NIIT LEARNING (India) Price on October 29, 2024

NIITMTS Stock   470.10  4.45  0.96%   
If you're considering investing in NIIT Stock, it is important to understand the factors that can impact its price. As of today, the current price of NIIT LEARNING stands at 470.10, as last reported on the 1st of December, with the highest price reaching 474.00 and the lowest price hitting 454.80 during the day. NIIT LEARNING SYSTEMS has Sharpe Ratio of -0.0205, which conveys that the firm had a -0.0205% return per unit of volatility over the last 3 months. NIIT LEARNING exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify NIIT LEARNING's risk adjusted performance of 0.0089, and Mean Deviation of 1.78 to check out the risk estimate we provide.
  
Other Stockholder Equity is likely to gain to about 123.6 M in 2024, whereas Total Stockholder Equity is likely to drop slightly above 5 B in 2024. . NIIT Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = -0.0205

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Estimated Market Risk

 2.3
  actual daily
20
80% of assets are more volatile

Expected Return

 -0.05
  actual daily
0
Most of other assets have higher returns

Risk-Adjusted Return

 -0.02
  actual daily
0
Most of other assets perform better
Based on monthly moving average NIIT LEARNING is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of NIIT LEARNING by adding NIIT LEARNING to a well-diversified portfolio.
Price Book
5.9028
Enterprise Value Ebitda
14.2069
Price Sales
4.0105
Shares Float
69 M
Dividend Share
2.75

NIIT LEARNING Valuation on October 29, 2024

It is possible to determine the worth of NIIT LEARNING on a given historical date. On October 29, 2024 NIIT was worth 426.0 at the beginning of the trading date compared to the closed value of 431.55. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of NIIT LEARNING stock. Still, in general, we apply an absolute valuation method to find NIIT LEARNING's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of NIIT LEARNING where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against NIIT LEARNING's related companies.
 Open High Low Close Volume
  437.00    437.00    410.85    426.00    207,584  
10/29/2024
  426.00    437.90    417.10    431.55    67,408  
  438.00    438.00    419.10    431.10    314,539  
Backtest NIIT LEARNING  |  NIIT LEARNING History  |  NIIT LEARNING Valuation   PreviousNext  
Open Value
426.0
419.11
Downside
431.55
Closing Value
432.89
Upside

NIIT LEARNING Trading Date Momentum on October 29, 2024

On October 30 2024 NIIT LEARNING SYSTEMS was traded for  431.10  at the closing time. The highest price during the trading period was 438.00  and the lowest recorded bid was listed for  419.10 . The volume for the day was 314.5 K. This history from October 30, 2024 contributed to the next trading day price decline. The trading delta at closing time to the next closing price was 0.10% . The trading delta at closing time to the current price is 7.46% .

NIIT LEARNING SYSTEMS Fundamentals Correlations and Trends

By evaluating NIIT LEARNING's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among NIIT LEARNING's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. NIIT financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About NIIT LEARNING Stock history

NIIT LEARNING investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for NIIT is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in NIIT LEARNING SYSTEMS will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing NIIT LEARNING stock prices may prove useful in developing a viable investing in NIIT LEARNING
Last ReportedProjected for Next Year
Common Stock Shares Outstanding140.1 M121.6 M

NIIT LEARNING Stock Technical Analysis

NIIT LEARNING 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 NIIT LEARNING technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of NIIT LEARNING 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...

Price Boundaries

NIIT LEARNING Period Price Range

Low
December 1, 2024
0.00  NaN%
High

 0.00 

     

 0.00 

NIIT LEARNING SYSTEMS cannot be verified against its exchange. Please verify the symbol is currently traded on National Stock Exchange of India. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

NIIT LEARNING December 1, 2024 Market Strength

Market strength indicators help investors to evaluate how NIIT LEARNING stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading NIIT LEARNING shares will generate the highest return on investment. By undertsting and applying NIIT LEARNING stock market strength indicators, traders can identify NIIT LEARNING SYSTEMS entry and exit signals to maximize returns

NIIT LEARNING Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for NIIT LEARNING's price direction in advance. Along with the technical and fundamental analysis of NIIT Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of NIIT to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

Additional Tools for NIIT Stock Analysis

When running NIIT LEARNING's price analysis, check to measure NIIT LEARNING'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 NIIT LEARNING is operating at the current time. Most of NIIT LEARNING's value examination focuses on studying past and present price action to predict the probability of NIIT LEARNING's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NIIT LEARNING's price. Additionally, you may evaluate how the addition of NIIT LEARNING to your portfolios can decrease your overall portfolio volatility.