AuthID Maximum Drawdown
| AUID Stock | | | USD 1.24 0.03 2.48% |
Maximum Drawdown (or MDD) is another indicator of risk. It is the reduction in asset value after a series of losing trades. This is normally calculated by getting the difference between a relative peaks in equity capital minus a relative trough. Below is AuthID's current Maximum Drawdown with peer comparisons and related risk metrics.
Current Maximum Drawdown Value
At 30.26, AuthID's Maximum Drawdown indicates a severe peak-to-trough loss. AuthID's maximum drawdown exceeds 30%, reflecting significant downside exposure.
Maximum Drawdown | = | MAX(HIGH - LOW) |
| = | 30.26 | |
| MAX | = | Maximum notation for the range of returns on AuthID |
Maximum Drawdown Peers Comparison
AuthID's Maximum Drawdown of 30.26 falls above the 29.51 peer average. Values range from 14.17 (MOGO Old) to 55.7 (Arbe Robotics), with wide dispersion across the group. AuthID's deeper drawdown relative to peers indicates greater historical downside exposure.
Maximum Drawdown Relative To Other Indicators
The chart below plots Maximum Drawdown against Maximum Drawdown for AuthID and its peers. Each point represents one equity — position along the horizontal axis shows Maximum Drawdown while the vertical axis shows Maximum Drawdown. Equities that cluster in different quadrants carry distinct risk-return profiles. Use the dropdowns to swap in other indicators for either axis.
With Maximum Drawdown at
30.26 and Maximum Drawdown at
30.26 , AuthID shows a
1.00 -to-one ratio between these indicators. The two measures are closely aligned in magnitude for AuthID.
Methodology, Assumptions & Data Sources
AuthID's Maximum Drawdown currently stands at 30.26. AuthID's Maximum Drawdown is computed from historical closing prices over the selected time horizon, applying the indicator's defined mathematical transformation to raw price data. Data sources include daily closing prices from supported exchanges, with standard corporate action adjustments applied. AuthID operates in the information technology sector, which may exhibit distinct volatility and momentum characteristics relative to the broader market. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
Other Technical Indicators