How should Agentic-AI-Stock-Analysis-Crew be evaluated before use?

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

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.

Claim this agent

Agent DossierGITHUB REPOSSafety 75/100

Xpersona Agent

Agentic-AI-Stock-Analysis-Crew

Exploring CrewAI capabilities by building a basic stock analysis app. Agentic Stock Analysis System This is an exploratory project to get familiar with CrewAI, an orchestration framework for agentic AI. It is built in pure python with a Streamlit frontend. The idea is to provide a free, intelligent stock analysis platform powered by a team of AI agents specializing in different aspects of market analysis. Investing should be accessible to everyone. (This tool is for informational purpo

OpenClaw · self-declared

19 GitHub starsTrust evidence available

View Source

Overall rank

#28

Adoption

19 GitHub stars

Trust

Unknown

Freshness

Feb 25, 2026

Freshness

Last checked Feb 25, 2026

Best For

Agentic-AI-Stock-Analysis-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

Overview Evidence & Timeline Artifacts & Docs API & Reliability Media & Related Machine Appendix

Overview

Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.

Verifiededitorial-content

Overview

Executive Summary

No verified compatibility signals19 GitHub stars

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Ebrown 32

Artifacts

Benchmarks

Last release

Unpublished

Install & run

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 & Timeline

Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.

Verifiededitorial-content

Public facts

Evidence Ledger

Vendor (1)

Vendor

Ebrown 32

profilemedium

Observed Apr 15, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Apr 15, 2026Source link Provenance

Adoption (1)

Adoption signal

19 GitHub stars

profilemedium

Observed Apr 15, 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

Events

Release & Crawl Timeline

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 & Docs

Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.

Self-declaredGITHUB REPOS

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Editorial read

Docs & README

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

Agentic Stock Analysis System

analyze-stock-example

This is an exploratory project to get familiar with CrewAI, an orchestration framework for agentic AI. It is built in pure python with a Streamlit frontend. The idea is to provide a free, intelligent stock analysis platform powered by a team of AI agents specializing in different aspects of market analysis. Investing should be accessible to everyone. (This tool is for informational purposes only. Always conduct your own research and consult with financial advisors before making investment decisions. Feel free to extend this tool to your own needs.)

graph TD
    subgraph Agents
        MIO[Market Intelligence Officer]
        TAS[Technical Analysis Specialist]
        FAE[Fundamental Analysis Expert]
        RMS[Risk Management Specialist]
        PSE[Portfolio Strategy Expert]
    end

    subgraph Tools
        ST[Search Tool]
        SDT[Stock Data Tool]
        FMT[Financial Metrics Tool]
    end

    subgraph Data Flow
        MIO --> |Market Research| PSE
        TAS --> |Technical Analysis| PSE
        FAE --> |Fundamental Analysis| PSE
        RMS --> |Risk Assessment| PSE
        PSE --> |Final Strategy|Output
    end

    MIO --> ST
    MIO --> SDT
    TAS --> SDT
    FAE --> SDT
    FAE --> FMT
    RMS --> SDT
    RMS --> FMT
    PSE --> SDT

Features

Core Analysis

Multi-Agent System: Five specialized agents working in concert:
- Market Intelligence Officer: Market research and competitive analysis
- Technical Analysis Specialist: Price patterns and technical indicators
- Fundamental Analysis Expert: Financial statements and valuation
- Risk Management Specialist: Risk assessment and mitigation
- Portfolio Strategy Expert: Final investment recommendations

Technical Capabilities

Real-time Progress Updates: Live feedback from agents during analysis
Retry Mechanism: Automatic retry for API calls with exponential backoff
Error Handling: Comprehensive error management across all operations
Data Visualization: Interactive charts and metrics display
Responsive Dashboard: Modern, user-friendly interface

Analysis Components

Market Research: Industry position, competitive advantages, and market trends
Technical Analysis: Multi-timeframe analysis, support/resistance levels, and indicators
Fundamental Analysis: Financial statements, valuation methods, and growth metrics
Risk Assessment: Volatility analysis, VaR calculations, and stress testing
Investment Strategy: Position sizing, entry/exit points, and portfolio context

Dashboard Features

Interactive Charts:
- Candlestick charts with volume analysis
- Technical indicators (RSI, MACD)
- Moving averages
Financial Metrics:
- Profitability ratios
- Valuation metrics
- Growth indicators
Risk Metrics:
- Volatility analysis
- Value at Risk (VaR)
- Sharpe Ratio
- Risk level assessment
Educational Resources:
- Investment terms glossary
- Technical analysis explanations
- Financial metrics definitions

Installation

Clone the repository:

git clone https://github.com/yourusername/agentic-stock-analysis.git
cd agentic-stock-analysis

Install dependencies:

pip install -r requirements.txt

Set up environment variables:

cp .env.example .env
# Edit .env with your API keys

Usage

Run the dashboard:

streamlit run dashboard.py

Enter a stock ticker and click "Analyze Stock" to receive:

Market data visualization
Technical analysis
Fundamental analysis
Investment recommendations

Project Structure

stock-analyst-ai/
├── market_analysis_crew.py  # AI agent implementation
├── dashboard.py            # Streamlit interface
├── requirements.txt       # Dependencies
└── .env                  # Configuration

Quick Start

1. Installation

git clone <repository>
cd Agentic-AI-Stock-Analysis-Crew
pip install -r requirements.txt

2. Configuration

Copy the example environment file and add your API keys:

cp .env.example .env

Edit .env with your API keys (you only need one):

# Choose one or more providers:
OPENAI_API_KEY=your_openai_api_key_here        # $5 free credits
ANTHROPIC_API_KEY=your_anthropic_api_key_here  # Free tier available  
GEMINI_API_KEY=your_gemini_api_key_here        # Free API key
# Or use local Ollama (completely free)

3. Run the Application

streamlit run dashboard.py

Supported AI Models

The app supports multiple AI providers for different budgets and preferences:

| Provider | Models | Cost | Free Option | Setup Link | |----------|--------|------|-------------|------------| | OpenAI | GPT-4o, GPT-4, GPT-3.5-turbo | $0.01-$0.06/1K tokens | $5 free credits | Get API Key | | Anthropic | Claude 3.5 Sonnet, Claude 3 Haiku | $0.25-$3.00/1K tokens | Free tier | Get API Key | | Google | Gemini 1.5 Pro, Gemini 1.5 Flash | $0.075-$7.00/1K tokens | Free API key | Get API Key | | Ollama | Llama 3.2, Mistral, CodeLlama | Free | Always free | Download Ollama |

Dependencies

crewai (https://docs.crewai.com/introduction)
streamlit (https://streamlit.io/)
yfinance (https://pypi.org/project/yfinance/)
plotly (https://plotly.com/)
pandas (https://pandas.pydata.org/)
python-dotenv (https://pypi.org/project/python-dotenv/)

Contributing

This is a work in progress, and contributions are welcome! Please feel free to submit issues and pull requests.

License

MIT License

Disclaimer

This tool is for informational purposes only. Always conduct your own research and consult with financial advisors before making investment decisions.

API & Reliability

Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Machine interfaces

Contract & API

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-ebrown-32-agentic-ai-stock-analysis-crew/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/trust"

Operational fit

Reliability & Benchmarks

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.

Machine Appendix

Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.

MissingGITHUB REPOS

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-ebrown-32-agentic-ai-stock-analysis-crew/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-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": "2026-10-09T03:39:32.915Z"
    }
  },
  "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",
    "label": "Vendor",
    "value": "Ebrown 32",
    "category": "vendor",
    "href": "https://github.com/ebrown-32/Agentic-AI-Stock-Analysis-Crew",
    "sourceUrl": "https://github.com/ebrown-32/Agentic-AI-Stock-Analysis-Crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "traction",
    "label": "Adoption signal",
    "value": "19 GitHub stars",
    "category": "adoption",
    "href": "https://github.com/ebrown-32/Agentic-AI-Stock-Analysis-Crew",
    "sourceUrl": "https://github.com/ebrown-32/Agentic-AI-Stock-Analysis-Crew",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:21:22.124Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "docs_crawl",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "category": "integration",
    "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,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-ebrown-32-agentic-ai-stock-analysis-crew/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

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,
    "metadata": {}
  }
]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

Agentic Stock Analysis System

Features

Core Analysis

Technical Capabilities

Analysis Components

Dashboard Features

Installation

Usage

Project Structure

Quick Start

1. Installation

2. Configuration

3. Run the Application

Supported AI Models

Dependencies

Contributing

License

Disclaimer

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

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cherry-studio

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Machine Appendix