Guidepath Tactical Allocation Fund Price History
GPTUX Fund | USD 15.16 0.03 0.20% |
Below is the normalized historical share price chart for Guidepath Tactical Allocation extending back to April 29, 2011. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Guidepath(r) Tactical stands at 15.16, as last reported on the 4th of December, with the highest price reaching 15.16 and the lowest price hitting 15.16 during the day.
If you're considering investing in Guidepath(r) Mutual Fund, it is important to understand the factors that can impact its price. At this stage we consider Guidepath(r) Mutual Fund to be very steady. Guidepath(r) Tactical holds Efficiency (Sharpe) Ratio of 0.24, which attests that the entity had a 0.24% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Guidepath(r) Tactical, which you can use to evaluate the volatility of the entity. Please check out Guidepath(r) Tactical's Risk Adjusted Performance of 0.1251, downside deviation of 0.727, and Market Risk Adjusted Performance of 0.1533 to validate if the risk estimate we provide is consistent with the expected return of 0.16%.
Guidepath(r) Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Guidepath(r) |
Sharpe Ratio = 0.2355
Best Portfolio | Best Equity | |||
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Cash | Small Risk | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
0.69 actual daily | 6 94% of assets are more volatile |
Expected Return
0.16 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
0.24 actual daily | 18 82% of assets perform better |
Based on monthly moving average Guidepath(r) Tactical is performing at about 18% 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 Guidepath(r) Tactical by adding it to a well-diversified portfolio.
Guidepath(r) Tactical Mutual Fund Price History Chart
There are several ways to analyze Guidepath Tactical Allocation Fund price data. The simplest method is using a basic Guidepath(r) candlestick price chart, which shows Guidepath(r) Tactical 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 | November 29, 2024 | 15.21 |
Lowest Price | September 10, 2024 | 13.7 |
Guidepath(r) Tactical December 4, 2024 Mutual Fund Price Synopsis
Various analyses of Guidepath(r) Tactical's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Guidepath(r) Mutual Fund. It can be used to describe the percentage change in the price of Guidepath(r) Tactical from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Guidepath(r) Mutual Fund.Guidepath(r) Tactical Price Rate Of Daily Change | 1.00 | |
Guidepath(r) Tactical Price Action Indicator | (0.01) |
Guidepath(r) Tactical December 4, 2024 Mutual Fund Price Analysis
Guidepath(r) Mutual Fund Price History Data
The price series of Guidepath(r) Tactical for the period between Thu, Sep 5, 2024 and Wed, Dec 4, 2024 has a statistical range of 1.63 with a coefficient of variation of 2.87. Under current investment horizon, the daily prices are spread out with arithmetic mean of 14.5. The median price for the last 90 days is 14.51. The company completed dividends distribution on 12/27/2019.Open | High | Low | Close | Volume | ||
12/04/2024 | 15.16 | 15.16 | 15.16 | 15.16 | ||
12/03/2024 | 15.16 | 15.16 | 15.16 | 15.16 | 1.00 | |
12/02/2024 | 15.19 | 15.19 | 15.19 | 15.19 | 1.00 | |
11/29/2024 | 15.21 | 15.21 | 15.21 | 15.21 | 1.00 | |
11/27/2024 | 15.14 | 15.14 | 15.14 | 15.14 | 1.00 | |
11/26/2024 | 15.20 | 15.20 | 15.20 | 15.20 | 1.00 | |
11/25/2024 | 15.06 | 15.06 | 15.06 | 15.06 | 1.00 | |
11/22/2024 | 14.97 | 14.97 | 14.97 | 14.97 | 1.00 | |
11/21/2024 | 14.94 | 14.94 | 14.94 | 14.94 | 1.00 | |
11/20/2024 | 14.82 | 14.82 | 14.82 | 14.82 | 1.00 | |
11/19/2024 | 14.80 | 14.80 | 14.80 | 14.80 | 1.00 | |
11/18/2024 | 14.74 | 14.74 | 14.74 | 14.74 | 1.00 | |
11/15/2024 | 14.69 | 14.69 | 14.69 | 14.69 | 1.00 | |
11/14/2024 | 14.81 | 14.81 | 14.81 | 14.81 | 1.00 | |
11/13/2024 | 14.92 | 14.92 | 14.92 | 14.92 | 1.00 | |
11/12/2024 | 14.96 | 14.96 | 14.96 | 14.96 | 1.00 | |
11/11/2024 | 15.04 | 15.04 | 15.04 | 15.04 | 1.00 | |
11/08/2024 | 15.05 | 15.05 | 15.05 | 15.05 | 1.00 | |
11/07/2024 | 14.91 | 14.91 | 14.91 | 14.91 | 1.00 | |
11/06/2024 | 14.77 | 14.77 | 14.77 | 14.77 | 1.00 | |
11/05/2024 | 14.47 | 14.47 | 14.47 | 14.47 | 1.00 | |
11/04/2024 | 14.21 | 14.21 | 14.21 | 14.21 | 1.00 | |
11/01/2024 | 14.21 | 14.21 | 14.21 | 14.21 | 1.00 | |
10/31/2024 | 14.23 | 14.23 | 14.23 | 14.23 | 1.00 | |
10/30/2024 | 14.50 | 14.50 | 14.50 | 14.50 | 1.00 | |
10/29/2024 | 14.51 | 14.51 | 14.51 | 14.51 | 1.00 | |
10/28/2024 | 14.57 | 14.57 | 14.57 | 14.57 | 1.00 | |
10/25/2024 | 14.49 | 14.49 | 14.49 | 14.49 | 1.00 | |
10/24/2024 | 14.57 | 14.57 | 14.57 | 14.57 | 1.00 | |
10/23/2024 | 14.52 | 14.52 | 14.52 | 14.52 | 1.00 | |
10/22/2024 | 14.63 | 14.63 | 14.63 | 14.63 | 1.00 | |
10/21/2024 | 14.73 | 14.73 | 14.73 | 14.73 | 1.00 | |
10/18/2024 | 14.81 | 14.81 | 14.81 | 14.81 | 1.00 | |
10/17/2024 | 14.76 | 14.76 | 14.76 | 14.76 | 1.00 | |
10/16/2024 | 14.77 | 14.77 | 14.77 | 14.77 | 1.00 | |
10/15/2024 | 14.66 | 14.66 | 14.66 | 14.66 | 1.00 | |
10/14/2024 | 14.74 | 14.74 | 14.74 | 14.74 | 1.00 | |
10/11/2024 | 14.60 | 14.60 | 14.60 | 14.60 | 1.00 | |
10/10/2024 | 14.49 | 14.49 | 14.49 | 14.49 | 1.00 | |
10/09/2024 | 14.51 | 14.51 | 14.51 | 14.51 | 1.00 | |
10/08/2024 | 14.48 | 14.48 | 14.48 | 14.48 | 1.00 | |
10/07/2024 | 14.36 | 14.36 | 14.36 | 14.36 | 1.00 | |
10/04/2024 | 14.57 | 14.57 | 14.57 | 14.57 | 1.00 | |
10/03/2024 | 14.46 | 14.46 | 14.46 | 14.46 | 1.00 | |
10/02/2024 | 14.46 | 14.46 | 14.46 | 14.46 | 1.00 | |
10/01/2024 | 14.47 | 14.47 | 14.47 | 14.47 | 1.00 | |
09/30/2024 | 14.49 | 14.49 | 14.49 | 14.49 | 1.00 | |
09/27/2024 | 14.41 | 14.41 | 14.41 | 14.41 | 1.00 | |
09/26/2024 | 14.35 | 14.35 | 14.35 | 14.35 | 1.00 | |
09/25/2024 | 14.33 | 14.33 | 14.33 | 14.33 | 1.00 | |
09/24/2024 | 14.33 | 14.33 | 14.33 | 14.33 | 1.00 | |
09/23/2024 | 14.35 | 14.35 | 14.35 | 14.35 | 1.00 | |
09/20/2024 | 14.31 | 14.31 | 14.31 | 14.31 | 1.00 | |
09/19/2024 | 14.26 | 14.26 | 14.26 | 14.26 | 1.00 | |
09/18/2024 | 14.11 | 14.11 | 14.11 | 14.11 | 1.00 | |
09/17/2024 | 14.14 | 14.14 | 14.14 | 14.14 | 1.00 | |
09/16/2024 | 14.10 | 14.10 | 14.10 | 14.10 | 1.00 | |
09/13/2024 | 14.02 | 14.02 | 14.02 | 14.02 | 1.00 | |
09/12/2024 | 13.87 | 13.87 | 13.87 | 13.87 | 1.00 | |
09/11/2024 | 13.75 | 13.75 | 13.75 | 13.75 | 1.00 | |
09/10/2024 | 13.70 | 13.70 | 13.70 | 13.70 | 1.00 |
About Guidepath(r) Tactical Mutual Fund history
Guidepath(r) Tactical 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 Guidepath(r) is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Guidepath(r) Tactical 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 Guidepath(r) Tactical stock prices may prove useful in developing a viable investing in Guidepath(r) Tactical
In seeking to maximize total return, under normal circumstances, the funds assets are allocated into a diversified portfolio consisting of domestic and international equity securities and Global Depositary Receipts , domestic and international fixed income securities, exchange-traded funds , mutual funds and cash equivalent money market securities.
Guidepath(r) Tactical Mutual Fund Technical Analysis
Guidepath(r) Tactical technical mutual fund 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, fund market cycles, or different charting patterns.
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Guidepath(r) Tactical Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Guidepath(r) Tactical's price direction in advance. Along with the technical and fundamental analysis of Guidepath(r) Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Guidepath(r) 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 | 0.1251 | |||
Jensen Alpha | 0.0304 | |||
Total Risk Alpha | 0.0111 | |||
Sortino Ratio | 0.0077 | |||
Treynor Ratio | 0.1433 |
Cycle Indicators | ||
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Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Guidepath(r) Mutual Fund
Guidepath(r) Tactical financial ratios help investors to determine whether Guidepath(r) Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Guidepath(r) with respect to the benefits of owning Guidepath(r) Tactical security.
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
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