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manual backprop\"]\n        B2[\"forecaster_rnn.py<br/>PyTorch GRU\"]\n    end\n\n    subgraph P3[\"Phase 3: Fine-tuning + LLM Layer\"]\n        C1[\"sentiment_finetune.py<br/>fine-tuned DistilBERT\"]\n        C2[\"decoding_comparison.py<br/>greedy / beam / nucleus\"]\n    end\n\n    subgraph P4[\"Phase 4: RAG Layer\"]\n        D1[\"chunking.py + vector_store.py<br/>Chroma + all-MiniLM-L6-v2\"]\n        D2[\"langchain_pipelines.py<br/>grounded chain, Gemini 2.5 Flash\"]\n    end\n\n    subgraph P5[\"Phase 5: CrewAI Agents\"]\n        E1[\"Quant Agent\"]\n        E2[\"Sentiment Agent\"]\n        E3[\"Compliance Agent\"]\n        E4[\"Strategist Agent\"]\n    end\n\n    F[\"Phase 6: Streamlit Dashboard\"]\n\n    A1 --> B1\n    A1 --> B2\n    A2 --> C1\n    A3 --> D1 --> D2\n    B1 --> E1\n    B2 --> E1\n    C1 --> E2\n    D2 --> E3\n    E1 --> E4\n    E2 --> E4\n    E3 --> E4\n    E1 --> F\n    E2 --> F\n    E3 --> F\n    E4 --> F"},{"kind":"example","language":"bash","snippet":"> ./.venv/Scripts/python.exe -m streamlit run app/dashboard.py\n>"}]}}