# X Square Balanced Etf Technical Analysis

SQBFX Etf | USD 13.37 0.06 0.45% |

As of the 7th of September, X Square maintains the Mean Deviation of 0.4382, downside deviation of 0.5816, and Market Risk Adjusted Performance of 0.5631. In respect to fundamental indicators, the technical analysis model lets you check potential technical drivers of X Square Balanced, as well as the relationship between them.

### X Square Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SQBFX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SQBFXSQBFX |

X Square technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.

## X Square Balanced Technical Analysis

The output start index for this execution was fifty-two with a total number of output elements of nine. 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 X Square Balanced volatility. High ATR values indicate high volatility, and low values indicate low volatility.

## X Square Balanced Trend Analysis

Use this graph to draw trend lines for X Square Balanced. You can use it to identify possible trend reversals for X Square as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual X Square price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.## X Square Best Fit Change Line

The following chart estimates an ordinary least squares regression model for X Square Balanced applied against its price change over selected period. The best fit line has a slop of 0.01 , which means X Square Balanced will continue generating value for investors. It has 122 observation points and a regression sum of squares at 3.1, which is the sum of squared deviations for the predicted X Square price change compared to its average price change.## About X Square Technical Analysis

The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of X Square Balanced on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of X Square Balanced based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on X Square Balanced price pattern first instead of the macroeconomic environment surrounding X Square Balanced. By analyzing X Square's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of X Square's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to X Square specific price patterns or momentum indicators. Please read more on our technical analysis page.

## X Square September 7, 2024 Technical Indicators

Most technical analysis of SQBFX help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SQBFX from various momentum indicators to cycle indicators. When you analyze SQBFX charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

Risk Adjusted Performance | 0.0628 | |||

Market Risk Adjusted Performance | 0.5631 | |||

Mean Deviation | 0.4382 | |||

Semi Deviation | 0.4695 | |||

Downside Deviation | 0.5816 | |||

Coefficient Of Variation | 1158.74 | |||

Standard Deviation | 0.5652 | |||

Variance | 0.3194 | |||

Information Ratio | (0.07) | |||

Jensen Alpha | 0.0334 | |||

Total Risk Alpha | (0.02) | |||

Sortino Ratio | (0.06) | |||

Treynor Ratio | 0.5531 | |||

Maximum Drawdown | 2.3 | |||

Value At Risk | (0.96) | |||

Potential Upside | 0.9153 | |||

Downside Variance | 0.3382 | |||

Semi Variance | 0.2204 | |||

Expected Short fall | (0.53) | |||

Skewness | (0.19) | |||

Kurtosis | 0.3628 |

## Other Information on Investing in SQBFX Etf

X Square financial ratios help investors to determine whether SQBFX Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SQBFX with respect to the benefits of owning X Square security.