Fuelstream Stock Market Value
FLST Stock | USD 0.0001 0.00 0.00% |
Symbol | Fuelstream |
Fuelstream '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 Fuelstream's pink sheet 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 Fuelstream.
11/19/2024 |
| 12/19/2024 |
If you would invest 0.00 in Fuelstream on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding Fuelstream or generate 0.0% return on investment in Fuelstream over 30 days. Fuelstream is related to or competes with Energy Transfer, Kinder Morgan, MPLX LP, and Enbridge. Fuelstream, Inc. supplies and distributes aviation fuel to corporate, commercial, military, and privately owned aircraft... More
Fuelstream 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 Fuelstream's pink sheet 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 Fuelstream upside and downside potential and time the market with a certain degree of confidence.
Fuelstream Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fuelstream's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fuelstream's standard deviation. In reality, there are many statistical measures that can use Fuelstream historical prices to predict the future Fuelstream's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fuelstream'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.
Fuelstream Backtested Returns
We have found three technical indicators for Fuelstream, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Fuelstream are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Fuelstream has no correlation between past and present. Overlapping area represents the amount of predictability between Fuelstream time series from 19th of November 2024 to 4th of December 2024 and 4th of December 2024 to 19th of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Fuelstream price movement. The serial correlation of 0.0 indicates that just 0.0% of current Fuelstream price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.0 | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Fuelstream lagged returns against current returns
Autocorrelation, which is Fuelstream pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Fuelstream's pink sheet expected returns. We can calculate the autocorrelation of Fuelstream returns to help us make a trade decision. For example, suppose you find that Fuelstream has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Fuelstream regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Fuelstream pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fuelstream pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fuelstream pink sheet over time.
Current vs Lagged Prices |
Timeline |
Fuelstream Lagged Returns
When evaluating Fuelstream's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fuelstream pink sheet have on its future price. Fuelstream autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Fuelstream autocorrelation shows the relationship between Fuelstream pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Fuelstream.
Regressed Prices |
Timeline |
Thematic Opportunities
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Additional Tools for Fuelstream Pink Sheet Analysis
When running Fuelstream's price analysis, check to measure Fuelstream'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 Fuelstream is operating at the current time. Most of Fuelstream's value examination focuses on studying past and present price action to predict the probability of Fuelstream's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fuelstream's price. Additionally, you may evaluate how the addition of Fuelstream to your portfolios can decrease your overall portfolio volatility.