Xpersona

Crawler Summary

CrewAI_For_Stock_Prices_Visualization answer-first brief

Multi-agent CrewAI pipeline that fetches stock data via yfinance, plots price charts, and generates an investment report using web search. 📈 CrewAI Stock Prices Visualization - Multi-Agent Financial Analysis $1 $1 $1 $1 $1 $1 **CrewAI Stock Prices Visualization** is a multi-agent AI system built with **CrewAI** that fetches historical stock price data with **yfinance**, plots closing-price charts with **Matplotlib**, enriches the analysis with recent news via **SerperDev**, and produces a full executive investment report in Markdown. --- ✨ Key Features Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

CrewAI_For_Stock_Prices_Visualization 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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

CrewAI_For_Stock_Prices_Visualization

Multi-agent CrewAI pipeline that fetches stock data via yfinance, plots price charts, and generates an investment report using web search. 📈 CrewAI Stock Prices Visualization - Multi-Agent Financial Analysis $1 $1 $1 $1 $1 $1 **CrewAI Stock Prices Visualization** is a multi-agent AI system built with **CrewAI** that fetches historical stock price data with **yfinance**, plots closing-price charts with **Matplotlib**, enriches the analysis with recent news via **SerperDev**, and produces a full executive investment report in Markdown. --- ✨ Key Features

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

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

Marwanabdellah

Artifacts

0

Benchmarks

0

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Unpublished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. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 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

Marwanabdellah

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

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

0

Examples

6

Snippets

0

Languages

python

Executable Examples

mermaid

graph TD
    A[User input: stock / ticker + date range] --> B[Finder Agent]
    B --> C[Analyst Agent]
    C --> D[YFinanceSearchTool]
    D --> E[Closing prices JSON + stock_chart.png]
    E --> F[Reporter Agent]
    F --> G[SerperDevTool - recent news]
    G --> H[Final report: report.md]

bash

git clone https://github.com/MarwanAbdellah/CrewAI_For_Stock_Prices_Visualization.git
cd CrewAI_For_Stock_Prices_Visualization/stock_prices_visualization

bash

python -m venv .venv
.venv\Scripts\activate        # Windows
source .venv/bin/activate     # macOS / Linux

pip install crewai yfinance matplotlib crewai_tools python-dotenv

env

MODEL=gemini-2.0-flash
GEMINI_API_KEY=your_gemini_api_key
SERPER_API_KEY=your_serper_api_key

bash

crewai run

text

CrewAI_For_Stock_Prices_Visualization/
└── stock_prices_visualization/
    ├── pyproject.toml                         # Project dependencies (uv)
    ├── uv.lock                                # Locked dependency versions
    ├── knowledge/
    │   └── user_preference.txt                # Optional crew knowledge
    └── src/stock_prices_visualization/
        ├── crew.py                            # Crew, agents, and tasks wiring
        ├── main.py                            # Entry point (run/train/replay/test)
        ├── test.ipynb                         # yfinance exploration notebook
        ├── config/
        │   ├── agents.yaml                    # Finder / Analyst / Reporter roles
        │   └── tasks.yaml                     # Task descriptions & outputs
        └── tools/
            ├── custom_tool.py                 # YFinanceSearchTool
            └── __init__.py

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Multi-agent CrewAI pipeline that fetches stock data via yfinance, plots price charts, and generates an investment report using web search. 📈 CrewAI Stock Prices Visualization - Multi-Agent Financial Analysis $1 $1 $1 $1 $1 $1 **CrewAI Stock Prices Visualization** is a multi-agent AI system built with **CrewAI** that fetches historical stock price data with **yfinance**, plots closing-price charts with **Matplotlib**, enriches the analysis with recent news via **SerperDev**, and produces a full executive investment report in Markdown. --- ✨ Key Features

Full README

📈 CrewAI Stock Prices Visualization - Multi-Agent Financial Analysis

Python CrewAI yfinance Matplotlib SerperDev License: MIT

CrewAI Stock Prices Visualization is a multi-agent AI system built with CrewAI that fetches historical stock price data with yfinance, plots closing-price charts with Matplotlib, enriches the analysis with recent news via SerperDev, and produces a full executive investment report in Markdown.

✨ Key Features

🎯 1. Multi-Agent Crew Pipeline

  • A sequential crew of three specialized agents: Finder (validates ticker & date range), Analyst (fetches data + generates the chart), and Reporter (enriches with news and composes the final brief).
  • Agents and tasks are fully configured in agents.yaml and tasks.yaml.

📊 2. Custom YFinance Search Tool

  • The YFinanceSearchTool fetches historical closing prices from Yahoo Finance for a given ticker and date range.
  • Returns closing prices as JSON and renders a stock_chart.png price-over-time plot.

🌐 3. Live Web Search Integration

  • The reporter agent uses SerperDevTool to pull recent news and company information.
  • Adds real-world context and sector comparisons to the final report.

📝 4. Executive Report Generation

  • Produces a structured Markdown report (report.md) with analysis, investment recommendation, comparisons to famous stocks in the same sector, and the embedded stock_chart.png.

⚙️ 5. Gemini-Powered Reasoning

  • All agents run on a Gemini LLM (configured via MODEL + GEMINI_API_KEY in .env) with temperature 0.0 for consistent, deterministic analysis.

🏗️ System Architecture

graph TD
    A[User input: stock / ticker + date range] --> B[Finder Agent]
    B --> C[Analyst Agent]
    C --> D[YFinanceSearchTool]
    D --> E[Closing prices JSON + stock_chart.png]
    E --> F[Reporter Agent]
    F --> G[SerperDevTool - recent news]
    G --> H[Final report: report.md]

🛠️ Technology Stack

Backend / Core

  • Agent Framework: CrewAI [tools]>=0.157.0,<1.0.0 and crewai-tools>=0.69.0.
  • LLM: Gemini via LLM(model=MODEL, api_key=GEMINI_API_KEY, temperature=0.0).

Data & Processing

  • Financial Data: yfinance>=0.2.65 for historical stock prices.
  • Charting: matplotlib>=3.10.6 for price plots.

Tools / Interface

  • Custom Tool: YFinanceSearchTool (BaseTool) for stock data + chart.
  • Search: SerperDevTool for live web/company information.
  • Config: YAML files (agents.yaml, tasks.yaml), python-dotenv.

🚀 Getting Started

Prerequisites

  • Python 3.10 - 3.13
  • CrewAI and project dependencies
  • Gemini API key and SerperDev API key

1. Repository Setup

git clone https://github.com/MarwanAbdellah/CrewAI_For_Stock_Prices_Visualization.git
cd CrewAI_For_Stock_Prices_Visualization/stock_prices_visualization

2. Install Dependencies

python -m venv .venv
.venv\Scripts\activate        # Windows
source .venv/bin/activate     # macOS / Linux

pip install crewai yfinance matplotlib crewai_tools python-dotenv

3. Configure Environment

Create a .env file in the project root:

MODEL=gemini-2.0-flash
GEMINI_API_KEY=your_gemini_api_key
SERPER_API_KEY=your_serper_api_key

4. Run

crewai run

You will be prompted for a stock (ticker or company name), start date, and end date. The workflow runs through the finder → analyst → reporter agents, and saves the output to report.md along with the chart image stock_chart.png.

🧪 Testing & Verification

There are no automated unit tests in this repository. To verify the workflow:

  1. Run crewai run and provide a valid ticker (e.g., AAPL) with a date range.
  2. Confirm a stock_chart.png plot and a JSON of closing prices are produced.
  3. Check report.md for the enriched analysis, sector comparisons, and investment recommendation.

📁 Project Structure

CrewAI_For_Stock_Prices_Visualization/
└── stock_prices_visualization/
    ├── pyproject.toml                         # Project dependencies (uv)
    ├── uv.lock                                # Locked dependency versions
    ├── knowledge/
    │   └── user_preference.txt                # Optional crew knowledge
    └── src/stock_prices_visualization/
        ├── crew.py                            # Crew, agents, and tasks wiring
        ├── main.py                            # Entry point (run/train/replay/test)
        ├── test.ipynb                         # yfinance exploration notebook
        ├── config/
        │   ├── agents.yaml                    # Finder / Analyst / Reporter roles
        │   └── tasks.yaml                     # Task descriptions & outputs
        └── tools/
            ├── custom_tool.py                 # YFinanceSearchTool
            └── __init__.py

👤 Author

Marwan Abdellah

📄 License

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

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

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-marwanabdellah-crewai-for-stock-prices-visualization/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/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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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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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-marwanabdellah-crewai-for-stock-prices-visualization/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T22:05:21.196Z"
    }
  },
  "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": "Marwanabdellah",
    "href": "https://github.com/MarwanAbdellah/CrewAI_For_Stock_Prices_Visualization",
    "sourceUrl": "https://github.com/MarwanAbdellah/CrewAI_For_Stock_Prices_Visualization",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:45.755Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T03:20:45.755Z",
    "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-marwanabdellah-crewai-for-stock-prices-visualization/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-marwanabdellah-crewai-for-stock-prices-visualization/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
  }
]

Sponsored

Ads related to CrewAI_For_Stock_Prices_Visualization and adjacent AI workflows.