Pineapple Financial Stock Market Value
| PAPL Stock | 1.34 0.11 8.94% |
| Symbol | Pineapple |
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Pineapple Financial. If investors know Pineapple will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Pineapple Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Pineapple Financial is measured differently than its book value, which is the value of Pineapple that is recorded on the company's balance sheet. Investors also form their own opinion of Pineapple Financial's value that differs from its market value or its book value, called intrinsic value, which is Pineapple Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Pineapple Financial's market value can be influenced by many factors that don't directly affect Pineapple Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Pineapple Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pineapple Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pineapple Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Pineapple Financial '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 Pineapple Financial's stock 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 Pineapple Financial.
| 01/16/2024 |
| 01/05/2026 |
If you would invest 0.00 in Pineapple Financial on January 16, 2024 and sell it all today you would earn a total of 0.00 from holding Pineapple Financial or generate 0.0% return on investment in Pineapple Financial over 720 days. Pineapple Financial is related to or competes with Bolt Projects, Apollomics, Plum Acquisition, AMTD IDEA, Range Capital, ATIF Holdings, and Quantumsphere Acquisition. More
Pineapple Financial 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 Pineapple Financial's stock 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 Pineapple Financial upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.31) | |||
| Maximum Drawdown | 44.79 | |||
| Value At Risk | (11.88) | |||
| Potential Upside | 8.94 |
Pineapple Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pineapple Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pineapple Financial's standard deviation. In reality, there are many statistical measures that can use Pineapple Financial historical prices to predict the future Pineapple Financial's volatility.| Risk Adjusted Performance | (0.21) | |||
| Jensen Alpha | (2.10) | |||
| Total Risk Alpha | (2.73) | |||
| Treynor Ratio | (3.05) |
Pineapple Financial Backtested Returns
Pineapple Financial maintains Sharpe Ratio (i.e., Efficiency) of -0.3, which implies the firm had a -0.3 % return per unit of risk over the last 3 months. Pineapple Financial exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pineapple Financial's Variance of 45.81, risk adjusted performance of (0.21), and Coefficient Of Variation of (331.95) to confirm the risk estimate we provide. The company holds a Beta of 0.67, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pineapple Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pineapple Financial is expected to be smaller as well. At this point, Pineapple Financial has a negative expected return of -2.04%. Please make sure to check Pineapple Financial's total risk alpha, skewness, as well as the relationship between the Skewness and day median price , to decide if Pineapple Financial performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.55 |
Modest predictability
Pineapple Financial has modest predictability. Overlapping area represents the amount of predictability between Pineapple Financial time series from 16th of January 2024 to 10th of January 2025 and 10th of January 2025 to 5th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Pineapple Financial price movement. The serial correlation of 0.55 indicates that about 55.0% of current Pineapple Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.46 | |
| Residual Average | 0.0 | |
| Price Variance | 6.41 |
Pineapple Financial lagged returns against current returns
Autocorrelation, which is Pineapple Financial stock'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 Pineapple Financial's stock expected returns. We can calculate the autocorrelation of Pineapple Financial returns to help us make a trade decision. For example, suppose you find that Pineapple Financial has exhibited high autocorrelation historically, and you observe that the stock 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 |
Pineapple Financial 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 Pineapple Financial stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pineapple Financial stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pineapple Financial stock over time.
Current vs Lagged Prices |
| Timeline |
Pineapple Financial Lagged Returns
When evaluating Pineapple Financial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pineapple Financial stock have on its future price. Pineapple Financial 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, Pineapple Financial autocorrelation shows the relationship between Pineapple Financial stock current value and its past values and can show if there is a momentum factor associated with investing in Pineapple Financial.
Regressed Prices |
| Timeline |
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Pineapple Financial technical stock 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, stock market cycles, or different charting patterns.