Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SavvyLong, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SavvyLong
SavvyLong
SavvyLong Constellation'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.
SavvyLong Constellation '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 SavvyLong Constellation'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 SavvyLong Constellation.
0.00
11/03/2025
No Change 0.00
0.0
In 2 months and 31 days
02/01/2026
0.00
If you would invest 0.00 in SavvyLong Constellation on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding SavvyLong Constellation Software or generate 0.0% return on investment in SavvyLong Constellation over 90 days.
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure SavvyLong Constellation'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 SavvyLong Constellation Software upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for SavvyLong Constellation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SavvyLong Constellation's standard deviation. In reality, there are many statistical measures that can use SavvyLong Constellation historical prices to predict the future SavvyLong Constellation's volatility.
SavvyLong Constellation owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.27, which indicates the etf had a -0.27 % return per unit of risk over the last 3 months. SavvyLong Constellation Software exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SavvyLong Constellation's Risk Adjusted Performance of (0.19), variance of 19.34, and Coefficient Of Variation of (358.83) to confirm the risk estimate we provide. The entity has a beta of 0.79, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SavvyLong Constellation's returns are expected to increase less than the market. However, during the bear market, the loss of holding SavvyLong Constellation is expected to be smaller as well.
Auto-correlation
0.31
Below average predictability
SavvyLong Constellation Software has below average predictability. Overlapping area represents the amount of predictability between SavvyLong Constellation time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st 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 SavvyLong Constellation price movement. The serial correlation of 0.31 indicates that nearly 31.0% of current SavvyLong Constellation price fluctuation can be explain by its past prices.
Correlation Coefficient
0.31
Spearman Rank Test
0.37
Residual Average
0.0
Price Variance
7.04
SavvyLong Constellation 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 SavvyLong Constellation technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SavvyLong Constellation 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...
SavvyLong Constellation Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 SavvyLong Constellation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SavvyLong Constellation February 1, 2026 Technical Indicators
Most technical analysis of SavvyLong 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 SavvyLong from various momentum indicators to cycle indicators. When you analyze SavvyLong 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.
SavvyLong Constellation February 1, 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 SavvyLong 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.