$5.76
+0 (+0%)
At Close: Jun 03, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | $5.74 | $6.50 | Wednesday, 3rd Jun 2026 MOMO stock ended at $5.76. During the day the stock fluctuated 4.62% from a day low at $5.74 to a day high of $6.00. |
| 90 days | $5.69 | $6.55 | |
| 52 weeks | $5.69 | $9.22 |
Historical Momo Inc. prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Jun 03, 2026 | $5.77 | $6.00 | $5.74 | $5.76 | 1 049 378 |
| Jun 02, 2026 | $6.40 | $6.50 | $5.74 | $5.76 | 1 525 051 |
| Jun 01, 2026 | $5.98 | $6.19 | $5.96 | $6.13 | 770 269 |
| May 29, 2026 | $5.97 | $5.99 | $5.91 | $5.96 | 913 571 |
| May 28, 2026 | $6.00 | $6.03 | $5.92 | $5.97 | 384 042 |
| May 27, 2026 | $5.91 | $6.06 | $5.91 | $6.04 | 505 519 |
| May 26, 2026 | $5.92 | $6.01 | $5.91 | $5.95 | 337 794 |
| May 22, 2026 | $5.79 | $5.97 | $5.78 | $5.90 | 525 322 |
| May 21, 2026 | $6.01 | $6.08 | $5.95 | $6.02 | 340 823 |
| May 20, 2026 | $6.07 | $6.11 | $5.99 | $6.10 | 489 297 |
| May 19, 2026 | $6.09 | $6.13 | $6.03 | $6.07 | 355 228 |
| May 18, 2026 | $6.06 | $6.17 | $6.02 | $6.12 | 455 477 |
| May 15, 2026 | $6.14 | $6.16 | $6.05 | $6.05 | 313 635 |
| May 14, 2026 | $6.22 | $6.25 | $6.02 | $6.18 | 492 110 |
| May 13, 2026 | $6.04 | $6.31 | $6.04 | $6.29 | 497 675 |
| May 12, 2026 | $6.20 | $6.26 | $6.07 | $6.11 | 268 037 |
| May 11, 2026 | $6.24 | $6.31 | $6.17 | $6.23 | 353 897 |
| May 08, 2026 | $6.36 | $6.40 | $6.19 | $6.23 | 344 596 |
| May 07, 2026 | $6.43 | $6.43 | $6.34 | $6.34 | 293 297 |
| May 06, 2026 | $6.42 | $6.49 | $6.33 | $6.44 | 392 060 |
| May 05, 2026 | $6.21 | $6.31 | $6.19 | $6.27 | 332 486 |
| May 04, 2026 | $6.18 | $6.29 | $6.18 | $6.23 | 406 374 |
| May 01, 2026 | $6.17 | $6.25 | $6.12 | $6.21 | 451 307 |
| Apr 30, 2026 | $6.07 | $6.24 | $6.06 | $6.24 | 350 531 |
| Apr 29, 2026 | $6.13 | $6.18 | $6.06 | $6.07 | 261 792 |
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 MOMO stock historical prices to predict future price movements?
Trend Analysis: Examine the MOMO 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 MOMO 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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