SM Prime Pink Sheet Forecast - Simple Exponential Smoothing
| SPHXF Stock | USD 0.59 0.00 0.00% |
The Simple Exponential Smoothing forecasted value of SM Prime Holdings on the next trading day is expected to be 0.59 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09. SPHXF Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast SM Prime stock prices and determine the direction of SM Prime Holdings's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of SM Prime's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of SM Prime to cross-verify your projections. SPHXF |
Most investors in SM Prime cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the SM Prime's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets SM Prime's price structures and extracts relationships that further increase the generated results' accuracy.
SM Prime simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for SM Prime Holdings are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as SM Prime Holdings prices get older. SM Prime Simple Exponential Smoothing Price Forecast For the 20th of April
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of SM Prime Holdings on the next trading day is expected to be 0.59 with a mean absolute deviation of 0, mean absolute percentage error of 0.000068, and the sum of the absolute errors of 0.09.Please note that although there have been many attempts to predict SPHXF 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 SM Prime's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
SM Prime Pink Sheet Forecast Pattern
| Backtest SM Prime | SM Prime Price Prediction | Buy or Sell Advice |
SM Prime Forecasted Value
In the context of forecasting SM Prime'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. SM Prime's downside and upside margins for the forecasting period are 0.01 and 2.06, respectively. We have considered SM Prime'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of SM Prime pink sheet data series using in forecasting. Note that when a statistical model is used to represent SM Prime 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 | 106.6815 |
| Bias | Arithmetic mean of the errors | -2.0E-4 |
| MAD | Mean absolute deviation | 0.0015 |
| MAPE | Mean absolute percentage error | 0.0026 |
| SAE | Sum of the absolute errors | 0.09 |
Predictive Modules for SM Prime
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SM Prime Holdings. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SM Prime's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Other Forecasting Options for SM Prime
For every potential investor in SPHXF, whether a beginner or expert, SM Prime's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. SPHXF Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in SPHXF. Basic forecasting techniques help filter out the noise by identifying SM Prime's price trends.SM Prime Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with SM Prime pink sheet to make a market-neutral strategy. Peer analysis of SM Prime could also be used in its relative valuation, which is a method of valuing SM Prime by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SM Prime Holdings 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 SM Prime'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 SM Prime's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
SM Prime Market Strength Events
Market strength indicators help investors to evaluate how SM Prime 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 SM Prime shares will generate the highest return on investment. By undertsting and applying SM Prime pink sheet market strength indicators, traders can identify SM Prime Holdings entry and exit signals to maximize returns.
SM Prime Risk Indicators
The analysis of SM Prime'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 SM Prime's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sphxf 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 | 0.2795 | |||
| Standard Deviation | 1.43 | |||
| Variance | 2.05 |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SM Prime in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SM Prime's short interest history, or implied volatility extrapolated from SM Prime options trading.
Currently Active Assets on Macroaxis
Check out Historical Fundamental Analysis of SM Prime to cross-verify your projections. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Complementary Tools for SPHXF Pink Sheet analysis
When running SM Prime's price analysis, check to measure SM Prime'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 SM Prime is operating at the current time. Most of SM Prime's value examination focuses on studying past and present price action to predict the probability of SM Prime's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SM Prime's price. Additionally, you may evaluate how the addition of SM Prime to your portfolios can decrease your overall portfolio volatility.
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Crypto Correlations Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Piotroski F Score Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals | |
| Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |