BillionToOne Stock Forward View - Double Exponential Smoothing

BLLN Stock   90.61  5.46  6.41%   
BillionToOne Stock outlook is based on your current time horizon. Although BillionToOne's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of BillionToOne's systematic risk associated with finding meaningful patterns of BillionToOne fundamentals over time.
As of today the relative strength index (rsi) of BillionToOne'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
The successful prediction of BillionToOne's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with BillionToOne Class A, which may create opportunities for some arbitrage if properly timed. Below are the key fundamental drivers impacting BillionToOne's stock price prediction:
EPS Estimate Current Year
0.295
EPS Estimate Next Year
0.38
Wall Street Target Price
135.2857
Quarterly Revenue Growth
1.174
Using BillionToOne hype-based prediction, you can estimate the value of BillionToOne Class A from the perspective of BillionToOne response to recently generated media hype and the effects of current headlines on its competitors.

BillionToOne Relative Strength Index

The Double Exponential Smoothing forecasted value of BillionToOne Class A on the next trading day is expected to be 88.65 with a mean absolute deviation of 4.61 and the sum of the absolute errors of 272.21.

BillionToOne Class Hype to Price Pattern

Investor biases related to BillionToOne's public news can be used to forecast risks associated with an investment in BillionToOne. The trend in average sentiment can be used to explain how an investor holding BillionToOne can time the market purely based on public headlines and social activities around BillionToOne Class A. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of BillionToOne's market sentiment to its price can help taders to make decisions based on the overall investors consensus about BillionToOne.
The Double Exponential Smoothing forecasted value of BillionToOne Class A on the next trading day is expected to be 88.65 with a mean absolute deviation of 4.61 and the sum of the absolute errors of 272.21.

BillionToOne after-hype prediction price

    
  USD 90.57  
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 BillionToOne to cross-verify your projections.

BillionToOne Additional Predictive Modules

Most predictive techniques to examine BillionToOne price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BillionToOne using various technical indicators. When you analyze BillionToOne 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.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for BillionToOne works best with periods where there are trends or seasonality.

BillionToOne Double Exponential Smoothing Price Forecast For the 9th of February

Given 90 days horizon, the Double Exponential Smoothing forecasted value of BillionToOne Class A on the next trading day is expected to be 88.65 with a mean absolute deviation of 4.61, mean absolute percentage error of 37.60, and the sum of the absolute errors of 272.21.
Please note that although there have been many attempts to predict BillionToOne 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 BillionToOne's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BillionToOne Stock Forecast Pattern

Backtest BillionToOne  BillionToOne Price Prediction  Research Analysis  

BillionToOne Forecasted Value

In the context of forecasting BillionToOne'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. BillionToOne's downside and upside margins for the forecasting period are 82.91 and 94.39, respectively. We have considered BillionToOne'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
90.61
88.65
Expected Value
94.39
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of BillionToOne stock data series using in forecasting. Note that when a statistical model is used to represent BillionToOne 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 CriteriaHuge
BiasArithmetic mean of the errors -1.7703
MADMean absolute deviation4.6137
MAPEMean absolute percentage error0.0467
SAESum of the absolute errors272.21
When BillionToOne Class A prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any BillionToOne Class A trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent BillionToOne observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for BillionToOne

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BillionToOne 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.
Hype
Prediction
LowEstimatedHigh
84.8390.5796.31
Details
Intrinsic
Valuation
LowRealHigh
76.7082.4499.67
Details
Earnings
Estimates (0)
LowProjected EPSHigh
0.050.10.14
Details

BillionToOne After-Hype Price Density Analysis

As far as predicting the price of BillionToOne 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 BillionToOne 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 Stock prices, such as prices of BillionToOne, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

BillionToOne Estimiated After-Hype Price Volatility

In the context of predicting BillionToOne's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BillionToOne's historical news coverage. BillionToOne's after-hype downside and upside margins for the prediction period are 84.83 and 96.31, respectively. We have considered BillionToOne'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
90.61
90.57
After-hype Price
96.31
Upside
BillionToOne is very steady at this time. Analysis and calculation of next after-hype price of BillionToOne Class is based on 3 months time horizon.

BillionToOne Stock Price Outlook Analysis

Have you ever been surprised when a price of a Company such as BillionToOne is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BillionToOne 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 Stock 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 BillionToOne, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.03 
5.74
  0.04 
  0.01 
32 Events / Month
6 Events / Month
In about 32 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
90.61
90.57
0.04 
490.60  
Notes

BillionToOne Hype Timeline

BillionToOne Class is currently traded for 90.61. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of 0.01. BillionToOne is expected to decline in value after the next headline, with the price expected to drop to 90.57. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.04%, whereas the daily expected return is currently at -0.03%. The volatility of related hype on BillionToOne is about 1739.39%, with the expected price after the next announcement by competition of 90.62. About 20.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.25. BillionToOne Class had not issued any dividends in recent years. Given the investment horizon of 90 days the next expected press release will be in about 32 days.
Check out Historical Fundamental Analysis of BillionToOne to cross-verify your projections.

BillionToOne Related Hype Analysis

Having access to credible news sources related to BillionToOne's direct competition is more important than ever and may enhance your ability to predict BillionToOne's future price movements. Getting to know how BillionToOne'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 BillionToOne 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
IINNInspira Technologies Oxy 0.07 9 per month 0.00 (0.07) 7.29 (7.14) 24.08 
PTHLPheton Holdings Ltd 0.05 6 per month 6.77  0.02  6.56 (9.84) 136.77 
TNONTenon Medical(0.03)9 per month 0.00 (0.25) 5.61 (7.21) 18.03 
BMRABiomerica(0.05)7 per month 0.00 (0.1) 4.12 (5.21) 18.44 
HSCSHeart Test Laboratories(0.05)7 per month 5.11  0.02  11.07 (7.86) 26.18 
SSKNSTRATA Skin Sciences(0.06)7 per month 0.00 (0.16) 7.35 (7.30) 18.95 
APVOAptevo Therapeutics 0.52 9 per month 0.00 (0.28) 7.81 (10.34) 43.37 
ADVBAdvanced Biomed Common(0.02)5 per month 0.00 (0.18) 8.11 (9.68) 28.22 
BNRBurning Rock Biotech 2.54 7 per month 6.76  0.19  18.91 (13.63) 50.29 

Other Forecasting Options for BillionToOne

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

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

BillionToOne Market Strength Events

Market strength indicators help investors to evaluate how BillionToOne stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BillionToOne shares will generate the highest return on investment. By undertsting and applying BillionToOne stock market strength indicators, traders can identify BillionToOne Class A entry and exit signals to maximize returns.

BillionToOne Risk Indicators

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

The number of cover stories for BillionToOne depends on current market conditions and BillionToOne's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BillionToOne 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 BillionToOne'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

BillionToOne Short Properties

BillionToOne's future price predictability will typically decrease when BillionToOne's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of BillionToOne Class A often depends not only on the future outlook of the potential BillionToOne'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. BillionToOne's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding44.7 M
Cash And Short Term Investments191.5 M
Shares Float22.9 M
When determining whether BillionToOne Class offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of BillionToOne's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Billiontoone Class A Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Billiontoone Class A Stock:
Check out Historical Fundamental Analysis of BillionToOne to cross-verify your projections.
You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Will Health Care Equipment & Supplies sector continue expanding? Could BillionToOne diversify its offerings? Factors like these will boost the valuation of BillionToOne. Projected growth potential of BillionToOne fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every BillionToOne data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Earnings Share
(0.25)
Revenue Per Share
24.613
Quarterly Revenue Growth
1.174
The market value of BillionToOne Class is measured differently than its book value, which is the value of BillionToOne that is recorded on the company's balance sheet. Investors also form their own opinion of BillionToOne's value that differs from its market value or its book value, called intrinsic value, which is BillionToOne's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because BillionToOne's market value can be influenced by many factors that don't directly affect BillionToOne's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between BillionToOne's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding BillionToOne should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, BillionToOne's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.