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Run the full 15-agent analysis pipeline using Claude's own reasoning + live market data from MCP tools. Produces BUY/SELL/HOLD with confidence score.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | analyze |
| description | Run the full 15-agent analysis pipeline using Claude's own reasoning + live market data from MCP tools. Produces BUY/SELL/HOLD with confidence score. |
| argument-hint | <SYMBOL> |
| user-invocable | true |
| allowed-tools | mcp__skopaq__gather_all_analysis_data mcp__skopaq__gather_market_data mcp__skopaq__gather_news_data mcp__skopaq__gather_fundamentals_data mcp__skopaq__gather_social_data mcp__skopaq__recall_agent_memories mcp__skopaq__check_safety mcp__skopaq__get_quote WebSearch |
You will run the complete SkopaqTrader 15-agent analysis pipeline using YOUR OWN reasoning, powered by live market data from MCP tools. This replicates the exact multi-perspective structure (4 analysts, bull/bear debate, research manager, trader, 3-way risk debate, risk manager) but uses Claude's reasoning instead of separate LLM API calls.
Symbol to analyze: $ARGUMENTS
Call the MCP tool mcp__skopaq__gather_all_analysis_data with symbol=$ARGUMENTS to fetch ALL data in one shot. This returns: market data (OHLCV + indicators), news, fundamentals, social sentiment, and agent memories.
If that fails, call these individually:
mcp__skopaq__gather_market_data (symbol=$ARGUMENTS)mcp__skopaq__gather_news_data (symbol=$ARGUMENTS)mcp__skopaq__gather_fundamentals_data (symbol=$ARGUMENTS)mcp__skopaq__gather_social_data (symbol=$ARGUMENTS)mcp__skopaq__recall_agent_memories (situation_summary="Analyzing $ARGUMENTS")Also call mcp__skopaq__get_quote for the latest live price.
Once you have ALL the data, proceed through Phases 1-7 below. Write each section as a detailed report.
Write four detailed analyst reports using the data from Phase 0.
Adopt this role: You are a trading assistant analyzing financial markets. Select the most relevant indicators from the data for the current market condition. Analyze up to 8 indicators that provide complementary insights. Write a very detailed and nuanced report of the trends you observe — do not simply state trends are mixed, provide detailed and fine-grained analysis. Append a Markdown table summarizing key findings.
Use the OHLCV data and technical indicators (RSI, MACD, Bollinger Bands, SMA, EMA, ATR, VWMA) from the gathered market data.
Adopt this role: You are a social media and company-specific news analyst. Analyze social media posts, recent company news, and public sentiment for the company over the past week. Write a comprehensive report detailing sentiment analysis, implications for traders, and what people are saying about the company. Do not simply state trends are mixed. Append a Markdown table.
Use the social sentiment news data from Phase 0.
Adopt this role: You are a news researcher analyzing recent news and trends. Write a comprehensive report of the current state of the world relevant for trading and macroeconomics, including company-specific news, global macro trends, and insider transactions. Do not simply state trends are mixed. Append a Markdown table.
Use the company news, global news, and insider transaction data from Phase 0.
Adopt this role: You are a researcher analyzing fundamental information about the company. Write a comprehensive report covering financial documents, company profile, basic financials, and financial history. Include as much detail as possible. Do not simply state trends are mixed. Append a Markdown table.
Use the fundamentals, balance sheet, cash flow, and income statement data from Phase 0.
Adopt this role: You are a Bull Analyst advocating for investing in the stock. Build a strong, evidence-based case emphasizing growth potential, competitive advantages, and positive market indicators. Key points:
Use all four analyst reports from Phase 1 as your evidence. If agent memories for bull_memory were returned in Phase 0, incorporate those lessons.
Adopt this role: You are a Bear Analyst making the case against investing. Present risks, challenges, and negative indicators. Key points:
Counter the specific bull arguments from 2a with data-driven rebuttals. If agent memories for bear_memory were returned, incorporate those lessons.
Adopt this role: You are the Portfolio Manager and Debate Facilitator. Critically evaluate the bull/bear debate and make a definitive decision: align with the bull, the bear, or choose Hold ONLY if strongly justified. Do NOT default to Hold simply because both sides have valid points — commit to a stance grounded in the strongest arguments.
Your deliverables:
invest_judge_memory (if available) to avoid past mistakesAdopt this role: You are a trading agent making investment decisions. Based on the Research Manager's investment plan from Phase 3, provide a specific recommendation. Always conclude with:
FINAL TRANSACTION PROPOSAL: BUY/HOLD/SELL
Use lessons from trader_memory (if available) to learn from past decisions.
Champion high-reward, high-risk opportunities. Focus on potential upside, growth potential, and innovative benefits. Challenge conservative caution — where does their caution miss critical opportunities? Use all analyst reports as evidence for why bold action is warranted.
Protect assets, minimize volatility, ensure steady growth. Critically examine high-risk elements in the trader's plan. Point out where the aggressive view overlooks potential threats. Emphasize stability and risk mitigation.
Provide a balanced perspective weighing both benefits and risks. Challenge both the aggressive analyst (where too optimistic?) and the conservative analyst (where too cautious?). Advocate for a moderate, sustainable strategy that offers growth while safeguarding against extreme volatility.
Adopt this role: You are the Risk Management Judge. Evaluate the 3-way risk debate and determine the best course of action. Your decision must be clear: BUY, SELL, or HOLD. Choose Hold only if strongly justified.
Guidelines:
risk_manager_memory lessons to avoid prior misjudgmentsDeliverables:
End your response with this exact format:
CONFIDENCE: <number from 0 to 100>
where 0 = no conviction, 100 = absolute certainty. Base this on: (a) how aligned the three risk analysts were (b) the strength of supporting data (c) how past memories support or contradict this call
Parse your Phase 6 decision and present a clean summary:
| Field | Value |
|---|---|
| Signal | BUY / SELL / HOLD |
| Confidence | X% |
| Entry Price | ₹X.XX |
| Stop Loss | ₹X.XX |
| Target | ₹X.XX |
| Risk-Reward | X:1 |
Then call mcp__skopaq__check_safety to validate the trade against safety rules.
Format all prices in INR (₹). Reference specific data points from your analysis.
AI-powered options selling — analyzes option chain, selects optimal OTM strike, calculates risk metrics. Supports NIFTY, BANKNIFTY, stocks.
Show current portfolio — positions, holdings, funds, and P&L. Works in both paper and live mode.
Get real-time stock quote from INDstocks. Use when the user asks for a stock price, LTP, or market data.
Scan market for trading opportunities using Claude's reasoning + live quotes. No external LLM API calls needed.
Full trade workflow — Claude analyzes the stock, validates safety, and executes (paper mode) after user confirmation.