Nitori Holdings Pink Sheet Forecast - Polynomial Regression
| NCLTY Stock | USD 13.73 0.13 0.96% |
The Polynomial Regression forecasted value of Nitori Holdings Co on the next trading day is expected to be 12.90 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.41. Nitori Pink Sheet Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Nitori Holdings stock prices and determine the direction of Nitori Holdings Co's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Nitori Holdings' historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Nitori Holdings to cross-verify your projections. Nitori |
Most investors in Nitori Holdings cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Nitori Holdings' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Nitori Holdings' price structures and extracts relationships that further increase the generated results' accuracy.
Nitori Holdings polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Nitori Holdings Co as well as the accuracy indicators are determined from the period prices. Nitori Holdings Polynomial Regression Price Forecast For the 6th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Nitori Holdings Co on the next trading day is expected to be 12.90 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.15, and the sum of the absolute errors of 20.41.Please note that although there have been many attempts to predict Nitori 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 Nitori Holdings' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Nitori Holdings Pink Sheet Forecast Pattern
| Backtest Nitori Holdings | Nitori Holdings Price Prediction | Buy or Sell Advice |
Nitori Holdings Forecasted Value
In the context of forecasting Nitori Holdings' 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. Nitori Holdings' downside and upside margins for the forecasting period are 10.82 and 14.97, respectively. We have considered Nitori Holdings' 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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Nitori Holdings pink sheet data series using in forecasting. Note that when a statistical model is used to represent Nitori Holdings 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 | 116.1971 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.3346 |
| MAPE | Mean absolute percentage error | 0.0228 |
| SAE | Sum of the absolute errors | 20.4097 |
Predictive Modules for Nitori Holdings
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nitori Holdings. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Nitori Holdings' 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.
Other Forecasting Options for Nitori Holdings
For every potential investor in Nitori, whether a beginner or expert, Nitori Holdings' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nitori Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nitori. Basic forecasting techniques help filter out the noise by identifying Nitori Holdings' price trends.Nitori Holdings 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 Nitori Holdings pink sheet to make a market-neutral strategy. Peer analysis of Nitori Holdings could also be used in its relative valuation, which is a method of valuing Nitori Holdings by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Nitori Holdings Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Nitori Holdings' 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 Nitori Holdings' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Nitori Holdings Market Strength Events
Market strength indicators help investors to evaluate how Nitori Holdings 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 Nitori Holdings shares will generate the highest return on investment. By undertsting and applying Nitori Holdings pink sheet market strength indicators, traders can identify Nitori Holdings Co entry and exit signals to maximize returns.
Nitori Holdings Risk Indicators
The analysis of Nitori Holdings' 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 Nitori Holdings' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nitori 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 | 1.62 | |||
| Semi Deviation | 1.92 | |||
| Standard Deviation | 2.08 | |||
| Variance | 4.32 | |||
| Downside Variance | 4.02 | |||
| Semi Variance | 3.67 | |||
| Expected Short fall | (1.72) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Nitori Holdings in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Nitori Holdings' short interest history, or implied volatility extrapolated from Nitori Holdings options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Nitori Holdings to cross-verify your projections. You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
Complementary Tools for Nitori Pink Sheet analysis
When running Nitori Holdings' price analysis, check to measure Nitori Holdings' 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 Nitori Holdings is operating at the current time. Most of Nitori Holdings' value examination focuses on studying past and present price action to predict the probability of Nitori Holdings' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Nitori Holdings' price. Additionally, you may evaluate how the addition of Nitori Holdings to your portfolios can decrease your overall portfolio volatility.
| Earnings Calls Check upcoming earnings announcements updated hourly across public exchanges | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |