First Team Pink Sheet Forecast - Naive Prediction
| FTSP Stock | 0.03 0.00 0.00% |
Momentum 0
Sell Peaked
Oversold | Overbought |
Using First Team hype-based prediction, you can estimate the value of First Team Sports from the perspective of First Team response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of First Team Sports on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.77. First Team after-hype prediction price | USD 0.03 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
First |
First Team Additional Predictive Modules
Most predictive techniques to examine First price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for First using various technical indicators. When you analyze First charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
First Team Naive Prediction Price Forecast For the 12th of January 2026
Given 90 days horizon, the Naive Prediction forecasted value of First Team Sports on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.77.Please note that although there have been many attempts to predict First 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 First Team's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
First Team Pink Sheet Forecast Pattern
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 First Team pink sheet data series using in forecasting. Note that when a statistical model is used to represent First Team 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 | 97.2802 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0142 |
| MAPE | Mean absolute percentage error | 0.69 |
| SAE | Sum of the absolute errors | 0.7658 |
Predictive Modules for First Team
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as First Team Sports. 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 First Team'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.
First Team 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 First Team pink sheet to make a market-neutral strategy. Peer analysis of First Team could also be used in its relative valuation, which is a method of valuing First Team by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
First Team Market Strength Events
Market strength indicators help investors to evaluate how First Team 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 First Team shares will generate the highest return on investment. By undertsting and applying First Team pink sheet market strength indicators, traders can identify First Team Sports entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0336 | |||
| Day Typical Price | 0.0336 |
First Team Risk Indicators
The analysis of First Team'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 First Team's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting first 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 | 79.45 | |||
| Semi Deviation | 31.24 | |||
| Standard Deviation | 133.18 | |||
| Variance | 17737.55 | |||
| Downside Variance | 2036.02 | |||
| Semi Variance | 975.9 | |||
| Expected Short fall | (131.98) |
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 First Team
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 First Team 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 First Team will appreciate offsetting losses from the drop in the long position's value.Moving against First Pink Sheet
The ability to find closely correlated positions to First Team could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace First Team 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 First Team - 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 First Team Sports to buy it.
The correlation of First Team 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 First Team moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if First Team Sports 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 First Team 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 First Pink Sheet Analysis
When running First Team's price analysis, check to measure First Team'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 First Team is operating at the current time. Most of First Team's value examination focuses on studying past and present price action to predict the probability of First Team's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move First Team's price. Additionally, you may evaluate how the addition of First Team to your portfolios can decrease your overall portfolio volatility.