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TrueShares Technology, AI and Deep ETF Price (Quote)

$38.28
-0.0799 (-0.208%)
At Close: May 17, 2024

Range Low Price High Price Comment
30 days $34.44 $38.68 Friday, 17th May 2024 LRNZ stock ended at $38.28. This is 0.208% less than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 0.92% from a day low at $38.06 to a day high of $38.41.
90 days $34.44 $41.48
52 weeks $27.11 $41.73

Historical TrueShares Technology, AI and Deep Learning ETF prices

Date Open High Low Close Volume
Apr 12, 2024 $37.71 $37.79 $37.27 $37.39 11 469
Apr 11, 2024 $37.93 $38.19 $37.75 $38.19 9 072
Apr 10, 2024 $37.47 $37.72 $37.18 $37.62 6 816
Apr 09, 2024 $38.13 $38.21 $37.77 $37.92 15 259
Apr 08, 2024 $37.95 $38.07 $37.79 $38.03 10 604
Apr 05, 2024 $37.61 $37.99 $37.61 $37.82 17 929
Apr 04, 2024 $38.42 $38.48 $37.22 $37.48 3 456
Apr 03, 2024 $37.89 $38.30 $37.84 $37.93 9 731
Apr 02, 2024 $38.04 $38.21 $37.59 $38.21 8 515
Apr 01, 2024 $39.23 $39.23 $38.74 $38.80 9 011
Mar 28, 2024 $39.07 $39.33 $39.05 $39.09 7 995
Mar 27, 2024 $38.48 $39.03 $38.48 $39.00 2 941
Mar 26, 2024 $39.58 $39.58 $39.06 $39.12 20 834
Mar 25, 2024 $39.03 $39.44 $39.03 $39.30 21 732
Mar 22, 2024 $39.21 $39.34 $38.92 $39.34 3 130
Mar 21, 2024 $39.73 $39.78 $39.31 $39.31 16 013
Mar 20, 2024 $38.40 $39.05 $38.30 $38.97 14 074
Mar 19, 2024 $38.00 $38.57 $37.61 $38.31 9 317
Mar 18, 2024 $38.48 $38.59 $38.28 $38.44 14 870
Mar 15, 2024 $38.52 $38.52 $38.24 $38.40 5 819
Mar 14, 2024 $39.77 $39.83 $38.61 $38.69 8 371
Mar 13, 2024 $40.18 $40.26 $40.01 $40.01 5 060
Mar 12, 2024 $39.69 $40.25 $39.62 $40.22 8 153
Mar 11, 2024 $39.55 $39.64 $39.41 $39.41 5 043
Mar 08, 2024 $40.83 $41.48 $39.81 $39.98 14 849

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.

How can I use LRNZ stock historical prices to predict future price movements?
Trend Analysis: Examine the LRNZ 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.

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.

Why do the LRNZ 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.
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About TrueShares Technology, AI and Deep Learning ETF

Under normal circumstances, at least 80% of its net assets (plus any borrowings made for investment purposes) in the common stock of technology, artificial intelligence and deep learning companies. It may also invest in small and medium capitalized companies, as the Adviser believes these relatively smaller companies may provide above average capital appreciation and dividend yield. The fund is non-diversified.... LRNZ Profile

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