Chime Financial Stock Forecast - Polynomial Regression
| CHYM Stock | 26.72 1.21 4.33% |
The Polynomial Regression forecasted value of Chime Financial Class on the next trading day is expected to be 26.95 with a mean absolute deviation of 0.81 and the sum of the absolute errors of 50.40. Chime Stock Forecast is based on your current time horizon.
As of now the relative strength index (rsi) of Chime Financial's share price is below 20 suggesting that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Chime Financial hype-based prediction, you can estimate the value of Chime Financial Class from the perspective of Chime Financial response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Chime Financial Class on the next trading day is expected to be 26.95 with a mean absolute deviation of 0.81 and the sum of the absolute errors of 50.40. Chime Financial after-hype prediction price | USD 26.72 |
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 Chime Financial to cross-verify your projections. Chime Financial Additional Predictive Modules
Most predictive techniques to examine Chime price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Chime using various technical indicators. When you analyze Chime 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 |
Chime Financial Polynomial Regression Price Forecast For the 15th of January 2026
Given 90 days horizon, the Polynomial Regression forecasted value of Chime Financial Class on the next trading day is expected to be 26.95 with a mean absolute deviation of 0.81, mean absolute percentage error of 1.18, and the sum of the absolute errors of 50.40.Please note that although there have been many attempts to predict Chime 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 Chime Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Chime Financial Stock Forecast Pattern
| Backtest Chime Financial | Chime Financial Price Prediction | Buy or Sell Advice |
Chime Financial Forecasted Value
In the context of forecasting Chime Financial'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. Chime Financial's downside and upside margins for the forecasting period are 23.12 and 30.77, respectively. We have considered Chime Financial'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Chime Financial stock data series using in forecasting. Note that when a statistical model is used to represent Chime Financial 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 | 120.1167 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.813 |
| MAPE | Mean absolute percentage error | 0.0383 |
| SAE | Sum of the absolute errors | 50.4041 |
Predictive Modules for Chime Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chime Financial Class. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Chime Financial'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.
Other Forecasting Options for Chime Financial
For every potential investor in Chime, whether a beginner or expert, Chime Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Chime Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Chime. Basic forecasting techniques help filter out the noise by identifying Chime Financial's price trends.Chime Financial 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 Chime Financial stock to make a market-neutral strategy. Peer analysis of Chime Financial could also be used in its relative valuation, which is a method of valuing Chime Financial by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Chime Financial Class 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 Chime Financial'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 Chime Financial's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Chime Financial Market Strength Events
Market strength indicators help investors to evaluate how Chime Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Chime Financial shares will generate the highest return on investment. By undertsting and applying Chime Financial stock market strength indicators, traders can identify Chime Financial Class entry and exit signals to maximize returns.
| Accumulation Distribution | 280524.0 | |||
| Daily Balance Of Power | (0.75) | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 26.77 | |||
| Day Typical Price | 26.75 | |||
| Price Action Indicator | (0.66) | |||
| Period Momentum Indicator | (1.21) |
Chime Financial Risk Indicators
The analysis of Chime Financial'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 Chime Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting chime 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 | 3.16 | |||
| Semi Deviation | 3.51 | |||
| Standard Deviation | 4.04 | |||
| Variance | 16.3 | |||
| Downside Variance | 14.98 | |||
| Semi Variance | 12.32 | |||
| Expected Short fall | (3.36) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet 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 ProphetCheck out Historical Fundamental Analysis of Chime Financial to cross-verify your projections. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Is Transaction & Payment Processing Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Chime Financial. If investors know Chime will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Chime Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of Chime Financial Class is measured differently than its book value, which is the value of Chime that is recorded on the company's balance sheet. Investors also form their own opinion of Chime Financial's value that differs from its market value or its book value, called intrinsic value, which is Chime Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Chime Financial's market value can be influenced by many factors that don't directly affect Chime Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Chime Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Chime Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Chime Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.