Agent Information Pink Sheet Forecast - Naive Prediction
| AIFSDelisted Stock | USD 1.11 0.00 0.00% |
Agent Pink Sheet outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Agent Information's share price is below 20 . This suggests that the pink sheet is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Agent Information hype-based prediction, you can estimate the value of Agent Information Software from the perspective of Agent Information response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Agent Information Software on the next trading day is expected to be 1.14 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.59. Agent Information after-hype prediction price | USD 1.11 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Agent |
Agent Information Additional Predictive Modules
Most predictive techniques to examine Agent price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Agent using various technical indicators. When you analyze Agent charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Agent Information Naive Prediction Price Forecast For the 30th of January
Given 90 days horizon, the Naive Prediction forecasted value of Agent Information Software on the next trading day is expected to be 1.14 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.59.Please note that although there have been many attempts to predict Agent Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Agent Information's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Agent Information Pink Sheet Forecast Pattern
| Backtest Agent Information | Agent Information Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Agent Information pink sheet data series using in forecasting. Note that when a statistical model is used to represent Agent Information pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 109.5422 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0097 |
| MAPE | Mean absolute percentage error | 0.0083 |
| SAE | Sum of the absolute errors | 0.5926 |
Predictive Modules for Agent Information
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Agent Information. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Agent Information After-Hype Price Density Analysis
As far as predicting the price of Agent Information at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Agent Information or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Agent Information, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Agent Information Estimiated After-Hype Price Volatility
In the context of predicting Agent Information's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Agent Information's historical news coverage. Agent Information's after-hype downside and upside margins for the prediction period are 1.11 and 1.11, respectively. We have considered Agent Information's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Agent Information is very steady at this time. Analysis and calculation of next after-hype price of Agent Information is based on 3 months time horizon.
Agent Information Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Agent Information is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Agent Information backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Agent Information, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.00 | 0.00 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.11 | 1.11 | 0.00 |
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Agent Information Hype Timeline
Agent Information is presently traded for 1.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Agent is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at 0.0%. %. The volatility of related hype on Agent Information is about 0.0%, with the expected price after the next announcement by competition of 1.11. The company has price-to-book (P/B) ratio of 1.21. Some equities with similar Price to Book (P/B) outperform the market in the long run. Agent Information recorded a loss per share of 0.02. The entity last dividend was issued on the 14th of June 2022. The firm had 3:1 split on the 28th of February 2000. Given the investment horizon of 90 days the next forecasted press release will be in 5 to 10 days. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price.Agent Information Related Hype Analysis
Having access to credible news sources related to Agent Information's direct competition is more important than ever and may enhance your ability to predict Agent Information's future price movements. Getting to know how Agent Information's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Agent Information may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TRIRF | Triterras | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FLXI | FlexiInternational Software | 0.00 | 0 per month | 0.00 | 0.18 | 0.00 | 0.00 | 14.29 | |
| TRIQ | TraqIQ Inc | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LVTSF | LiveTiles Limited | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| VSBGF | VSBLTY Groupe Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| FNTTF | Fantasy 360 Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PSFT | Powersafe Technology Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MYCLF | Gallagher Security Corp | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| DVPNF | VPN Technologies | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| BYFMF | Sprout AI | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Agent Information Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Agent Information pink sheet to make a market-neutral strategy. Peer analysis of Agent Information could also be used in its relative valuation, which is a method of valuing Agent Information by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Agent Information Market Strength Events
Market strength indicators help investors to evaluate how Agent Information pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Agent Information shares will generate the highest return on investment. By undertsting and applying Agent Information pink sheet market strength indicators, traders can identify Agent Information Software entry and exit signals to maximize returns.
Agent Information Risk Indicators
The analysis of Agent Information's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Agent Information's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting agent pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.7292 | |||
| Standard Deviation | 2.03 | |||
| Variance | 4.1 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Agent Information
The number of cover stories for Agent Information depends on current market conditions and Agent Information's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Agent Information is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Agent Information's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Agent Information Short Properties
Agent Information's future price predictability will typically decrease when Agent Information's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Agent Information Software often depends not only on the future outlook of the potential Agent Information's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Agent Information's indicators that are reflective of the short sentiment are summarized in the table below.
| Dividends Paid | 157.3 K | |
| Forward Annual Dividend Rate | 0.04 |
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in price. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Other Consideration for investing in Agent Pink Sheet
If you are still planning to invest in Agent Information check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Agent Information's history and understand the potential risks before investing.
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