Spectra is a market-neutral portfolio that combines six orthogonal factors:

  • Enhanced Momentum
  • Enhanced Carry
  • Retail Flow
  • Margin Risk
  • Altair
  • Enhanced Mean Reversion

The Adaptive overlay reduces the portfolio's gross exposure when the market conditions are adverse. This may results in prolonged periods of very small (<10%) gross exposure.

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 portfolio is rebalanced daily, at midnight UTC, weights are calculated at 23:55 and 00:15 UTC.

Benchmark (BTC)Portfolio
1.07
3.10
59.5%
121.9%
0.00
0.80
1.00
0.05
-76.6%
-18.4%
61.5%
26.8%
0%
46.8%
100%
13.4%
100%
123.4%

Sharpe Ratio

Rolling 12 Months

Beta

Rolling 12 Months - Benchmark: BTC

Net Exposure of Portfolio

Current Weights

10/22/2025, 12:10:16 AM (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
BTCBitcoin108380.006 USD0.00%2025-10-22T00:10:16.171594+00:00
ETHEthereum3874.6 USD0.00%2025-10-22T00:10:16.171594+00:00
SOLSolana185.611 USD0.00%2025-10-22T00:10:16.171594+00:00
XRPRipple2.424 USD0.00%2025-10-22T00:10:16.171594+00:00
DOGEDogecoin0.194 USD0.00%2025-10-22T00:10:16.171594+00:00
SUISui2.49 USD0.00%2025-10-22T00:10:16.171594+00:00
BNBBinance Coin1057.127 USD0.00%2025-10-22T00:10:16.171594+00:00
ADACardano0.643 USD0.00%2025-10-22T00:10:16.171594+00:00
LTCLitecoin92.671 USD0.00%2025-10-22T00:10:16.171594+00:00
LINKChainlink17.626 USD0.00%2025-10-22T00:10:16.171594+00:00
ONDOONDO0.724 USD0.00%2025-10-22T00:10:16.171594+00:00
AVAXAvalanche19.542 USD0.00%2025-10-22T00:10:16.171594+00:00
DOTPolkadot3.006 USD0.00%2025-10-22T00:10:16.171594+00:00
BCHBitcoin Cash481.649 USD0.00%2025-10-22T00:10:16.171594+00:00
ENAENA0.454 USD0.00%2025-10-22T00:10:16.171594+00:00
PEPEPEPE0.000006915438044725397 USD0.00%2025-10-22T00:10:16.171594+00:00
HBARHedera0.171 USD0.00%2025-10-22T00:10:16.171594+00:00
TRXTRON0.322 USD0.00%2025-10-22T00:10:16.171594+00:00
AAVEAave218.748 USD0.00%2025-10-22T00:10:16.171594+00:00
TAOBittensor381.853 USD0.00%2025-10-22T00:10:16.171594+00:00
WLDWLD0.888 USD0.00%2025-10-22T00:10:16.171594+00:00
NEARNEAR Protocol2.218 USD0.00%2025-10-22T00:10:16.171594+00:00
UNIUniswap6.253 USD0.00%2025-10-22T00:10:16.171594+00:00
APTAptos3.221 USD0.00%2025-10-22T00:10:16.171594+00:00
TONToncoin2.137 USD0.00%2025-10-22T00:10:16.171594+00:00
ETCEthereum Classic15.718 USD0.00%2025-10-22T00:10:16.171594+00:00
XLMStellar0.315 USD0.00%2025-10-22T00:10:16.171594+00:00
KASKaspa0.051684596014807724 USD0.00%2025-10-22T00:10:16.171594+00:00
ARBArbitrum0.311 USD0.00%2025-10-22T00:10:16.171594+00:00
ATOMATOM3.188 USD0.00%2025-10-22T00:10:16.171594+00:00
VETVeChain0.017201912648997796 USD0.00%2025-10-22T00:10:16.171594+00:00
POLPolygon0.194 USD0.00%2025-10-22T00:10:16.171594+00:00
SHIBSHIB0.000010057575520835404 USD0.00%2025-10-22T00:10:16.171594+00:00
ALGOAlgorand0.181 USD0.00%2025-10-22T00:10:16.171594+00:00
HYPEHYPE35.362 USD0.00%2025-10-22T00:10:16.171594+00:00
PENGUPENGU0.021282766136472526 USD0.00%2025-10-22T00:10:16.171594+00:00
ICPInternet Computer3.047 USD0.00%2025-10-22T00:10:16.171594+00:00
XMRMonero304.964 USD0.00%2025-10-22T00:10:16.171594+00:00
PUMPPUMP0.0036938592568083765 USD0.00%2025-10-22T00:10:16.171594+00:00
WLFIWLFI0.126 USD0.00%2025-10-22T00:10:16.171594+00:00
0.00%

Properties

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 23:55 and 00:15 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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