Mango Capital Pink Sheet Forecast - Naive Prediction
| MCAP Stock | USD 5.50 0.00 0.00% |
The Naive Prediction forecasted value of Mango Capital on the next trading day is expected to be 5.54 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.33. Mango Pink Sheet Forecast is based on your current time horizon.
Mango |
Mango Capital Naive Prediction Price Forecast For the 2nd of December
Given 90 days horizon, the Naive Prediction forecasted value of Mango Capital on the next trading day is expected to be 5.54 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0009, and the sum of the absolute errors of 1.33.Please note that although there have been many attempts to predict Mango 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 Mango Capital's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mango Capital Pink Sheet Forecast Pattern
| Backtest Mango Capital | Mango Capital Price Prediction | Buy or Sell Advice |
Mango Capital Forecasted Value
In the context of forecasting Mango Capital's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Mango Capital's downside and upside margins for the forecasting period are 4.61 and 6.47, respectively. We have considered Mango Capital's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
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 Mango Capital pink sheet data series using in forecasting. Note that when a statistical model is used to represent Mango Capital 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 | 111.0922 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0217 |
| MAPE | Mean absolute percentage error | 0.004 |
| SAE | Sum of the absolute errors | 1.3258 |
Predictive Modules for Mango Capital
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Mango Capital. 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.Other Forecasting Options for Mango Capital
For every potential investor in Mango, whether a beginner or expert, Mango Capital's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Mango Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Mango. Basic forecasting techniques help filter out the noise by identifying Mango Capital's price trends.View Mango Capital Related Equities
| Risk & Return | Correlation |
Mango Capital Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Mango Capital's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Mango Capital's current price.| Cycle Indicators | ||
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Mango Capital Market Strength Events
Market strength indicators help investors to evaluate how Mango Capital 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 Mango Capital shares will generate the highest return on investment. By undertsting and applying Mango Capital pink sheet market strength indicators, traders can identify Mango Capital entry and exit signals to maximize returns.
Mango Capital Risk Indicators
The analysis of Mango Capital'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 Mango Capital's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting mango 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 | 0.2679 | |||
| Standard Deviation | 0.9152 | |||
| Variance | 0.8376 |
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.
Pair Trading with Mango Capital
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mango Capital position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mango Capital will appreciate offsetting losses from the drop in the long position's value.Moving against Mango Pink Sheet
| 0.81 | PTAIF | PT Astra International | PairCorr |
| 0.72 | T | ATT Inc Fiscal Year End 22nd of January 2025 | PairCorr |
| 0.63 | CSCO | Cisco Systems Sell-off Trend | PairCorr |
| 0.62 | SSNLF | Samsung Electronics | PairCorr |
| 0.51 | INTC | Intel Fiscal Year End 23rd of January 2025 | PairCorr |
The ability to find closely correlated positions to Mango Capital could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mango Capital when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mango Capital - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mango Capital to buy it.
The correlation of Mango Capital is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mango Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mango Capital moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mango Capital can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Mango Pink Sheet Analysis
When running Mango Capital's price analysis, check to measure Mango Capital'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 Mango Capital is operating at the current time. Most of Mango Capital's value examination focuses on studying past and present price action to predict the probability of Mango Capital's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Mango Capital's price. Additionally, you may evaluate how the addition of Mango Capital to your portfolios can decrease your overall portfolio volatility.