Tigo Energy Stock Forecast - Naive Prediction

TYGO Stock   0.85  0.14  14.14%   
The Naive Prediction forecasted value of Tigo Energy on the next trading day is expected to be 0.83 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.61. Tigo Stock Forecast is based on your current time horizon. Although Tigo Energy's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Tigo Energy's systematic risk associated with finding meaningful patterns of Tigo Energy fundamentals over time.
  
At this time, Tigo Energy's Payables Turnover is very stable compared to the past year. As of the 29th of November 2024, Receivables Turnover is likely to grow to 22.22, while Inventory Turnover is likely to drop 1.45. . As of the 29th of November 2024, Common Stock Shares Outstanding is likely to grow to about 45.4 M, while Net Loss is likely to drop (12.6 M).

Tigo Energy Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Tigo Energy's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
4.4 M
Current Value
4.2 M
Quarterly Volatility
9.3 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Tigo Energy is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Tigo Energy 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.

Tigo Energy Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Tigo Energy on the next trading day is expected to be 0.83 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.61.
Please note that although there have been many attempts to predict Tigo Stock 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 Tigo Energy's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Tigo Energy Stock Forecast Pattern

Backtest Tigo EnergyTigo Energy Price PredictionBuy or Sell Advice 

Tigo Energy Forecasted Value

In the context of forecasting Tigo Energy's Stock 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. Tigo Energy's downside and upside margins for the forecasting period are 0.01 and 6.44, respectively. We have considered Tigo Energy'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
0.85
0.83
Expected Value
6.44
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 Tigo Energy stock data series using in forecasting. Note that when a statistical model is used to represent Tigo Energy stock, 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 Criteria112.2309
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0427
MAPEMean absolute percentage error0.0336
SAESum of the absolute errors2.6066
This model is not at all useful as a medium-long range forecasting tool of Tigo Energy. 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 Tigo Energy. 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 Tigo Energy

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Tigo Energy. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Hype
Prediction
LowEstimatedHigh
0.040.866.48
Details
Intrinsic
Valuation
LowRealHigh
0.163.308.92
Details
4 Analysts
Consensus
LowTargetHigh
9.7110.6711.84
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Tigo Energy. Your research has to be compared to or analyzed against Tigo Energy's peers to derive any actionable benefits. When done correctly, Tigo Energy's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Tigo Energy.

Other Forecasting Options for Tigo Energy

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

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

Tigo Energy Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Tigo Energy'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 Tigo Energy's current price.

Tigo Energy Market Strength Events

Market strength indicators help investors to evaluate how Tigo Energy stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Tigo Energy shares will generate the highest return on investment. By undertsting and applying Tigo Energy stock market strength indicators, traders can identify Tigo Energy entry and exit signals to maximize returns.

Tigo Energy Risk Indicators

The analysis of Tigo Energy'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 Tigo Energy's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting tigo stock 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 Tigo Energy

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 Tigo Energy 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 Tigo Energy will appreciate offsetting losses from the drop in the long position's value.

Moving against Tigo Stock

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The ability to find closely correlated positions to Tigo Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tigo Energy 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 Tigo Energy - 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 Tigo Energy to buy it.
The correlation of Tigo Energy 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 Tigo Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tigo Energy 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 Tigo Energy 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
When determining whether Tigo Energy offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Tigo Energy's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Tigo Energy Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Tigo Energy Stock:
Check out Historical Fundamental Analysis of Tigo Energy to cross-verify your projections.
To learn how to invest in Tigo Stock, please use our How to Invest in Tigo Energy guide.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Is Semiconductors & Semiconductor Equipment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Tigo Energy. If investors know Tigo will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Tigo Energy listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share
(0.87)
Revenue Per Share
0.768
Quarterly Revenue Growth
(0.17)
Return On Assets
(0.21)
Return On Equity
(0.93)
The market value of Tigo Energy is measured differently than its book value, which is the value of Tigo that is recorded on the company's balance sheet. Investors also form their own opinion of Tigo Energy's value that differs from its market value or its book value, called intrinsic value, which is Tigo Energy's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Tigo Energy's market value can be influenced by many factors that don't directly affect Tigo Energy's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Tigo Energy's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tigo Energy is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tigo Energy's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.