SPTSX Index Probability of Future Index Price Finishing Over 19699.1

GSPTSE
 Index
  

 19,258  195.40  1.02%   

SPTSX Comp's future price is the expected price of SPTSX Comp instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of SPTSX Comp performance during a given time horizon utilizing its historical volatility.
  
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Check out SPTSX Comp Backtesting, Portfolio Optimization, SPTSX Comp Correlation, SPTSX Comp Hype Analysis, SPTSX Comp Volatility, SPTSX Comp History as well as SPTSX Comp Performance. Please specify SPTSX Comp time horizon, a valid symbol (red box) and a target price (blue box) you would like SPTSX Comp odds to be computed.
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SPTSX Comp Target Price Odds to finish over 19699.1

The tendency of SPTSX Index price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over  19,699  or more in 90 days
 19,258 90 days 19,699  about 86.1
Based on a normal probability distribution, the odds of SPTSX Comp to move over  19,699  or more in 90 days from now is about 86.1 (This SPTSX Comp probability density function shows the probability of SPTSX Index to fall within a particular range of prices over 90 days) . Probability of SPTSX Comp price to stay between its current price of  19,258  and  19,699  at the end of the 90-day period is about 7.73 .
 SPTSX Comp Price Density 
      Price 

Predictive Modules for SPTSX Comp

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SPTSX Comp. Regardless of method or technology, however, to accurately forecast the stock or bond 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of SPTSX Comp'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. Please use the tools below to analyze the current value of SPTSX Comp in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
19,06219,06319,064
Details
Intrinsic
Valuation
LowReal ValueHigh
14,86814,86920,969
Details
Naive
Forecast
LowNext ValueHigh
18,83818,83918,841
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
18,44420,02321,601
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as SPTSX Comp. Your research has to be compared to or analyzed against SPTSX Comp's peers to derive any actionable benefits. When done correctly, SPTSX Comp's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in SPTSX Comp.

SPTSX Comp Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. SPTSX Comp is not an exception. The market had few large corrections towards the SPTSX Comp's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold SPTSX Comp, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of SPTSX Comp within the framework of very fundamental risk indicators.

SPTSX Comp Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of SPTSX Comp for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for SPTSX Comp can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
SPTSX Comp generated a negative expected return over the last 90 days

SPTSX Comp Technical Analysis

SPTSX Comp's future price can be derived by breaking down and analyzing its technical indicators over time. SPTSX Index technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of SPTSX Comp. In general, you should focus on analyzing SPTSX Index price patterns and their correlations with different microeconomic environments and drivers.

SPTSX Comp Predictive Forecast Models

SPTSX Comp time-series forecasting models is one of many SPTSX Comp's index analysis techniquest aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary SPTSX Comp's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about SPTSX Comp

Checking the ongoing alerts about SPTSX Comp for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for SPTSX Comp help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.

SPTSX Comp Alerts

SPTSX Comp Alerts and Suggestions

SPTSX Comp generated a negative expected return over the last 90 days
Check out SPTSX Comp Backtesting, Portfolio Optimization, SPTSX Comp Correlation, SPTSX Comp Hype Analysis, SPTSX Comp Volatility, SPTSX Comp History as well as SPTSX Comp Performance. Note that the SPTSX Comp information on this page should be used as a complementary analysis to other SPTSX Comp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Watchlist Optimization module to optimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm.

Other Tools for SPTSX Index

When running SPTSX Comp price analysis, check to measure SPTSX Comp'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 SPTSX Comp is operating at the current time. Most of SPTSX Comp's value examination focuses on studying past and present price action to predict the probability of SPTSX Comp's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move SPTSX Comp's price. Additionally, you may evaluate how the addition of SPTSX Comp to your portfolios can decrease your overall portfolio volatility.
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