₹66.77
-0.320 (-0.477%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | ₹58.37 | ₹70.70 | Monday, 10th Aug 2026 ALGOQUANT.BO stock ended at ₹66.77. This is 0.477% less than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 3.43% from a day low at ₹66.17 to a day high of ₹68.44. |
| 90 days | ₹52.20 | ₹70.70 | |
| 52 weeks | ₹48.86 | ₹1,390.00 |
Historical Algoquant Fintech Limited prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | ₹68.44 | ₹68.44 | ₹66.17 | ₹66.77 | 268 569 |
| Aug 07, 2026 | ₹66.37 | ₹69.10 | ₹65.10 | ₹67.09 | 329 921 |
| Aug 06, 2026 | ₹69.01 | ₹69.01 | ₹65.27 | ₹66.70 | 273 308 |
| Aug 05, 2026 | ₹69.49 | ₹69.55 | ₹67.25 | ₹67.70 | 0 |
| Aug 04, 2026 | ₹69.90 | ₹70.50 | ₹68.05 | ₹68.49 | 0 |
| Aug 03, 2026 | ₹69.78 | ₹70.70 | ₹67.56 | ₹69.90 | 317 524 |
| Jul 31, 2026 | ₹67.10 | ₹68.90 | ₹66.93 | ₹68.24 | 315 341 |
| Jul 30, 2026 | ₹67.90 | ₹69.02 | ₹66.15 | ₹67.97 | 320 748 |
| Jul 29, 2026 | ₹67.60 | ₹68.50 | ₹66.15 | ₹67.20 | 297 953 |
| Jul 28, 2026 | ₹68.20 | ₹69.67 | ₹66.99 | ₹67.57 | 289 677 |
| Jul 27, 2026 | ₹68.45 | ₹69.90 | ₹68.05 | ₹69.32 | 302 677 |
| Jul 24, 2026 | ₹65.20 | ₹69.90 | ₹65.15 | ₹68.45 | 387 574 |
| Jul 23, 2026 | ₹66.22 | ₹67.41 | ₹65.20 | ₹65.38 | 268 028 |
| Jul 22, 2026 | ₹65.10 | ₹67.74 | ₹64.89 | ₹66.89 | 290 188 |
| Jul 21, 2026 | ₹64.25 | ₹65.60 | ₹64.25 | ₹65.03 | 303 404 |
| Jul 20, 2026 | ₹63.37 | ₹64.70 | ₹62.81 | ₹64.34 | 248 471 |
| Jul 17, 2026 | ₹66.38 | ₹67.12 | ₹64.10 | ₹64.66 | 285 967 |
| Jul 16, 2026 | ₹61.77 | ₹65.79 | ₹59.67 | ₹65.02 | 521 293 |
| Jul 15, 2026 | ₹60.58 | ₹61.68 | ₹59.86 | ₹60.56 | 252 160 |
| Jul 14, 2026 | ₹61.50 | ₹61.63 | ₹60.00 | ₹60.58 | 242 288 |
| Jul 13, 2026 | ₹58.99 | ₹61.95 | ₹58.37 | ₹61.95 | 342 649 |
| Jul 10, 2026 | ₹58.00 | ₹59.30 | ₹58.00 | ₹59.07 | 307 655 |
| Jul 09, 2026 | ₹58.29 | ₹58.29 | ₹56.95 | ₹57.49 | 258 816 |
| Jul 08, 2026 | ₹57.26 | ₹57.86 | ₹56.40 | ₹57.55 | 327 813 |
| Jul 07, 2026 | ₹58.19 | ₹59.19 | ₹57.18 | ₹57.77 | 269 066 |
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 ALGOQUANT.BO stock historical prices to predict future price movements?
Trend Analysis: Examine the ALGOQUANT.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.
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 ALGOQUANT.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.
Sign In
Buy ALGOQUANT