Doximity Stock Forward View
| DOCS Stock | USD 25.03 0.62 2.54% |
Doximity's Naive Prediction 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 Doximity. This page is updated as new daily closing prices become available for Doximity.
The Naive Prediction forecasted value of Doximity on the next trading day is expected to be 22.04 with a mean absolute deviation of 1.23 and the sum of the absolute errors of 76.51.This model is not at all useful as a medium-long range forecasting tool of Doximity. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Doximity. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights. All Naive Prediction forecast figures shown for Doximity are reference data reflecting model output based on available historical prices. Doximity Cash Forecast
Financial forecasting for Doximity applies quantitative methods to Doximity's historical cash flow data. Revenue trends, working capital cycles, and capital expenditure patterns are embedded in Doximity's historical statements. Working capital efficiency and margin trends are critical inputs to Doximity's cash flow forecast. Modeling how these drivers interact produces a more complete cash flow forecast for Doximity.
Cash | First Reported 2020-03-31 | Previous Quarter 169.2 M | Current Value 64.8 M | Quarterly Volatility 147 M |
Macro event markers
Naive Prediction Price Forecast For the 25th of March
Given 90 days horizon, the Naive Prediction forecasted value of Doximity on the next trading day is expected to be 22.04 with a mean absolute deviation of 1.23 , mean absolute percentage error of 2.26 , and the sum of the absolute errors of 76.51 .Please note that although there have been many attempts to predict Doximity 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 Doximity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest Doximity | Doximity Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Doximity focuses on identifying predictive downside and upside bands that can frame a realistic trading range. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Doximity stock data series using in forecasting. Note that when a statistical model is used to represent Doximity 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 | 120.762 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.234 |
| MAPE | Mean absolute percentage error | 0.0402 |
| SAE | Sum of the absolute errors | 76.5069 |
Other Forecasting Options for Doximity
Bollinger Bands applied to Doximity Stock price data measure how far Doximity has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to Doximity's price data. On-balance volume for Doximity Stock creates a running indicator of buying versus selling pressure in Doximity. Price departures from the channel boundary often mean-revert, offering tactical signals for Doximity's.Doximity Related Equities
These related stocks within the Health Care space give benchmarks for judging Doximity's results, margins, and growth trend. Profit comparisons show whether Doximity earns above or below average returns next to its peers. Peer pricing works best when the firms compared share similar business models and end markets.
| Risk & Return | Correlation |
Doximity Market Strength Events
For investors tracking Doximity, market strength indicators offer quantitative evaluation of stock behavior. These indicators add context to timing decisions around Doximity positions. These indicators capture shifts in momentum that may precede significant price moves in Doximity. These metrics provide actionable context for both entry and risk management decisions around Doximity.
Doximity Risk Indicators
Analyzing Doximity's basic risk indicators provides investors with a structured view of the risk-return trade-off for doximity stock. By identifying the level of risk embedded in Doximity's investment, investors can make informed decisions about position sizing. Analyzing Doximity's risk indicators gives investors important context for price forecasting. Understanding the risk in Doximity's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 2.23 | |||
| Standard Deviation | 3.3 | |||
| Variance | 10.9 |
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 Doximity
Story coverage around Doximity 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.
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Doximity Short Properties
Reviewing short-oriented indicators for Doximity is useful because long and short participants often create very different signals for timing and volatility. The practical goal is to identify when the balance between long and short participation may be changing the quality of the setup.
| Common Stock Shares Outstanding | 201.2 M | |
| Cash And Short Term Investments | 915.7 M |
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