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TrueShares Technology, AI and Deep ETF Price (Quote)

$35.79
-0.90 (-2.46%)
At Close: May 31, 2024

Range Low Price High Price Comment
30 days $35.46 $39.20 Friday, 31st May 2024 LRNZ stock ended at $35.79. This is 2.46% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 3.21% from a day low at $35.46 to a day high of $36.60.
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
Sep 25, 2020 $38.07 $38.52 $38.00 $38.30 5 891
Sep 24, 2020 $37.22 $37.87 $37.22 $37.39 2 373
Sep 23, 2020 $38.61 $38.68 $37.46 $37.46 12 581
Sep 22, 2020 $38.22 $38.57 $37.91 $38.57 3 997
Sep 21, 2020 $36.57 $38.07 $36.42 $38.07 54 760
Sep 18, 2020 $36.72 $37.07 $36.62 $37.07 1 990
Sep 17, 2020 $36.25 $36.64 $36.10 $36.64 11 507
Sep 16, 2020 $37.37 $37.46 $36.98 $36.98 2 544
Sep 15, 2020 $37.34 $37.34 $36.92 $37.17 12 381
Sep 14, 2020 $36.80 $36.81 $36.67 $36.75 9 867
Sep 11, 2020 $36.65 $36.75 $35.68 $35.95 4 073
Sep 10, 2020 $37.57 $37.59 $36.58 $36.58 2 513
Sep 09, 2020 $36.85 $36.98 $36.48 $36.98 2 922
Sep 08, 2020 $35.61 $36.90 $35.52 $36.18 9 635
Sep 04, 2020 $37.94 $37.94 $35.60 $36.98 13 707
Sep 03, 2020 $39.43 $39.43 $37.53 $37.84 12 894
Sep 02, 2020 $40.20 $40.54 $39.61 $40.39 4 419
Sep 01, 2020 $39.84 $40.51 $39.82 $40.42 11 972
Aug 31, 2020 $39.16 $39.60 $39.16 $39.41 5 910
Aug 28, 2020 $38.75 $39.12 $38.75 $39.03 3 806
Aug 27, 2020 $38.62 $39.11 $38.45 $38.67 6 332
Aug 26, 2020 $38.55 $39.03 $38.55 $38.83 4 537
Aug 25, 2020 $37.00 $37.50 $37.00 $37.49 6 511
Aug 24, 2020 $37.75 $37.75 $36.59 $36.99 4 807
Aug 21, 2020 $37.18 $37.39 $37.06 $37.21 7 609

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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