Taiga Building Pink Sheet Forward View - Simple Moving Average
| TGAFF Stock | USD 2.63 0.06 2.33% |
Taiga Pink Sheet outlook is based on your current time horizon. We recommend always using this module together with an analysis of Taiga Building's historical fundamentals, such as revenue growth or operating cash flow patterns.
The relative strength index (RSI) of Taiga Building's pink sheet price is roughly 66. This usually implies that the pink sheet is rather overbought by investors as of 30th of January 2026. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Taiga, making its price go up or down. Momentum 66
Buy Stretched
Oversold | Overbought |
Using Taiga Building hype-based prediction, you can estimate the value of Taiga Building Products from the perspective of Taiga Building response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Moving Average forecasted value of Taiga Building Products on the next trading day is expected to be 2.60 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.95. Taiga Building after-hype prediction price | USD 2.57 |
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.
Taiga |
Taiga Building Additional Predictive Modules
Most predictive techniques to examine Taiga price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Taiga using various technical indicators. When you analyze Taiga 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 |
Taiga Building Simple Moving Average Price Forecast For the 31st of January
Given 90 days horizon, the Simple Moving Average forecasted value of Taiga Building Products on the next trading day is expected to be 2.60 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 0.95.Please note that although there have been many attempts to predict Taiga 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 Taiga Building's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Taiga Building Pink Sheet Forecast Pattern
| Backtest Taiga Building | Taiga Building Price Prediction | Buy or Sell Advice |
Taiga Building Forecasted Value
In the context of forecasting Taiga Building'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. Taiga Building's downside and upside margins for the forecasting period are 1.25 and 3.95, respectively. We have considered Taiga Building'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Taiga Building pink sheet data series using in forecasting. Note that when a statistical model is used to represent Taiga Building 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 | 107.7552 |
| Bias | Arithmetic mean of the errors | -0.0043 |
| MAD | Mean absolute deviation | 0.0162 |
| MAPE | Mean absolute percentage error | 0.0064 |
| SAE | Sum of the absolute errors | 0.955 |
Predictive Modules for Taiga Building
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Taiga Building Products. 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.Taiga Building After-Hype Price Density Analysis
As far as predicting the price of Taiga Building at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Taiga Building or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Taiga Building, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Taiga Building Estimiated After-Hype Price Volatility
In the context of predicting Taiga Building's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Taiga Building's historical news coverage. Taiga Building's after-hype downside and upside margins for the prediction period are 1.22 and 3.92, respectively. We have considered Taiga Building's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Taiga Building is slightly risky at this time. Analysis and calculation of next after-hype price of Taiga Building Products is based on 3 months time horizon.
Taiga Building Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Taiga Building is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Taiga Building backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Taiga Building, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.10 | 1.35 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.63 | 2.57 | 0.00 |
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Taiga Building Hype Timeline
Taiga Building Products is at this time traded for 2.63. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Taiga is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.1%. %. The volatility of related hype on Taiga Building is about 0.0%, with the expected price after the next announcement by competition of 2.63. About 72.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.91. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Taiga Building Products last dividend was issued on the 4th of March 2021. Assuming the 90 days horizon the next forecasted press release will be within a week. Check out Historical Fundamental Analysis of Taiga Building to cross-verify your projections.Taiga Building Related Hype Analysis
Having access to credible news sources related to Taiga Building's direct competition is more important than ever and may enhance your ability to predict Taiga Building's future price movements. Getting to know how Taiga Building's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Taiga Building may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CHYMF | Cahya Mata Sarawak | 0.00 | 0 per month | 0.00 | 0.07 | 0.00 | 0.00 | 36.36 | |
| TYGIF | Toyo Gosei CoLtd | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| SYAAF | Syrah Resources Limited | 0.00 | 0 per month | 0.00 | (0.07) | 9.52 | (9.52) | 25.79 | |
| SRBIF | Serabi Gold PLC | 0.00 | 0 per month | 4.28 | 0.1 | 10.00 | (6.52) | 25.82 | |
| SVMLF | Sovereign Metals Limited | 0.00 | 0 per month | 4.18 | 0.03 | 5.88 | (5.71) | 37.38 | |
| MKNGF | Mkango Resources | 0.00 | 0 per month | 15.46 | 0.12 | 53.85 | (42.62) | 193.64 | |
| RTLGF | St Augustine Gold | 0.00 | 0 per month | 5.42 | 0.06 | 13.33 | (13.04) | 61.25 | |
| NOURF | Northern Minerals Limited | 0.00 | 0 per month | 11.67 | 0 | 19.60 | (20.71) | 62.42 | |
| CBUMY | China National Building | 0.00 | 0 per month | 0.00 | (0.02) | 0.00 | 0.00 | 48.15 | |
| VLPNY | Voestalpine AG PK | 0.00 | 0 per month | 1.76 | 0.14 | 6.24 | (3.66) | 16.98 |
Other Forecasting Options for Taiga Building
For every potential investor in Taiga, whether a beginner or expert, Taiga Building's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Taiga Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Taiga. Basic forecasting techniques help filter out the noise by identifying Taiga Building's price trends.Taiga Building 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 Taiga Building pink sheet to make a market-neutral strategy. Peer analysis of Taiga Building could also be used in its relative valuation, which is a method of valuing Taiga Building by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Taiga Building Market Strength Events
Market strength indicators help investors to evaluate how Taiga Building 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 Taiga Building shares will generate the highest return on investment. By undertsting and applying Taiga Building pink sheet market strength indicators, traders can identify Taiga Building Products entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 2.63 | |||
| Day Typical Price | 2.63 | |||
| Price Action Indicator | 0.03 | |||
| Period Momentum Indicator | 0.06 | |||
| Relative Strength Index | 66.32 |
Taiga Building Risk Indicators
The analysis of Taiga Building'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 Taiga Building's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting taiga 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 | 0.5012 | |||
| Standard Deviation | 1.33 | |||
| Variance | 1.77 |
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.
Story Coverage note for Taiga Building
The number of cover stories for Taiga Building depends on current market conditions and Taiga Building's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Taiga Building is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Taiga Building's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Taiga Building Short Properties
Taiga Building's future price predictability will typically decrease when Taiga Building's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Taiga Building Products often depends not only on the future outlook of the potential Taiga Building's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Taiga Building's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 108.2 M | |
| Dividends Paid | 30 M | |
| Short Long Term Debt | 13.1 M | |
| Shares Float | 30.5 M |
Other Information on Investing in Taiga Pink Sheet
Taiga Building financial ratios help investors to determine whether Taiga 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 Taiga with respect to the benefits of owning Taiga Building security.