Smart Decision Stock Technical Analysis
| SDEC Stock | USD 0.0001 0.00 0.00% |
In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Smart Decision, as well as the relationship between them.
Smart Decision Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Smart, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmartSmart |
Smart Decision '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 Smart Decision'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 Smart Decision.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Smart Decision on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Smart Decision or generate 0.0% return on investment in Smart Decision over 90 days. Smart Decision, Inc. engages in developing algorithms for the consumer and business LED lighting and CBD markets More
Smart Decision 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 Smart Decision'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 Smart Decision upside and downside potential and time the market with a certain degree of confidence.
Smart Decision Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Smart Decision's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Smart Decision's standard deviation. In reality, there are many statistical measures that can use Smart Decision historical prices to predict the future Smart Decision's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Smart Decision'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.
Smart Decision Backtested Returns
We have found three technical indicators for Smart Decision, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Smart Decision are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Smart Decision has perfect predictability. Overlapping area represents the amount of predictability between Smart Decision time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Smart Decision price movement. The serial correlation of 1.0 indicates that 100.0% of current Smart Decision price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Smart Decision 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.
Smart Decision Technical Analysis
The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was fifty with a total number of output elements of eleven. 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 Smart Decision volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Smart Decision 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 Smart Decision 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 Smart Decision based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Smart Decision price pattern first instead of the macroeconomic environment surrounding Smart Decision. By analyzing Smart Decision'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 Smart Decision'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 Smart Decision specific price patterns or momentum indicators. Please read more on our technical analysis page.
Smart Decision February 7, 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 Smart 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Smart Pink Sheet analysis
When running Smart Decision's price analysis, check to measure Smart Decision'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 Smart Decision is operating at the current time. Most of Smart Decision's value examination focuses on studying past and present price action to predict the probability of Smart Decision's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Smart Decision's price. Additionally, you may evaluate how the addition of Smart Decision to your portfolios can decrease your overall portfolio volatility.
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