₹709.00
+16.25 (+2.35%)
At Close: Aug 11, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹512.15 | ₹734.95 | Tuesday, 11th Aug 2026 CYIENTDLM.NS stock ended at ₹709.00. This is 2.35% more than the trading day before Monday, 10th Aug 2026. During the day the stock fluctuated 3.32% from a day low at ₹693.00 to a day high of ₹716.00. |
| 90 days | ₹392.25 | ₹734.95 | |
| 52 weeks | ₹265.20 | ₹734.95 |
Historical Cyient Dlm Private Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 11, 2026 | ₹695.00 | ₹716.00 | ₹693.00 | ₹709.00 | 708 319 |
| Aug 10, 2026 | ₹687.55 | ₹707.95 | ₹680.15 | ₹692.75 | 965 162 |
| Aug 07, 2026 | ₹659.05 | ₹694.95 | ₹658.95 | ₹685.55 | 839 276 |
| Aug 06, 2026 | ₹665.00 | ₹678.15 | ₹650.00 | ₹662.50 | 405 367 |
| Aug 05, 2026 | ₹668.55 | ₹687.90 | ₹660.05 | ₹664.85 | 0 |
| Aug 04, 2026 | ₹674.35 | ₹697.40 | ₹663.80 | ₹667.50 | 0 |
| Aug 03, 2026 | ₹672.00 | ₹687.20 | ₹670.00 | ₹671.70 | 207 992 |
| Jul 31, 2026 | ₹677.00 | ₹695.50 | ₹662.55 | ₹670.05 | 445 078 |
| Jul 30, 2026 | ₹680.00 | ₹700.80 | ₹668.15 | ₹678.10 | 385 077 |
| Jul 29, 2026 | ₹685.00 | ₹690.10 | ₹670.60 | ₹681.75 | 263 226 |
| Jul 28, 2026 | ₹665.05 | ₹692.45 | ₹657.00 | ₹681.95 | 531 063 |
| Jul 27, 2026 | ₹680.00 | ₹681.55 | ₹652.55 | ₹665.05 | 315 545 |
| Jul 24, 2026 | ₹655.15 | ₹680.85 | ₹654.05 | ₹670.45 | 739 751 |
| Jul 23, 2026 | ₹695.15 | ₹701.25 | ₹662.05 | ₹665.10 | 1 065 286 |
| Jul 22, 2026 | ₹623.00 | ₹734.95 | ₹621.10 | ₹698.15 | 12 932 008 |
| Jul 21, 2026 | ₹594.55 | ₹628.00 | ₹586.75 | ₹623.00 | 893 081 |
| Jul 20, 2026 | ₹572.00 | ₹602.95 | ₹570.20 | ₹596.05 | 684 591 |
| Jul 17, 2026 | ₹593.00 | ₹602.20 | ₹559.40 | ₹578.65 | 944 556 |
| Jul 16, 2026 | ₹543.20 | ₹591.00 | ₹543.20 | ₹586.90 | 3 075 184 |
| Jul 15, 2026 | ₹535.00 | ₹542.85 | ₹529.50 | ₹538.50 | 195 334 |
| Jul 14, 2026 | ₹528.20 | ₹538.00 | ₹521.55 | ₹532.65 | 297 320 |
| Jul 13, 2026 | ₹540.55 | ₹554.30 | ₹512.15 | ₹525.65 | 702 561 |
| Jul 10, 2026 | ₹545.85 | ₹569.55 | ₹526.40 | ₹545.65 | 573 740 |
| Jul 09, 2026 | ₹525.95 | ₹548.00 | ₹525.95 | ₹538.30 | 339 572 |
| Jul 08, 2026 | ₹530.00 | ₹552.00 | ₹513.00 | ₹521.10 | 1 260 986 |
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 CYIENTDLM.NS stock historical prices to predict future price movements?
Trend Analysis: Examine the CYIENTDLM.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 CYIENTDLM.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.
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