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Factors/On-Chain/Supply Velocity
Aperiodic · AF-SUPV · FactsheetAs of Sep 14, 2026
AF-SUPV

Supply Velocity

supply_velocity

Assets with lower inflation perform better than assets with higher inflation.

CAGR
+20.62%
Ann. vol
15.5%
Sharpe
1.28

How the factor is constructed

Supply Velocity measures changes in token supply dynamics, capturing inflationary and deflationary pressures across crypto assets and reflecting the fundamental relationship between token supply and asset performance. It is inspired by the observation that supply inflation can lead to underperformance as crypto matures into a more fundamental-driven market.

The universe consists of the most liquid and actively traded assets, identified on a rolling basis and survivorship-bias free. Positions are scaled by the inverse of rolling volatility; the factor is available point-in-time with hourly updates.

Signals
On-Chain Cross-sectional
Construction
Rank-weighted Long / short
Risk
Vol-targeted Inverse-vol scaled
Data
Point-in-time Reproducible

Supply Velocity

Jan 01, 2020 – Sep 14, 2026
72132193253314374Jan 20Feb 21Mar 22May 23Jun 24Aug 25Sep 26
Performance & risk by period
PeriodReturnBTCAnn. volSharpeMax DD
1 month+4.77%+24.10%——-2.4%
3 months+11.44%+17.86%——-2.4%
Year to date+11.90%-11.92%——-7.6%
1 year+39.92%-32.28%14%2.50-7.6%
Since inception (CAGR)+20.62%+42.73%15.5%1.28-23.2%
Implementation paths · AF-SUPV

Putting Supply Velocity to work

There are two ways to take Supply Velocity from factsheet to live book: overlay it as a sleeve on the portfolio you already run, or use it as a building block in a standalone multi-factor portfolio. Both paths are documented in short, runnable notebooks that work out of the box against the public demo key — no signup required.

Notebook 01 · IPYNB

Add Supply Velocity to an existing portfolio

Size a Supply Velocity sleeve alongside your current book and quantify what it changes: correlation to your existing returns, then CAGR, volatility, Sharpe and maximum drawdown before and after the blend. One parameterized notebook runs for any factor — swap in Supply Velocity, then bring your own daily returns as a CSV or start from the built-in demo book.

Open the notebookDownload .ipynb
Blend impact · illustrativebefore → after
Your book+ AF-SUPV sleeve
Inputs
Your CSV · demo
Reports
Corr · Sharpe · DD
Notebook 02 · IPYNB

Build a portfolio from scratch

Construct a market-neutral multi-factor portfolio from the ground up: ensemble the raw signals, apply inverse-volatility weights with a per-asset cap, and backtest net of transaction costs. The default factor list reconstructs the 7 Factor Composite; add Supply Velocity to the factors list to measure its marginal contribution to the blend.

Open the notebookDownload .ipynb
Target weights · one daylong / short
BTC+19%
ETH+13%
SOL+8%
LINK+3%
AVAX-3%
XRP-8%
BNB-13%
DOGE-19%

New to the platform? The five-step guide covers data access, a proof of concept, and licensing.

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Factor properties
Ticker
AF-SUPV
API id
supply_velocity
Family
On-Chain
Universe
Top 40 Market Cap
Default smoothing
None
Rebalancing
Daily, hourly updates
History from
Jan 01, 2020
As of
Sep 14, 2026
Point-in-time
Yes — no look-ahead
Since inception (CAGR)
+20.62%
Max drawdown
-23.2%
Daily turnover
8.0%
Avg net exposure
10.5%
Avg gross exposure
99.8%
Downloads & links
PDFFactsheetCSVPortfolio returnsCSVRaw factor dataIPYNBAlphaLens notebookIPYNBIntegration notebook

Licence this factor

Custom pricing based on AUM, live weights via API, and methodology access under NDA.

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Aperiodic Factors

Institutional cross-sectional alpha factors for digital-asset desks — extracted from liquidity, flow and market microstructure metrics.

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Provided for informational purposes only; not investment advice, a recommendation, or an offer to transact. Past performance is not indicative of future results.

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