Ninepoint Balanced Etf Forward View - Simple Regression
| NBAL Etf | 22.58 0.12 0.53% |
Momentum
Sell Peaked
Oversold | Overbought |
The hype perspective for Ninepoint Balanced maps headline activity to recent price response and peer coverage.
The Simple Regression forecasted value of Ninepoint Balanced on the next trading day is expected to be 23.01 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.90.Ninepoint Balanced after-hype prediction price | C$ 22.58 |
This analysis adds an attention layer to forecasting, technical studies, analyst estimates, and earnings views.
Ninepoint |
Ninepoint Balanced Additional Predictive Modules
Predictive models for Ninepoint Balanced combine technical indicators with statistical methods to estimate probable price trajectories. Backtested accuracy does not guarantee forward performance - market structure and volatility regimes evolve.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Simple Regression Price Forecast For the 18th of March 2026
Given 90 days horizon, the Simple Regression forecasted value of Ninepoint Balanced on the next trading day is expected to be 23.01 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 10.90 .Please note that although there have been many attempts to predict Ninepoint Etf prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ninepoint Balanced's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Etf Forecast Pattern
Forecasted Value
For the next trading day, Macroaxis evaluates Ninepoint Balanced's predictive range by looking for statistically meaningful downside and upside boundaries. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Ninepoint Balanced etf data series using in forecasting. Note that when a statistical model is used to represent Ninepoint Balanced etf, 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 | 116.9133 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1758 |
| MAPE | Mean absolute percentage error | 0.0079 |
| SAE | Sum of the absolute errors | 10.8972 |
Investors who believe in mean reversion view Ninepoint Balanced's price extremes not as permanent states but as temporary dislocations that create opportunities for disciplined, contrarian capital allocation.
Estimiated After-Hype Price Volatility
The shape of Ninepoint Balanced's price distribution after major news events tends to be skewed, with larger potential moves to the downside than to the upside for established companies like Ninepoint Balanced. This asymmetry is a key input for options pricing and risk management.
Next price density |
| Expected price to next headline |
Price Outlook Analysis
Have you ever been surprised when a price of a ETF such as Ninepoint Balanced is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ninepoint Balanced 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 Etf 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 Ninepoint Balanced, 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 |
0.11 | 0.69 | 0.00 | 0.00 | 4 Events | 2 Events | In 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
22.58 | 22.58 | 0.00 |
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Hype Timeline
Ninepoint Balanced is now traded for 22.58on Toronto Exchange of Canada. The ETF stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Ninepoint is estimated 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 estimated to be very small, whereas the daily expected return is now at 0.11%. %. The volatility of related hype on Ninepoint Balanced is about 3881.25%, with the expected price after the next announcement by competition of 22.58. The ETF had not issued any dividends in recent years. Assuming the 90-day trading horizon the next estimated press release will be in 4 days. fundamental analysis of Ninepoint Balanced can be used to check projections for Ninepoint Balanced. The view adds fundamental context to the projection set.Related Hype Analysis
News about regulatory changes, technological disruptions, or macroeconomic shifts can affect Ninepoint Balanced's entire competitive landscape simultaneously. Monitoring peer reactions to such events helps investors anticipate Ninepoint Balanced's likely response.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| GLDE | Ninepoint Gold and | 0.01 | 3 per month | 3.45 | 0.07 | 3.43 | -5.12 | 15.41 | |
| BITC-U | Ninepoint Bitcoin ETF | 0.02 | 1 per month | 0.00 | -0.1 | 3.76 | -3.93 | 10.64 | |
| SHHI | Ninepoint Shopify HighShares | -0.03 | 1 per month | 0.00 | -0.08 | 6.40 | -8.42 | 20.17 | |
| RYHI | Ninepoint Royal Bank | -0.02 | 2 per month | 0.00 | -0.01 | 1.73 | -1.83 | 5.20 | |
| SLVE | Ninepoint Silver Equities | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| BCHI | Ninepoint BCE HighShares | -0.01 | 2 per month | 0.88 | 0.19 | 2.47 | -1.69 | 5.48 | |
| NNRG | Ninepoint Energy | 0.08 | 1 per month | 1.22 | 0.21 | 2.75 | -2.12 | 7.22 | |
| ABHI | Ninepoint Barrick HighShares | -0.20 | 5 per month | 3.28 | 0.05 | 4.54 | -4.41 | 19.53 | |
| CQHI | Ninepoint Canadian Natural | -0.01 | 1 per month | 1.44 | 0.28 | 3.87 | -2.90 | 6.58 |
Other Forecasting Options for Ninepoint Balanced
Investors at all stages of experience who consider Ninepoint must develop an understanding of Ninepoint Balanced's price dynamics. The noise embedded in Ninepoint Etf price charts can create misleading signals and skew investment decisions.Ninepoint Balanced Related Equities
The following equities are related to Ninepoint Balanced and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Ninepoint Balanced against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Ninepoint Balanced Market Strength Events
Market strength indicators applied to Ninepoint Balanced etf give investors a structured view of the security's momentum relative to the overall market. Using these indicators, traders can refine their timing when entering or exiting positions in Ninepoint Balanced.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 22.58 | |||
| Day Typical Price | 22.58 | |||
| Price Action Indicator | 0.06 | |||
| Period Momentum Indicator | 0.12 |
Ninepoint Balanced Risk Indicators
Evaluating Ninepoint Balanced's risk indicators is an important step in accurately forecasting its price and assessing the suitability of an investment. Understanding the risk profile of Ninepoint Balanced's allows investors to make more informed decisions about position sizing and risk.
| Mean Deviation | 0.5157 | |||
| Semi Deviation | 0.6268 | |||
| Standard Deviation | 0.665 | |||
| Variance | 0.4422 | |||
| Downside Variance | 0.6421 | |||
| Semi Variance | 0.3929 | |||
| Expected Short fall | -0.55 |
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 Ninepoint Balanced
A coverage review of Ninepoint Balanced helps investors see when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage helps investors separate durable relevance from temporary noise.
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Financial ratios for Ninepoint Balanced provide valuation context across profits, cash flow, and enterprise value. They help compare Ninepoint across valuation measures and peers.