Mid Cap Value Fund Technical Analysis
| AMDVX Fund | USD 14.85 -0.20 -1.33% |
As of the 21st of March, Mid Cap reports 14.85 per share in the latest quote. Technical drivers report Standard Deviation of 0.7922, risk adjusted performance of -0.0037, and Mean Deviation of 0.6131. Price momentum and volatility relationships form the basis of the analysis. Cross-sectional analysis places indicator values in market context.
Mid Cap Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Mid, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MidMid |
What if' Analysis
Historical what-if analysis for Mid Cap Value is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. Valuation should still be reviewed through market value, enterprise value, revenue scale, and balance-sheet quality. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/21/2025 |
| 03/21/2026 |
With 0.00 allocated to Mid Cap on December 21, 2025 and held through today, you would record 0.00 in aggregate return. This translates to a 0.0% total return in Mid Cap for the period across 90 trading days. The data captures price, volume, and timing inputs from exchange activity. Comparable fund peers for Mid Cap include T ROWE, HARTFORD SCHRODERS, T ROWE, T Rowe, MFS MODERATE, FRANKLIN MUTUAL, and SELECT FUND. The comparison helps frame competitive context. Peer classification reflects similarities in sector, size, or operational focus. Reported data is organized for reference and does not imply a course of action. Under normal market conditions, the portfolio managers will invest at least 80 percent of the funds net assets in medium... More
Mid Cap Upside and Downside Indicators Summary
Directional momentum for Mid Cap is captured through indicators that track upside and downside price ranges. The data frames how the price has moved within recent directional ranges. The information is sourced from historical market data.
| Information Ratio | 0.1071 | |||
| Maximum Drawdown | 3.43 | |||
| Value At Risk | -1.36 | |||
| Potential Upside | 1.45 |
Mid Cap Volatility and Risk Indicators Dashboard
Return variability and drawdown behavior for Mid Cap are summarized through these risk indicators. The measures describe how returns have dispersed relative to historical norms. Figures are sourced from market data feeds and exchange records.| Risk Adjusted Performance | -0.0037 | |||
| Jensen Alpha | 0.0586 | |||
| Total Risk Alpha | 0.0836 | |||
| Treynor Ratio | -0.02 |
Valuation-driven investors use mean reversion to time Mid Cap's investments: buying when it trades materially below its historical average valuation multiples and selling when it reaches premium territory.
Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.0037 | |||
| Market Risk Adjusted Performance | -0.01 | |||
| Mean Deviation | 0.6131 | |||
| Coefficient Of Variation | -22,509 | |||
| Standard Deviation | 0.7922 | |||
| Variance | 0.6277 | |||
| Information Ratio | 0.1071 | |||
| Jensen Alpha | 0.0586 | |||
| Total Risk Alpha | 0.0836 | |||
| Treynor Ratio | -0.02 | |||
| Maximum Drawdown | 3.43 | |||
| Value At Risk | -1.36 | |||
| Potential Upside | 1.45 | |||
| Skewness | -0.06 | |||
| Kurtosis | -0.27 |
Mid Cap Value Backtested Returns
Mid Cap suggests a very low volatility profile over the observed timeframe. It has a Sharpe Ratio of close to zero, evidencing negative risk-calibrated returns. We identified twenty technical indicators influencing the company's volatility profile. Please assess metrics such as standard deviation of 0.7922, risk-adjusted performance of -0.0037, and mean deviation of 0.6131 to evaluate statistical risk alignment. The fund retains a Market Volatility (i.e., Beta) of 0.73, which conveys possible diversification benefits within a given portfolio. With a sub-1 beta, Mid Cap participates in market rallies at a reduced pace while also limiting downside exposure.
Auto-correlation | -0.6 |
Good reverse predictability
The autocorrelation profile for Mid Cap Value registers good reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Mid Cap Value's near-term price behavior. A serial correlation of -0.6 indicates that roughly 60.0% of current Mid Cap price fluctuations can be explained by its historical price movements. Given that Mid Cap Value has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.6 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Technical signals for Mid Cap are derived from price and volume activity. The model references indicators tied to price trends and momentum. It is based on recorded price and volume patterns over time.
Technical Analysis
This analysis covers twenty-five data points across the selected time horizon. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Mid Cap Value volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Mid Cap focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Signal reliability can vary across market regimes and liquidity conditions.
For Mid Cap Value, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Ellen Johnson - Member of Macroaxis Editorial BoardMid Cap Technical Indicators
A technical review of Mid Cap Value can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.0037 | |||
| Market Risk Adjusted Performance | -0.01 | |||
| Mean Deviation | 0.6131 | |||
| Coefficient Of Variation | -22,509 | |||
| Standard Deviation | 0.7922 | |||
| Variance | 0.6277 | |||
| Information Ratio | 0.1071 | |||
| Jensen Alpha | 0.0586 | |||
| Total Risk Alpha | 0.0836 | |||
| Treynor Ratio | -0.02 | |||
| Maximum Drawdown | 3.43 | |||
| Value At Risk | -1.36 | |||
| Potential Upside | 1.45 | |||
| Skewness | -0.06 | |||
| Kurtosis | -0.27 |
Mid Cap Value One Year Return
Based on the recorded statements, Mid Cap Value has an One Year Return of 13.0463%. Within the American Century Investments family, this is way above average. The Mid-Cap Value category benchmark is notably above this level, and the broader all United States funds average is notably above.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.March 21, 2026 Daily Trend Indicators
A technical review of Mid Cap Value can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 14.85 | ||
| Day Typical Price | 14.85 | ||
| Price Action Indicator | -0.10 |