The fintech company that recently went public is introducing machine learning-based strategies.
The new tool analyzes 3.5 million eToro users, bringing hedge fund-style strategies to retail investors.
Why is eToro share price going down today? Let's check current eToro stock quote
Online
trading platform eToro (NASDAQ: ETOR) has introduced 7 new investment portfolios powered by artificial intelligence, built on the analysis of its retail trading data, the company announced today (Wednesday).
However, the entry threshold may be too high for many small investors.
eToro Launches AI-Driven
Investment Portfolios Using Retail Trading Data
The Alpha
Portfolios represent eToro's attempt to democratize quantitative investment
strategies typically reserved for hedge funds and institutional investors. The
offerings utilize machine learning algorithms to analyze patterns within
eToro's database of retail trading activity from its registered
users worldwide.
"We're
excited to give our users access to exclusive quant-driven strategies typically
used by hedge funds and institutional investors with the new Alpha
Portfolios," said Shay Heffetz, Director of Quantitative Investment
Strategies at eToro. "These kinds of strategies have long been out of
reach for retail investors, as they normally have high entry barriers, costly
management fees, restrictive lock-up periods and less transparency in terms of
asset allocation."
According
to the company, this dataset provides insights unavailable to traditional fund
managers, according to the company. The machine learning models identify
patterns and behavioral inefficiencies within this data pool to systematically
adapt investment strategies aimed at generating alpha, or returns exceeding
market performance.
Portfolio Offerings
The seven portfolios fall into two main categories. Directional strategies include
Momentum L-S, which takes long positions in high-momentum US stocks while
shorting underperformers, and OutSmartNSDQ, a technology-focused approach
targeting Nasdaq outperformance with downside protection.
Performance of the Momentum L-S. Source: eToro
Market-neutral
strategies comprise Sector Neutral, designed for low market correlation and
consistent returns, and Sector Gurus, which targets volatile but
high-performing S&P 500 stocks. Both neutral strategies offer leveraged
versions with 2x exposure.
NasdaqAI-Inverse
provides a defensive option by shorting 50 Nasdaq 100 stocks identified as
likely to decline during market downturns.
Portfolio
Name
Strategy
Type
Description
Momentum
L-S
Directional
Long/short US equity strategy
selecting high-momentum stocks for long positions while shorting
underperformers
OutSmartNSDQ
Directional
Technology-focused long/short
strategy targeting Nasdaq outperformance with downside protection
NasdaqAI-Inverse
Directional
Defensive strategy shorting 50
Nasdaq 100 stocks likely to decline during market downturns
Sector
Neutral
Market-Neutral
Long/short strategy seeking low
market correlation for consistent, low-volatility returns
Each
portfolio undergoes monthly rebalancing using updated data and AI signals to
maintain alignment with market conditions. Minimum investments begin at
$10,000, with no management fees, performance fees, or lock-up periods imposed
on investors.
The
mentioned amount may be too high for many investors. However, it’s worth noting
that with this product, eToro aims to compete with traditional asset managers.
It offers retail investors institutional-style strategies that would normally
be unavailable to them or would require significantly higher entry thresholds.
eToro Wastes No Time After
IPO
Although
less than a month has passed since
eToro’s rather strong IPO on Wall Street, the now publicly traded company
is moving quickly to please shareholders. The recently announced AI-driven
portfolios mark another product update in just a few weeks.
Online
trading platform eToro (NASDAQ: ETOR) has introduced 7 new investment portfolios powered by artificial intelligence, built on the analysis of its retail trading data, the company announced today (Wednesday).
However, the entry threshold may be too high for many small investors.
eToro Launches AI-Driven
Investment Portfolios Using Retail Trading Data
The Alpha
Portfolios represent eToro's attempt to democratize quantitative investment
strategies typically reserved for hedge funds and institutional investors. The
offerings utilize machine learning algorithms to analyze patterns within
eToro's database of retail trading activity from its registered
users worldwide.
"We're
excited to give our users access to exclusive quant-driven strategies typically
used by hedge funds and institutional investors with the new Alpha
Portfolios," said Shay Heffetz, Director of Quantitative Investment
Strategies at eToro. "These kinds of strategies have long been out of
reach for retail investors, as they normally have high entry barriers, costly
management fees, restrictive lock-up periods and less transparency in terms of
asset allocation."
According
to the company, this dataset provides insights unavailable to traditional fund
managers, according to the company. The machine learning models identify
patterns and behavioral inefficiencies within this data pool to systematically
adapt investment strategies aimed at generating alpha, or returns exceeding
market performance.
Portfolio Offerings
The seven portfolios fall into two main categories. Directional strategies include
Momentum L-S, which takes long positions in high-momentum US stocks while
shorting underperformers, and OutSmartNSDQ, a technology-focused approach
targeting Nasdaq outperformance with downside protection.
Performance of the Momentum L-S. Source: eToro
Market-neutral
strategies comprise Sector Neutral, designed for low market correlation and
consistent returns, and Sector Gurus, which targets volatile but
high-performing S&P 500 stocks. Both neutral strategies offer leveraged
versions with 2x exposure.
NasdaqAI-Inverse
provides a defensive option by shorting 50 Nasdaq 100 stocks identified as
likely to decline during market downturns.
Portfolio
Name
Strategy
Type
Description
Momentum
L-S
Directional
Long/short US equity strategy
selecting high-momentum stocks for long positions while shorting
underperformers
OutSmartNSDQ
Directional
Technology-focused long/short
strategy targeting Nasdaq outperformance with downside protection
NasdaqAI-Inverse
Directional
Defensive strategy shorting 50
Nasdaq 100 stocks likely to decline during market downturns
Sector
Neutral
Market-Neutral
Long/short strategy seeking low
market correlation for consistent, low-volatility returns
Each
portfolio undergoes monthly rebalancing using updated data and AI signals to
maintain alignment with market conditions. Minimum investments begin at
$10,000, with no management fees, performance fees, or lock-up periods imposed
on investors.
The
mentioned amount may be too high for many investors. However, it’s worth noting
that with this product, eToro aims to compete with traditional asset managers.
It offers retail investors institutional-style strategies that would normally
be unavailable to them or would require significantly higher entry thresholds.
eToro Wastes No Time After
IPO
Although
less than a month has passed since
eToro’s rather strong IPO on Wall Street, the now publicly traded company
is moving quickly to please shareholders. The recently announced AI-driven
portfolios mark another product update in just a few weeks.
Damian's adventure with financial markets began at the Cracow University of Economics, where he obtained his MA in finance and accounting. Starting from the retail trader perspective, he collaborated with brokerage houses and financial portals in Poland as an independent editor and content manager. His adventure with Finance Magnates began in 2016, where he is working as a business intelligence analyst.
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Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
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#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
In this video, we take an in-depth look at @BlueberryMarketsForex , a forex and CFD broker operating since 2016, offering access to multiple trading platforms, over 1,000 instruments, and flexible account types for different trading styles.
We break down Blueberry’s regulatory structure, including its Australian Financial Services License (AFSL), as well as its authorisation and registrations in other jurisdictions. The review also covers supported platforms such as MetaTrader 4, MetaTrader 5, cTrader, TradingView, Blueberry.X, and web-based trading.
You’ll learn about available instruments across forex, commodities, indices, share CFDs, and crypto CFDs, along with leverage options, minimum and maximum trade sizes, and how Blueberry structures its Standard and Raw accounts.
We also explain spreads, commissions, swap rates, swap-free account availability, funding and withdrawal methods, processing times, and what traders can expect from customer support and additional services.
Watch the full review to see whether Blueberry’s trading setup aligns with your experience level, strategy, and risk tolerance.
📣 Stay up to date with the latest in finance and trading. Follow Finance Magnates for industry news, insights, and global event coverage.
Connect with us:
🔗 LinkedIn: /financemagnates
👍 Facebook: /financemagnates
📸 Instagram: https://www.instagram.com/financemagnates
🐦 X: https://x.com/financemagnates
🎥 TikTok: https://www.tiktok.com/tag/financemagnates
▶️ YouTube: /@financemagnates_official
#Blueberry #BlueberryMarkets #BrokerReview #ForexBroker #CFDTrading #OnlineTrading #FinanceMagnates #TradingPlatforms #MarketInsights
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#Exness #Forex #Trading #SouthAfrica #CapeTown #Finance #FinanceMagnates
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- What makes their trading product stand out
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⚖ Balanced reporting
📞 Right of response
📰 Responsible journalism
#FinanceMagnates #FinancialJournalism #ResponsibleReporting #FinanceNews #EditorialStandards
Yam Yehoshua, Editor-in-Chief at Finance Magnates, explains the approach: reaching out before publication, hearing all sides, and making careful, case-by-case decisions with balance and responsibility.
⚖ Balanced reporting
📞 Right of response
📰 Responsible journalism
#FinanceMagnates #FinancialJournalism #ResponsibleReporting #FinanceNews #EditorialStandards
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We finish with a look at how he uses AI in his daily workflow — both inside the brokerage and in his own trading.
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We begin with his take on the Summit and then turn to broker growth. Kieran shares one quick, practical tip brokers can use right now to improve performance. We also cover the rising spotlight on prop trading and whether it is good or bad for the trading industry.
Kieran explains where Darwinex sits on the CFDs-broker-meets-funding spectrum, and how the model differs from the typical setups seen across the market.
We finish with a look at how he uses AI in his daily workflow — both inside the brokerage and in his own trading.
Why does trust matter in financial news? #TrustedNews #FinanceNews #CapitalMarkets
Why does trust matter in financial news? #TrustedNews #FinanceNews #CapitalMarkets
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📰 Verified reporting
🔎 Human-led scrutiny
✅ Facts over noise
According to Yam Yehoshua, Editor-in-Chief at Finance Magnates, in a world flooded with information, the difference lies in rigorous cross-checking, human scrutiny, and a commitment to publishing only factual, trustworthy reporting.
📰 Verified reporting
🔎 Human-led scrutiny
✅ Facts over noise