Holcim Pink Sheet Forward View

HCMLF Stock  USD 80.37  1.77  2.25%   
This reference view applies Naive Prediction to Holcim's historical closing prices. Holcim's Naive Prediction reference page summarizes the forecasted price and model accuracy metrics from daily trading data. Holcim's forecast reference data is generated from the equity's historical trading prices. Mean absolute deviation and related metrics help quantify forecast uncertainty for Holcim.
The Naive Prediction forecasted value of Holcim on the next trading day is expected to be 79.31 with a mean absolute deviation of 1.80 and the sum of the absolute errors of 109.55.This model is not at all useful as a medium-long range forecasting tool of Holcim. 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 Holcim. 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 forecast values on this page for Holcim are Naive Prediction reference data derived from historical price series.
A naive forecasting model for Holcim is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Holcim value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Naive Prediction Price Forecast For the 26th of March

Given 90 days horizon, the Naive Prediction forecasted value of Holcim on the next trading day is expected to be 79.31 with a mean absolute deviation of 1.80 , mean absolute percentage error of 4.81 , and the sum of the absolute errors of 109.55 .
Please note that although there have been many attempts to predict Holcim 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 Holcim's 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

For the next trading day, Macroaxis evaluates Holcim's predictive range by looking for statistically meaningful downside and upside boundaries. No forecasting approach has been shown to beat all others over time. Investors should treat any model output as a guide, not a guarantee.
Market Value
80.37
79.31
Expected Value
81.29
Upside

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 Holcim pink sheet data series using in forecasting. Note that when a statistical model is used to represent Holcim 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 Criteria119.6807
BiasArithmetic mean of the errors None
MADMean absolute deviation1.796
MAPEMean absolute percentage error0.0191
SAESum of the absolute errors109.5537
This model is not at all useful as a medium-long range forecasting tool of Holcim. 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 Holcim. 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.

Other Forecasting Options for Holcim

Volume-weighted price analysis for Holcim Pink Sheet gives heavier weight to price levels where trading activity was highest. Crossovers in the MACD line and signal line can identify shifts in Holcim momentum before they appear in raw price. Comparing Holcim's realized volatility to implied volatility reveals whether the options market expects larger or smaller moves. Readings above 80 or below 20 highlight potential reversal zones in Holcim Pink Sheet price action.

Holcim Related Equities

These related stocks within the Building Materials space give benchmarks for judging Holcim's results, margins, and growth trend. Market cap and total value checks frame Holcim's size within the competitive field. Peer pricing works best when the firms compared share similar business models and end markets. Tracking Holcim's results against these peers over time helps spot rising trends early.
 Risk & Return  Correlation

Holcim Market Strength Events

Evaluating the market strength of Holcim pink sheet allows investors to gauge shifts in market momentum. Monitoring these indicators highlights periods where Holcim trading conditions shift meaningfully. These metrics are particularly useful when Holcim pink sheet shows divergence from broader market trends. Regularly reviewing Holcim strength signals helps maintain a structured approach to position management.

Holcim Risk Indicators

Understanding Holcim's risk indicators is essential for any investor seeking to forecast its future price accurately. By identifying how much risk is embedded in Holcim's investment, investors can decide how to position their exposure. Reviewing Holcim's basic risk indicators is essential for managing investment risk effectively. The risk-return trade-off for holcim pink sheet becomes clearer when Holcim's risk indicators are properly assessed.
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 Holcim

The amount of media and story coverage tied to Holcim can signal where market attention is concentrating at the moment. A disciplined read of coverage separates durable relevance from temporary noise.

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.

More Resources for Holcim Pink Sheet Analysis

Other Information on Investing in Holcim Pink Sheet

At Holcim, financial ratios outline links between core financial data. The data reflects the most recent reporting period available and is provided for reference.