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 |
May 17, 2023 | $12.72 | $12.74 | $12.53 | $12.72 | 445 930 |
May 16, 2023 | $12.66 | $12.69 | $12.47 | $12.69 | 440 890 |
May 15, 2023 | $12.23 | $12.80 | $12.20 | $12.67 | 1 218 072 |
May 12, 2023 | $12.09 | $12.22 | $11.98 | $11.99 | 339 263 |
May 11, 2023 | $12.31 | $12.43 | $12.10 | $12.13 | 428 682 |
May 10, 2023 | $12.32 | $12.34 | $12.01 | $12.17 | 469 158 |
May 09, 2023 | $12.13 | $12.37 | $12.06 | $12.27 | 665 993 |
May 08, 2023 | $12.50 | $12.54 | $12.02 | $12.17 | 818 015 |
May 05, 2023 | $12.67 | $12.77 | $12.47 | $12.61 | 451 154 |
May 04, 2023 | $12.71 | $12.74 | $12.57 | $12.63 | 357 138 |
May 03, 2023 | $12.57 | $12.82 | $12.57 | $12.73 | 442 012 |
May 02, 2023 | $12.72 | $12.72 | $12.51 | $12.65 | 268 656 |
May 01, 2023 | $12.70 | $12.74 | $12.64 | $12.72 | 270 997 |
Apr 28, 2023 | $12.60 | $12.67 | $12.54 | $12.65 | 297 616 |
Apr 27, 2023 | $12.44 | $12.62 | $12.41 | $12.59 | 436 693 |
Apr 26, 2023 | $12.52 | $12.57 | $12.36 | $12.38 | 281 990 |
Apr 25, 2023 | $12.49 | $12.58 | $12.47 | $12.56 | 195 870 |
Apr 24, 2023 | $12.52 | $12.59 | $12.48 | $12.49 | 220 754 |
Apr 21, 2023 | $12.46 | $12.55 | $12.39 | $12.55 | 181 920 |
Apr 20, 2023 | $12.52 | $12.55 | $12.38 | $12.42 | 198 169 |
Apr 19, 2023 | $12.39 | $12.54 | $12.39 | $12.53 | 244 653 |
Apr 18, 2023 | $12.65 | $12.65 | $12.35 | $12.39 | 308 583 |
Apr 17, 2023 | $12.52 | $12.63 | $12.46 | $12.61 | 533 879 |
Apr 14, 2023 | $12.60 | $12.71 | $12.36 | $12.51 | 373 947 |
Apr 13, 2023 | $12.58 | $12.71 | $12.50 | $12.65 | 280 724 |
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.