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XBOM:RCOM

Reliance Communications Limited Stock Price (Quote)

₹1.69
+0 (+0%)
At Close: May 21, 2024

Range Low Price High Price Comment
30 days ₹1.69 ₹1.69 Tuesday, 21st May 2024 RCOM.BO stock ended at ₹1.69. During the day the stock fluctuated 0% from a day low at ₹1.69 to a day high of ₹1.69.
90 days ₹1.59 ₹2.33
52 weeks ₹1.01 ₹2.49

Historical Reliance Communications Limited prices

Date Open High Low Close Volume
Oct 04, 2023 ₹1.77 ₹1.77 ₹1.70 ₹1.71 1 416 446
Oct 03, 2023 ₹1.78 ₹1.80 ₹1.75 ₹1.78 1 715 293
Sep 29, 2023 ₹1.76 ₹1.80 ₹1.75 ₹1.79 1 241 758
Sep 28, 2023 ₹1.78 ₹1.78 ₹1.75 ₹1.76 1 139 084
Sep 27, 2023 ₹1.85 ₹1.90 ₹1.77 ₹1.79 1 799 787
Sep 26, 2023 ₹1.78 ₹1.84 ₹1.78 ₹1.83 2 240 700
Sep 25, 2023 ₹1.79 ₹1.82 ₹1.76 ₹1.78 2 429 740
Sep 22, 2023 ₹1.78 ₹1.78 ₹1.71 ₹1.74 2 478 834
Sep 21, 2023 ₹1.70 ₹1.73 ₹1.70 ₹1.72 3 540 047
Sep 20, 2023 ₹1.55 ₹1.65 ₹1.54 ₹1.65 1 775 171
Sep 18, 2023 ₹1.60 ₹1.62 ₹1.56 ₹1.58 2 134 319
Sep 15, 2023 ₹1.64 ₹1.65 ₹1.58 ₹1.63 5 237 653
Sep 14, 2023 ₹1.68 ₹1.70 ₹1.66 ₹1.66 1 202 734
Sep 13, 2023 ₹1.83 ₹1.83 ₹1.72 ₹1.74 3 556 422
Sep 12, 2023 ₹1.86 ₹1.88 ₹1.75 ₹1.81 4 969 273
Sep 11, 2023 ₹1.77 ₹1.84 ₹1.73 ₹1.81 7 807 298
Sep 08, 2023 ₹1.83 ₹1.83 ₹1.72 ₹1.77 6 482 208
Sep 07, 2023 ₹1.77 ₹1.78 ₹1.71 ₹1.77 8 185 333
Sep 06, 2023 ₹1.68 ₹1.70 ₹1.66 ₹1.70 9 776 390
Sep 05, 2023 ₹1.59 ₹1.62 ₹1.58 ₹1.62 3 332 860
Sep 04, 2023 ₹1.48 ₹1.55 ₹1.46 ₹1.55 6 044 010
Sep 01, 2023 ₹1.44 ₹1.49 ₹1.41 ₹1.48 2 973 661
Aug 31, 2023 ₹1.39 ₹1.44 ₹1.39 ₹1.44 4 191 444
Aug 30, 2023 ₹1.34 ₹1.39 ₹1.32 ₹1.38 2 255 357
Aug 29, 2023 ₹1.31 ₹1.36 ₹1.31 ₹1.35 1 754 683

FAQ

What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.

Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.

How can I use RCOM.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the RCOM.BO stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.

What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.

This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.

A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.

Why do the RCOM.BO stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.

How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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