How should Multiagent_Trading_Analyst 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 OPENCLEWSafety 66/100

Xpersona Agent

Multiagent_Trading_Analyst

Multi-agent system built using CrewAI that analyzes stock data and generates trading decisions using real-time market information. 💹 Multi-Agent Stock Trading System (CrewAI) A simple multi-agent system built using **CrewAI** that analyzes stock data and generates trading decisions using real-time market information. --- 🚀 Overview This project simulates a **collaborative AI trading workflow** using two specialized agents: * **📊 Analyst Agent** → Gathers and interprets live stock data * **📈 Trader Agent** → Makes Buy/Sell/Hold decisions base

OpenClaw · self-declared

Trust evidence available

View Source

git clone https://github.com/saamm/Multiagent_Trading_Analyst.git

Overall rank

#20

Adoption

No public adoption signal

Trust

Unknown

Freshness

May 31, 2026

Freshness

Last checked May 31, 2026

Best For

Multiagent_Trading_Analyst 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 OPENCLEW, 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 signals

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Saamm

Artifacts

Benchmarks

Last release

Unpublished

Install & run

Setup Snapshot

git clone https://github.com/saamm/Multiagent_Trading_Analyst.git

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

Saamm

profilemedium

Observed May 31, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed May 31, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Events

Release & Crawl Timeline

Artifacts & Docs

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

Self-declaredGITHUB OPENCLEW

Captured outputs

Artifacts Archive

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

Crew_AI_multi_agents/
│
├── agents/
│   ├── analyst_agent.py
│   └── trader_agent.py
│
├── tasks/
│   ├── analyse_task.py
│   └── trader_task.py
│
├── tools/
│   └── stock_research_tool.py
│
├── crew.py
├── main.py
├── requirements.txt
└── .env

bash

git clone <your-repo-url>
cd Crew_AI_multi_agents

bash

py -3.12 -m venv venv
.\venv\Scripts\activate

bash

pip install -r requirements.txt

text

GROQ_API_KEY=your_api_key_here

bash

python main.py

Editorial read

Docs & README

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Full README

💹 Multi-Agent Stock Trading System (CrewAI)

A simple multi-agent system built using CrewAI that analyzes stock data and generates trading decisions using real-time market information.

🚀 Overview

This project simulates a collaborative AI trading workflow using two specialized agents:

📊 Analyst Agent → Gathers and interprets live stock data
📈 Trader Agent → Makes Buy/Sell/Hold decisions based on analysis

The system uses real-time stock data via Yahoo Finance and processes it through a structured agent pipeline.

🧠 How It Works

User provides a stock name (e.g., TSLA)
The Analyst Agent:
- Fetches live stock data (price, change, volume, etc.)
- Summarizes key insights
The Trader Agent:
- Uses the analysis
- Outputs a trading decision:
  - ✅ Buy
  - ❌ Sell
  - 🤝 Hold

🧩 Tech Stack

CrewAI → Multi-agent orchestration
LiteLLM / Groq → LLM backend
yfinance → Real-time stock data
Python → Core implementation

🏗️ Project Structure

Crew_AI_multi_agents/
│
├── agents/
│   ├── analyst_agent.py
│   └── trader_agent.py
│
├── tasks/
│   ├── analyse_task.py
│   └── trader_task.py
│
├── tools/
│   └── stock_research_tool.py
│
├── crew.py
├── main.py
├── requirements.txt
└── .env

🔧 Features

Multi-agent collaboration using CrewAI
Real-time stock data via Yahoo Finance (yfinance)
Modular architecture (agents, tasks, tools separation)
Extensible for more financial indicators or strategies

📦 Installation

1. Clone the repository

git clone <your-repo-url>
cd Crew_AI_multi_agents

2. Create virtual environment (Python 3.12 recommended)

py -3.12 -m venv venv
.\venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

🔑 Environment Variables

Create a .env file:

GROQ_API_KEY=your_api_key_here

▶️ Usage

Run the system:

python main.py

Default example (to be input inside main.py):

run("TESLA")

🧪 Example Output

Stock: TSLA
Price: 245.32 USD
Change: +3.45 (1.43%)

Recommendation: BUY
Reason:
- Strong upward momentum
- Positive daily change
- High trading volume

📌 Future Improvements

Add technical indicators (RSI, MACD, moving averages)
Introduce risk management agent
Backtesting on historical data
Multi-stock portfolio optimization
Add memory between agents

📄 License

This project is for educational and experimental purposes.

API & Reliability

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

MissingGITHUB OPENCLEW

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-saamm-multiagent-trading-analyst/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/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 OPENCLEW

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-saamm-multiagent-trading-analyst/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T22:19:27.667Z"
    }
  },
  "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": "Saamm",
    "category": "vendor",
    "href": "https://github.com/saamm/Multiagent_Trading_Analyst",
    "sourceUrl": "https://github.com/saamm/Multiagent_Trading_Analyst",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:45.271Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:45.271Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-saamm-multiagent-trading-analyst/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

Overview

Executive Summary

Setup Snapshot

Evidence & Timeline

Evidence Ledger

Release & Crawl Timeline

Artifacts & Docs

Artifacts Archive

Docs & README

💹 Multi-Agent Stock Trading System (CrewAI)

🚀 Overview

🧠 How It Works

🧩 Tech Stack

🏗️ Project Structure

🔧 Features

📦 Installation

1. Clone the repository

2. Create virtual environment (Python 3.12 recommended)

3. Install dependencies

🔑 Environment Variables

▶️ Usage

🧪 Example Output

📌 Future Improvements

📄 License

API & Reliability

Contract & API

Reliability & Benchmarks

Media & Related

Media & Demo

Related Agents

Machine Appendix