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LRNZ
Upturn stock ratingUpturn stock rating

TrueShares Technology AI and Deep Learning ETF (LRNZ)

Upturn stock ratingUpturn stock rating
$34.71
Delayed price
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PASS
  • BUY Advisory
  • SELL Advisory (Profit)​
  • SELL Advisory (Loss)​
  • Profit
  • Loss
  • Pass (Skip investing)
Upturn Stock infoUpturn Stock info Stock price based on last close
*as per simulation
(see disclosures)
Time period over
  • ALL
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Upturn Advisory Summary

04/01/2025: LRNZ (1-star) is currently NOT-A-BUY. Pass it for now.

Upturn Star Rating

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Not Recommended Performance

These Stocks/ETFs, based on Upturn Advisory, consistently fall short of market performance, signaling caution before investing.

AI Based Fundamental Rating

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Moderate Performance

These Stocks/ETFs, based on Upturn Advisory, typically align with the market average, offering steady but unremarkable returns.

Analysis of Past Performance

Type ETF
Historic Profit 0.31%
Avg. Invested days 32
Today’s Advisory PASS
Upturn Star Rating Upturn stock ratingUpturn stock rating
Upturn Advisory Performance Upturn Advisory Performance 3.0
ETF Returns Performance Upturn Returns Performance 1.0
Upturn Profits based on simulationUpturn Profits based on simulation Profits based on simulation
Upturn Profits based on simulationUpturn Profits based on simulation Last Close 04/01/2025

Key Highlights

Volume (30-day avg) 11357
Beta 1.15
52 Weeks Range 31.59 - 45.04
Updated Date 04/2/2025
52 Weeks Range 31.59 - 45.04
Updated Date 04/2/2025

ai summary icon Upturn AI SWOT

TrueShares Technology AI and Deep Learning ETF

stock logo

ETF Overview

overview logo Overview

The TrueShares Technology AI and Deep Learning ETF (LRNZ) seeks to provide investment results that correspond generally to the price and yield performance, before fees and expenses, of the ROBO Global Artificial Intelligence Index. The fund focuses on companies involved in artificial intelligence and deep learning technologies, targeting the technology sector. It employs a tiered weighting methodology to offer exposure to companies poised to benefit from the AI revolution.

reliability logo Reputation and Reliability

TrueShares ETFs is a relatively new entrant in the ETF market, focusing on thematic and disruptive innovation strategies. Their reputation is still developing.

reliability logo Management Expertise

The management team leverages the expertise of ROBO Global in robotics, automation, and AI to construct and manage the underlying index.

Investment Objective

overview logo Goal

The primary investment goal of LRNZ is to track the performance of the ROBO Global Artificial Intelligence Index, reflecting companies that stand to benefit from the adoption of artificial intelligence.

Investment Approach and Strategy

Strategy: LRNZ aims to replicate the performance of the ROBO Global Artificial Intelligence Index. It selects companies based on their involvement in AI and deep learning technologies.

Composition The ETF holds a portfolio of stocks, predominantly in the technology sector, that are related to artificial intelligence and deep learning. It uses a tiered weighting strategy to allocate assets.

Market Position

Market Share: LRNZ holds a small market share within the AI and technology ETF sector.

Total Net Assets (AUM): 54710000

Competitors

overview logo Key Competitors

  • Global X Robotics & Artificial Intelligence ETF (BOTZ)
  • ROBO Global Robotics and Automation Index ETF (ROBO)
  • ARK Autonomous Technology & Robotics ETF (ARKQ)

Competitive Landscape

The AI and robotics ETF market is highly competitive. LRNZ distinguishes itself with a focus on AI and Deep Learning, but faces stiff competition from established players like BOTZ and ARKQ, which have higher AUM and trading volumes. LRNZ's relative disadvantage is its smaller size and shorter track record.

Financial Performance

Historical Performance: Historical performance data is limited due to LRNZ's relatively recent inception. Reviewing its performance since launch is crucial.

Benchmark Comparison: Comparing LRNZ's performance to the ROBO Global Artificial Intelligence Index is key to assessing its tracking efficiency.

Expense Ratio: 0.68

Liquidity

Average Trading Volume

LRNZ's average trading volume is moderate, which may impact the ease of buying and selling large blocks of shares.

Bid-Ask Spread

The bid-ask spread should be monitored to assess the cost of trading, as a wider spread indicates lower liquidity and potentially higher transaction costs.

Market Dynamics

Market Environment Factors

Growth in the AI sector, technological advancements, regulatory environment, and global economic conditions all influence LRNZ's performance.

Growth Trajectory

LRNZ's growth is tied to the broader adoption and integration of AI technologies across various industries. Monitor for changes in the fund's investment strategy, holdings, and sector allocations.

Moat and Competitive Advantages

Competitive Edge

LRNZ's competitive edge lies in its exclusive focus on companies actively developing and deploying AI and deep learning technologies. This targeted strategy can provide more direct exposure to the growth of the AI sector compared to broader technology ETFs. The ROBO Global index methodology aims for precise AI-driven exposure. However, the ETF's smaller AUM and limited track record represent disadvantages in comparison to some larger, more established peers.

Risk Analysis

Volatility

Volatility is moderate and should be expected, as the AI sector can be sensitive to technological advancements, market sentiment, and regulatory changes.

Market Risk

Market risk is significant due to the concentrated nature of the AI sector. The ETF's performance is susceptible to broad market downturns and sector-specific challenges.

Investor Profile

Ideal Investor Profile

The ideal investor for LRNZ is one who is bullish on the long-term prospects of AI and deep learning and seeks targeted exposure to this growing sector.

Market Risk

LRNZ is best suited for long-term investors who are comfortable with moderate to high risk and have a strong conviction in the growth potential of AI technologies.

Summary

The TrueShares Technology AI and Deep Learning ETF (LRNZ) provides targeted exposure to companies involved in artificial intelligence and deep learning. The ETFu2019s performance is tied closely to the growth and adoption of AI technologies. Its focused investment strategy differentiates it from broader technology ETFs. However, the ETF's smaller AUM and shorter track record may pose challenges compared to more established competitors. Investors should be aware of the moderate to high risk associated with the AI sector.

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Sources and Disclaimers

Data Sources:

  • TrueShares ETFs Website
  • ROBO Global Website
  • ETF.com
  • Morningstar

Disclaimers:

The data and analysis provided are for informational purposes only and should not be considered investment advice. Past performance is not indicative of future results. Consult with a qualified financial advisor before making any investment decisions.

Upturn AI SummarizationUpturn AI Summarization AI Summarization is directionally correct and might not be accurate.

Upturn AI SummarizationUpturn AI Summarization Summarized information shown could be a few years old and not current.

Upturn AI SummarizationUpturn AI Summarization Fundamental Rating based on AI could be based on old data.

Upturn AI SummarizationUpturn AI Summarization AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.

About TrueShares Technology AI and Deep Learning ETF

Exchange NYSE ARCA
Headquaters -
IPO Launch date -
CEO -
Sector -
Industry -
Full time employees -
Website
Full time employees -
Website

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.

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