X Square Balanced Etf Technical Analysis
| SQCBX Etf | USD 14.83 0.09 0.61% |
As of the 5th of March, X Square maintains the Market Risk Adjusted Performance of 0.1522, mean deviation of 0.4082, and Downside Deviation of 0.5463. 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 SQCBX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SQCBXX Square's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.X Square Balanced's market price often diverges from its book value, the accounting figure shown on SQCBX's balance sheet. Smart investors calculate X Square's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since X Square's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Please note, there is a significant difference between X Square's value and its price as these two are different measures arrived at by different means. Investors typically determine if X Square is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, X Square's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
X Square 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to X Square's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of X Square.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in X Square on December 5, 2025 and sell it all today you would earn a total of 0.00 from holding X Square Balanced or generate 0.0% return on investment in X Square over 90 days. X Square is related to or competes with SPDR Gold, JPMorgan BetaBuilders, SPDR Barclays, Schwab International, Listed Funds, Themes Transatlantic, and IShares Broad. The fund uses a balanced approach to invest in a broad range of securities, including common stocks and investment-grade... More
X Square Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure X Square's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess X Square Balanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5463 | |||
| Information Ratio | 0.0826 | |||
| Maximum Drawdown | 2.25 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 0.8439 |
X Square Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for X Square's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as X Square's standard deviation. In reality, there are many statistical measures that can use X Square historical prices to predict the future X Square's volatility.| Risk Adjusted Performance | 0.1209 | |||
| Jensen Alpha | 0.0589 | |||
| Total Risk Alpha | 0.0537 | |||
| Sortino Ratio | 0.0795 | |||
| Treynor Ratio | 0.1422 |
X Square March 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1209 | |||
| Market Risk Adjusted Performance | 0.1522 | |||
| Mean Deviation | 0.4082 | |||
| Semi Deviation | 0.3442 | |||
| Downside Deviation | 0.5463 | |||
| Coefficient Of Variation | 600.62 | |||
| Standard Deviation | 0.526 | |||
| Variance | 0.2767 | |||
| Information Ratio | 0.0826 | |||
| Jensen Alpha | 0.0589 | |||
| Total Risk Alpha | 0.0537 | |||
| Sortino Ratio | 0.0795 | |||
| Treynor Ratio | 0.1422 | |||
| Maximum Drawdown | 2.25 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 0.8439 | |||
| Downside Variance | 0.2984 | |||
| Semi Variance | 0.1185 | |||
| Expected Short fall | (0.45) | |||
| Skewness | 0.0597 | |||
| Kurtosis | (0.08) |
X Square Balanced Backtested Returns
At this stage we consider SQCBX Etf to be very steady. X Square Balanced shows Sharpe Ratio of 0.15, which attests that the etf had a 0.15 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for X Square Balanced, which you can use to evaluate the volatility of the entity. Please check out X Square's Mean Deviation of 0.4082, downside deviation of 0.5463, and Market Risk Adjusted Performance of 0.1522 to validate if the risk estimate we provide is consistent with the expected return of 0.0797%. The entity maintains a market beta of 0.55, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, X Square's returns are expected to increase less than the market. However, during the bear market, the loss of holding X Square is expected to be smaller as well.
Auto-correlation | 0.58 |
Modest predictability
X Square Balanced has modest predictability. Overlapping area represents the amount of predictability between X Square time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of X Square Balanced price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current X Square price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.58 | |
| Spearman Rank Test | 0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for X Square Balanced across different markets.
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 March 5, 2026 Technical Indicators
Most technical analysis of SQCBX 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 SQCBX from various momentum indicators to cycle indicators. When you analyze SQCBX 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 | 0.1209 | |||
| Market Risk Adjusted Performance | 0.1522 | |||
| Mean Deviation | 0.4082 | |||
| Semi Deviation | 0.3442 | |||
| Downside Deviation | 0.5463 | |||
| Coefficient Of Variation | 600.62 | |||
| Standard Deviation | 0.526 | |||
| Variance | 0.2767 | |||
| Information Ratio | 0.0826 | |||
| Jensen Alpha | 0.0589 | |||
| Total Risk Alpha | 0.0537 | |||
| Sortino Ratio | 0.0795 | |||
| Treynor Ratio | 0.1422 | |||
| Maximum Drawdown | 2.25 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 0.8439 | |||
| Downside Variance | 0.2984 | |||
| Semi Variance | 0.1185 | |||
| Expected Short fall | (0.45) | |||
| Skewness | 0.0597 | |||
| Kurtosis | (0.08) |
X Square March 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SQCBX stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 14.83 | ||
| Day Typical Price | 14.83 | ||
| Price Action Indicator | 0.04 |
Other Information on Investing in SQCBX Etf
X Square financial ratios help investors to determine whether SQCBX 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 SQCBX with respect to the benefits of owning X Square security.