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Spectra Adaptive

Market-Neutral
Survivorship-Bias Free
Multi-Factor
Top 30 Market Cap
Tier 3

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, with hourly updates provided, 5 minutes past the hour (UTC).

Benchmark (BTC)Portfolio
0.91
3.13
44.4%
124.7%
0.00
0.82
1.00
0.04
-76.6%
-18.3%
61%
27%
0%
43.8%
100%
13.1%
100%
116.9%

Sharpe Ratio

Rolling 12 Months

Beta

Rolling 12 Months - Benchmark: BTC

Net Exposure of Portfolio

Portfolio Variants

Spectra Adaptive - Top 20 Market Cap
Tier 3
Combines 6 cross-sectional, orthogonal factors - while reducing exposure dynamically in adverse market conditions.
Spectra Adaptive - Top 40 Market Cap
Tier 3
Combines 6 cross-sectional, orthogonal factors - while reducing exposure dynamically in adverse market conditions.

Current Weights

3/11/2026, 12:12:58 AM (UTC)
Adaptive Portfolio weights can be all zero when the risk signal scales the portfolio weights down.
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
BTCBitcoin69919.159 USD0.00%2026-03-11T00:12:58.568655+00:00
ETHEthereum2036.934 USD0.00%2026-03-11T00:12:58.568655+00:00
SOLSolana85.835 USD0.00%2026-03-11T00:12:58.568655+00:00
XRPRipple1.386 USD0.00%2026-03-11T00:12:58.568655+00:00
DOGEDogecoin0.0945417134574696 USD0.00%2026-03-11T00:12:58.568655+00:00
SUISui0.957 USD0.00%2026-03-11T00:12:58.568655+00:00
BNBBinance Coin641.881 USD0.00%2026-03-11T00:12:58.568655+00:00
ADACardano0.262 USD0.00%2026-03-11T00:12:58.568655+00:00
LTCLitecoin53.85 USD0.00%2026-03-11T00:12:58.568655+00:00
LINKChainlink8.983 USD0.00%2026-03-11T00:12:58.568655+00:00
ONDOONDO0.255 USD0.00%2026-03-11T00:12:58.568655+00:00
AVAXAvalanche9.532 USD0.00%2026-03-11T00:12:58.568655+00:00
BCHBitcoin Cash446.853 USD0.00%2026-03-11T00:12:58.568655+00:00
PEPEPEPE0.000003299598048163681 USD0.00%2026-03-11T00:12:58.568655+00:00
HBARHedera0.09511423339677791 USD0.00%2026-03-11T00:12:58.568655+00:00
TRXTRON0.286 USD0.00%2026-03-11T00:12:58.568655+00:00
AAVEAave111.633 USD0.00%2026-03-11T00:12:58.568655+00:00
TAOBittensor199.717 USD0.00%2026-03-11T00:12:58.568655+00:00
WLDWLD0.356 USD0.00%2026-03-11T00:12:58.568655+00:00
TONToncoin1.319 USD0.00%2026-03-11T00:12:58.568655+00:00
ETCEthereum Classic8.235 USD0.00%2026-03-11T00:12:58.568655+00:00
XLMStellar0.159 USD0.00%2026-03-11T00:12:58.568655+00:00
ATOMATOM1.788 USD0.00%2026-03-11T00:12:58.568655+00:00
POLPolygon0.09622475172210056 USD0.00%2026-03-11T00:12:58.568655+00:00
SHIBSHIB0.000005647925164557487 USD0.00%2026-03-11T00:12:58.568655+00:00
ICPInternet Computer2.387 USD0.00%2026-03-11T00:12:58.568655+00:00
XMRMonero353.102 USD0.00%2026-03-11T00:12:58.568655+00:00
ZECZEC222.698 USD0.00%2026-03-11T00:12:58.568655+00:00
WLFIWLFI0.102 USD0.00%2026-03-11T00:12:58.568655+00:00
ASTERASTER0.702 USD0.00%2026-03-11T00:12:58.568655+00:00
0.00%
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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, with hourly updates, 5 minutes past the hour (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.
If you have any questions, please contact us

Replication & API

Construct a Multi-Factor Portfolio

Replicate a Multi-Factor, market-neutral Portfolio using Unravel API
Construct a Multi-Factor Portfolio

Replicate Portfolio Backtest

Replicate a portfolio backtest with Unravel API
Replicate Portfolio Backtest

Get Live Weights

Get the live weights of the portfolio or the live factor data
Get Live Weights

Factor Analysis

Factor analysis with AlphaLens
Factor Analysis

Live Weights

Get live weights with the code provided below.

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