Cross-sectional flow: ranking crypto against itself
Most dashboards look at one coin at a time. Cross-sectional analysis does the opposite — it asks how every coin stacks up against all the others right now, and turns that ranking into the signal.
A time-series view studies one asset across time. A cross-sectional view takes a single moment and compares the whole universe at once — then trades the difference.
Time-series vs. cross-sectional
A time-series view asks: is BTC higher than yesterday, is its funding rising, is volume picking up. It is the default lens of almost every charting tool. A cross-sectional view asks: of all the coins we track, which have the strongest taker buying, the most stretched funding, the heaviest order-book pressure — relative to each other, right now.
The difference matters because crypto is so correlated. In a strong tape, almost everything has "rising volume" and "positive momentum" on its own chart. That tells you little. What is tradeable is dispersion: which names are leading and which are lagging the pack.
What goes into a flow ranking
- Taker flow: the net of aggressive market buying vs. selling — who is paying up to get filled.
- Funding: the perpetual-swap funding rate, a read on how crowded and expensive each side is.
- Order-book pressure: the imbalance between resting bids and asks near the touch.
- Momentum & breakout: recent relative strength, measured against the field rather than an absolute threshold.
Each input is scored relative to the universe — a coin is not "high funding" in the abstract, it is high funding compared with its peers today. Combining those into one rank gives a single read on where each coin sits in the pack.
Why the relative lens is harder to fake
Absolute signals drift with the regime — thresholds that worked in a calm market scream constantly in a volatile one. A cross-sectional rank is self-normalising: because every coin is graded against the current field, the top and bottom of the list stay meaningful whether the whole market is hot or cold. That is exactly what a market-neutral engine needs, since it trades the spread between the top and the bottom.
How Aegium uses it
Aegium is built around this lens. The live engines rank the field by cross-sectional flow, go long the top and short the bottom, and rebalance as the ranking shifts — net of fees and funding, marked hourly in public. It is decision-support: a relative-strength read, not a recommendation tailored to you.
Educational content only. Nothing here is financial advice, a personal recommendation, or a solicitation to buy, sell, or hold any asset. Crypto trading carries substantial risk of loss.
See the ranking traded live
The live engines trade this spread in public, marked hourly. Watch them.