Vast Renewables Limited Stock Technical Analysis

VSTE Stock  USD 2.07  0.20  10.70%   
As of the 28th of November, Vast Renewables has the Semi Deviation of 9.41, coefficient of variation of 861.6, and Risk Adjusted Performance of 0.0986. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Vast Renewables, as well as the relationship between them. Please validate Vast Renewables jensen alpha and downside variance to decide if Vast Renewables is priced more or less accurately, providing market reflects its prevalent price of 2.07 per share. Please also confirm Vast Renewables Limited total risk alpha, which is currently at (0.89) to double-check the company can sustain itself at a future point.

Vast Renewables Momentum Analysis

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

Vast Renewables Technical Analysis

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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Vast Renewables volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Vast Renewables Trend Analysis

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

Vast Renewables Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Vast Renewables Limited applied against its price change over selected period. The best fit line has a slop of   0.02  , which means Vast Renewables Limited will continue generating value for investors. It has 122 observation points and a regression sum of squares at 21.08, which is the sum of squared deviations for the predicted Vast Renewables price change compared to its average price change.

About Vast Renewables 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 Vast Renewables Limited 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 Vast Renewables Limited based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Vast Renewables price pattern first instead of the macroeconomic environment surrounding Vast Renewables. By analyzing Vast Renewables'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 Vast Renewables'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 Vast Renewables specific price patterns or momentum indicators. Please read more on our technical analysis page.
 2021 2022 2023 (projected)
Graham Number1.133.6513.96
Receivables Turnover0.210.280.41

Vast Renewables November 28, 2024 Technical Indicators

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

Complementary Tools for Vast Stock analysis

When running Vast Renewables' price analysis, check to measure Vast Renewables' 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 Vast Renewables is operating at the current time. Most of Vast Renewables' value examination focuses on studying past and present price action to predict the probability of Vast Renewables' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vast Renewables' price. Additionally, you may evaluate how the addition of Vast Renewables to your portfolios can decrease your overall portfolio volatility.
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