Crypto Re-Entry Strategy Generation
Evaluation will assess the quality and coherence of the generated market re-entry strategy, the effectiveness of the LangGraph workflow in orchestrating agents, the depth of analysis provided by Gemini 2.5 Pro's Deep Think mode, and the utilization of RAG and tool integrations.
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Task templates
Inputs and expected outputs.
Crypto Re-Entry Strategy Generation
Generate a detailed 6-month market re-entry strategy for a crypto exchange targeting the US market, focusing on compliance, competitive differentiation, and growth. Input includes simulated historical market data and regulatory updates.
JSON: { "market_focus": "US", "duration_months": 6, "initial_capital": "$50M", "regulatory_updates": ["2024_SEC_guidance.pdf", "2024_CFTC_amendments.pdf"], "competitor_analysis_reports": ["Binance_US_report_Q3_2024.pdf", "Coinbase_report_Q3_2024.pdf"], "simulated_market_data_api": "https://api.example.com/crypto_data" }
JSON: { "strategy_document": "markdown_string", "langgraph_trace": "json_representation_of_workflow", "rag_summary": "string", "tool_calls_summary": "array_of_objects" }