India Closed Fund Price History
IFN Fund | USD 17.20 0.03 0.17% |
Below is the normalized historical share price chart for India Closed extending back to February 15, 1994. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of India Closed stands at 17.20, as last reported on the 3rd of December, with the highest price reaching 17.33 and the lowest price hitting 17.20 during the day.
If you're considering investing in India Fund, it is important to understand the factors that can impact its price. India Closed holds Efficiency (Sharpe) Ratio of -0.0406, which attests that the entity had a -0.0406% return per unit of risk over the last 3 months. India Closed exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out India Closed's Standard Deviation of 1.02, market risk adjusted performance of (0.06), and Risk Adjusted Performance of (0.02) to validate the risk estimate we provide.
India Fund price history is provided at the adjusted basis, taking into account all of the recent filings.
India |
Sharpe Ratio = -0.0406
Best Portfolio | Best Equity | |||
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Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns | IFN |
Estimated Market Risk
1.02 actual daily | 9 91% of assets are more volatile |
Expected Return
-0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
-0.04 actual daily | 0 Most of other assets perform better |
Based on monthly moving average India Closed 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 India Closed by adding India Closed to a well-diversified portfolio.
Market Capitalization 513.3 M |
India Closed Fund Price History Chart
There are several ways to analyze India Closed Fund price data. The simplest method is using a basic India candlestick price chart, which shows India Closed price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest Price | September 27, 2024 | 18.69 |
Lowest Price | November 13, 2024 | 16.74 |
India Closed December 3, 2024 Fund Price Synopsis
Various analyses of India Closed's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell India Fund. It can be used to describe the percentage change in the price of India Closed from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of India Fund.India Closed Price Rate Of Daily Change | 1.00 | |
India Closed Price Action Indicator | (0.08) | |
India Closed Price Daily Balance Of Power | (0.23) |
India Closed December 3, 2024 Fund Price Analysis
India Fund Price History Data
The price series of India Closed for the period between Wed, Sep 4, 2024 and Tue, Dec 3, 2024 has a statistical range of 1.95 with a coefficient of variation of 2.97. Under current investment horizon, the daily prices are spread out with arithmetic mean of 17.66. The median price for the last 90 days is 17.64. The company completed dividends distribution on 2022-08-23.Open | High | Low | Close | Volume | ||
12/03/2024 | 17.22 | 17.33 | 17.20 | 17.20 | ||
12/02/2024 | 17.22 | 17.33 | 17.20 | 17.20 | 92,193 | |
11/29/2024 | 17.29 | 17.29 | 17.12 | 17.23 | 103,899 | |
11/27/2024 | 17.31 | 17.42 | 17.29 | 17.36 | 81,945 | |
11/26/2024 | 17.38 | 17.42 | 17.30 | 17.31 | 94,172 | |
11/25/2024 | 17.22 | 17.35 | 17.05 | 17.34 | 149,181 | |
11/22/2024 | 16.83 | 17.16 | 16.83 | 17.10 | 207,442 | |
11/21/2024 | 16.89 | 16.91 | 16.68 | 16.76 | 412,121 | |
11/20/2024 | 17.40 | 17.42 | 17.09 | 17.26 | 210,780 | |
11/19/2024 | 16.94 | 17.27 | 16.94 | 17.20 | 260,418 | |
11/18/2024 | 16.92 | 17.25 | 16.87 | 17.15 | 250,154 | |
11/15/2024 | 16.76 | 16.88 | 16.72 | 16.86 | 194,339 | |
11/14/2024 | 16.81 | 16.89 | 16.72 | 16.79 | 122,465 | |
11/13/2024 | 16.81 | 16.93 | 16.65 | 16.74 | 285,067 | |
11/12/2024 | 17.44 | 17.44 | 16.75 | 16.83 | 452,114 | |
11/11/2024 | 17.30 | 17.44 | 17.30 | 17.42 | 143,413 | |
11/08/2024 | 17.45 | 17.45 | 17.28 | 17.35 | 178,038 | |
11/07/2024 | 17.45 | 17.52 | 17.33 | 17.48 | 148,859 | |
11/06/2024 | 17.15 | 17.47 | 17.15 | 17.38 | 202,326 | |
11/05/2024 | 17.06 | 17.15 | 17.03 | 17.09 | 130,811 | |
11/04/2024 | 17.13 | 17.14 | 17.03 | 17.05 | 146,213 | |
11/01/2024 | 17.24 | 17.25 | 17.01 | 17.14 | 96,057 | |
10/31/2024 | 16.93 | 17.15 | 16.93 | 17.10 | 154,735 | |
10/30/2024 | 17.01 | 17.06 | 16.95 | 16.98 | 199,448 | |
10/29/2024 | 17.15 | 17.16 | 17.05 | 17.05 | 105,473 | |
10/28/2024 | 17.21 | 17.36 | 17.11 | 17.11 | 155,836 | |
10/25/2024 | 17.49 | 17.58 | 17.13 | 17.15 | 249,310 | |
10/24/2024 | 17.72 | 17.77 | 17.52 | 17.53 | 95,830 | |
10/23/2024 | 17.74 | 17.78 | 17.70 | 17.74 | 78,481 | |
10/22/2024 | 17.99 | 18.02 | 17.76 | 17.79 | 141,722 | |
10/21/2024 | 18.17 | 18.21 | 18.00 | 18.03 | 94,100 | |
10/18/2024 | 18.20 | 18.28 | 18.15 | 18.16 | 71,310 | |
10/17/2024 | 18.34 | 18.43 | 18.18 | 18.25 | 75,857 | |
10/16/2024 | 18.16 | 18.43 | 18.15 | 18.36 | 109,002 | |
10/15/2024 | 18.19 | 18.27 | 18.15 | 18.15 | 85,336 | |
10/14/2024 | 18.19 | 18.20 | 18.14 | 18.19 | 51,270 | |
10/11/2024 | 18.14 | 18.25 | 18.14 | 18.19 | 65,519 | |
10/10/2024 | 18.11 | 18.22 | 18.05 | 18.19 | 53,295 | |
10/09/2024 | 18.03 | 18.11 | 17.95 | 18.04 | 62,540 | |
10/08/2024 | 18.01 | 18.13 | 18.00 | 18.05 | 100,877 | |
10/07/2024 | 18.16 | 18.16 | 17.87 | 17.88 | 103,862 | |
10/04/2024 | 18.13 | 18.15 | 18.03 | 18.11 | 121,743 | |
10/03/2024 | 18.32 | 18.35 | 18.10 | 18.14 | 105,425 | |
10/02/2024 | 18.40 | 18.43 | 18.32 | 18.38 | 71,060 | |
10/01/2024 | 18.48 | 18.56 | 18.38 | 18.38 | 104,184 | |
09/30/2024 | 18.65 | 18.65 | 18.42 | 18.48 | 157,945 | |
09/27/2024 | 18.62 | 18.69 | 18.53 | 18.69 | 78,198 | |
09/26/2024 | 18.67 | 18.71 | 18.51 | 18.57 | 77,681 | |
09/25/2024 | 18.46 | 18.63 | 18.46 | 18.61 | 91,063 | |
09/24/2024 | 18.51 | 18.55 | 18.28 | 18.46 | 153,332 | |
09/23/2024 | 18.38 | 18.61 | 18.38 | 18.43 | 164,677 | |
09/20/2024 | 17.94 | 18.31 | 17.93 | 18.30 | 202,705 | |
09/19/2024 | 17.88 | 17.94 | 17.83 | 17.86 | 70,703 | |
09/18/2024 | 17.94 | 17.97 | 17.76 | 17.77 | 71,134 | |
09/17/2024 | 17.91 | 17.92 | 17.84 | 17.90 | 96,497 | |
09/16/2024 | 17.60 | 17.90 | 17.60 | 17.88 | 135,387 | |
09/13/2024 | 17.68 | 17.68 | 17.58 | 17.65 | 54,173 | |
09/12/2024 | 17.56 | 17.72 | 17.56 | 17.62 | 93,668 | |
09/11/2024 | 17.50 | 17.55 | 17.44 | 17.47 | 75,151 | |
09/10/2024 | 17.51 | 17.59 | 17.50 | 17.57 | 42,907 | |
09/09/2024 | 17.46 | 17.66 | 17.44 | 17.44 | 113,867 |
About India Closed Fund history
India Closed 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 India is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in India Closed 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 India Closed stock prices may prove useful in developing a viable investing in India Closed
The India Fund, Inc. is a close ended equity mutual fund launched and managed by Aberdeen Standard Investments Limited. The fund invests in public equity markets of India. It seeks to invest in stocks of small-cap, mid-cap, and large-cap companies. The fund employs a quantitative and fundamental analysis with a bottom-up stock picking and asset allocation approach to create its portfolio. It benchmarks the performance of its portfolio against the IFC Investable India Index. The India Fund, Inc. was formed on December 27, 1993 and is domiciled in the Singapore.
India Closed Fund Technical Analysis
India Closed technical fund 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, fund market cycles, or different charting patterns.
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India Closed Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for India Closed's price direction in advance. Along with the technical and fundamental analysis of India Fund historical price patterns, it is also worthwhile for investors to track various predictive indicators of India 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.
Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.09) | |||
Total Risk Alpha | (0.19) | |||
Treynor Ratio | (0.07) |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Other Information on Investing in India Fund
India Closed financial ratios help investors to determine whether India Fund 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 India with respect to the benefits of owning India Closed security.
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
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