Bank of Nova Scotia Stock Forecast - Naive Prediction
| BNS Stock | USD 72.90 0.87 1.21% |
The Naive Prediction forecasted value of Bank of Nova on the next trading day is expected to be 72.14 with a mean absolute deviation of 0.53 and the sum of the absolute errors of 32.51. Bank Stock Forecast is based on your current time horizon.
The relative strength index (RSI) of Bank of Nova Scotia's stock price is slightly above 63 suggesting that the stock is rather overbought by investors at this time. The main point of the Relative Strength Index (RSI) is to track how fast people are buying or selling Bank, making its price go up or down. Momentum 63
Buy Extended
Oversold | Overbought |
Quarterly Earnings Growth 0.354 | EPS Estimate Current Year 8.0251 | EPS Estimate Next Year 8.9999 | Wall Street Target Price 69.4733 | EPS Estimate Current Quarter 1.8437 |
Using Bank of Nova Scotia hype-based prediction, you can estimate the value of Bank of Nova from the perspective of Bank of Nova Scotia response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Bank of Nova Scotia using Bank of Nova Scotia's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Bank using crowd psychology based on the activity and movement of Bank of Nova Scotia's stock price.
Bank of Nova Scotia Short Interest
An investor who is long Bank of Nova Scotia may also wish to track short interest. As short interest increases, investors should be becoming more worried about Bank of Nova Scotia and may potentially protect profits, hedge Bank of Nova Scotia with its derivative instruments, or be ready for some potential downside.
200 Day MA 59.1893 | Short Percent 0.0026 | Short Ratio 7.73 | Shares Short Prior Month 19.8 M | 50 Day MA 69.5998 |
Bank of Nova Scotia Hype to Price Pattern
Investor biases related to Bank of Nova Scotia's public news can be used to forecast risks associated with an investment in Bank. The trend in average sentiment can be used to explain how an investor holding Bank can time the market purely based on public headlines and social activities around Bank of Nova. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Bank of Nova Scotia's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Bank of Nova Scotia.
Bank of Nova Scotia Implied Volatility | 0.33 |
Bank of Nova Scotia's implied volatility exposes the market's sentiment of Bank of Nova stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Bank of Nova Scotia's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Bank of Nova Scotia stock will not fluctuate a lot when Bank of Nova Scotia's options are near their expiration.
The Naive Prediction forecasted value of Bank of Nova on the next trading day is expected to be 72.14 with a mean absolute deviation of 0.53 and the sum of the absolute errors of 32.51. Bank of Nova Scotia after-hype prediction price | USD 72.9 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of Bank of Nova Scotia to cross-verify your projections. Open Interest Against 2026-03-20 Bank Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Bank of Nova Scotia's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Bank of Nova Scotia's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Bank of Nova Scotia stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Bank of Nova Scotia's open interest, investors have to compare it to Bank of Nova Scotia's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Bank of Nova Scotia is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Bank. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Bank of Nova Scotia Additional Predictive Modules
Most predictive techniques to examine Bank price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bank using various technical indicators. When you analyze Bank 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 |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Bank of Nova Scotia's financial statements to predict how it will affect future prices.
Cash | First Reported 1996-01-31 | Previous Quarter 69.7 B | Current Value 66 B | Quarterly Volatility 24.9 B |
Bank of Nova Scotia Naive Prediction Price Forecast For the 10th of January
Given 90 days horizon, the Naive Prediction forecasted value of Bank of Nova on the next trading day is expected to be 72.14 with a mean absolute deviation of 0.53, mean absolute percentage error of 0.46, and the sum of the absolute errors of 32.51.Please note that although there have been many attempts to predict Bank 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 Bank of Nova Scotia's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bank of Nova Scotia Stock Forecast Pattern
| Backtest Bank of Nova Scotia | Bank of Nova Scotia Price Prediction | Buy or Sell Advice |
Bank of Nova Scotia Forecasted Value
In the context of forecasting Bank of Nova Scotia'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. Bank of Nova Scotia's downside and upside margins for the forecasting period are 71.26 and 73.02, respectively. We have considered Bank of Nova Scotia'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Bank of Nova Scotia stock data series using in forecasting. Note that when a statistical model is used to represent Bank of Nova Scotia 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.| AIC | Akaike Information Criteria | 117.3257 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.5329 |
| MAPE | Mean absolute percentage error | 0.0078 |
| SAE | Sum of the absolute errors | 32.5086 |
Predictive Modules for Bank of Nova Scotia
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bank of Nova Scotia. 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.Other Forecasting Options for Bank of Nova Scotia
For every potential investor in Bank, whether a beginner or expert, Bank of Nova Scotia's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bank Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bank. Basic forecasting techniques help filter out the noise by identifying Bank of Nova Scotia's price trends.Bank of Nova Scotia 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 Bank of Nova Scotia stock to make a market-neutral strategy. Peer analysis of Bank of Nova Scotia could also be used in its relative valuation, which is a method of valuing Bank of Nova Scotia by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Bank of Nova Scotia 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 Bank of Nova Scotia'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 Bank of Nova Scotia's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Bank of Nova Scotia Market Strength Events
Market strength indicators help investors to evaluate how Bank of Nova Scotia stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bank of Nova Scotia shares will generate the highest return on investment. By undertsting and applying Bank of Nova Scotia stock market strength indicators, traders can identify Bank of Nova entry and exit signals to maximize returns.
Bank of Nova Scotia Risk Indicators
The analysis of Bank of Nova Scotia'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 Bank of Nova Scotia's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bank 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.
| Mean Deviation | 0.6553 | |||
| Semi Deviation | 0.6482 | |||
| Standard Deviation | 0.8757 | |||
| Variance | 0.7669 | |||
| Downside Variance | 0.7937 | |||
| Semi Variance | 0.4202 | |||
| Expected Short fall | (0.73) |
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.
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Additional Tools for Bank Stock Analysis
When running Bank of Nova Scotia's price analysis, check to measure Bank of Nova Scotia's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Bank of Nova Scotia is operating at the current time. Most of Bank of Nova Scotia's value examination focuses on studying past and present price action to predict the probability of Bank of Nova Scotia's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bank of Nova Scotia's price. Additionally, you may evaluate how the addition of Bank of Nova Scotia to your portfolios can decrease your overall portfolio volatility.