XBOM:ORGCOAT

Organic Coatings Stock Price (Quote)

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₹22.00
+0 (+0%)
At Close: Nov 18, 2025

Range Low Price High Price Comment
30 days ₹20.90 ₹30.43 Tuesday, 18th Nov 2025 ORGCOAT.BO stock ended at ₹22.00. During the day the stock fluctuated 9.57% from a day low at ₹20.90 to a day high of ₹22.90.
90 days ₹13.10 ₹30.43
52 weeks ₹11.38 ₹30.43

Historical Organic Coatings Limited prices

Date Open High Low Close Volume
Nov 18, 2025 ₹20.90 ₹22.90 ₹20.90 ₹22.00 4 422
Nov 17, 2025 ₹22.51 ₹22.51 ₹22.00 ₹22.00 2 660
Nov 14, 2025 ₹23.44 ₹23.44 ₹22.27 ₹22.40 5 138
Nov 13, 2025 ₹24.62 ₹24.62 ₹23.44 ₹23.44 709
Nov 12, 2025 ₹25.80 ₹25.92 ₹23.56 ₹24.62 13 073
Nov 11, 2025 ₹24.80 ₹26.04 ₹23.57 ₹24.80 6 723
Nov 10, 2025 ₹23.30 ₹24.95 ₹22.86 ₹24.80 8 632
Nov 07, 2025 ₹24.02 ₹25.22 ₹23.25 ₹24.06 44 970
Nov 06, 2025 ₹24.90 ₹24.93 ₹24.00 ₹24.02 15 095
Nov 04, 2025 ₹24.60 ₹25.95 ₹23.70 ₹23.75 3 316
Nov 03, 2025 ₹25.90 ₹27.00 ₹24.61 ₹24.72 3 690
Oct 31, 2025 ₹28.20 ₹28.20 ₹25.66 ₹25.90 846
Oct 30, 2025 ₹26.99 ₹27.39 ₹24.80 ₹27.00 6 658
Oct 29, 2025 ₹24.50 ₹26.50 ₹24.50 ₹26.09 3 261
Oct 28, 2025 ₹23.88 ₹26.00 ₹23.88 ₹25.74 6 701
Oct 27, 2025 ₹27.65 ₹27.65 ₹25.08 ₹25.13 5 953
Oct 24, 2025 ₹27.83 ₹29.00 ₹26.32 ₹26.39 20 550
Oct 23, 2025 ₹30.43 ₹30.43 ₹27.70 ₹27.70 8 621
Oct 20, 2025 ₹25.50 ₹27.98 ₹25.32 ₹27.95 39 102
Oct 17, 2025 ₹26.65 ₹26.65 ₹25.53 ₹26.65 42 114
Oct 16, 2025 ₹23.43 ₹25.39 ₹23.43 ₹25.39 37 669
Oct 15, 2025 ₹24.20 ₹24.25 ₹22.82 ₹24.19 16 236
Oct 14, 2025 ₹24.48 ₹24.64 ₹23.12 ₹23.26 58 565
Oct 13, 2025 ₹23.56 ₹23.56 ₹21.32 ₹23.47 156 719
Oct 10, 2025 ₹22.44 ₹22.44 ₹22.44 ₹22.44 10 051

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 ORGCOAT.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ORGCOAT.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 ORGCOAT.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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