First Mining Stock Forward View
| FF Stock | CAD 0.47 -0.03 -6.00% |
First Mining Gold's Naive Prediction forecast reference data is generated from the equity's historical trading prices. This page presents the model output and associated accuracy measures as reference information.
The Naive Prediction forecasted value of First Mining Gold on the next trading day is expected to be 0.44 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.86.This model is not at all useful as a medium-long range forecasting tool of First Mining Gold. 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 First Mining. 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. The Naive Prediction projections for First Mining Gold are reference data based on historical daily prices and are provided as informational context. Naive Prediction Price Forecast For the 19th of March
Given 90 days horizon, the Naive Prediction forecasted value of First Mining Gold on the next trading day is expected to be 0.44 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0017 , and the sum of the absolute errors of 1.86 .Please note that although there have been many attempts to predict First 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 First Mining's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
| Backtest First Mining | First Mining Price Prediction | Research Analysis |
Forecasted Value
Forecasting First Mining Gold for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. At the moment, the model places downside around 0.0047 and upside around 5.87 for the forecasting period.
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 First Mining stock data series using in forecasting. Note that when a statistical model is used to represent First Mining 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 | 111.7444 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0305 |
| MAPE | Mean absolute percentage error | 0.0497 |
| SAE | Sum of the absolute errors | 1.8576 |
Other Forecasting Options for First Mining
The price trajectory of First is the primary concern for any investor assessing it as an opportunity. First Stock price charts are filled with noise that can easily mislead uninformed investment decisions.First Mining Related Equities
The following equities are related to First Mining within the Materials space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing First Mining against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
First Mining Market Strength Events
Understanding the market strength of First Mining stock enables investors to assess the security's momentum and responsiveness to broader market forces. These indicators are essential tools for timing trades in First Mining Gold with greater precision.
| Accumulation Distribution | 360072.0 | |||
| Daily Balance Of Power | -1.00 | |||
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 0.49 | |||
| Day Typical Price | 0.48 | |||
| Price Action Indicator | -0.03 | |||
| Period Momentum Indicator | -0.03 |
First Mining Risk Indicators
Reviewing First Mining's basic risk indicators is essential for investors who want to forecast its price and manage their investment risk effectively. This analysis helps identify the amount of risk involved in holding First Mining's and informs decisions about hedging and position.
| Mean Deviation | 4.22 | |||
| Standard Deviation | 5.27 | |||
| Variance | 27.81 |
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 First Mining
The amount of media and story coverage tied to First Mining Gold can signal where market attention is concentrating at the moment. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
Other Macroaxis Stories
Macroaxis publishes story content for a diverse readership that includes finance students, independent investors, money managers, and market-focused operating teams. What connects that audience is a focus on building stronger portfolios through better research, risk awareness, and comparative analysis.
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First Mining Short Properties
Reviewing short-oriented indicators for First Mining Gold is useful because long and short participants often create very different signals for timing and volatility. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 971.5 M | |
| Cash And Short Term Investments | 13.7 M |
More Resources for First Stock Analysis
Other Information on Investing in First Stock
First Mining financial ratios provide valuation context across profits, cash flow, and enterprise value. They help compare First across valuation measures and peers.