Princeton Adaptive Premium Fund Price History
PAPIX Fund | USD 10.12 0.01 0.1% |
If you're considering investing in Princeton Mutual Fund, it is important to understand the factors that can impact its price. As of today, the current price of Princeton Adaptive stands at 10.12, as last reported on the 15th of December 2024, with the highest price reaching 10.12 and the lowest price hitting 10.12 during the day. Princeton Adaptive maintains Sharpe Ratio (i.e., Efficiency) of -0.0497, which implies the entity had a -0.0497% return per unit of risk over the last 3 months. Princeton Adaptive exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Princeton Adaptive's Risk Adjusted Performance of (0.05), variance of 0.1221, and Coefficient Of Variation of (2,026) to confirm the risk estimate we provide.
Princeton Mutual Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
Princeton |
Sharpe Ratio = -0.0497
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | ||||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns | PAPIX |
Estimated Market Risk
0.35 actual daily | 3 97% of assets are more volatile |
Expected Return
-0.02 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.05 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Princeton Adaptive is not performing at its full potential. However, 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 Princeton Adaptive by adding Princeton Adaptive to a well-diversified portfolio.
Princeton Adaptive Mutual Fund Price History Chart
There are several ways to analyze Princeton Adaptive Premium Fund price data. The simplest method is using a basic Princeton candlestick price chart, which shows Princeton Adaptive 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 | December 3, 2024 | 10.4 |
Lowest Price | December 9, 2024 | 10.11 |
Princeton Adaptive December 15, 2024 Mutual Fund Price Synopsis
Various analyses of Princeton Adaptive's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Princeton Mutual Fund. It can be used to describe the percentage change in the price of Princeton Adaptive from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Princeton Mutual Fund.Princeton Adaptive Price Rate Of Daily Change | 1.00 |
Princeton Adaptive December 15, 2024 Mutual Fund Price Analysis
Princeton Mutual Fund Price History Data
The price series of Princeton Adaptive for the period between Mon, Sep 16, 2024 and Sun, Dec 15, 2024 has a statistical range of 0.29 with a coefficient of variation of 0.73. The price distribution for the period has arithmetic mean of 10.31. The median price for the last 90 days is 10.33.Open | High | Low | Close | Volume | ||
12/15/2024 | 10.12 | 10.12 | 10.12 | 10.12 | ||
12/13/2024 | 10.12 | 10.12 | 10.12 | 10.12 | 1.00 | |
12/12/2024 | 10.12 | 10.12 | 10.12 | 10.12 | 1.00 | |
12/11/2024 | 10.11 | 10.11 | 10.11 | 10.11 | 1.00 | |
12/10/2024 | 10.12 | 10.12 | 10.12 | 10.12 | 1.00 | |
12/09/2024 | 10.11 | 10.11 | 10.11 | 10.11 | 1.00 | |
12/06/2024 | 10.40 | 10.40 | 10.40 | 10.40 | 1.00 | |
12/05/2024 | 10.40 | 10.40 | 10.40 | 10.40 | 1.00 | |
12/04/2024 | 10.40 | 10.40 | 10.40 | 10.40 | 1.00 | |
12/03/2024 | 10.40 | 10.40 | 10.40 | 10.40 | 1.00 | |
12/02/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/29/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/27/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/26/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/25/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/22/2024 | 10.39 | 10.39 | 10.39 | 10.39 | 1.00 | |
11/21/2024 | 10.38 | 10.38 | 10.38 | 10.38 | 1.00 | |
11/20/2024 | 10.38 | 10.38 | 10.38 | 10.38 | 1.00 | |
11/19/2024 | 10.38 | 10.38 | 10.38 | 10.38 | 1.00 | |
11/18/2024 | 10.38 | 10.38 | 10.38 | 10.38 | 1.00 | |
11/15/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/14/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/13/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/12/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/11/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/08/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/07/2024 | 10.37 | 10.37 | 10.37 | 10.37 | 1.00 | |
11/06/2024 | 10.36 | 10.36 | 10.36 | 10.36 | 1.00 | |
11/05/2024 | 10.36 | 10.36 | 10.36 | 10.36 | 1.00 | |
11/04/2024 | 10.36 | 10.36 | 10.36 | 10.36 | 1.00 | |
11/01/2024 | 10.36 | 10.36 | 10.36 | 10.36 | 1.00 | |
10/31/2024 | 10.35 | 10.35 | 10.35 | 10.35 | 1.00 | |
10/30/2024 | 10.35 | 10.35 | 10.35 | 10.35 | 1.00 | |
10/29/2024 | 10.34 | 10.34 | 10.34 | 10.34 | 1.00 | |
10/28/2024 | 10.34 | 10.34 | 10.34 | 10.34 | 1.00 | |
10/25/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/24/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/23/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/22/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/21/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/18/2024 | 10.33 | 10.33 | 10.33 | 10.33 | 1.00 | |
10/17/2024 | 10.32 | 10.32 | 10.32 | 10.32 | 1.00 | |
10/16/2024 | 10.32 | 10.32 | 10.32 | 10.32 | 1.00 | |
10/15/2024 | 10.32 | 10.32 | 10.32 | 10.32 | 1.00 | |
10/14/2024 | 10.31 | 10.31 | 10.31 | 10.31 | 1.00 | |
10/11/2024 | 10.31 | 10.31 | 10.31 | 10.31 | 1.00 | |
10/10/2024 | 10.30 | 10.30 | 10.30 | 10.30 | 1.00 | |
10/09/2024 | 10.30 | 10.30 | 10.30 | 10.30 | 1.00 | |
10/08/2024 | 10.30 | 10.30 | 10.30 | 10.30 | 1.00 | |
10/07/2024 | 10.29 | 10.29 | 10.29 | 10.29 | 1.00 | |
10/04/2024 | 10.28 | 10.28 | 10.28 | 10.28 | 1.00 | |
10/03/2024 | 10.28 | 10.28 | 10.28 | 10.28 | 1.00 | |
10/02/2024 | 10.28 | 10.28 | 10.28 | 10.28 | 1.00 | |
10/01/2024 | 10.27 | 10.27 | 10.27 | 10.27 | 1.00 | |
09/30/2024 | 10.27 | 10.27 | 10.27 | 10.27 | 1.00 | |
09/27/2024 | 10.27 | 10.27 | 10.27 | 10.27 | 1.00 | |
09/26/2024 | 10.27 | 10.27 | 10.27 | 10.27 | 1.00 | |
09/25/2024 | 10.27 | 10.27 | 10.27 | 10.27 | 1.00 | |
09/24/2024 | 10.26 | 10.26 | 10.26 | 10.26 | 1.00 | |
09/23/2024 | 10.26 | 10.26 | 10.26 | 10.26 | 1.00 | |
09/20/2024 | 10.26 | 10.26 | 10.26 | 10.26 | 1.00 |
About Princeton Adaptive Mutual Fund history
Princeton Adaptive 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 Princeton is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Princeton Adaptive 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 Princeton Adaptive stock prices may prove useful in developing a viable investing in Princeton Adaptive
The Advisor intends to utilize two principal investment strategies 1 a premium collection strategy involving sale or purchase of put options on the SP 500 Index and 2 investing in fixed income securities. Under normal market conditions, the adviser intends to allocate between 30 percent to 100 percent of the funds net assets to the premium collection strategy at any given time. It may also invest a substantial portion of its assets in U.S. Treasury bonds, high-quality short-term debt securities and money market instruments, to maintain liquidity for shareholder redemptions, or to respond to adverse conditions.
Princeton Adaptive Mutual Fund Technical Analysis
Princeton Adaptive 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.
Did you try this?
Run Commodity Directory Now
Commodity DirectoryFind actively traded commodities issued by global exchanges |
All Next | Launch Module |
Princeton Adaptive Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Princeton Adaptive's price direction in advance. Along with the technical and fundamental analysis of Princeton Mutual Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of Princeton 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 | (0.05) | |||
Jensen Alpha | (0.03) | |||
Total Risk Alpha | (0.07) | |||
Treynor Ratio | (0.58) |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in Princeton Mutual Fund
Princeton Adaptive financial ratios help investors to determine whether Princeton 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 Princeton with respect to the benefits of owning Princeton Adaptive security.
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
FinTech Suite Use AI to screen and filter profitable investment opportunities |