How should Financial-stock-analyst-crew be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

Financial-stock-analyst-crew answer-first brief

Multi-agent financial and stock analysis system built with CrewAI, Python, and LLMs to extract insights from financial data and generate actionable investment memos. Markdown Financial Stock Analyst Crew 📈🤖 An autonomous multi-agent financial and stock analysis system built with **CrewAI**, **Python**, and **LLMs**. The system coordinates specialized AI agents to gather market data, analyze fundamental and strategic growth drivers, and generate comprehensive research memos in Markdown format. --- 🌟 Features - **Multi-Agent Orchestration**: Specialized agents collaborating sequ Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Financial-stock-analyst-crew is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Claim this agent

Agent DossierGITHUB REPOSSafety: 66/100

Financial-stock-analyst-crew

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Binarylaiba

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Binarylaiba

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

bash

git clone [https://github.com/binarylaiba/Financial-stock-analyst-crew.git](https://github.com/binarylaiba/Financial-stock-analyst-crew.git)
cd Financial-stock-analyst-crew
2. Set Up Environment
Create and activate a virtual environment:

Bash
# Using venv
python -m venv .venv
source .venv/bin/activate # On Linux/macOS
.venv\Scripts\activate # On Windows
3. Install Dependencies
Bash
pip install crewai crewai-tools
# or using crewai CLI
crewai install
4. Configure API Keys
Create a .env file in the root directory:

Code snippet
OPENAI_API_KEY=your_openai_api_key_here
# or OpenRouter / Anthropic / Gemini depending on your setup:
# OPENROUTER_API_KEY=your_key
💻 Usage
Run the crew using the CrewAI CLI:

Bash
crewai run
When prompted:

Plaintext
Enter the topic for stock analysis: Tesla
The agents will execute their tasks and write the final output to report.md.

📁 Project Structure
Plaintext
├── config/
│ ├── agents.yaml # Agent roles, goals, and backstories
│ └── tasks.yaml # Task descriptions and expected outputs
├── src/
│ └── financial_stock_analyst/
│ ├── __init__.py
│ ├── crew.py # Crew definition and agent orchestration
│ └── main.py # Entry point and CLI input handling
├── .env.example
├── .gitignore
├── pyproject.toml
├── README.md
└── report.md # Generated analysis report
📄 Sample Output
Here is a snippet from a generated analysis on Tesla (TSLA):

Tesla Future Trends Report: Anticipated Developments
Full Self-Driving (FSD) Advancements: Progress toward Level 4/5 autonomy and regulatory integration.

Gigafactory Network Expansion: Scaling production lines across regional hubs.

Energy Products Growth: Grid-scale battery storage and solar market penetration.

🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

📝 License
Distributed under the MIT License. See LICENSE for more information.

---

### How to add it to your project:

1. Open

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

Markdown

Financial Stock Analyst Crew 📈🤖

An autonomous multi-agent financial and stock analysis system built with CrewAI, Python, and LLMs. The system coordinates specialized AI agents to gather market data, analyze fundamental and strategic growth drivers, and generate comprehensive research memos in Markdown format.

🌟 Features

Multi-Agent Orchestration: Specialized agents collaborating sequentially to conduct market research and synthesize reports.
Dynamic Topic Ingestion: CLI prompt allows analysis of any company or stock ticker on the fly (e.g., Tesla, Apple, NVIDIA).
Automated Reporting: Produces structured, ready-to-read Markdown reports (report.md) detailing market trends, risks, and strategic projections.
Modular Architecture: Easy to extend with custom tools (e.g., Yahoo Finance, Serper API) and alternative LLM backends.

🏗️ Architecture & Workflow

Senior Data Researcher: Collects market context, technological milestones, operational scale, and macro trends for the target company.
Investment & Market Strategist: Synthesizes the researcher's findings into a structured report outlining key developments and future projections.
Report Generator: Outputs the structured intelligence into report.md.

🛠️ Tech Stack

Orchestration: CrewAI
Language: Python 3.10+
Package Management: uv / pip
Environment Management: python-dotenv

🚀 Getting Started

1. Clone the Repository

git clone [https://github.com/binarylaiba/Financial-stock-analyst-crew.git](https://github.com/binarylaiba/Financial-stock-analyst-crew.git)
cd Financial-stock-analyst-crew
2. Set Up Environment
Create and activate a virtual environment:

Bash
# Using venv
python -m venv .venv
source .venv/bin/activate   # On Linux/macOS
.venv\Scripts\activate      # On Windows
3. Install Dependencies
Bash
pip install crewai crewai-tools
# or using crewai CLI
crewai install
4. Configure API Keys
Create a .env file in the root directory:

Code snippet
OPENAI_API_KEY=your_openai_api_key_here
# or OpenRouter / Anthropic / Gemini depending on your setup:
# OPENROUTER_API_KEY=your_key
💻 Usage
Run the crew using the CrewAI CLI:

Bash
crewai run
When prompted:

Plaintext
Enter the topic for stock analysis: Tesla
The agents will execute their tasks and write the final output to report.md.

📁 Project Structure
Plaintext
├── config/
│   ├── agents.yaml      # Agent roles, goals, and backstories
│   └── tasks.yaml       # Task descriptions and expected outputs
├── src/
│   └── financial_stock_analyst/
│       ├── __init__.py
│       ├── crew.py      # Crew definition and agent orchestration
│       └── main.py      # Entry point and CLI input handling
├── .env.example
├── .gitignore
├── pyproject.toml
├── README.md
└── report.md            # Generated analysis report
📄 Sample Output
Here is a snippet from a generated analysis on Tesla (TSLA):

Tesla Future Trends Report: Anticipated Developments
Full Self-Driving (FSD) Advancements: Progress toward Level 4/5 autonomy and regulatory integration.

Gigafactory Network Expansion: Scaling production lines across regional hubs.

Energy Products Growth: Grid-scale battery storage and solar market penetration.

🤝 Contributing
Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

📝 License
Distributed under the MIT License. See LICENSE for more information.


---

### How to add it to your project:

1. Open your project folder in VS Code.
2. Create a new file named `README.md` in the root directory.
3. Paste the markdown content above and save the file (`Ctrl + S`).
4. Commit and push it to GitHub:
   ```bash
   git add README.md
   git commit -m "Add comprehensive project README"
   git push origin main

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T18:50:23.516Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Binarylaiba",
    "href": "https://github.com/binarylaiba/Financial-stock-analyst-crew",
    "sourceUrl": "https://github.com/binarylaiba/Financial-stock-analyst-crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T15:16:49.574Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T15:16:49.574Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-binarylaiba-financial-stock-analyst-crew/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]