Sligro Food Group Stock Market Value
| SIGRF Stock | 17.87 0.00 0.00% |
| Symbol | Sligro |
Sligro Food '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 Sligro Food'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 Sligro Food.
| 02/18/2024 |
| 05/18/2024 |
If you would invest 0.00 in Sligro Food on February 18, 2024 and sell it all today you would earn a total of 0.00 from holding Sligro Food Group or generate 0.0% return on investment in Sligro Food over 90 days.
Sligro Food 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 Sligro Food'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 Sligro Food Group upside and downside potential and time the market with a certain degree of confidence.
Sligro Food Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sligro Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sligro Food's standard deviation. In reality, there are many statistical measures that can use Sligro Food historical prices to predict the future Sligro Food's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sligro Food'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sligro Food. Your research has to be compared to or analyzed against Sligro Food's peers to derive any actionable benefits. When done correctly, Sligro Food's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sligro Food Group.
Sligro Food Group Backtested Returns
We have found three technical indicators for Sligro Food Group, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Sligro Food are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Sligro Food Group has perfect predictability. Overlapping area represents the amount of predictability between Sligro Food time series from 18th of February 2024 to 3rd of April 2024 and 3rd of April 2024 to 18th of May 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 Sligro Food Group price movement. The serial correlation of 1.0 indicates that 100.0% of current Sligro Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sligro Food Group lagged returns against current returns
Autocorrelation, which is Sligro Food 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 Sligro Food's pink sheet expected returns. We can calculate the autocorrelation of Sligro Food returns to help us make a trade decision. For example, suppose you find that Sligro Food 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 |
Sligro Food 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 Sligro Food pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sligro Food pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sligro Food pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Sligro Food Lagged Returns
When evaluating Sligro Food's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sligro Food pink sheet have on its future price. Sligro Food 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, Sligro Food autocorrelation shows the relationship between Sligro Food pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Sligro Food Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
Complementary Tools for Sligro Pink Sheet analysis
When running Sligro Food's price analysis, check to measure Sligro Food'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 Sligro Food is operating at the current time. Most of Sligro Food's value examination focuses on studying past and present price action to predict the probability of Sligro Food's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sligro Food's price. Additionally, you may evaluate how the addition of Sligro Food to your portfolios can decrease your overall portfolio volatility.
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |
Sligro Food technical pink sheet 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, pink sheet market cycles, or different charting patterns.