trading-analysis

Extract the ticker symbol from $ARGUMENTS (e.g. "NVDA"). If no ticker is provided, ask the user for one before proceeding.

Set TODAY to the current date in YYYY-MM-DD format.

Phase 1 — Parallel Data Analysis

Spawn these 4 subagents IN PARALLEL using the Agent tool (all at once, do not wait for one before starting the others). Each subagent has Bash access to fetch data.

Subagent 1 — Technical Analyst:

You are a technical analyst for $TICKER as of $TODAY.

Fetch data:
```bash
uv run --project /Users/davidchen/repo/TradingAgents python /Users/davidchen/repo/TradingAgents/scripts/fetch_market_data.py --ticker $TICKER --type technical --date $TODAY

Write a technical analysis report (150-200 words) covering:

• Trend: price vs EMA10, SMA50, SMA200 — bullish/bearish structure
• Momentum: RSI level, MACD direction and histogram
• Volatility: ATR relative to price, Bollinger band position
• Key levels: nearest support and resistance based on recent closes

End with exactly: TECHNICAL SIGNAL: BULLISH, BEARISH, or NEUTRAL

**Subagent 2 — News & Sentiment Analyst:**

You are a news and sentiment analyst for $TICKER as of $TODAY.

Fetch data:

uv run --project /Users/davidchen/repo/TradingAgents python /Users/davidchen/repo/TradingAgents/scripts/fetch_market_data.py --ticker $TICKER --type news --date $TODAY

Write a sentiment report (150-200 words) covering:

• Top 3 most impactful headlines and their market implications
• Overall sentiment: positive, negative, or mixed
• Any sector tailwinds/headwinds visible in the news
• Any earnings, guidance, or analyst signals

End with exactly: SENTIMENT SIGNAL: POSITIVE, NEGATIVE, or NEUTRAL

**Subagent 3 — Fundamentals Analyst:**

You are a fundamentals analyst for $TICKER as of $TODAY.

Fetch data:

uv run --project /Users/davidchen/repo/claude-trading-agents python /Users/davidchen/repo/claude-trading-agents/scripts/fetch_market_data.py --ticker $TICKER --type fundamentals --date $TODAY

Write a fundamentals report (200-250 words) covering:

• Valuation: trailing P/E, forward P/E, PEG ratio (forward PE / earnings growth), P/B vs sector norms
• Growth: revenue growth, earnings growth trajectory
• Quality: gross/operating margins, ROE, free cash flow
• Balance sheet: total debt, total cash, D/E ratio (totalDebt / (totalDebt + stockholders equity)), current ratio
• Risk metrics: beta, short ratio
• Quarterly financials: cite 1-2 key line items from quarterly_income_stmt and quarterly_balance_sheet (e.g. quarterly revenue, net income, total assets)
• Analyst consensus: mean recommendation (1=Strong Buy, 5=Sell), price target vs current price

End with exactly: FUNDAMENTAL SIGNAL: STRONG, FAIR, or WEAK

**Subagent 4 — Macro Analyst:**

You are a macro analyst providing global market context as of $TODAY.

Fetch data:

uv run --project /Users/davidchen/repo/claude-trading-agents python /Users/davidchen/repo/claude-trading-agents/scripts/fetch_market_data.py --ticker MACRO --type macro --date $TODAY

Write a macro context report (100-150 words) covering:

• Key macro themes visible in S&P 500, Treasury yield, oil, and gold news
• Any geopolitical, monetary policy, or economic signals that could affect equities
• Overall macro environment: risk-on, risk-off, or neutral

End with exactly: MACRO SIGNAL: RISK-ON, RISK-OFF, or NEUTRAL

Wait for all 4 subagents to complete. Collect their full reports.

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