CSWI Old Stock Forecast - Polynomial Regression
| CSWIDelisted Stock | USD 305.10 4.41 1.42% |
The Polynomial Regression forecasted value of CSWI Old on the next trading day is expected to be 289.89 with a mean absolute deviation of 8.32 and the sum of the absolute errors of 507.49. CSWI Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CSWI Old's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 16th of January 2026 the value of rsi of CSWI Old'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 CSWI Old hype-based prediction, you can estimate the value of CSWI Old from the perspective of CSWI Old response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of CSWI Old on the next trading day is expected to be 289.89 with a mean absolute deviation of 8.32 and the sum of the absolute errors of 507.49. CSWI Old after-hype prediction price | $ 305.1 |
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 delisted stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
CSWI |
CSWI Old Additional Predictive Modules
Most predictive techniques to examine CSWI price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for CSWI using various technical indicators. When you analyze CSWI 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 |
CSWI Old Polynomial Regression Price Forecast For the 17th of January 2026
Given 90 days horizon, the Polynomial Regression forecasted value of CSWI Old on the next trading day is expected to be 289.89 with a mean absolute deviation of 8.32, mean absolute percentage error of 115.16, and the sum of the absolute errors of 507.49.Please note that although there have been many attempts to predict CSWI 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 CSWI Old's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CSWI Old Stock Forecast Pattern
| Backtest CSWI Old | CSWI Old Price Prediction | Buy or Sell Advice |
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 CSWI Old stock data series using in forecasting. Note that when a statistical model is used to represent CSWI Old 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 | 122.8568 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.3195 |
| MAPE | Mean absolute percentage error | 0.0281 |
| SAE | Sum of the absolute errors | 507.4881 |
Predictive Modules for CSWI Old
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CSWI Old. 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 CSWI Old'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.
CSWI Old 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 CSWI Old stock to make a market-neutral strategy. Peer analysis of CSWI Old could also be used in its relative valuation, which is a method of valuing CSWI Old by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CSWI Old Market Strength Events
Market strength indicators help investors to evaluate how CSWI Old stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CSWI Old shares will generate the highest return on investment. By undertsting and applying CSWI Old stock market strength indicators, traders can identify CSWI Old entry and exit signals to maximize returns.
| Accumulation Distribution | 0.0193 | |||
| Daily Balance Of Power | (0.73) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 307.44 | |||
| Day Typical Price | 306.66 | |||
| Market Facilitation Index | 6.0 | |||
| Price Action Indicator | (4.54) | |||
| Period Momentum Indicator | (4.41) |
Currently Active Assets on Macroaxis
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
Other Consideration for investing in CSWI Stock
If you are still planning to invest in CSWI Old check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the CSWI Old's history and understand the potential risks before investing.
| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Stocks Directory Find actively traded stocks across global markets | |
| AI Portfolio Prophet Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments |