Scisparc Stock Technical Analysis

SPRC Stock  USD 0.24  0.01  4.00%   
As of the 26th of November, Scisparc has the Risk Adjusted Performance of (0.05), variance of 37.96, and Coefficient Of Variation of (1,359). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Scisparc, as well as the relationship between them.

Scisparc Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Scisparc, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Scisparc
  
Scisparc'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.
Scisparc technical stock 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, stock market cycles, or different charting patterns.
A focus of Scisparc technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Scisparc 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...

Scisparc Technical Analysis

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The output start index for this execution was twelve with a total number of output elements of fourty-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 Scisparc volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Scisparc Trend Analysis

Use this graph to draw trend lines for Scisparc. You can use it to identify possible trend reversals for Scisparc 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 Scisparc price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

Scisparc Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Scisparc applied against its price change over selected period. The best fit line has a slop of   0.0013  , which may suggest that Scisparc market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.06, which is the sum of squared deviations for the predicted Scisparc price change compared to its average price change.

About Scisparc 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 Scisparc 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 Scisparc based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Scisparc price pattern first instead of the macroeconomic environment surrounding Scisparc. By analyzing Scisparc'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 Scisparc'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 Scisparc specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2021 2022 2023 2024 (projected)
Graham Number413.63110.2183.4544.85
Receivables Turnover0.428.0210.0310.53

Scisparc November 26, 2024 Technical Indicators

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

Scisparc November 26, 2024 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 Scisparc 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.

Complementary Tools for Scisparc Stock analysis

When running Scisparc's price analysis, check to measure Scisparc's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Scisparc is operating at the current time. Most of Scisparc's value examination focuses on studying past and present price action to predict the probability of Scisparc's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Scisparc's price. Additionally, you may evaluate how the addition of Scisparc to your portfolios can decrease your overall portfolio volatility.
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