TSX:RNW
Delisted
TransAlta Renewables Inc. Stock Price (Quote)
$12.48
+0 (+0%)
At Close: Jan 08, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.48 | $12.48 | Monday, 8th Jan 2024 RNW.TO stock ended at $12.48. During the day the stock fluctuated 0% from a day low at $12.48 to a day high of $12.48. |
90 days | $12.23 | $12.49 | |
52 weeks | $10.90 | $13.64 |
Date | Open | High | Low | Close | Volume |
Jun 22, 2023 | $11.45 | $11.48 | $11.30 | $11.34 | 228 305 |
Jun 21, 2023 | $11.62 | $11.62 | $11.45 | $11.46 | 329 863 |
Jun 20, 2023 | $11.69 | $11.73 | $11.63 | $11.63 | 268 389 |
Jun 19, 2023 | $11.58 | $11.79 | $11.58 | $11.69 | 133 261 |
Jun 16, 2023 | $11.85 | $11.85 | $11.53 | $11.55 | 1 009 382 |
Jun 15, 2023 | $11.95 | $11.95 | $11.78 | $11.79 | 404 613 |
Jun 14, 2023 | $12.11 | $12.11 | $11.84 | $11.95 | 425 887 |
Jun 13, 2023 | $12.27 | $12.30 | $12.10 | $12.18 | 574 533 |
Jun 12, 2023 | $12.43 | $12.43 | $12.21 | $12.26 | 455 397 |
Jun 09, 2023 | $12.47 | $12.54 | $12.39 | $12.43 | 241 234 |
Jun 08, 2023 | $12.47 | $12.47 | $12.38 | $12.46 | 224 228 |
Jun 07, 2023 | $12.58 | $12.58 | $12.42 | $12.47 | 247 864 |
Jun 06, 2023 | $12.51 | $12.58 | $12.39 | $12.55 | 218 567 |
Jun 05, 2023 | $12.55 | $12.57 | $12.46 | $12.49 | 180 866 |
Jun 02, 2023 | $12.35 | $12.56 | $12.25 | $12.51 | 444 253 |
Jun 01, 2023 | $12.65 | $12.72 | $12.38 | $12.40 | 620 468 |
May 31, 2023 | $12.88 | $12.88 | $12.53 | $12.61 | 557 595 |
May 30, 2023 | $13.10 | $13.15 | $12.82 | $12.90 | 315 386 |
May 29, 2023 | $12.81 | $13.10 | $12.80 | $13.07 | 293 335 |
May 26, 2023 | $12.71 | $12.80 | $12.61 | $12.77 | 130 469 |
May 25, 2023 | $12.73 | $12.79 | $12.61 | $12.73 | 290 486 |
May 24, 2023 | $12.82 | $12.82 | $12.66 | $12.75 | 284 547 |
May 23, 2023 | $12.75 | $12.93 | $12.74 | $12.83 | 268 654 |
May 19, 2023 | $12.70 | $12.82 | $12.67 | $12.79 | 243 159 |
May 18, 2023 | $12.68 | $12.72 | $12.58 | $12.70 | 273 187 |
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 RNW.TO stock historical prices to predict future price movements?
Trend Analysis: Examine the RNW.TO 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 RNW.TO 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.