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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
| 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.