Altair is a short-term liquidity metric, derived from the estimated slippage of trades (executed market orders) combined with (weighted by) market order imbalances. The data is collected real time and aggregated from the top 10 most reputable exchanges.

These short-term liquidity metrics expressed as a ratio, aggregated daily from the aforementioned sources. Altair is a high turnover (100%+ daily) factor that requires smoothing: a 20 day moving average is applied by default to reduce turnover and transaction costs.

The asset universe consists of the most liquid and actively traded assets, identified on rolling basis - various techniques employed to keep it both stable and relevant, as well as survivorship-bias free.

To balance each asset's risk contribution, positions are scaled according to the inverse of their rolling volatility.

The factor is available (point-in-time) daily by 11:55pm UTC, assuming rebalancing at midnight UTC.

Benchmark (BTC)Portfolio
1.10
0.13
62.9%
-0.5%
0.00
0.00
1.00
0.05
-76.6%
-71.1%
61.8%
30.1%
0%
217.7%
100%
8.4%
100%
201.5%

Sharpe Ratio

Rolling 12 Months

Beta

Rolling 12 Months - Benchmark: BTC

Net Exposure of Portfolio

Current Weights

9/16/2025, 11:55:00 PM (UTC)
The portfolio is designed to be market-neutral on a volatilty-adjusted basis, therefore it may have net directional exposure on any given day. The weighting mechanism ensures that volatility-weighted directional exposure is negligible on the portfolio level.
TickerNameArrival PriceWeightDate
BTCBitcoin116878.615 USD0.00%2025-09-16T23:55:00.000Z
ETHEthereum4519.653 USD0.00%2025-09-16T23:55:00.000Z
SOLSolana237.867 USD0.00%2025-09-16T23:55:00.000Z
XRPRipple3.048 USD0.00%2025-09-16T23:55:00.000Z
DOGEDogecoin0.271 USD0.00%2025-09-16T23:55:00.000Z
SUISui3.615 USD0.00%2025-09-16T23:55:00.000Z
BNBBinance Coin957.429 USD0.00%2025-09-16T23:55:00.000Z
ADACardano0.882 USD0.00%2025-09-16T23:55:00.000Z
TRUMPTRUMP8.629 USD0.00%2025-09-16T23:55:00.000Z
LTCLitecoin115.253 USD0.00%2025-09-16T23:55:00.000Z
LINKChainlink23.61 USD0.00%2025-09-16T23:55:00.000Z
ONDOONDO1.026 USD0.00%2025-09-16T23:55:00.000Z
AVAXAvalanche30.112 USD0.00%2025-09-16T23:55:00.000Z
DOTPolkadot4.276 USD0.00%2025-09-16T23:55:00.000Z
BCHBitcoin Cash601.073 USD0.00%2025-09-16T23:55:00.000Z
PEPEPEPE0.00001102863645 USD0.00%2025-09-16T23:55:00.000Z
HBARHedera0.239 USD0.00%2025-09-16T23:55:00.000Z
TRXTRON0.343 USD0.00%2025-09-16T23:55:00.000Z
AAVEAave300.58 USD0.00%2025-09-16T23:55:00.000Z
FILFilecoin2.569 USD0.00%2025-09-16T23:55:00.000Z
TAOBittensor345.941 USD0.00%2025-09-16T23:55:00.000Z
NEARNEAR Protocol2.719 USD0.00%2025-09-16T23:55:00.000Z
UNIUniswap9.372 USD0.00%2025-09-16T23:55:00.000Z
APTAptos4.46 USD0.00%2025-09-16T23:55:00.000Z
TONToncoin3.167 USD0.00%2025-09-16T23:55:00.000Z
FETFET0.646 USD0.00%2025-09-16T23:55:00.000Z
ETCEthereum Classic20.564 USD0.00%2025-09-16T23:55:00.000Z
XLMStellar0.385 USD0.00%2025-09-16T23:55:00.000Z
RENDERRENDER3.886 USD0.00%2025-09-16T23:55:00.000Z
ARBArbitrum0.498 USD0.00%2025-09-16T23:55:00.000Z
SEISEI0.319 USD0.00%2025-09-16T23:55:00.000Z
ATOMATOM4.561 USD0.00%2025-09-16T23:55:00.000Z
VETVeChain0.0245741639 USD0.00%2025-09-16T23:55:00.000Z
POLPolygon0.259 USD0.00%2025-09-16T23:55:00.000Z
SHIBSHIB0.00001319736957 USD0.00%2025-09-16T23:55:00.000Z
JUPJUP0.519 USD0.00%2025-09-16T23:55:00.000Z
ALGOAlgorand0.239 USD0.00%2025-09-16T23:55:00.000Z
PENGUPENGU0.033993129 USD0.00%2025-09-16T23:55:00.000Z
ICPInternet Computer4.784 USD0.00%2025-09-16T23:55:00.000Z
BONKBONK0.00002417570415 USD0.00%2025-09-16T23:55:00.000Z
0.00%

Properties

Cross-Sectional
Derivative Exchanges
400+ Tickers
Ratio
-
20 Day
2024-01-01
Daily
11:55pm UTC
Yes
2 x 3
No

Frequently Asked Questions

What is the construction methodology of the model portfolio on display? How do I replicate it?

The portfolio is constructed by applying cross-sectional binning - quantiles. This ensures that the weights are calculated in proportion to the strength of the factor. The assets are then weighted according to the inverse of their rolling volatility, to mitigate the impact of widely different volatilities of digital assets. We provide a replication notebook in the "Resources" section that will produce a very similar portfolio than what's shown on the site.

Is the raw factor data available?

Yes, we serve the raw factor data via the "portfolio/factors" endpoint, please see the API Docs for more information.

What is smoothing? Some factors have by default setting (eg. 10 Day Moving Average) applied. Why is that?

Some of the cross-sectional factors have very high turnover, and despite being highly predictive, the alpha does not survive transaction costs. Smoothing (applying a simple moving average) is a way to reduce the turnover and the impact of transaction costs.

What is the universe of assets? How is it determined? Is it survivorship-bias free?

The universe of assets (there are multiple variants, for example, top 20, 30, 40 market cap digital assets) is the most liquid and actively traded assets, identified on rolling basis - various techniques (volume, open interest, volatility filters) are employed to keep it both stable and relevant. The universe is survivorship-bias free.

What is the rebalancing frequency?

The portfolio is rebalanced daily, at midnight UTC, weights are calculated at 11:55pm UTC, and available point-in-time.

What are the transaction cost / slippage assumptions?

There are 0.05% transaction costs applied on each position adjustment. This is a parameter that can be adjusted in the backtest settings. Slippage, spread is not considered in the simplistic backtest that's on our site. We encourage using an independent backtesting infrastructure to validate performance.

When have been the factors developed? Is there an out-of-sample period?

Our cutoff date for our research process is 2024-01-01, we consider any data onwards as out-of-sample. Many factors have been traded live in some form from 2025-01-01.

Some of the factors look great! Should I pick an individual factor and start trading it?

We recommend using a portfolio of factors to maximize risk-adjusted returns. Alpha from individual factors is simply not consistent enough, and even running a simple arithmetic average of 3-5 relatively orthogonal factors will produce superior results.

Live Weights

Get live weights with the code provided below.

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