NASDAQ:INOD
Innodata Inc. Stock Price (Quote)
$12.96
+0.0700 (+0.543%)
At Close: May 24, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.50 | $13.37 | Friday, 24th May 2024 INOD stock ended at $12.96. This is 0.543% more than the trading day before Thursday, 23rd May 2024. During the day the stock fluctuated 4.62% from a day low at $12.77 to a day high of $13.36. |
90 days | $5.46 | $13.37 | |
52 weeks | $5.46 | $15.36 |
Date | Open | High | Low | Close | Volume |
Jan 02, 2024 | $8.00 | $8.02 | $7.65 | $7.79 | 344 106 |
Dec 29, 2023 | $8.46 | $8.51 | $8.09 | $8.14 | 299 901 |
Dec 28, 2023 | $8.54 | $8.67 | $8.38 | $8.48 | 146 561 |
Dec 27, 2023 | $8.54 | $8.63 | $8.41 | $8.59 | 178 923 |
Dec 26, 2023 | $8.60 | $8.67 | $8.46 | $8.58 | 164 838 |
Dec 22, 2023 | $8.56 | $8.86 | $8.52 | $8.58 | 243 488 |
Dec 21, 2023 | $8.34 | $8.62 | $8.33 | $8.55 | 237 983 |
Dec 20, 2023 | $8.74 | $8.76 | $8.23 | $8.25 | 295 724 |
Dec 19, 2023 | $8.54 | $8.86 | $8.54 | $8.78 | 239 078 |
Dec 18, 2023 | $8.52 | $8.67 | $8.17 | $8.45 | 385 110 |
Dec 15, 2023 | $9.17 | $9.22 | $8.25 | $8.52 | 618 807 |
Dec 14, 2023 | $9.24 | $9.29 | $8.93 | $9.01 | 474 281 |
Dec 13, 2023 | $8.39 | $8.91 | $8.11 | $8.89 | 313 717 |
Dec 12, 2023 | $8.44 | $8.55 | $8.15 | $8.33 | 364 566 |
Dec 11, 2023 | $8.24 | $8.56 | $8.10 | $8.43 | 355 277 |
Dec 08, 2023 | $8.05 | $8.40 | $7.90 | $8.17 | 360 137 |
Dec 07, 2023 | $7.66 | $8.30 | $7.50 | $8.05 | 504 319 |
Dec 06, 2023 | $7.55 | $7.68 | $7.40 | $7.60 | 457 099 |
Dec 05, 2023 | $7.17 | $7.51 | $7.15 | $7.46 | 298 373 |
Dec 04, 2023 | $7.36 | $7.48 | $7.00 | $7.19 | 377 827 |
Dec 01, 2023 | $6.76 | $7.34 | $6.70 | $7.33 | 456 102 |
Nov 30, 2023 | $6.85 | $7.00 | $6.60 | $6.76 | 332 320 |
Nov 29, 2023 | $6.49 | $7.01 | $6.48 | $6.84 | 551 362 |
Nov 28, 2023 | $6.35 | $6.56 | $6.27 | $6.44 | 609 472 |
Nov 27, 2023 | $6.83 | $7.11 | $5.71 | $6.40 | 1 983 843 |
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 INOD stock historical prices to predict future price movements?
Trend Analysis: Examine the INOD 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 INOD 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.