Holcim Pink Sheet Forward View - 8 Period Moving Average

HCMLF Pink Sheet  USD 96.18  2.98  3.20%   
Holcim's 8 Period Moving Average forecast is computed from observed closing prices over the selected horizon. The accuracy statistics below distinguish a well-fitted model from one that is smoothing over meaningful price movement. The fit is assessed against recent observations, so the output reflects the latest available data. When MAPE exceeds 10%, the model's short-term predictive value is significantly reduced. The 8 Period Moving Average model projects Holcim at 93.85 for the next trading day, below the most recent closing price. The 8 Period Moving Average output reflects statistical model results and is provided for reference purposes.
The eight-period moving average forecast for Holcim replaces each daily closing price with the mean of that value and the eight preceding observations. This wider window produces a smoother series that filters out short-term volatility.

8 Period Moving Average Price Forecast For the 8th of May

Over a 90-day horizon, the 8 Period Moving Average model forecasts Holcim at 93.85 for the next trading day, with a mean absolute deviation of 2.38 , mean absolute percentage error of 0.03 , and sum of absolute errors of 128.77 .
This represents a tight forecast with good short-term tracking of Holcim's price movement. This output is intended for short-term analytical reference.

Pink Sheet Forecast Pattern

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Forecasted Value

The next-day forecast range for Holcim defines statistically derived downside and upside boundaries based on model performance. The forecast band spans 91.76 to 95.94. The moderate spread reflects defined uncertainty around the forecast.
Market Value
96.18
93.85
Expected Value
95.94

Model Predictive Factors

The table below summarizes the 8 Period Moving Average model's error metrics for Holcim pink sheet. Lower MAD and MAPE values indicate tighter forecast accuracy. AIC measures relative model quality — lower values indicate less information loss and a better-fitting model. A large Bias suggests systematic over- or under-prediction.
AICAkaike Information Criteria107.6079
BiasArithmetic mean of the errors -0.1662
MADMean absolute deviation2.3846
MAPEMean absolute percentage error0.0276
SAESum of the absolute errors128.77
The eight-period window effectively dampens daily peaks and troughs in Holcim price data, making the underlying trend more visible. However, the model can only be used reliably for one or two periods ahead. A flat forecast line in a trending market indicates the smoothing window is too wide for the current price dynamics.

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 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 is more meaningful 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

For investors tracking Holcim, market strength indicators offer quantitative evaluation of pink sheet behavior. When Rate of Change diverges from price direction, it often signals weakening momentum before a visible reversal in Holcim. These metrics are particularly useful when Holcim pink sheet shows divergence from broader market trends. These metrics provide additional context for comparing intraday conviction with broader price movement in Holcim.

Holcim Risk Indicators

Analyzing Holcim's basic risk indicators provides a structured view of the risk-return trade-off for holcim pink sheet. Expected shortfall estimates the average loss in the worst-case tail scenarios, going beyond what standard deviation alone captures for Holcim. Semi-deviation focuses exclusively on returns below the mean, making it a more conservative risk gauge for Holcim than full standard deviation. The risk-return trade-off for holcim pink sheet becomes clearer when downside and total variance are viewed together.
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.

More Resources for Holcim Pink Sheet Analysis

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