NSE:BIOCON
Biocon Limited Stock Price (Quote)
₹317.75
+2.80 (+0.89%)
At Close: May 28, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | ₹292.20 | ₹331.00 | Tuesday, 28th May 2024 BIOCON.NS stock ended at ₹317.75. This is 0.89% more than the trading day before Monday, 27th May 2024. During the day the stock fluctuated 2.89% from a day low at ₹311.00 to a day high of ₹320.00. |
90 days | ₹244.55 | ₹331.00 | |
52 weeks | ₹217.50 | ₹331.00 |
Historical Biocon Limited prices
Date | Open | High | Low | Close | Volume |
Sep 17, 2018 | ₹331.48 | ₹334.40 | ₹326.73 | ₹328.35 | 3 363 376 |
Sep 14, 2018 | ₹321.00 | ₹332.25 | ₹319.55 | ₹331.48 | 5 323 982 |
Sep 12, 2018 | ₹320.80 | ₹322.43 | ₹306.50 | ₹319.93 | 6 374 350 |
Sep 11, 2018 | ₹320.45 | ₹329.80 | ₹313.95 | ₹318.50 | 7 571 130 |
Sep 10, 2018 | ₹330.50 | ₹336.35 | ₹316.50 | ₹319.20 | 5 348 358 |
Sep 07, 2018 | ₹332.00 | ₹337.75 | ₹326.53 | ₹330.68 | 9 024 170 |
Sep 06, 2018 | ₹313.50 | ₹333.95 | ₹313.50 | ₹331.48 | 13 724 504 |
Sep 05, 2018 | ₹297.33 | ₹316.00 | ₹296.80 | ₹312.03 | 10 549 228 |
Sep 04, 2018 | ₹308.45 | ₹309.93 | ₹294.60 | ₹297.18 | 2 282 206 |
Sep 03, 2018 | ₹313.40 | ₹315.00 | ₹306.53 | ₹307.43 | 3 890 658 |
Aug 31, 2018 | ₹303.33 | ₹315.00 | ₹302.65 | ₹312.00 | 5 483 094 |
Aug 30, 2018 | ₹306.50 | ₹310.28 | ₹301.58 | ₹302.63 | 2 637 066 |
Aug 29, 2018 | ₹309.48 | ₹313.93 | ₹303.98 | ₹306.33 | 4 602 896 |
Aug 28, 2018 | ₹304.98 | ₹308.60 | ₹304.50 | ₹307.60 | 2 436 836 |
Aug 27, 2018 | ₹305.63 | ₹307.00 | ₹303.05 | ₹304.15 | 1 543 182 |
Aug 24, 2018 | ₹306.38 | ₹310.83 | ₹301.35 | ₹303.35 | 2 286 308 |
Aug 23, 2018 | ₹307.50 | ₹309.98 | ₹304.30 | ₹306.43 | 3 133 324 |
Aug 21, 2018 | ₹303.00 | ₹307.48 | ₹297.70 | ₹306.15 | 4 426 668 |
Aug 20, 2018 | ₹296.00 | ₹304.70 | ₹295.50 | ₹302.05 | 4 403 302 |
Aug 17, 2018 | ₹300.05 | ₹304.95 | ₹294.15 | ₹295.65 | 4 450 590 |
Aug 16, 2018 | ₹295.50 | ₹299.95 | ₹294.50 | ₹298.83 | 4 779 160 |
Aug 14, 2018 | ₹287.40 | ₹295.48 | ₹285.05 | ₹294.70 | 3 979 448 |
Aug 13, 2018 | ₹280.50 | ₹287.50 | ₹280.08 | ₹285.85 | 1 869 712 |
Aug 10, 2018 | ₹285.00 | ₹288.78 | ₹281.50 | ₹282.45 | 2 920 018 |
Aug 09, 2018 | ₹283.50 | ₹287.40 | ₹282.15 | ₹285.15 | 2 988 584 |
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.
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 BIOCON.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the BIOCON.NS 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.
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.
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 BIOCON.NS 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.