Regular / Mega
The cross-asset foundation.
Crypto, commodities, regimes, correlations and portfolio-level research.
OMEGAQuantitative researchOMEGA / Quantitative research
Cross-asset intelligence. Research discipline.
A clearer view of uncertainty and risk.
Research in development. This public experience has no brokerage, order, transfer or execution connection.

One research discipline / Different horizons
Regular / Mega
Crypto, commodities, regimes, correlations and portfolio-level research.
OMEGA Light
Probability-market structure, quote quality, expiry and joint-outcome questions.
OMEGA Prime
Options structures, volatility, assignment and realistic capital constraints.
OMEGA Research Command
Explore research lanes, compare illustrative series and inspect the data basis. Market snapshots are dated; chart geometry is a separate illustration.
REGULAR / MEGA
Keep regimes, dependencies and correlated exposure in the same discussion.
LIGHT
Inspect the market structure and the assumptions behind a probability before drawing a conclusion.
PRIME
Explore derivatives research with attention to capital, liquidity, assignment and loss behavior.
Dated public market data
These public Kraken ticker values were captured for this release. They are a dated market snapshot, not executable quotes or a connected research feed.
Captured 2026-10-26T04:57:34Z
| Public pair | Last trade USD | Snapshot status |
|---|---|---|
| BTC / USD | 79943.6 | Dated public snapshot |
| ETH / USD | 2315.41 | Dated public snapshot |
Source: Kraken public Ticker API. A capture timestamp is not a quote-validity guarantee.
Download the source recordThe research standard
01 / Data integrity
Source, timestamp, coverage and missingness belong alongside every analysis.
02 / Evaluation
Holdout behavior, transaction constraints and correlated outcomes need their own evidence.
03 / Risk discipline
A promising illustration does not establish an executable advantage or justify a live allocation.
OMEGA / Quantitative research
Discuss the data, research scope and evidence needed for a bounded evaluation.