OTCMKTS:CNNRF
Delisted
CannaRoyalty Corp Stock Price (Quote)
$5.75
+0 (+0%)
At Close: Dec 06, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.75 | $5.75 | Thursday, 6th Dec 2018 CNNRF stock ended at $5.75. During the day the stock fluctuated 0% from a day low at $5.75 to a day high of $5.75. |
90 days | $4.29 | $7.00 | |
52 weeks | $1.83 | $7.00 |
Date | Open | High | Low | Close | Volume |
Jan 16, 2018 | $3.50 | $3.52 | $3.39 | $3.47 | 187 493 |
Jan 12, 2018 | $3.45 | $3.59 | $3.11 | $3.35 | 251 678 |
Jan 11, 2018 | $3.81 | $3.81 | $3.42 | $3.55 | 212 689 |
Jan 10, 2018 | $3.76 | $3.82 | $3.45 | $3.80 | 253 936 |
Jan 09, 2018 | $4.00 | $4.00 | $3.68 | $3.75 | 185 044 |
Jan 08, 2018 | $3.80 | $4.02 | $3.74 | $3.82 | 312 054 |
Jan 05, 2018 | $3.15 | $3.75 | $3.10 | $3.63 | 387 778 |
Jan 04, 2018 | $4.10 | $4.33 | $3.23 | $3.42 | 801 176 |
Jan 03, 2018 | $4.16 | $4.58 | $3.95 | $4.04 | 591 361 |
Jan 02, 2018 | $3.32 | $4.01 | $3.16 | $3.78 | 445 536 |
Dec 29, 2017 | $3.12 | $3.12 | $2.70 | $2.99 | 305 763 |
Dec 28, 2017 | $2.80 | $3.00 | $2.78 | $2.90 | 168 628 |
Dec 27, 2017 | $2.50 | $2.76 | $2.38 | $2.76 | 202 301 |
Dec 26, 2017 | $2.36 | $2.58 | $2.36 | $2.48 | 72 071 |
Dec 22, 2017 | $2.50 | $2.50 | $2.37 | $2.40 | 40 095 |
Dec 21, 2017 | $2.50 | $2.55 | $2.40 | $2.50 | 63 430 |
Dec 20, 2017 | $2.41 | $2.43 | $2.37 | $2.40 | 60 230 |
Dec 18, 2017 | $2.36 | $2.48 | $2.34 | $2.35 | 118 972 |
Dec 15, 2017 | $2.39 | $2.42 | $2.29 | $2.33 | 203 504 |
Dec 14, 2017 | $2.31 | $2.33 | $2.23 | $2.30 | 104 177 |
Dec 13, 2017 | $2.40 | $2.45 | $2.28 | $2.28 | 122 229 |
Dec 12, 2017 | $2.13 | $2.28 | $2.13 | $2.25 | 94 887 |
Dec 11, 2017 | $2.13 | $2.23 | $2.10 | $2.11 | 18 891 |
Dec 08, 2017 | $2.20 | $2.20 | $1.83 | $2.10 | 239 318 |
Dec 07, 2017 | $2.22 | $2.22 | $2.14 | $2.17 | 43 591 |
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 CNNRF stock historical prices to predict future price movements?
Trend Analysis: Examine the CNNRF 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 CNNRF 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.