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eToroEarnings

eToro Launches AI Trading Platform App With Agentic Trading

What happened

eToro's net income for Q1 2026 climbed 37% to $82 million.

Source

Article excerpt

Moreover, built-in social investing feeds let customers benchmark moves against top peers. These upgrades mirror a wider shift toward automation and personal control. In contrast, legacy brokers still depend on passive alerts and manual tickets. This article dissects the launch, explains the tech, reviews the numbers, and highlights remaining risks. Firstly, the rebuilt mobile platform centers on Tori, a conversational agent with memory. Additionally, Tori surfaces price swings, community sentiment, and clear explanations. The agent even drafts orders that users approve with one tap. Meanwhile, eToro added sub-accounts that isolate risk for agentic trading experiments. Therefore, individuals can test automation without jeopardising main holdings. Integration with WhatsApp and Apple Watch extends reach beyond the core app. The launch marks eToro’s evolution into a full AI Trading Platform rather than a simple brokerage. Moreover, CEO Yoni Assia says collective track records fuel the model’s suggestions. Tori and the new interface encourage always-on guidance for retail traders. However, deeper capabilities appear in the agentic layer discussed next. Agentic trading lets small algorithms manage capital inside dedicated sub-accounts. Consequently, the user defines budgets, assets, and risk rules. The agent executes trades only within that sandbox. In practice, a trader chats...

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Extracted from this sentence

Net income climbed 37 percent to $82 million.

Extracted by Autobound

From the Signal API record
Event
Earnings

What this signalsEarnings results often set the next budget cycle.

Amount named
$82M

The full record

From the Signal API record

Numbers

Amount named in the story
$82M

Extraction

Confidence
90%
Detected
Jul 14, 2026
signal_type
news
signal_subtype
has_earnings

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

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{
  "signal_id": "5c5b1abd-fb81-7f00-c39f-23ef7170a123",
  "signal_type": "news",
  "signal_subtype": "has_earnings",
  "detected_at": "2026-07-14T06:32:10+00:00",
  "company": {
    "name": "eToro",
    "domain": "etoro.com"
  },
  "data": {
    "url": "https://www.aicerts.ai/news/etoro-launches-ai-trading-platform-app-with-agentic-trading/",
    "title": "eToro Launches AI Trading Platform App With Agentic Trading - AI CERTs",
    "excerpt": "Moreover, built-in social investing feeds let customers benchmark moves against top peers. These upgrades mirror a wider shift toward automation and personal control. In contrast, legacy brokers still depend on passive alerts and manual tickets. This article dissects the launch, explains the tech, reviews the numbers, and highlights remaining risks. Firstly, the rebuilt mobile platform centers on Tori, a conversational agent with memory. Additionally, Tori surfaces price swings, community sentiment, and clear explanations. The agent even drafts orders that users approve with one tap. Meanwhile, eToro added sub-accounts that isolate risk for agentic trading experiments. Therefore, individuals can test automation without jeopardising main holdings. Integration with WhatsApp and Apple Watch extends reach beyond the core app. The launch marks eToro’s evolution into a full AI Trading Platform rather than a simple brokerage. Moreover, CEO Yoni Assia says collective track records fuel the model’s suggestions. Tori and the new interface encourage always-on guidance for retail traders. However, deeper capabilities appear in the agentic layer discussed next. Agentic trading lets small algorithms manage capital inside dedicated sub-accounts. Consequently, the user defines budgets, assets, and risk rules. The agent executes trades only within that sandbox. In practice, a trader chats with...",
    "summary": "eToro's net income for Q1 2026 climbed 37% to $82 million.",
    "planning": false,
    "image_url": "https://aicertswpcdn.blob.core.windows.net/newsportal/2026/07/modern-trading-setup.jpg",
    "confidence": 0.9,
    "published_at": "2026-07-14T06:32:10Z",
    "article_sentence": "Net income climbed 37 percent to $82 million.",
    "amount_normalized": 82000000
  }
}

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