GRAND PEAK Stock Forward View - Simple Exponential Smoothing

6GP1 Stock   0.01  0.00  0.00%   
GRAND PEAK CAPITAL's Simple Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use.
The Simple Exponential Smoothing forecasted value of GRAND PEAK CAPITAL on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0035 and the sum of the absolute errors of 0.21.This simple exponential smoothing model begins by setting GRAND PEAK CAPITAL forecast for the second period equal to the observation of the first period. In other words, recent GRAND PEAK observations are given relatively more weight in forecasting than the older observations. All Simple Exponential Smoothing forecast figures shown for GRAND PEAK CAPITAL are reference data reflecting model output based on available historical prices.
GRAND PEAK simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for GRAND PEAK CAPITAL are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as GRAND PEAK CAPITAL prices get older.

Simple Exponential Smoothing Price Forecast For the 23rd of March

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of GRAND PEAK CAPITAL on the next trading day is expected to be 0.01 with a mean absolute deviation of 0.0035 , mean absolute percentage error of 0.000059 , and the sum of the absolute errors of 0.21 .
Please note that although there have been many attempts to predict GRAND Stock 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 GRAND PEAK's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

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Forecasted Value

Forecasting GRAND PEAK CAPITAL for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 0.0001 and upside around 38.80 for the forecasting period.
Market Value
0.01
0.0001
Downside
0.01
Expected Value
38.80
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of GRAND PEAK stock data series using in forecasting. Note that when a statistical model is used to represent GRAND PEAK 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 Criteria106.5272
BiasArithmetic mean of the errors 0.001
MADMean absolute deviation0.0035
MAPEMean absolute percentage error0.1821
SAESum of the absolute errors0.2073
This simple exponential smoothing model begins by setting GRAND PEAK CAPITAL forecast for the second period equal to the observation of the first period. In other words, recent GRAND PEAK observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for GRAND PEAK

Bollinger Bands applied to GRAND Stock price data measure how far GRAND has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to GRAND PEAK's price data.

GRAND PEAK Related Equities

Investors studying GRAND PEAK often look at related stocks within the Financials space to gauge pricing and results. Looking at GRAND PEAK's pricing multiples next to these peers shows if the stock trades at a premium or discount.
 Risk & Return  Correlation

GRAND PEAK Market Strength Events

For investors tracking GRAND PEAK CAPITAL, market strength indicators offer quantitative evaluation of stock behavior. By using these indicators, traders can make more informed decisions about when to buy or sell GRAND PEAK CAPITAL.

GRAND PEAK Risk Indicators

Analyzing GRAND PEAK's basic risk indicators provides investors with a structured view of the risk-return trade-off for grand stock. By identifying the level of risk embedded in GRAND PEAK's investment, investors can make informed decisions about position sizing.
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 GRAND PEAK

The amount of media and story coverage tied to GRAND PEAK CAPITAL can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.

Other Macroaxis Stories

Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.

More Resources for GRAND Stock Analysis

Other Information on Investing in GRAND Stock

At GRAND PEAK, financial ratios outline links between core financial data. Values are aligned to support consistent measurement over time.