NASDAQ:TCRR
Delisted
TCR2 Therapeutics Inc. Stock Price (Quote)
$1.48
+0 (+0%)
At Close: Aug 30, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.48 | $1.48 | Wednesday, 30th Aug 2023 TCRR stock ended at $1.48. During the day the stock fluctuated 0% from a day low at $1.48 to a day high of $1.48. |
90 days | $1.48 | $1.48 | |
52 weeks | $0.82 | $2.87 |
Historical TCR2 Therapeutics Inc. prices
Date | Open | High | Low | Close | Volume |
Jun 21, 2022 | $2.57 | $2.61 | $2.49 | $2.54 | 510 669 |
Jun 17, 2022 | $2.48 | $2.61 | $2.43 | $2.49 | 630 853 |
Jun 16, 2022 | $2.44 | $2.53 | $2.38 | $2.48 | 586 534 |
Jun 15, 2022 | $2.55 | $2.58 | $2.44 | $2.54 | 458 629 |
Jun 14, 2022 | $2.55 | $2.56 | $2.41 | $2.52 | 268 846 |
Jun 13, 2022 | $2.51 | $2.58 | $2.40 | $2.56 | 391 878 |
Jun 10, 2022 | $2.60 | $2.66 | $2.48 | $2.62 | 529 768 |
Jun 09, 2022 | $2.62 | $2.77 | $2.58 | $2.71 | 415 202 |
Jun 08, 2022 | $2.74 | $2.80 | $2.58 | $2.59 | 689 311 |
Jun 07, 2022 | $2.48 | $2.77 | $2.48 | $2.70 | 717 041 |
Jun 06, 2022 | $2.45 | $2.55 | $2.39 | $2.51 | 388 220 |
Jun 03, 2022 | $2.29 | $2.45 | $2.29 | $2.41 | 292 042 |
Jun 02, 2022 | $2.25 | $2.37 | $2.21 | $2.36 | 286 808 |
Jun 01, 2022 | $2.37 | $2.39 | $2.18 | $2.26 | 462 122 |
May 31, 2022 | $2.31 | $2.39 | $2.24 | $2.32 | 379 359 |
May 27, 2022 | $2.19 | $2.31 | $2.16 | $2.30 | 289 518 |
May 26, 2022 | $2.11 | $2.25 | $2.07 | $2.19 | 348 418 |
May 25, 2022 | $2.17 | $2.22 | $2.09 | $2.11 | 461 713 |
May 24, 2022 | $2.22 | $2.32 | $2.11 | $2.16 | 469 588 |
May 23, 2022 | $2.36 | $2.38 | $2.25 | $2.26 | 405 780 |
May 20, 2022 | $2.38 | $2.40 | $2.29 | $2.35 | 263 452 |
May 19, 2022 | $2.33 | $2.43 | $2.33 | $2.36 | 277 344 |
May 18, 2022 | $2.36 | $2.39 | $2.31 | $2.35 | 215 628 |
May 17, 2022 | $2.37 | $2.46 | $2.35 | $2.40 | 208 563 |
May 16, 2022 | $2.39 | $2.44 | $2.30 | $2.35 | 291 789 |
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 TCRR stock historical prices to predict future price movements?
Trend Analysis: Examine the TCRR 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 TCRR 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.