Barrons 400 Maximum Drawdown
| BFOR ETF | | | USD 89.23 -0.38 -0.42% |
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 Barrons 400's current Maximum Drawdown with peer comparisons and related risk metrics.
Current Maximum Drawdown Value
Barrons 400 carries a Maximum Drawdown of 4.66, consistent with a contained peak-to-trough loss. Barrons 400's maximum drawdown has remained under 10%, indicating limited downside exposure.
Maximum Drawdown | = | MAX(HIGH - LOW) |
| = | 4.66 | |
| MAX | = | Maximum notation for the range of returns on Barrons 400 |
Maximum Drawdown Peers Comparison
The peer group averages 5.87 for Maximum Drawdown, with Barrons 400 at 4.66 falling below that level. Readings span 2.69 (6 Meridian Low) to 8.45 (SPDR SAMPP Oil). Barrons 400's shallower drawdown relative to peers indicates more contained historical downside.
Maximum Drawdown Relative To Other Indicators
The chart below plots Maximum Drawdown against Maximum Drawdown for Barrons 400 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.
Barrons 400's Maximum Drawdown reads
4.66 while Maximum Drawdown reads
4.66 , a
1.00 ratio between the two. The two measures are closely aligned in magnitude for Barrons 400.
Methodology, Assumptions & Data Sources
The current Maximum Drawdown for Barrons 400 is 4.66. Maximum Drawdown for Barrons 400 is derived by applying a defined formula to historical price observations, producing a time-series of comparable readings. Price data is sourced from standardized end-of-day feeds across supported exchanges, normalized for corporate actions. Indicator accuracy depends on data continuity across the calculation period. Gaps in trading history may affect the output.
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