Telidyne Pink Sheet Forecast - Polynomial Regression

TLDNDelisted Stock  USD 0.0003  0.00  0.00%   
The Polynomial Regression forecasted value of Telidyne on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0 and the sum of the absolute errors of 0. Telidyne Pink Sheet Forecast is based on your current time horizon.
  
Telidyne polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Telidyne as well as the accuracy indicators are determined from the period prices.

Telidyne Polynomial Regression Price Forecast For the 27th of December

Given 90 days horizon, the Polynomial Regression forecasted value of Telidyne on the next trading day is expected to be 0.0003 with a mean absolute deviation of 0, mean absolute percentage error of 0, and the sum of the absolute errors of 0.
Please note that although there have been many attempts to predict Telidyne 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 Telidyne's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Telidyne Pink Sheet Forecast Pattern

Backtest TelidyneTelidyne Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Telidyne pink sheet data series using in forecasting. Note that when a statistical model is used to represent Telidyne 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 Criteria34.9511
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
A single variable polynomial regression model attempts to put a curve through the Telidyne historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Telidyne

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Telidyne. 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 Telidyne'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
0.000.00030.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.00030.00
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.00030.00030.0003
Details

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

Telidyne Market Strength Events

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

Pair Trading with Telidyne

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 Telidyne 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 Telidyne will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Telidyne could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Telidyne 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 Telidyne - 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 Telidyne to buy it.
The correlation of Telidyne 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 Telidyne moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Telidyne 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 Telidyne 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
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in small area income & poverty estimates.
You can also try the Positions Ratings module to 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.

Other Consideration for investing in Telidyne Pink Sheet

If you are still planning to invest in Telidyne check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Telidyne's history and understand the potential risks before investing.
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