by staskh
Claude powered advisor system for option traders
# Add to your Claude Code skills
git clone https://github.com/staskh/trading_skillsMost retail traders juggle 5+ tabs — broker, charting platform, screener, news feed, spreadsheet — just to decide whether to enter a trade. This project collapses all of that into a single conversational interface powered by Claude.
Ask a question in plain English, get back real data: technicals, fundamentals, option Greeks, risk metrics, earnings dates, correlation matrices, and full PDF reports. Connect your Interactive Brokers account and it manages your portfolio too — finds roll candidates for expiring shorts, flags earnings risk, and generates action reports.
Who is this for?
Quick example — scan for bullish setups and check PMCC viability:
You: Scan AAPL,MSFT,NVDA,GOOGL,AMZN for bullish trends, then check the top picks for PMCC suitability
Claude: [runs scanner-bullish → filters top scores → runs scanner-pmcc]
NVDA: Bullish score 8/10, PMCC score 9.2/11 — LEAPS $95 call (Δ0.82),
sell $140 call (Δ0.18), net debit $5,420, annual yield 47%...
Another example — correlation check before adding to a portfolio:
You: Show correlation for SPY,GOOG,NVDA,ZM,RTX,PFE,XOM
Claude: NVDA is the standout diversifier — near-zero correlation with everything.
RTX/XOM at 0.86 — little diversification benefit between them.
"Analyze option spread strategies and probability of profit for SPY, QQQ and DIA"

git clone https://github.com/staskh/trading_skills.git
cd trading_skills
uv sync
Run Claude Code or Cursor in the repository root. All skills are available as interactive commands — ask questions about your IBKR portfolio, symbols, or companies of interest.
The MCP server is a lightweight alternative for use with Claude Desktop (including the free tier). It exposes 23 trading analysis tools directly to Claude Desktop without needing Claude Code.
Install the package (requires Python 3.12+):
pip install trading-skills
Find the full path to the installed command:
macOS / Linux:
which trading-skills-mcp
Windows:
where trading-skills-mcp
If where doesn't find it, locate it manually:
python -c "import sysconfig; print(sysconfig.get_path('scripts'))"
The script will be trading-skills-mcp.exe in that directory (typically at C:\Users\<YourUsername>\AppData\Local\Programs\Python\Python<Version>\Scripts\)
Open Claude Desktop, go to Settings → Developer → Edit Config:

Add the following to claude_desktop_config.json:
macOS / Linux:
{
"mcpServers": {
"trading-skills": {
"command": "/full/path/to/trading-skills-mcp"
}
}
}
Windows:
{
"mcpServers": {
"trading-skills": {
"command": "C:\\full\\path\\to\\trading-skills-mcp.exe"
}
}
}
Replace the path with the output from step 2.
Restart Claude Desktop. Don't worry if you see an MCP error message — it will disappear once you try some of the examples below.
Add the following to claude_desktop_config.json:
macOS / Linux:
{
"mcpServers": {
"trading-skills": {
"command": "uvx",
"args": ["--from", "git+https://github.com/staskh/trading_skills.git", "trading-skills-mcp"]
}
}
}
Windows:
{
"mcpServers": {
"trading-skills": {
"command": "cmd",
"args": ["/c", "uvx", "--from", "git+https://github.com/staskh/trading_skills.git", "trading-skills-mcp"]
}
}
}
| Skill | Description |
|-------|-------------|
| stock-quote | Real-time price, volume, change, market cap, 52-week range |
| option-chain | Calls and puts with strikes, bids, asks, volume, OI, IV |
| price-history | Historical OHLCV data |
| fundamentals | Financials, earnings, key metrics, Piotroski F-Score |
| news-sentiment | Recent headlines and sentiment |
| earnings-calendar | Upcoming earnings dates with BMO/AMC timing and EPS estimates |
| Skill | Description |
|-------|-------------|
| technical-analysis | RSI, MACD, Bollinger Bands, SMA, EMA, ATR, ADX, correlation matrix |
| greeks | Delta, gamma, theta, vega, IV (Black-Scholes) |
| spread-analysis | Verticals, diagonals, straddles, strangles, iron condors |
| risk-assessment | Volatility, beta, VaR, drawdown, Sharpe ratio |
| Skill | Description |
|-------|-------------|
| scanner-bullish | Scan symbols for bullish trends (SMA, RSI, MACD, ADX) |
| scanner-pmcc | Scan for PMCC suitability (delta, liquidity, spread, IV, yield) |
| whale-hunting | Detect institutional option whale activity for an underlying (requires Massive API key) |
| Skill | Description |
|-------|-------------|
| ib-account | Account summary (cash, buying power, margin) |
| ib-portfolio | Portfolio positions with market prices |
| ib-option-chain | Real-time option chain data from IB (under development) |
| ib-find-short-roll | Roll candidates for short positions or covered call/put selection |
| ib-collar | Tactical collar strategy for earnings/event protection |
| ib-portfolio-action-report | Portfolio review with earnings risk and action items |
| ib-create-consolidated-report | Consolidate IBRK trade CSVs into summary reports |
| ib-report-delta-adjusted-notional-exposure | Delta-adjusted notional exposure across accounts |
| Skill | Description |
|-------|-------------|
| report-stock | Comprehensive PDF/markdown report with trend, PMCC, and fundamental analysis |
The MCP server exposes a subset of skills as tools for Claude Desktop:
| Category | Tools |
|----------|-------|
| Market Data | stock_quote, price_history, news_sentiment, fundamentals, piotroski_score, earnings_calendar |
| Technical | technical_indicators, price_correlation, risk_assessment |
| Options | option_expiries, option_chain, option_greeks |
| Spreads | spread_vertical, spread_diagonal, spread_straddle, spread_strangle, spread_iron_condor |
| Scanners | scan_bullish, scan_pmcc |
| Whale Hunting | whale_hunting |
| IB Portfolio | ib_account, ib_portfolio, ib_find_short_roll, ib_portfolio_action_report |
Temporary reports, datasets, and notebooks are saved to sandbox/ and are not committed to git. Report filenames include timestamps: <name>_YYYY-MM-DD_HHmm.<ext>.
To use IB features:
Whale-detection features (option_whales, whales_hunter) require a Massive API key (the platform was previously known as Polygon.io).
Create a .env file in the repository root:
MASSIVE_API_KEY=your_polygon_api_key_here
The library loads it automatically via python-dotenv.
Pass the key through the env field in claude_desktop_config.json:
macOS / Linux:
{
"mcpServers": {
"trading-skills": {
"command": "/full/path/to/trading-skills-mcp",
"env": {
"MASSIVE_API_KEY": "your_massive_api_key_here"
}
}
}
}
Windows:
{
"mcpServers": {
"trading-skills": {
"command": "C:\\full\\path\\to\\trading-skills-mcp.exe",
"env": {
"MASSIVE_API_KEY": "your_massive_api_key_here"
}
}
}
}
The
envblock is merged with the system environment, so other variables are not affected.
# Run tests
uv run pytest tests/ -v
# Lint
uv run ruff check src/ tests/
uv run ruff format src/ tests/
# Test individual script
uv run python .claude/skills/fundamentals/scripts/fundamentals.py AAPL
# Debug MCP server with MCP Inspector
npx @modelcontextprotocol/inspector uv run pytho
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