Aqua Power Pink Sheet Forecast - Simple Regression

APSI Stock  USD 0.02  0  6.82%   
The Simple Regression forecasted value of Aqua Power Systems on the next trading day is expected to be 0.03 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09. Aqua Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Aqua Power's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of 25th of January 2026 the relative strength index (rsi) of Aqua Power's share price is below 20 . This suggests that the pink sheet 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
The successful prediction of Aqua Power's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Aqua Power Systems, which may create opportunities for some arbitrage if properly timed.
Using Aqua Power hype-based prediction, you can estimate the value of Aqua Power Systems from the perspective of Aqua Power response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Aqua Power Systems on the next trading day is expected to be 0.03 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09.

Aqua Power after-hype prediction price

    
  USD 0.02  
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Aqua Power to cross-verify your projections.

Aqua Power Additional Predictive Modules

Most predictive techniques to examine Aqua price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Aqua using various technical indicators. When you analyze Aqua 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Aqua Power price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Aqua Power Simple Regression Price Forecast For the 26th of January

Given 90 days horizon, the Simple Regression forecasted value of Aqua Power Systems on the next trading day is expected to be 0.03 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000326, and the sum of the absolute errors of 0.09.
Please note that although there have been many attempts to predict Aqua 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 Aqua Power's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Aqua Power Pink Sheet Forecast Pattern

Backtest Aqua PowerAqua Power Price PredictionBuy or Sell Advice 

Aqua Power Forecasted Value

In the context of forecasting Aqua Power's 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. Aqua Power's downside and upside margins for the forecasting period are 0.0002 and 6.09, respectively. We have considered Aqua Power'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.
Market Value
0.02
0.0002
Downside
0.03
Expected Value
6.09
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Aqua Power pink sheet data series using in forecasting. Note that when a statistical model is used to represent Aqua Power 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.
AICAkaike Information Criteria105.4757
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0015
MAPEMean absolute percentage error0.0578
SAESum of the absolute errors0.0888
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Aqua Power Systems historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Aqua Power

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Aqua Power Systems. 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 Aqua Power'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.
Hype
Prediction
LowEstimatedHigh
0.000.026.13
Details
Intrinsic
Valuation
LowRealHigh
0.000.026.13
Details

Aqua Power After-Hype Price Prediction Density Analysis

As far as predicting the price of Aqua Power at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Aqua Power or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Pink Sheet prices, such as prices of Aqua Power, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Aqua Power Estimiated After-Hype Price Volatility

In the context of predicting Aqua Power's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Aqua Power's historical news coverage. Aqua Power's after-hype downside and upside margins for the prediction period are 0.00 and 6.13, respectively. We have considered Aqua Power's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
0.02
0.02
After-hype Price
6.13
Upside
Aqua Power is out of control at this time. Analysis and calculation of next after-hype price of Aqua Power Systems is based on 3 months time horizon.

Aqua Power Pink Sheet Price Prediction Analysis

Have you ever been surprised when a price of a Company such as Aqua Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Aqua Power backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Pink Sheet price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Aqua Power, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.02 
6.06
 0.00  
 0.00  
0 Events / Month
0 Events / Month
In 5 to 10 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
0.02
0.02
18.70 
0.00  
Notes

Aqua Power Hype Timeline

Aqua Power Systems is presently traded for 0.02. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Aqua is projected to decline in value after the next headline, with the price expected to drop to 0.02. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -18.7%, whereas the daily expected return is presently at -0.02%. The volatility of related hype on Aqua Power is about 0.0%, with the expected price after the next announcement by competition of 0.02. The company had not issued any dividends in recent years. Aqua Power Systems had 18:1 split on the 12th of August 2014. Given the investment horizon of 90 days the next projected press release will be in 5 to 10 days.
Check out Historical Fundamental Analysis of Aqua Power to cross-verify your projections.

Aqua Power Related Hype Analysis

Having access to credible news sources related to Aqua Power's direct competition is more important than ever and may enhance your ability to predict Aqua Power's future price movements. Getting to know how Aqua Power's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Aqua Power may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
FCICFCCC Inc 0.00 0 per month 0.00  0.12  0.00  0.00  100.00 
FBDSFuss Brands Corp 0.00 0 per month 0.00 (0.15) 0.00  0.00  17.01 
CCWFChurch Crawford 0.00 0 per month 0.00 (0.05) 19.05 (23.08) 67.25 
CLOWCloudweb 0.00 0 per month 4.09  0.04  5.88 (10.00) 63.68 
NIMUNon Invasive Monitoring Systems 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 
CAMGCAM Group 0.00 0 per month 0.00 (0) 0.00  0.00  100.00 
SRBTShanrong Biotechnology Corp 0.00 0 per month 8.56  0.04  7.69 (7.69) 133.33 
GYGCGuyana Gold Corp 0.00 0 per month 0.00  0.13  14.29 (10.87) 103.01 
CHIFChina Food and 0.00 0 per month 0.00  0.09  0.00  0.00  1,095 
PUGEPuget Technologies 0.00 0 per month 0.00  0.00  0.00  0.00  0.00 

Other Forecasting Options for Aqua Power

For every potential investor in Aqua, whether a beginner or expert, Aqua Power's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Aqua Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Aqua. Basic forecasting techniques help filter out the noise by identifying Aqua Power's price trends.

Aqua Power 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 Aqua Power pink sheet to make a market-neutral strategy. Peer analysis of Aqua Power could also be used in its relative valuation, which is a method of valuing Aqua Power by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Aqua Power Market Strength Events

Market strength indicators help investors to evaluate how Aqua Power 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 Aqua Power shares will generate the highest return on investment. By undertsting and applying Aqua Power pink sheet market strength indicators, traders can identify Aqua Power Systems entry and exit signals to maximize returns.

Aqua Power Risk Indicators

The analysis of Aqua Power'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 Aqua Power's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting aqua 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.
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 Aqua Power

The number of cover stories for Aqua Power depends on current market conditions and Aqua Power's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Aqua Power is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Aqua Power's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

Other Macroaxis Stories

Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios

Aqua Power Short Properties

Aqua Power's future price predictability will typically decrease when Aqua Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Aqua Power Systems often depends not only on the future outlook of the potential Aqua Power's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Aqua Power's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding554.5 M
Cash And Short Term Investments130.8 K

Other Information on Investing in Aqua Pink Sheet

Aqua Power financial ratios help investors to determine whether Aqua Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Aqua with respect to the benefits of owning Aqua Power security.