Risk metrics for periods of 50, 100 & 200 days
product_id risk_adjustment_momentum_factor_us · 4800+ stocks · daily refresh · since 2003-01-01 · 4 data columns · API/CSV
curl "https://www.kavout.com/api?product_id=risk_adjustment_momentum_factor_us&api_key=YourAPIKey"
symbol / trade_date / field to filter · docs →GET · JSON · CSVRisk-adjusted momentum is similar to price momentum, except this factor takes into account the level of risk involved. This is done primarily because of the popularity of the momentum factor during periods of high volatility, and by taking into account volatility, we mitigate the momentum factor from suffering from swift changes in market direction.
Data through 2026-10-26
Data through 2026-10-26
Risk-adjusted momentum factors are available for all the tradable stock equities on the US stock exchanges, including major securities markets such as NYSE, Nasdaq and Dow Jones Industrial.
| Sector | Count | Type | Start date |
|---|---|---|---|
| Finance | 1,133 | Equities | 2003-01-01 |
| Health Technology | 775 | Equities | 2003-01-01 |
| Technology Services | 392 | Equities | 2003-01-01 |
| Electronic Technology | 387 | Equities | 2003-01-01 |
| Producer Manufacturing | 304 | Equities | 2003-01-01 |
| Consumer Services | 286 | Equities | 2003-01-01 |
| Non-Energy Minerals | 237 | Equities | 2003-01-01 |
| Energy Minerals | 223 | Equities | 2003-01-01 |
| Commercial Services | 223 | Equities | 2003-01-01 |
| Industrial Services | 194 | Equities | 2003-01-01 |
Risk-adjusted momentum factors are calculated daily for thousands of stocks.
This data is available via API and CSV download.
Risk-adjusted momentum uses a rolling analysis of time series model: 50 days, 100 days, and 200 days. This estimates the coefficients over a rolling window and scaled by the 200 days rolling volatility.
In addition to considering price and return, risk-adjusted momentum takes into consideration a volatility scale.
We applied the aforementioned risk-adjusted momentum metrics to a universe of the largest 500 US equities by market capitalization and ranked each stock on its risk-adjusted momentum factor. We then divided the universe into 10 quantiles of stocks, with the top quantile (Q_10) representing stocks with the highest value of that factor and the bottom quantile (Q_1) representing the lowest value of that factor.