Agent Information Software Stock Price History
| AIFS Stock | USD 1.25 0.25 25.00% |
If you're considering investing in Agent Pink Sheet, it is important to understand the factors that can impact its price. As of today, the current price of Agent Information stands at 1.25, as last reported on the 26th of November, with the highest price reaching 1.25 and the lowest price hitting 1.25 during the day. Agent Information appears to be abnormally volatile, given 3 months investment horizon. Agent Information secures Sharpe Ratio (or Efficiency) of 0.0834, which signifies that the company had a 0.0834% return per unit of standard deviation over the last 3 months. By analyzing Agent Information's technical indicators, you can evaluate if the expected return of 0.71% is justified by implied risk. Please makes use of Agent Information's mean deviation of 3.97, and Risk Adjusted Performance of 0.0202 to double-check if our risk estimates are consistent with your expectations.
Agent Pink Sheet price history is provided at the adjusted basis, taking into account all of the recent filings.
Agent |
Sharpe Ratio = 0.0834
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | AIFS | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 8.56 actual daily | 76 76% of assets are less volatile |
Expected Return
| 0.71 actual daily | 14 86% of assets have higher returns |
Risk-Adjusted Return
| 0.08 actual daily | 6 94% of assets perform better |
Based on monthly moving average Agent Information is performing at about 6% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Agent Information by adding it to a well-diversified portfolio.
Agent Information Pink Sheet Price History Chart
There are several ways to analyze Agent Stock price data. The simplest method is using a basic Agent candlestick price chart, which shows Agent Information price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
| Highest Price | October 18, 2024 | 1.3 |
| Lowest Price | October 10, 2024 | 0.73 |
Agent Information November 26, 2024 Pink Sheet Price Synopsis
Various analyses of Agent Information's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Agent Pink Sheet. It can be used to describe the percentage change in the price of Agent Information from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Agent Pink Sheet.| Agent Information Price Action Indicator | 0.13 | |
| Agent Information Price Rate Of Daily Change | 1.25 |
Agent Information November 26, 2024 Pink Sheet Price Analysis
Agent Pink Sheet Price History Data
The price series of Agent Information for the period between Wed, Aug 28, 2024 and Tue, Nov 26, 2024 has a statistical range of 0.77 with a coefficient of variation of 16.31. The prices are distributed with arithmetic mean of 1.1. The median price for the last 90 days is 1.05. The company had 3:1 stock split on 28th of February 2000. Agent Information issued dividends on 2022-06-14.| Open | High | Low | Close | Volume | ||
11/26/2024 | 1.25 | 1.25 | 1.25 | 1.25 | ||
| 11/22/2024 | 1.25 | 1.25 | 1.25 | 1.25 | 280.00 | |
| 11/21/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/20/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/19/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/18/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/15/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/14/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 11/13/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 200.00 | |
| 11/12/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/11/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/08/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/07/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/06/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/05/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 200.00 | |
| 11/04/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 11/01/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/31/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/30/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/29/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/28/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/25/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/24/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/23/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/22/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/21/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 1.00 | |
| 10/18/2024 | 1.30 | 1.30 | 1.30 | 1.30 | 200.00 | |
| 10/17/2024 | 0.98 | 1.20 | 0.98 | 1.15 | 28,320 | |
| 10/16/2024 | 0.94 | 0.94 | 0.94 | 0.94 | 1.00 | |
| 10/15/2024 | 0.94 | 0.94 | 0.94 | 0.94 | 1.00 | |
| 10/14/2024 | 0.91 | 0.94 | 0.91 | 0.94 | 3,660 | |
| 10/11/2024 | 0.93 | 1.00 | 0.91 | 0.91 | 36,575 | |
| 10/10/2024 | 0.91 | 0.93 | 0.73 | 0.73 | 32,278 | |
| 10/09/2024 | 0.91 | 0.91 | 0.91 | 0.91 | 1,000.00 | |
| 10/08/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 10/07/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 10/04/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |
| 10/03/2024 | 1.00 | 1.00 | 1.00 | 1.00 | 600.00 | |
| 10/02/2024 | 0.78 | 0.78 | 0.78 | 0.78 | 1.00 | |
| 10/01/2024 | 0.78 | 0.78 | 0.78 | 0.78 | 1.00 | |
| 09/30/2024 | 0.78 | 0.78 | 0.78 | 0.78 | 1.00 | |
| 09/27/2024 | 0.78 | 0.78 | 0.78 | 0.78 | 341.00 | |
| 09/26/2024 | 1.07 | 1.07 | 1.07 | 1.07 | 1.00 | |
| 09/25/2024 | 1.01 | 1.07 | 1.01 | 1.07 | 340.00 | |
| 09/24/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/23/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/20/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/19/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/18/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/17/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/16/2024 | 1.05 | 1.05 | 1.05 | 1.05 | 1.00 | |
| 09/13/2024 | 1.01 | 1.01 | 1.01 | 1.01 | 1.00 | |
| 09/12/2024 | 1.01 | 1.01 | 1.01 | 1.01 | 1.00 | |
| 09/11/2024 | 1.01 | 1.01 | 1.01 | 1.01 | 1.00 | |
| 09/10/2024 | 1.01 | 1.01 | 1.01 | 1.01 | 178.00 | |
| 09/09/2024 | 1.11 | 1.11 | 0.97 | 1.02 | 1,000.00 | |
| 09/06/2024 | 1.03 | 1.03 | 1.03 | 1.03 | 1.00 | |
| 09/05/2024 | 1.03 | 1.03 | 1.03 | 1.03 | 1.00 | |
| 09/04/2024 | 1.30 | 1.30 | 1.07 | 1.07 | 278.00 | |
| 09/03/2024 | 1.10 | 1.10 | 1.10 | 1.10 | 1.00 | |
| 08/30/2024 | 1.10 | 1.10 | 1.10 | 1.10 | 2,000 |
About Agent Information Pink Sheet history
Agent Information investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Agent is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Agent Information will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Agent Information stock prices may prove useful in developing a viable investing in Agent Information
Agent Information Software, Inc., together with its subsidiaries, provides software products and services used to create, manage, publish, and access information content through Internet or Web. The company was founded in 1950 and is headquartered in Rancho Cucamonga, California. Agent Info operates under SoftwareApplication classification in the United States and is traded on OTC Exchange.
Agent Information Pink Sheet Technical Analysis
Agent Information 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.
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Agent Information Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Agent Information's price direction in advance. Along with the technical and fundamental analysis of Agent Pink Sheet historical price patterns, it is also worthwhile for investors to track various predictive indicators of Agent to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0202 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (1.30) | |||
| Sortino Ratio | (0.000054) | |||
| Treynor Ratio | 0.1154 |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Additional Tools for Agent Pink Sheet Analysis
When running Agent Information's price analysis, check to measure Agent Information'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 Agent Information is operating at the current time. Most of Agent Information's value examination focuses on studying past and present price action to predict the probability of Agent Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Agent Information's price. Additionally, you may evaluate how the addition of Agent Information to your portfolios can decrease your overall portfolio volatility.