Taylor Consulting Pink Sheet Forecast - Naive Prediction

TAYO Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of Taylor Consulting on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0.000048 and the sum of the absolute errors of 0. Taylor Pink Sheet Forecast is based on your current time horizon.
  
A naive forecasting model for Taylor Consulting is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Taylor Consulting value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Taylor Consulting Naive Prediction Price Forecast For the 26th of December

Given 90 days horizon, the Naive Prediction forecasted value of Taylor Consulting on the next trading day is expected to be 0.0002 with a mean absolute deviation of 0.000048, mean absolute percentage error of 0.00000001, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Taylor 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 Taylor Consulting's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Taylor Consulting Pink Sheet Forecast Pattern

Backtest Taylor ConsultingTaylor Consulting Price PredictionBuy or Sell Advice 

Taylor Consulting Forecasted Value

In the context of forecasting Taylor Consulting'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. Taylor Consulting's downside and upside margins for the forecasting period are 0.000001 and 10.50, respectively. We have considered Taylor Consulting'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.
Market Value
0.0001
0.000001
Downside
0.0002
Expected Value
10.50
Upside

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 Taylor Consulting pink sheet data series using in forecasting. Note that when a statistical model is used to represent Taylor Consulting 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.
AICAkaike Information Criteria99.0191
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.3379
SAESum of the absolute errors0.0029
This model is not at all useful as a medium-long range forecasting tool of Taylor Consulting. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Taylor Consulting. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Taylor Consulting

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Taylor Consulting. 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 Taylor Consulting'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.
Hype
Prediction
LowEstimatedHigh
0.000.000110.50
Details
Intrinsic
Valuation
LowRealHigh
0.000.00009610.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
-0.00020.00020.0006
Details

Other Forecasting Options for Taylor Consulting

For every potential investor in Taylor, whether a beginner or expert, Taylor Consulting's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Taylor Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Taylor. Basic forecasting techniques help filter out the noise by identifying Taylor Consulting's price trends.

Taylor Consulting 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 Taylor Consulting pink sheet to make a market-neutral strategy. Peer analysis of Taylor Consulting could also be used in its relative valuation, which is a method of valuing Taylor Consulting by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Taylor Consulting 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 Taylor Consulting'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 Taylor Consulting's current price.

Taylor Consulting Market Strength Events

Market strength indicators help investors to evaluate how Taylor Consulting 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 Taylor Consulting shares will generate the highest return on investment. By undertsting and applying Taylor Consulting pink sheet market strength indicators, traders can identify Taylor Consulting entry and exit signals to maximize returns.

Taylor Consulting Risk Indicators

The analysis of Taylor Consulting'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 Taylor Consulting's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting taylor 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.
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 Taylor Consulting

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 Taylor Consulting 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 Taylor Consulting will appreciate offsetting losses from the drop in the long position's value.

Moving together with Taylor Pink Sheet

  0.71CLNXF Cellnex Telecom SAPairCorr
  0.78CLLNY Cellnex Telecom SAPairCorr
  0.68CSGP CoStar GroupPairCorr

Moving against Taylor Pink Sheet

  0.71VTWRF Vantage Towers AGPairCorr
  0.67VTAGY Vantage Towers AGPairCorr
  0.59WRFRF Wharf Real EstatePairCorr
  0.36FMCB Farmers Merchants BancorpPairCorr
The ability to find closely correlated positions to Taylor Consulting could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Taylor Consulting 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 Taylor Consulting - 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 Taylor Consulting to buy it.
The correlation of Taylor Consulting 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 Taylor Consulting moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Taylor Consulting 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 Taylor Consulting 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Taylor Pink Sheet

Taylor Consulting financial ratios help investors to determine whether Taylor Pink Sheet 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 Taylor with respect to the benefits of owning Taylor Consulting security.