SCI EC (Vietnam) Technical Analysis

SCI Stock   9,300  200.00  2.11%   

SCI EC Momentum Analysis

Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SCI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SCI
  
SCI EC'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.

SCI EC '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 SCI EC's stock 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 SCI EC.
0.00
11/10/2025
No Change 0.00  0.0 
In 2 months and 31 days
02/08/2026
0.00
If you would invest  0.00  in SCI EC on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding SCI EC JSC or generate 0.0% return on investment in SCI EC over 90 days.

SCI EC 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 SCI EC's stock 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 SCI EC JSC upside and downside potential and time the market with a certain degree of confidence.

SCI EC Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for SCI EC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SCI EC's standard deviation. In reality, there are many statistical measures that can use SCI EC historical prices to predict the future SCI EC's volatility.

SCI EC February 8, 2026 Technical Indicators

SCI EC JSC Backtested Returns

SCI EC JSC owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0218, which indicates the company had a -0.0218 % return per unit of volatility over the last 3 months. SCI EC JSC exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SCI EC's Risk Adjusted Performance of (0.01), standard deviation of 1.21, and Market Risk Adjusted Performance of 0.1009 to confirm the risk estimate we provide. The firm has a beta of -0.4, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SCI EC are expected to decrease at a much lower rate. During the bear market, SCI EC is likely to outperform the market. At this point, SCI EC JSC has a negative expected return of -0.0262%. Please make sure to validate SCI EC's value at risk, as well as the relationship between the accumulation distribution and day typical price , to decide if SCI EC JSC performance from the past will be repeated in the future.

Auto-correlation

    
  -0.27  

Weak reverse predictability

SCI EC JSC has weak reverse predictability. Overlapping area represents the amount of predictability between SCI EC time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 SCI EC JSC price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current SCI EC price fluctuation can be explain by its past prices.
Correlation Coefficient-0.27
Spearman Rank Test0.36
Residual Average0.0
Price Variance6430.8
SCI EC technical stock 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, stock market cycles, or different charting patterns.
A focus of SCI EC technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of SCI EC trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

SCI EC JSC Technical Analysis

Indicator
Time Period
Execute Indicator
The output start index for this execution was one with a total number of output elements of sixty. 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 SCI EC JSC volatility. High ATR values indicate high volatility, and low values indicate low volatility.

SCI EC February 8, 2026 Technical Indicators

Most technical analysis of SCI 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 SCI from various momentum indicators to cycle indicators. When you analyze SCI 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.

SCI EC February 8, 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 SCI 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.