Jiangxi Copper Pink Sheet Forward View - Simple Moving Average

JIAXF Pink Sheet  USD 4.71  -0.03  -0.63%   
Simple Moving Average is applied to Jiangxi Copper's daily closing prices, and the resulting forecast is presented with accuracy metrics. Wide deviation between fitted and observed values suggests the model's assumptions may not match current market conditions. The Simple Moving Average model projects Jiangxi Copper at 4.71 for the next trading day, at the most recent closing price. This Simple Moving Average output is provided as analytical reference and does not constitute a trading recommendation.
The two-period moving average forecast for Jiangxi Copper replaces each daily closing price with the mean of that price and the preceding day's close. This produces a lightly smoothed series that closely tracks the actual price with a one-period lag.

Simple Moving Average Price Forecast For the 8th of May

Over a 90-day horizon, the Simple Moving Average model forecasts Jiangxi Copper at 4.71 for the next trading day, with a mean absolute deviation of 0.15 , mean absolute percentage error of 0.03 , and sum of absolute errors of 8.71 .
This represents a tight forecast with good short-term tracking of Jiangxi Copper'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 Jiangxi Copper defines statistically derived downside and upside boundaries based on model performance. The projected band runs from roughly 1.77 on the downside to about 7.65 on the upside. The wide range indicates elevated uncertainty in short-term projections.
Market Value
4.71
4.71
Expected Value
7.65

Model Predictive Factors

The table below summarizes the Simple Moving Average model's error metrics for Jiangxi Copper 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 Criteria113.2703
BiasArithmetic mean of the errors -0.0197
MADMean absolute deviation0.1451
MAPEMean absolute percentage error0.0289
SAESum of the absolute errors8.705
With only two periods, the model is highly responsive to recent Jiangxi Copper price changes but provides minimal noise reduction. It is best suited for short-term evaluation of low-to-moderate volatility price series. A widening gap between the forecast and actual values may indicate an acceleration in price momentum.

Other Forecasting Options for Jiangxi Copper

Jiangxi Copper's daily price returns decompose into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Jiangxi Copper often signals an upcoming reversal or acceleration.

Jiangxi Copper Related Equities

The peer firms below within the Copper space frame Jiangxi Copper's pricing and running costs in context. Return on equity across these peers shows how well each firm turns capital into profit.
 Risk & Return  Correlation

Jiangxi Copper Market Strength Events

Market strength indicators for Jiangxi Copper pink sheet provide a framework for assessing security responsiveness. A rising Accumulation/Distribution line alongside rising price confirms institutional buying interest in Jiangxi Copper.

Jiangxi Copper Risk Indicators

Assessing Jiangxi Copper's risk indicators is a structured way to evaluate the risk-return trade-off for jiangxi copper pink sheet. The level of risk embedded in Jiangxi Copper's feeds directly into exposure calibration.
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 Jiangxi Copper Pink Sheet Analysis

Financial ratios highlight how financial values interact within Jiangxi Copper. These metrics link profitability, liquidity, and valuation signals.