RTSI Index (Russia) Market Value

RTSI Index   1,173  23.08  1.93%   
RTSI Index's market value is the price at which a share of RTSI Index trades on a public exchange. It measures the collective expectations of RTSI Index investors about its performance. RTSI Index is enlisted at 1173.42 as of the 27th of May 2024; that is -1.93% down since the beginning of the trading day. The index's open price was 1196.5.
With this module, you can estimate the performance of a buy and hold strategy of RTSI Index and determine expected loss or profit from investing in RTSI Index over a given investment horizon. Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
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RTSI Index '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 RTSI Index's index 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 RTSI Index.
0.00
04/27/2024
No Change 0.00  0.0 
In 31 days
05/27/2024
0.00
If you would invest  0.00  in RTSI Index on April 27, 2024 and sell it all today you would earn a total of 0.00 from holding RTSI Index or generate 0.0% return on investment in RTSI Index over 30 days.

RTSI Index 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 RTSI Index's index 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 RTSI Index upside and downside potential and time the market with a certain degree of confidence.

RTSI Index Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for RTSI Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RTSI Index's standard deviation. In reality, there are many statistical measures that can use RTSI Index historical prices to predict the future RTSI Index's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of RTSI Index'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as RTSI Index. Your research has to be compared to or analyzed against RTSI Index's peers to derive any actionable benefits. When done correctly, RTSI Index's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in RTSI Index.

RTSI Index Backtested Returns

RTSI Index maintains Sharpe Ratio (i.e., Efficiency) of 0.21, which implies the entity had a 0.21% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for RTSI Index, which you can use to evaluate the volatility of the index. The index holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and RTSI Index are completely uncorrelated.

Auto-correlation

    
  0.67  

Good predictability

RTSI Index has good predictability. Overlapping area represents the amount of predictability between RTSI Index time series from 27th of April 2024 to 12th of May 2024 and 12th of May 2024 to 27th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of RTSI Index price movement. The serial correlation of 0.67 indicates that around 67.0% of current RTSI Index price fluctuation can be explain by its past prices.
Correlation Coefficient0.67
Spearman Rank Test0.7
Residual Average0.0
Price Variance32.71

RTSI Index lagged returns against current returns

Autocorrelation, which is RTSI Index index's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting RTSI Index's index expected returns. We can calculate the autocorrelation of RTSI Index returns to help us make a trade decision. For example, suppose you find that RTSI Index has exhibited high autocorrelation historically, and you observe that the index is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

RTSI Index regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If RTSI Index index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RTSI Index index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RTSI Index index over time.
   Current vs Lagged Prices   
       Timeline  

RTSI Index Lagged Returns

When evaluating RTSI Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RTSI Index index have on its future price. RTSI Index autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, RTSI Index autocorrelation shows the relationship between RTSI Index index current value and its past values and can show if there is a momentum factor associated with investing in RTSI Index.
   Regressed Prices   
       Timeline  

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
RTSI Index technical index 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, index market cycles, or different charting patterns.
A focus of RTSI Index technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of RTSI Index 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...