Smartetfs Smart Transportation Etf Technical Analysis

MOTO Etf  USD 57.98  1.70  3.02%   
As of the 6th of February, SmartETFs Smart has the Risk Adjusted Performance of 0.0734, semi deviation of 1.22, and Coefficient Of Variation of 1144.96. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SmartETFs Smart Tran, as well as the relationship between them.

SmartETFs Smart Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SmartETFs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartETFsSmartETFs Smart'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.
The market value of SmartETFs Smart Tran is measured differently than its book value, which is the value of SmartETFs that is recorded on the company's balance sheet. Investors also form their own opinion of SmartETFs Smart's value that differs from its market value or its book value, called intrinsic value, which is SmartETFs Smart's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because SmartETFs Smart's market value can be influenced by many factors that don't directly affect SmartETFs Smart's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that SmartETFs Smart's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether SmartETFs Smart represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, SmartETFs Smart's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.

SmartETFs Smart '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 SmartETFs Smart'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 SmartETFs Smart.
0.00
11/08/2025
No Change 0.00  0.0 
In 3 months and 1 day
02/06/2026
0.00
If you would invest  0.00  in SmartETFs Smart on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding SmartETFs Smart Transportation or generate 0.0% return on investment in SmartETFs Smart over 90 days. SmartETFs Smart is related to or competes with AdvisorShares Vice, Harbor ETF, First Trust, IShares ESG, Bank of Montreal, Starboard Investment, and ProShares MSCI. The fund invests in publicly-traded equity securities of domestic or foreign companies that are involved in the developm... More

SmartETFs Smart 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 SmartETFs Smart'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 SmartETFs Smart Transportation upside and downside potential and time the market with a certain degree of confidence.

SmartETFs Smart Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SmartETFs Smart's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SmartETFs Smart's standard deviation. In reality, there are many statistical measures that can use SmartETFs Smart historical prices to predict the future SmartETFs Smart's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SmartETFs Smart's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
55.1756.3457.51
Details
Intrinsic
Valuation
LowRealHigh
54.4355.6056.77
Details
Naive
Forecast
LowNextHigh
52.9454.1155.28
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
50.8854.7358.57
Details

SmartETFs Smart February 6, 2026 Technical Indicators

SmartETFs Smart Tran Backtested Returns

As of now, SmartETFs Etf is very steady. SmartETFs Smart Tran owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0873, which indicates the etf had a 0.0873 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for SmartETFs Smart Transportation, which you can use to evaluate the volatility of the etf. Please validate SmartETFs Smart's Semi Deviation of 1.22, risk adjusted performance of 0.0734, and Coefficient Of Variation of 1144.96 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity has a beta of 0.87, which indicates possible diversification benefits within a given portfolio. SmartETFs Smart returns are very sensitive to returns on the market. As the market goes up or down, SmartETFs Smart is expected to follow.

Auto-correlation

    
  0.56  

Modest predictability

SmartETFs Smart Transportation has modest predictability. Overlapping area represents the amount of predictability between SmartETFs Smart time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 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 SmartETFs Smart Tran price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current SmartETFs Smart price fluctuation can be explain by its past prices.
Correlation Coefficient0.56
Spearman Rank Test0.34
Residual Average0.0
Price Variance2.34
SmartETFs Smart 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.
A focus of SmartETFs Smart technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SmartETFs Smart trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

SmartETFs Smart Tran Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was fifty with a total number of output elements of eleven. 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 SmartETFs Smart Tran volatility. High ATR values indicate high volatility, and low values indicate low volatility.

About SmartETFs Smart 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 SmartETFs Smart Transportation 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 SmartETFs Smart Transportation based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SmartETFs Smart Tran price pattern first instead of the macroeconomic environment surrounding SmartETFs Smart Tran. By analyzing SmartETFs Smart'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 SmartETFs Smart'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 SmartETFs Smart specific price patterns or momentum indicators. Please read more on our technical analysis page.

SmartETFs Smart February 6, 2026 Technical Indicators

Most technical analysis of SmartETFs 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 SmartETFs from various momentum indicators to cycle indicators. When you analyze SmartETFs 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.

SmartETFs Smart February 6, 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 SmartETFs 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.
When determining whether SmartETFs Smart Tran offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SmartETFs Smart's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Smartetfs Smart Transportation Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Smartetfs Smart Transportation Etf:
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in SmartETFs Smart Transportation. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in poverty.
You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
The market value of SmartETFs Smart Tran is measured differently than its book value, which is the value of SmartETFs that is recorded on the company's balance sheet. Investors also form their own opinion of SmartETFs Smart's value that differs from its market value or its book value, called intrinsic value, which is SmartETFs Smart's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because SmartETFs Smart's market value can be influenced by many factors that don't directly affect SmartETFs Smart's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Understanding that SmartETFs Smart's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether SmartETFs Smart represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Meanwhile, SmartETFs Smart's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.