Neo Performance Materials Stock Technical Analysis

NOPMF Stock  USD 18.24  -0.50  -2.67%   
As of the 9th of March, Neo Performance is trading near 18.24 per share. Technical analytics identify Mean Deviation of 2.45, risk adjusted performance of 0.1581, and Downside Deviation of 2.44. The analytical framework assesses directional consistency across time frames. Peer-relative positioning is derived from normalized indicator data.

Neo Performance Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Neo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Neo
  
Neo Performance's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.
It is useful to distinguish Neo Performance's value from its trading price, which are computed with different methods. Reviewing financial results, valuation ratios, and competitive positioning helps frame the value discussion. The quoted price is simply the exchange level where supply meets demand.

Neo Performance 'What if' Analysis

Running a what-if backtest on Neo Performance Materials gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Neo Performance's historical reward profile was stable enough to support the current thesis.
0.00
12/09/2025
 
No Change 0.00  0.0 
In 3 months and 1 day
 
03/09/2026
0.00
An initial  0.00  allocation to Neo Performance on December 9, 2025 held through today would generate 0.00 in overall gains. In total, that is a 0.0% total return in Neo Performance for the period across 90 days.. Neo Performance is often compared with DL Industries, SGL Carbon, Omai Gold, Chalice Mining, Rare Element, Boss Resources, and BCI Minerals based on sector and business overlap. The list provides context for relative analysis. Neo Performance Materials Inc. manufactures and sells rare earth, magnetic powders, magnets, and rare metal-based functi... More

Neo Performance Momentum Range Indicators Dashboard

This section highlights upside and downside signals that contextualize Neo Performance price behavior. The indicators are presented as neutral context for price dynamics.

Neo Performance Volatility and Risk Indicators Dashboard

This section presents risk metrics that describe Neo Performance's historical price variability. The indicators highlight how volatility has behaved across recent periods.
While mean reversion in Neo Performance's is a statistically observable tendency, it operates on uncertain timelines. Positions sized too aggressively against the trend can suffer sustained losses before reversion occurs.
Hype
Prediction
LowEstimatedHigh
14.8018.2421.68
Details
Intrinsic
Valuation
LowRealHigh
10.9214.3620.06
Details
Naive
Forecast
LowNextHigh
14.7218.1621.59
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.00010.00010.0001
Details
To derive maximum value from Neo Performance analysis, compare Neo Performance's metrics against peers. This cross-sectional approach separates idiosyncratic performance from sector-level trends.

Neo Performance Technical Indicators

Neo Performance Materials Backtested Returns

Neo Performance continues to exhibit a stable performance profile over the designated horizon. It maintains a Sharpe Ratio of 0.21, illustrating dispersion-adjusted performance. We identified thirty technical indicators influencing the company's volatility profile. Please examine metrics such as mean deviation of 2.45, risk-adjusted performance of 0.1581, and Downside Deviation of 2.44 to validate volatility assumptions. On a scale of 0 to 100, Neo Performance holds a performance score of 16. The company owns a Beta (Systematic Risk) of 1.86, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Neo Performance will likely underperform. Please confirm Neo Performance's the relationship between the downside variance and day median price , to make a quick decision on whether Neo Performance's historical returns will revert.
Auto-correlation
    
  0.87  

Very good predictability

Neo Performance Materials exhibits very good predictability. Autocorrelation measures the degree of predictability between Neo Performance time series from 9th of December 2025 to 23rd of January 2026 and from 23rd of January 2026 to 9th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Neo Performance Materials may be projected. A serial correlation of 0.87 indicates that approximately 87.0% of current Neo Performance price fluctuations can be explained by its historical price movements.
Correlation Coefficient0.87
Spearman Rank Test0.71
Residual Average0.0
Price Variance5.18
Technical analysis for Neo Performance examines price and volume behavior across market regimes. The analysis highlights moving averages, RSI, and price correlation signals across the otc cycle.
Technical analysis centers on price behavior, trend development, and repeatable patterns. The focus is on repeatable price behavior and identifiable trend conditions. More Info...

Neo Performance Materials Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Neo Performance Materials volatility. High ATR values indicate high volatility, and low values indicate low volatility.

Reading the Chart: Neo Performance

Technical analysis of Neo Performance evaluates price structure, momentum, and volatility clustering. Market-sensitive characteristics amplify cycle exposure. Neo Performance is assessed in terms of its structural contribution to portfolio diversification and long-term stability.

Methodology

Unless otherwise specified, financial data for Neo Performance Materials is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Neo (USA Stocks:NOPMF) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions Technical and fundamental diagnostic scores are rule-based values computed from historical price and fundamental inputs.

Assumptions

This report is built using public filings and market reference sources and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small timing offsets. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Analyst Sources

Neo Performance Materials may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

Neo Performance Technical Indicators

A technical review of Neo Performance Materials can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.

Neo Performance March 9, 2026 Daily Trend Indicators

A technical review of Neo Performance Materials can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.

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