METALIETF (India) Market Value
| METALIETF | 9.48 0.04 0.42% |
| Symbol | METALIETF |
Please note, there is a significant difference between METALIETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if METALIETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, METALIETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
METALIETF '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 METALIETF'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 METALIETF.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in METALIETF on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding METALIETF or generate 0.0% return on investment in METALIETF over 90 days. METALIETF is related to or competes with Sandhar Technologies, PNC Infratech, Indian Metals, Shree Rama, Rajnandini Metal, Nahar Industrial, and Ankit Metal. METALIETF is entity of India. It is traded as Stock on NSE exchange. More
METALIETF 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 METALIETF'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 METALIETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9372 | |||
| Information Ratio | 0.0356 | |||
| Maximum Drawdown | 7.07 | |||
| Value At Risk | (1.39) | |||
| Potential Upside | 1.95 |
METALIETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for METALIETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as METALIETF's standard deviation. In reality, there are many statistical measures that can use METALIETF historical prices to predict the future METALIETF's volatility.| Risk Adjusted Performance | 0.1458 | |||
| Jensen Alpha | 0.154 | |||
| Total Risk Alpha | 0.0065 | |||
| Sortino Ratio | 0.0452 | |||
| Treynor Ratio | 1.18 |
METALIETF Backtested Returns
At this point, METALIETF is not too volatile. METALIETF has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for METALIETF, which you can use to evaluate the volatility of the firm. Please verify METALIETF's Market Risk Adjusted Performance of 1.19, mean deviation of 0.863, and Risk Adjusted Performance of 0.1458 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. METALIETF has a performance score of 9 on a scale of 0 to 100. The company secures a Beta (Market Risk) of 0.15, which conveys not very significant fluctuations relative to the market. As returns on the market increase, METALIETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding METALIETF is expected to be smaller as well. METALIETF currently secures a risk of 1.18%. Please verify METALIETF expected short fall, and the relationship between the value at risk and daily balance of power , to decide if METALIETF will be following its current price movements.
Auto-correlation | 0.70 |
Good predictability
METALIETF has good predictability. Overlapping area represents the amount of predictability between METALIETF time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of METALIETF price movement. The serial correlation of 0.7 indicates that around 70.0% of current METALIETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
METALIETF lagged returns against current returns
Autocorrelation, which is METALIETF stock'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 METALIETF's stock expected returns. We can calculate the autocorrelation of METALIETF returns to help us make a trade decision. For example, suppose you find that METALIETF has exhibited high autocorrelation historically, and you observe that the stock 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 |
METALIETF 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 METALIETF stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if METALIETF stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in METALIETF stock over time.
Current vs Lagged Prices |
| Timeline |
METALIETF Lagged Returns
When evaluating METALIETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of METALIETF stock have on its future price. METALIETF 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, METALIETF autocorrelation shows the relationship between METALIETF stock current value and its past values and can show if there is a momentum factor associated with investing in METALIETF.
Regressed Prices |
| Timeline |
Also Currently Popular
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.Other Information on Investing in METALIETF Stock
METALIETF financial ratios help investors to determine whether METALIETF Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in METALIETF with respect to the benefits of owning METALIETF security.