NASDAQ:TRNX
Delisted
Taronis Technologies Inc. Stock Price (Quote)
$0.0001
+0 (+0%)
At Close: May 05, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.0001 | $0.0001 | Friday, 5th May 2023 TRNX stock ended at $0.0001. During the day the stock fluctuated 0% from a day low at $0.0001 to a day high of $0.0001. |
90 days | $0.0001 | $0.0003 | |
52 weeks | $0.0001 | $0.0050 |
Date | Open | High | Low | Close | Volume |
Dec 21, 2017 | $0.330 | $0.476 | $0.321 | $0.385 | 11 814 191 |
Dec 20, 2017 | $0.330 | $0.335 | $0.301 | $0.320 | 707 223 |
Dec 19, 2017 | $0.300 | $0.340 | $0.292 | $0.310 | 1 091 808 |
Dec 18, 2017 | $0.300 | $0.310 | $0.291 | $0.292 | 337 195 |
Dec 15, 2017 | $0.310 | $0.313 | $0.290 | $0.300 | 519 992 |
Dec 14, 2017 | $0.335 | $0.335 | $0.290 | $0.294 | 1 195 367 |
Dec 13, 2017 | $0.373 | $0.387 | $0.340 | $0.348 | 1 213 655 |
Dec 12, 2017 | $0.350 | $0.375 | $0.345 | $0.350 | 424 808 |
Dec 11, 2017 | $0.380 | $0.380 | $0.360 | $0.361 | 609 908 |
Dec 08, 2017 | $0.360 | $0.380 | $0.340 | $0.380 | 932 570 |
Dec 07, 2017 | $0.390 | $0.390 | $0.335 | $0.355 | 195 965 |
Dec 06, 2017 | $0.365 | $0.365 | $0.320 | $0.345 | 646 619 |
Dec 05, 2017 | $0.376 | $0.376 | $0.360 | $0.369 | 338 994 |
Dec 04, 2017 | $0.400 | $0.400 | $0.364 | $0.370 | 405 354 |
Dec 01, 2017 | $0.400 | $0.410 | $0.360 | $0.378 | 667 549 |
Nov 30, 2017 | $0.400 | $0.449 | $0.391 | $0.395 | 1 507 014 |
Nov 29, 2017 | $0.400 | $0.407 | $0.380 | $0.381 | 238 017 |
Nov 28, 2017 | $0.382 | $0.409 | $0.380 | $0.404 | 247 394 |
Nov 27, 2017 | $0.400 | $0.400 | $0.375 | $0.377 | 358 666 |
Nov 24, 2017 | $0.389 | $0.400 | $0.370 | $0.400 | 157 269 |
Nov 22, 2017 | $0.340 | $0.390 | $0.340 | $0.381 | 397 699 |
Nov 21, 2017 | $0.409 | $0.411 | $0.331 | $0.370 | 1 147 736 |
Nov 20, 2017 | $0.416 | $0.430 | $0.410 | $0.411 | 379 731 |
Nov 17, 2017 | $0.410 | $0.425 | $0.407 | $0.414 | 202 380 |
Nov 16, 2017 | $630.00 | $645.00 | $601.50 | $627.45 | 450 |
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 TRNX stock historical prices to predict future price movements?
Trend Analysis: Examine the TRNX 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 TRNX 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.