AI Trading Claude

REVIEW · 72

Community indexed

AI trading research engine for Claude Code. Analyze stocks (technical, fundamental, sentiment, risk, thesis), options strategies, sector rotation, portfolio analysis, and PDF reports. 16 skills, 5 parallel agents. Research tool only — not financial advice.

Downloads0

Stars170

Version1.0.0

Quality73/100 · Strong

Trust72/100 · Sandbox only

Audit82/100 · Safe to try

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add zubair-trabzada/ai-trading-claude

Maintenance

active

3mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

170

73/100 quality · 80/100 trust

Coverage tags

CodingCoding agentsdevelopmentclaude-codedeveloper-tools

Review notes

Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Safe to try

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonClaude CodeCodexCursorOpenAgentSkill CLI

Stars

170 GitHub stars

Repo activity

170 stars, 96 forks

Maintenance

3mo since push

License

MIT

Install

npx skills add zubair-trabzada/ai-trading-claude

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

Quality score needs review

Install readiness

Install path available

Install path is available
Repository evidence is available
License is declared
No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

Finance and quant workflows
Claude Code teams
builders willing to evaluate younger projects
Retrieve market data

Suited agents

PythonClaude CodeCodexCursorOpenAgentSkill CLICLI

Install decision

Command: npx skills add zubair-trabzada/ai-trading-claude
Policy: review
Human review: yes

Trust and risk

Trust: 72/100
Audit: 82/100
Risk level: Safe to try

Outcome loop

Endpoint: /api/agent/outcome
Event ID: resolve
Outcomes: 5

Install command

npx skills add zubair-trabzada/ai-trading-claude

Public audit Eval report Resolve API Install handoff

Do not use when

teams that need a vendor-supported SLA
high-compliance environments without internal security review
No OpenAgentSkill engagement data yet
Quality score needs review
Production credentials, payments, or irreversible account changes without explicit human review

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Agent safety v2

66/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Quality score needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add zubair-trabzada/ai-trading-claude

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20AI%20Trading%20Claude%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20AI%20Trading%20Claude%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/zubair-trabzada-ai-trading-claude/install

Agent should check

Task fit and alternatives from Resolve API.
Audit score, trust score, and safety policy warnings.
Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use AI Trading Claude in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AI%20Trading%20Claude%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zubair-trabzada-ai-trading-claude/install
Install command: npx skills add zubair-trabzada/ai-trading-claude
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/zubair-trabzada-ai-trading-claude/install

LLM text format

/api/skills/zubair-trabzada-ai-trading-claude/install?format=text

Find alternatives

/api/skills/search?q=AI%20Trading%20Claude&limit=3

Agent prompt

Use AI Trading Claude for this task. Review https://www.openagentskill.com/api/skills/zubair-trabzada-ai-trading-claude/install, then install with: npx skills add zubair-trabzada/ai-trading-claude

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/zubair-trabzada-ai-trading-claude

LLM text

/api/registry/manifest/zubair-trabzada-ai-trading-claude?format=text

Install alias

/api/registry/install/zubair-trabzada-ai-trading-claude

Recommend

/api/registry/recommend?task=Use%20AI%20Trading%20Claude%20in%20an%20agent%20workflow&limit=3

Agent fit

72/100

Finance and quant

Use-case tags

Finance and quant RAG and knowledge Research agents

Platforms

Python, Claude Code

Audit report

Safe to try · 82/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report View eval report

Agent decision cockpit

Companion skill for Finance and quant

Shortlist this skill and compare it with close alternatives before production adoption.

Readiness

Shortlist

Stage

Role in stack

Companion skill

Primary fit

Finance and quant

Trust label

Strong shortlist

Install path

Command ready

Use when

Finance and quant workflows
Claude Code teams
builders willing to evaluate younger projects

Evidence

recent repository activity
install command or GitHub repo available
73/100 quality profile

Review first

No OpenAgentSkill engagement data yet

Implementation path

1Install it in a sandbox agent and run one Finance and quant task end to end.
2Compare output quality, latency, and failure behavior against at least one alternative.
3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Trust score

GitHub adoption

INFO

170 GitHub stars

Stars/forks activity

INFO

170 stars, 96 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

3mo since push

License clarity

PASS

MIT

Good signals

AI review approved
Install path is available
Repository evidence is available
Recently maintained repository
Install command has no obvious high-risk pattern
Outcome loop is ready but needs first real agent run

Review before install

Quality score needs review
No real agent outcome reports yet
Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

GitHub stars

170

Freshness

3mo ago

Install ready

Yes

License

MIT

Workflow fit

Use this skill in these scenarios

Analyze markets

Finance and quant

I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Find, compare, and synthesize

Research report agent

A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

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Caveman

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Overview

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL

claude-codeFULL

Technical Details

Version: 1.0.0
License: MIT
Last Updated: 6/21/2026
Published: 6/21/2026

Frameworks & Tools

PythonClaude Code

Decision snapshot

Companion skill

Ready

Shortlist

Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

Safe to try

Security: 88/100
Maintenance: 88/100
Install: 92/100

Open full audit Open eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

Proven

Needs first agent runAuto-install: review firstLast: Unknown

Success rate: —
Recent failure: —
Outcomes: 0
Output quality: —
Failed: 0
Not relevant: 0
Installs: 0
Risk blocked: 0
Setup needed: 0
Production: 0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven ranking Outcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare Alternatives Auto-resolve Plan View on GitHub Documentation

Growth loop

Share kit

Scenario-led draft for AI Trading Claude, ready for a manual X post.

Curator note

Finance agents don't need louder takes. They need sources, data, and a repeatable research path.

AI Trading Claude helps turn market noise into source-backed analysis an agent...

170 stars

https://www.openagentskill.com/skills/zubair-trabzada-ai-trading-claude?ref=x
#AIAgents

Open X draft

Optional reply with install command

Listing + install path for AI Trading Claude:
https://www.openagentskill.com/skills/zubair-trabzada-ai-trading-claude?ref=x

Install: npx skills add zubair-trabzada/ai-trading-claude

Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator: zubair-trabzada
Source: zubair-trabzada/ai-trading-claude
Indexed by: OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to zubair-trabzada but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/zubair-trabzada-ai-trading-claude)](https://www.openagentskill.com/skills/zubair-trabzada-ai-trading-claude)

Preview badge Audit badge

Author

zubair-trabzada

@zubair-trabzada

Platform Fit

Claude Code

Health Signals

GitHub stars: 170
Quality score: 46/100
Last GitHub push: Apr 7, 2026
Framework hints: 2
OpenAgentSkill views: 0
Install copies: 0
Outbound clicks: 0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Sandbox only

GitHub adoption170 GitHub starsINFO
Stars/forks activity170 stars, 96 forks; issue activity unavailable in current metadataINFO
Recent maintenance3mo since pushPASS
License clarityMITPASS
README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
Dependency/runtime riskno major dependency risk hints in public metadataPASS

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AI Trading Claude

Coding and developer agents

Trust, audit, and install readiness at a glance

Human review before install

Review before production

Install path available

Machine-readable decision data for this skill.

Gemini CLI

System Prompts And Models Of AI Tools

Caveman

Antigravity Awesome Skills

66/100 · Review before install

Network access

Filesystem access

Install this skill in your agent workflow

OpenAgentSkill CLI

Let an agent verify fit before installing.

Give an agent the install path, not another directory page.

Agent-readable profile for automatic skill selection.

Safe to try · 82/100

Companion skill for Finance and quant

Sandbox only

Strong candidate for agent workflows

Use this skill in these scenarios

Finance and quant

RAG and knowledge

Research agents

Add it to a complete workflow

RAG knowledge base

Research report agent

Coding review agent

Compare before you install

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Overview

Platform Compatibility

Technical Details

Companion skill

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Agent Proven evidence

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Share kit

Community indexed

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README badge

Author

Tags

Platform Fit

Health Signals

Community Signal

Trust & Safety

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