivities most desks stop short of, then price every contract two ways and watch the gap. The distance between model and market is where conviction is built.

The shape of volatility

A single implied-vol number hides almost everything. We read the surface as geometry: how skew, term structure, and carry bend, because that shape is the market forecasting itself.

Where dealers are committed

We map where market-maker hedging concentrates and correct it for who actually traded. Raw gamma estimates point the wrong way often enough to be dangerous on their own.

Who is on the other side

The same volume means different things depending on who put it on. We separate institutional structure from retail noise in the tape, so size is read for intent, not just magnitude.

How the assets relate

Volatility rarely moves one coin at a time. We measure each asset against Bitcoin across tenors to surface where one market is priced out of step with the rest.

What is quietly changing

Positioning shifts before price does. We track movement in flow, volume, and concentration to notice accumulation while it is still quiet, not after the move has happened.

Coverage is not a feature to us. It is the whole point.

Why this cannot be copied quickly

The moat widens every cycle

01

Pipeline depth

ORIA runs 6 analytical layers, 9 enhancement waves, and 127+ computed columns. A competitor would need to rebuild the entire pipeline before building what sits on top.

02

Irreversible data

10-minute snapshots with order-book depth, accumulating since September 2025. Every day of collection deepens a dataset that cannot be rebuilt retrospectively.

03

Domain lock-in

Deep specialization in crypto-options microstructure, calibrated first on Deribit, where most of the serious volume trades. The methodology is venue-agnostic: the same engine extends to any exchange that wants this lens. That depth surfaces patterns generalist, multi-market tools miss.

Where we are headed

From observation to execution

The infrastructure we build for clients, we build for ourselves. As the data compounds and the models mature, we move toward systematic strategy deployment.

Now

Data and analytics

Real-time options intelligence platform. API in development. Early client onboarding.

2026–27

Backtesting engine

Strategy validation on our proprietary dataset. Historical pattern querying. Edge measurement.

2027+

Asset management

Systematic strategy deployment. Proprietary capital allocation. Fund structure.

Leadership
Pawel Lachowicz

Pawel Lachowicz, PhD

Role
CEO & Founder
Background
PhD, astrophysics
Experience
15+ yrs quant finance
Built
ORIA · Cayø Largo analytics engine

The out-of-the-box thinker. Trained in research that rewards rigor, he learned markets from the inside, across prop trading, risk, and bank quant desks, then set out to build the analytics those desks never had. Halcyon Waters is the result. He enjoys exploring uncharted territories, sailing, non-trivial conversations, and books that shift a point of view.

LinkedIn
From the founder’s desk

The signal shows up in options first.
We write down where.

Notes from the Logbook: how we read crypto derivatives, what the positioning is saying, and the occasional line on what we are building.

No spam. Updates worth reading.