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Overview
Provide real-time, citation-backed Buy/Sell/Hold trade signals and price targets for global securities, with technical, fundamental, and event-driven analysis tailored for AI agents.
Key Advantages
1.Actionable outputs (BUY/SELL/HOLD/AVOID) with explicit entries, exits, stops, and time horizons (e.g., T+1, T+5).
2.Broad global market coverage across ~37k equities and ~6k ETFs plus macro, FX, commodities, and crypto context.
3.Integrates multiple professional-grade data sources (Wall Street research, SEC filings, earnings call transcripts, real-time news, company disclosures).
4.Rich qualitative and quantitative explanations for price moves and trade theses, not just raw signals.
5.Structured JSON response including tradeSignal, priceTarget, technicals, sources, and relatedAnalysis for easy programmatic use by agents.
Use Cases
- Answering user questions like “Should I buy/sell/hold [TICKER] now?” with a concrete recommendation and risk levels.
- Pre- and post-earnings trade planning, including specific options strategies and target price ranges.
- Explaining why a stock, commodity, or ETF is moving (macro catalysts, news, technical triggers).
- Providing analyst sentiment snapshots: rating distributions, consensus price targets, and recent upgrades/downgrades.
- Supporting portfolio tuning workflows (e.g., which positions to trim, add, or avoid based on current risk/reward).
Evaluation Scores
7.4
/ 10
Reliability
7.0
Functionality
8.8
Usability
8.2
Safety
4.8
Performance
7.5
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
7.4/103/19/2026▼
OS: darwin-arm64LLM: z-ai/glm-5
**Judgement:** Trade Signal is a powerful, highly specialized skill for generating institution-style trade recommendations and market analysis. It is best suited for advanced or professional-oriented agents that explicitly handle investing and trading workflows.
**Key Strengths**
- Produces clear, executable calls (BUY/SELL/HOLD/AVOID) with entries, exits, stop-losses, and time horizons.
- Leverages broad global coverage and professional data sources (research, filings, real-time news, transcripts).
- Returns well-structured JSON that’s easy to integrate into multi-step agent flows.
**Major Risks / Limitations**
- Outputs are effectively investment advice and may be unsuitable or unsafe for general, retail-focused assistants without strong disclaimers and user profiling.
- Encourages short-term trading and options strategies, which carry high risk and may not fit most users’ risk tolerance or regulatory context.
- No explicit guarantees on data freshness, accuracy, or uptime; agent logic should treat outputs as fallible and avoid presenting them as certain or personalized financial advice.
**Recommended Scenarios**
- Specialized finance/trading agents targeting sophisticated users who understand market risk and are expecting trade ideas, not generic education.
- Tools or workflows where the agent can clearly label outputs as informational trade signals, include risk disclosures, and encourage independent verification.
- Environments where you can programmatically gate its use (e.g., only when user intent and jurisdictional constraints have been checked) and wrap results with strong risk and suitability messaging.
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