[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-2295":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":23,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":27,"readmeContent":28,"aiSummary":29,"trendingCount":16,"starSnapshotCount":16,"syncStatus":30,"lastSyncTime":31,"discoverSource":32},2295,"ai-trading-claude","zubair-trabzada\u002Fai-trading-claude","zubair-trabzada","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.","https:\u002F\u002Fwww.skool.com\u002Faiworkshop",null,"Python",160,92,4,1,0,6,12,58,18,69.71,"MIT License",false,"main",true,[],"2026-06-12 04:00:14","\u003Cp align=\"center\">\n  \u003Cimg src=\".github\u002Fbanner.svg\" alt=\"AI Trading Analyst for Claude Code\" width=\"900\"\u002F>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Cstrong>AI Trading Analyst for Claude Code.\u003C\u002Fstrong> Run full stock analyses with 5 parallel agents, build investment theses,\u003Cbr\u002F>\n  assess risk, screen for opportunities, analyze options, and produce professional PDF reports — 16 skills, 5 agents, one command.\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg\" alt=\"License: MIT\"\u002F>\u003C\u002Fa>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FSkills-16-blue\" alt=\"16 Skills\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FAgents-5-orange\" alt=\"5 Agents\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FOptions-Analysis-green\" alt=\"Options Analysis\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPython-3.8+-blue\" alt=\"Python 3.8+\"\u002F>\n  \u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FPDF-Reports-red\" alt=\"PDF Reports\"\u002F>\n\u003C\u002Fp>\n\n---\n\n> **WARNING: This tool is for educational and research purposes only. It is NOT financial advice. It does NOT execute trades. It does NOT manage money. Always do your own due diligence and consult a licensed financial advisor before making investment decisions.**\n\n---\n\n## Quick Start\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fzubair-trabzada\u002Fai-trading-claude\u002Fmain\u002Finstall.sh | bash\n```\n\nThat's it. One command installs all 16 skills, 5 agents, and the PDF generation scripts.\n\n---\n\n## What Is This?\n\nAI Trading Analyst is a **research and analysis tool** built as Claude Code skills. It is **not** a trading bot. It does **not** connect to brokerages. It does **not** execute trades.\n\nWhat it does: takes a ticker symbol and runs a comprehensive multi-dimensional analysis using 5 parallel AI agents — technical, fundamental, sentiment, risk, and thesis — then produces a composite Trade Score (0-100) with a clear signal (Strong Buy \u002F Buy \u002F Hold \u002F Caution \u002F Avoid).\n\nRun `\u002Ftrade analyze AAPL` and 5 AI agents launch in parallel to produce a complete investment research report.\n\nNo API keys. No brokerage accounts. No financial data subscriptions. Just Claude Code.\n\n---\n\n## Architecture\n\n```\n                         \u002Ftrade analyze \u003Cticker>\n                                 |\n                   ┌─────────────┼─────────────┐\n                   |             |             |\n             ┌─────┴──────┐ ┌───┴─────┐ ┌─────┴──────┐\n             | trade-      | | trade-  | | trade-     |\n             | technical   | | funda-  | | sentiment  |\n             | agent       | | mental  | | agent      |\n             | (price,     | | agent   | | (news,     |\n             |  patterns,  | | (value, | |  social,   |\n             |  indicators)| |  growth)| |  analysts) |\n             └─────────────┘ └────────┘ └────────────┘\n                   |             |             |\n             ┌─────┴──────┐ ┌───┴─────┐\n             | trade-risk  | | trade-  |\n             | agent       | | thesis  |\n             | (volatility,| | agent   |\n             |  sizing,    | | (bull\u002F  |\n             |  drawdown)  | |  bear,  |\n             |             | |  entry) |\n             └─────────────┘ └────────┘\n                   |             |             |\n                   └─────────────┼─────────────┘\n                                 |\n                   ┌─────────────┴─────────────┐\n                   |   Composite Trade Score    |\n                   |   (0-100) + Grade + Signal |\n                   |   + PDF Investment Report  |\n                   └───────────────────────────┘\n```\n\n---\n\n## All 16 Commands\n\n### Analysis & Research\n\n| Command | What It Does |\n|---------|-------------|\n| `\u002Ftrade analyze \u003Cticker>` | **Flagship** — Full stock analysis with 5 parallel agents. Returns Trade Score (0-100), technical levels, fundamental metrics, sentiment reading, risk profile, investment thesis, and entry\u002Fexit plan. |\n| `\u002Ftrade quick \u003Cticker>` | 60-second stock snapshot — price, trend, key metrics, signal. No subagents. |\n| `\u002Ftrade technical \u003Cticker>` | Technical analysis — price action, chart patterns, indicators, support\u002Fresistance levels. |\n| `\u002Ftrade fundamental \u003Cticker>` | Fundamental analysis — financials, valuation metrics, competitive moat, growth trajectory. |\n| `\u002Ftrade sentiment \u003Cticker>` | News and social sentiment — analyst ratings, insider activity, social buzz, news tone. |\n| `\u002Ftrade sector \u003Csector>` | Sector rotation and momentum — relative strength, fund flows, top\u002Fbottom performers. |\n\n### Thesis & Strategy\n\n| Command | What It Does |\n|---------|-------------|\n| `\u002Ftrade thesis \u003Cticker>` | Complete investment thesis — bull\u002Fbear cases, catalysts, entry\u002Fexit strategy with price levels. |\n| `\u002Ftrade compare \u003Ct1> \u003Ct2>` | Head-to-head stock comparison across all dimensions with a winner recommendation. |\n| `\u002Ftrade options \u003Cticker>` | Options strategy recommendations — covered calls, spreads, protective puts based on outlook. |\n| `\u002Ftrade earnings \u003Cticker>` | Pre-earnings analysis — expected move, historical reactions, positioning strategy. |\n\n### Portfolio & Risk\n\n| Command | What It Does |\n|---------|-------------|\n| `\u002Ftrade portfolio` | Portfolio analysis — correlation matrix, sector exposure, rebalancing recommendations. |\n| `\u002Ftrade risk \u003Cticker>` | Risk assessment — position sizing, max drawdown, scenario analysis, risk\u002Freward ratio. |\n| `\u002Ftrade screen \u003Ccriteria>` | Stock screener — filter by strategy (momentum, value, dividend, growth, etc.). |\n| `\u002Ftrade watchlist` | Build and update a scored watchlist with ranked opportunities. |\n\n### Reporting\n\n| Command | What It Does |\n|---------|-------------|\n| `\u002Ftrade report-pdf` | Professional 6-page PDF investment report with score gauges, charts, and thesis. |\n\n---\n\n## Scoring Methodology\n\nThe **Trade Score** (0-100) is a weighted composite of 5 dimensions:\n\n| Category | Weight | What It Measures |\n|----------|--------|------------------|\n| Technical Strength | 25% | Trend, momentum, volume, pattern quality, support\u002Fresistance |\n| Fundamental Quality | 25% | Valuation, growth, profitability, balance sheet, moat |\n| Sentiment & Momentum | 20% | News tone, social buzz, analyst consensus, insider signals |\n| Risk Profile | 15% | Volatility, drawdown potential, correlation, liquidity |\n| Thesis Conviction | 15% | Catalyst clarity, timeline, asymmetry, edge identification |\n\n### Grade & Signal Interpretation\n\n| Score | Grade | Signal | Meaning |\n|-------|-------|--------|---------|\n| 85-100 | A+ | Strong Buy | High conviction across all dimensions |\n| 70-84 | A | Buy | Favorable setup with manageable risks |\n| 55-69 | B | Hold | Mixed signals, wait for confirmation |\n| 40-54 | C | Caution | No clear edge, stay on sidelines |\n| 25-39 | D | Caution | Significant headwinds or overvaluation |\n| 0-24 | F | Avoid | Major red flags across multiple dimensions |\n\n---\n\n## Sample Output\n\n### `\u002Ftrade analyze AAPL`\n\n```\n╔══════════════════════════════════════════════════════════════╗\n║  AI TRADING ANALYSIS                                         ║\n║  AAPL — Apple Inc.                                           ║\n╚══════════════════════════════════════════════════════════════╝\n\nTRADE SCORE: 74\u002F100 (Grade: A)  Signal: BUY\n\n┌──────────────────────┬───────┬────────┬──────────┐\n│ Category             │ Score │ Weight │ Status   │\n├──────────────────────┼───────┼────────┼──────────┤\n│ Technical Strength   │ 78    │ 25%    │ Strong   │\n│ Fundamental Quality  │ 82    │ 25%    │ Strong   │\n│ Sentiment & Momentum │ 68    │ 20%    │ Mixed    │\n│ Risk Profile         │ 62    │ 15%    │ Mixed    │\n│ Thesis Conviction    │ 71    │ 15%    │ Strong   │\n└──────────────────────┴───────┴────────┴──────────┘\n\nENTRY: $178-$182  |  TARGET: $198-$205  |  STOP: $168\nRISK\u002FREWARD: 2.8:1  |  POSITION: 3-5% of portfolio\n\nTOP 3 CATALYSTS:\n  1. Q3 earnings (Jul 31) — services growth + AI roadmap\n  2. iPhone 17 launch (Sep) — AI features as upgrade driver\n  3. Margin expansion from services mix shift\n\nSaved: TRADE-ANALYSIS-AAPL.md\n```\n\n### `\u002Ftrade quick NVDA`\n\n```\n⚡ TRADE SNAPSHOT — NVDA (NVIDIA Corp.)\n\n  Score: 81\u002F100 (A) — BUY\n  Price: $892.40 (+2.3% today)\n  Trend: Strong uptrend, above all major MAs\n\n  ✓ Revenue growth +122% YoY (AI demand)\n  ✓ RSI 58 — bullish, not overbought\n  ✓ Institutional accumulation pattern\n\n  ✗ P\u002FE 65x — premium valuation\n  ✗ High beta (1.7) — volatile\n  ✗ Concentration risk in AI capex cycle\n\n  Run \u002Ftrade analyze NVDA for the full multi-agent analysis\n```\n\n---\n\n## Use Cases\n\n### Day Traders\nUse `\u002Ftrade technical` for real-time support\u002Fresistance levels, indicator readings, and pattern recognition. Run `\u002Ftrade quick` for fast pre-market scans.\n\n### Swing Traders\nRun `\u002Ftrade analyze` for multi-dimensional analysis. Use `\u002Ftrade thesis` to build entry\u002Fexit plans with specific price levels and timeframes.\n\n### Long-Term Investors\nFocus on `\u002Ftrade fundamental` for deep valuation and moat analysis. Use `\u002Ftrade compare` to evaluate alternatives. Run `\u002Ftrade portfolio` for allocation guidance.\n\n### Options Traders\nUse `\u002Ftrade options` for strategy recommendations based on the current setup. Combine with `\u002Ftrade earnings` for pre-earnings positioning and expected move analysis.\n\n### Portfolio Managers\nRun `\u002Ftrade portfolio` for correlation analysis and rebalancing suggestions. Use `\u002Ftrade screen` to find new opportunities. Build ranked watchlists with `\u002Ftrade watchlist`.\n\n---\n\n## Installation\n\n### Prerequisites\n\n- **Claude Code** (with an active Anthropic API key)\n- **Python 3.8+** (for PDF generation only)\n- **reportlab** — `pip3 install reportlab` (for PDF generation only)\n\n### One-Line Install\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fzubair-trabzada\u002Fai-trading-claude\u002Fmain\u002Finstall.sh | bash\n```\n\n### Manual Install\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-trading-claude.git\ncd ai-trading-claude\nchmod +x install.sh\n.\u002Finstall.sh\n```\n\n### Uninstall\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fzubair-trabzada\u002Fai-trading-claude\u002Fmain\u002Funinstall.sh | bash\n```\n\nOr run locally:\n\n```bash\n.\u002Funinstall.sh\n```\n\n---\n\n## Project Structure\n\n```\nai-trading-claude\u002F\n├── trade\u002F\n│   └── SKILL.md                         # Main orchestrator (command router)\n├── skills\u002F\n│   ├── trade-analyze\u002FSKILL.md           # Full analysis launcher\n│   ├── trade-technical\u002FSKILL.md         # Technical analysis\n│   ├── trade-fundamental\u002FSKILL.md       # Fundamental analysis\n│   ├── trade-sentiment\u002FSKILL.md         # Sentiment analysis\n│   ├── trade-sector\u002FSKILL.md            # Sector rotation\n│   ├── trade-compare\u002FSKILL.md           # Stock comparison\n│   ├── trade-thesis\u002FSKILL.md            # Investment thesis\n│   ├── trade-options\u002FSKILL.md           # Options strategies\n│   ├── trade-portfolio\u002FSKILL.md         # Portfolio analysis\n│   ├── trade-risk\u002FSKILL.md              # Risk assessment\n│   ├── trade-screen\u002FSKILL.md            # Stock screener\n│   ├── trade-earnings\u002FSKILL.md          # Earnings analysis\n│   ├── trade-watchlist\u002FSKILL.md         # Watchlist builder\n│   ├── trade-report-pdf\u002FSKILL.md        # PDF report generator\n│   └── trade-quick\u002FSKILL.md             # 60-second snapshot\n├── agents\u002F\n│   ├── trade-technical.md               # Technical analysis agent\n│   ├── trade-fundamental.md             # Fundamental analysis agent\n│   ├── trade-sentiment.md               # Sentiment analysis agent\n│   ├── trade-risk.md                    # Risk assessment agent\n│   └── trade-thesis.md                  # Thesis synthesis agent\n├── scripts\u002F\n│   └── generate_trade_pdf.py            # PDF generation (ReportLab)\n├── install.sh                           # One-line installer\n├── uninstall.sh                         # Clean uninstaller\n├── requirements.txt                     # Python dependencies\n└── README.md\n```\n\n---\n\n## Disclaimer\n\nThis tool is for **educational and research purposes only**. It is **NOT financial advice**. It does **NOT** execute trades, manage portfolios, or connect to any brokerage. All analysis is based on publicly available information gathered via web search at the time of the report. Markets are inherently unpredictable. Past performance does not guarantee future results. Always do your own due diligence and consult a licensed financial advisor before making any investment decisions. The creators of this tool accept no liability for any financial losses incurred.\n\n---\n\n\u003Cp align=\"center\">\n  \u003Cstrong>Part of the Claude Code Skills Series\u003C\u002Fstrong>\u003Cbr>\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-marketing-claude\">AI Marketing Suite\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-sales-team-claude\">AI Sales Team\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-legal-claude\">AI Legal Assistant\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-reputation-claude\">AI Reputation Manager\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fgeo-seo-claude\">GEO\u002FSEO Optimizer\u003C\u002Fa> ·\n  \u003Ca href=\"https:\u002F\u002Fgithub.com\u002Fzubair-trabzada\u002Fai-ads-claude\">AI Ads Strategist\u003C\u002Fa> ·\n  \u003Cstrong>AI Trading Analyst\u003C\u002Fstrong>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fskool.com\u002Faiworkshop\">Learn How to Build AI Tools with Claude Code\u003C\u002Fa>\n\u003C\u002Fp>\n\n\u003Cp align=\"center\">\n  \u003Ca href=\"https:\u002F\u002Fopensource.org\u002Flicenses\u002FMIT\">\u003Cimg src=\"https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FLicense-MIT-yellow.svg\" alt=\"License: MIT\"\u002F>\u003C\u002Fa>\n\u003C\u002Fp>\n","AI Trading Analyst 是一个基于 Claude Code 的研究引擎，用于股票分析、期权策略评估、行业轮动分析、投资组合分析以及生成PDF报告。该项目利用5个并行的AI代理（技术面、基本面、情绪面、风险及投资论点），对指定股票进行全面多维度分析，并给出综合交易评分（0-100）与明确的投资建议信号（强烈买入\u002F买入\u002F持有\u002F谨慎\u002F避免）。它支持16种技能，适用于需要深入研究和分析的投资场景，但仅作为研究工具使用，不提供金融建议也不执行实际交易。项目采用Python语言编写，遵循MIT许可协议。",2,"2026-06-11 02:49:20","CREATED_QUERY"]