Hardwoods Distribution Stock Technical Analysis
| HDIUF Stock | USD 27.98 0.06 0.21% |
As of the 1st of February, Hardwoods Distribution retains the Risk Adjusted Performance of 0.0979, downside deviation of 4.47, and Market Risk Adjusted Performance of (0.83). Hardwoods Distribution technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices. Please check out Hardwoods Distribution variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Hardwoods Distribution is priced fairly, providing market reflects its last-minute price of 27.98 per share. Given that Hardwoods Distribution has jensen alpha of 0.2461, we strongly advise you to confirm Hardwoods Distribution's regular market performance to make sure the company can sustain itself at a future point.
Hardwoods Distribution Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hardwoods, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HardwoodsHardwoods |
Hardwoods Distribution 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Hardwoods Distribution's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Hardwoods Distribution.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Hardwoods Distribution on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Hardwoods Distribution or generate 0.0% return on investment in Hardwoods Distribution over 90 days. Hardwoods Distribution is related to or competes with Daiwa Industries, Shenzhen Investment, Skellerup Holdings, WashTec AG, Grindrod, BTS Group, and Nederman Holding. Hardwoods Distribution Inc. engages in the wholesale distribution of architectural building products to the residential,... More
Hardwoods Distribution Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Hardwoods Distribution's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Hardwoods Distribution upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.47 | |||
| Information Ratio | 0.1036 | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 2.57 |
Hardwoods Distribution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hardwoods Distribution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hardwoods Distribution's standard deviation. In reality, there are many statistical measures that can use Hardwoods Distribution historical prices to predict the future Hardwoods Distribution's volatility.| Risk Adjusted Performance | 0.0979 | |||
| Jensen Alpha | 0.2461 | |||
| Total Risk Alpha | 0.1424 | |||
| Sortino Ratio | 0.045 | |||
| Treynor Ratio | (0.84) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hardwoods Distribution's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hardwoods Distribution February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0979 | |||
| Market Risk Adjusted Performance | (0.83) | |||
| Mean Deviation | 0.8814 | |||
| Semi Deviation | 1.37 | |||
| Downside Deviation | 4.47 | |||
| Coefficient Of Variation | 789.43 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.78 | |||
| Information Ratio | 0.1036 | |||
| Jensen Alpha | 0.2461 | |||
| Total Risk Alpha | 0.1424 | |||
| Sortino Ratio | 0.045 | |||
| Treynor Ratio | (0.84) | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 2.57 | |||
| Downside Variance | 20.01 | |||
| Semi Variance | 1.88 | |||
| Expected Short fall | (1.86) | |||
| Skewness | (0.03) | |||
| Kurtosis | 10.01 |
Hardwoods Distribution Backtested Returns
Hardwoods Distribution appears to be very steady, given 3 months investment horizon. Hardwoods Distribution holds Efficiency (Sharpe) Ratio of 0.1, which attests that the entity had a 0.1 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Hardwoods Distribution, which you can use to evaluate the volatility of the firm. Please utilize Hardwoods Distribution's Downside Deviation of 4.47, risk adjusted performance of 0.0979, and Market Risk Adjusted Performance of (0.83) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hardwoods Distribution holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of -0.28, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hardwoods Distribution are expected to decrease at a much lower rate. During the bear market, Hardwoods Distribution is likely to outperform the market. Please check Hardwoods Distribution's semi variance, and the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Hardwoods Distribution's current trending patterns will revert.
Auto-correlation | -0.66 |
Very good reverse predictability
Hardwoods Distribution has very good reverse predictability. Overlapping area represents the amount of predictability between Hardwoods Distribution time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Hardwoods Distribution price movement. The serial correlation of -0.66 indicates that around 66.0% of current Hardwoods Distribution price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.51 | |
| Residual Average | 0.0 | |
| Price Variance | 4.44 |
Hardwoods Distribution technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
Hardwoods Distribution Technical Analysis
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 Hardwoods Distribution volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Hardwoods Distribution Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Hardwoods Distribution on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Hardwoods Distribution based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hardwoods Distribution price pattern first instead of the macroeconomic environment surrounding Hardwoods Distribution. By analyzing Hardwoods Distribution's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Hardwoods Distribution's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Hardwoods Distribution specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hardwoods Distribution February 1, 2026 Technical Indicators
Most technical analysis of Hardwoods help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Hardwoods from various momentum indicators to cycle indicators. When you analyze Hardwoods charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0979 | |||
| Market Risk Adjusted Performance | (0.83) | |||
| Mean Deviation | 0.8814 | |||
| Semi Deviation | 1.37 | |||
| Downside Deviation | 4.47 | |||
| Coefficient Of Variation | 789.43 | |||
| Standard Deviation | 1.94 | |||
| Variance | 3.78 | |||
| Information Ratio | 0.1036 | |||
| Jensen Alpha | 0.2461 | |||
| Total Risk Alpha | 0.1424 | |||
| Sortino Ratio | 0.045 | |||
| Treynor Ratio | (0.84) | |||
| Maximum Drawdown | 10.33 | |||
| Value At Risk | (0.74) | |||
| Potential Upside | 2.57 | |||
| Downside Variance | 20.01 | |||
| Semi Variance | 1.88 | |||
| Expected Short fall | (1.86) | |||
| Skewness | (0.03) | |||
| Kurtosis | 10.01 |
Hardwoods Distribution February 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Hardwoods stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 27.98 | ||
| Day Typical Price | 27.98 | ||
| Price Action Indicator | (0.03) |
Complementary Tools for Hardwoods Pink Sheet analysis
When running Hardwoods Distribution's price analysis, check to measure Hardwoods Distribution's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Hardwoods Distribution is operating at the current time. Most of Hardwoods Distribution's value examination focuses on studying past and present price action to predict the probability of Hardwoods Distribution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hardwoods Distribution's price. Additionally, you may evaluate how the addition of Hardwoods Distribution to your portfolios can decrease your overall portfolio volatility.
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