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Range Low Price High Price Comment
30 days ₹52.00 ₹63.60 Friday, 17th May 2024 POLYCHMP.BO stock ended at ₹56.51. This is 0.81% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 3.46% from a day low at ₹56.35 to a day high of ₹58.30.
90 days ₹42.75 ₹63.60
52 weeks ₹42.75 ₹78.80

Historical Polymechplast Machines Limited prices

Date Open High Low Close Volume
Feb 28, 2024 ₹55.00 ₹56.50 ₹54.00 ₹54.50 3 159
Feb 27, 2024 ₹57.00 ₹57.00 ₹54.00 ₹56.20 9 792
Feb 26, 2024 ₹56.49 ₹58.40 ₹55.60 ₹56.20 5 040
Feb 23, 2024 ₹56.49 ₹57.60 ₹55.30 ₹56.50 2 466
Feb 22, 2024 ₹56.80 ₹56.80 ₹55.11 ₹56.49 2 064
Feb 21, 2024 ₹55.71 ₹56.64 ₹55.00 ₹55.86 1 665
Feb 20, 2024 ₹57.45 ₹57.45 ₹54.00 ₹55.71 6 471
Feb 19, 2024 ₹57.00 ₹58.90 ₹55.20 ₹55.93 4 857
Feb 16, 2024 ₹58.95 ₹58.95 ₹55.10 ₹57.04 2 156
Feb 15, 2024 ₹55.50 ₹56.65 ₹55.50 ₹55.55 1 659
Feb 14, 2024 ₹55.50 ₹56.60 ₹53.36 ₹56.60 3 775
Feb 13, 2024 ₹57.80 ₹57.80 ₹54.35 ₹55.16 5 682
Feb 12, 2024 ₹58.95 ₹60.50 ₹55.20 ₹55.68 8 862
Feb 09, 2024 ₹55.20 ₹58.00 ₹52.00 ₹56.73 29 347
Feb 08, 2024 ₹60.00 ₹60.00 ₹56.50 ₹56.94 21 303
Feb 07, 2024 ₹58.00 ₹61.40 ₹56.30 ₹59.72 34 706
Feb 06, 2024 ₹56.71 ₹58.00 ₹55.11 ₹57.34 3 833
Feb 05, 2024 ₹56.50 ₹57.60 ₹55.25 ₹56.71 2 301
Feb 02, 2024 ₹57.50 ₹57.50 ₹56.00 ₹56.14 4 031
Feb 01, 2024 ₹57.75 ₹58.39 ₹55.31 ₹56.63 4 806
Jan 31, 2024 ₹57.65 ₹59.49 ₹56.90 ₹57.00 13 222
Jan 30, 2024 ₹58.70 ₹60.00 ₹57.55 ₹58.81 3 288
Jan 29, 2024 ₹57.00 ₹58.29 ₹56.62 ₹57.57 5 455
Jan 25, 2024 ₹57.60 ₹57.68 ₹56.92 ₹57.45 2 217
Jan 24, 2024 ₹57.70 ₹57.70 ₹56.61 ₹57.68 8 028

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