Biotech Medics Pink Sheet Forward View - Double Exponential Smoothing
| BMCS Stock | USD 0.0011 0.00 0.00% |
Biotech Medics Ne's Double Exponential Smoothing reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for Biotech Medics. This page is updated as new daily closing prices become available for Biotech Medics.
The Double Exponential Smoothing forecasted value of Biotech Medics Ne on the next trading day is expected to be 0.0011 with a mean absolute deviation of 0.0002 and the sum of the absolute errors of 0.01.When Biotech Medics Ne 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 Biotech Medics Ne 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 Biotech Medics observations are given relatively more weight in forecasting than the older observations. All Double Exponential Smoothing forecast figures shown for Biotech Medics Ne are reference data reflecting model output based on available historical prices. Double Exponential Smoothing Price Forecast For the 26th of March
Given 90 days horizon, the Double Exponential Smoothing forecasted value of Biotech Medics Ne on the next trading day is expected to be 0.0011 with a mean absolute deviation of 0.0002 , mean absolute percentage error of 0.00000055 , and the sum of the absolute errors of 0.01 .Please note that although there have been many attempts to predict Biotech Pink Sheet 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 Biotech Medics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Pink Sheet Forecast Pattern
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Forecasted Value
This next-day forecast for Biotech Medics Ne uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The current forecast range spans downside near 0.000011 and upside near 10.85.
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 Biotech Medics pink sheet data series using in forecasting. Note that when a statistical model is used to represent Biotech Medics 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 | Huge |
| Bias | Arithmetic mean of the errors | 1.0E-4 |
| MAD | Mean absolute deviation | 2.0E-4 |
| MAPE | Mean absolute percentage error | 0.0929 |
| SAE | Sum of the absolute errors | 0.0091 |
Other Forecasting Options for Biotech Medics
Bollinger Bands applied to Biotech Pink Sheet price data measure how far Biotech has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Biotech Medics' price data. On-balance volume for Biotech Pink Sheet creates a running indicator of buying versus selling pressure in Biotech. Price departures from the channel boundary often mean-revert, offering tactical signals for Biotech Medics'.Biotech Medics Related Equities
These stocks within the Drug Manufacturers—Specialty & Generic space are often compared to Biotech Medics by analysts and fund managers in the sector. Key comparison metrics include price-to-earnings, profit margin, and revenue growth across Biotech Medics' peer group. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into.
| Risk & Return | Correlation |
Biotech Medics Market Strength Events
For investors tracking Biotech Medics Ne, market strength indicators offer quantitative evaluation of pink sheet behavior. These indicators add context to timing decisions around Biotech Medics Ne positions. These indicators capture shifts in momentum that may precede significant price moves in Biotech Medics. These metrics provide actionable context for both entry and risk management decisions around Biotech Medics Ne.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 0.0011 | |||
| Day Typical Price | 0.0011 |
Biotech Medics Risk Indicators
Analyzing Biotech Medics' basic risk indicators provides investors with a structured view of the risk-return trade-off for biotech pink sheet. By identifying the level of risk embedded in Biotech Medics' investment, investors can make informed decisions about position sizing. Analyzing Biotech Medics' risk indicators gives investors important context for price forecasting. Understanding the risk in Biotech Medics' investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 3.1 | |||
| Standard Deviation | 10.51 | |||
| Variance | 110.53 |
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 Biotech Medics
Story coverage around Biotech Medics Ne often expands when market conditions, narrative momentum, or risk-adjusted performance make the security more visible to investors. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.
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