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docs: add system and ml architecture diagrams
Python Tests
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chore: clean up unused data and clarify research boundaries
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refactor: align trading schemas with probabilistic paper trading system
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docs: rewrite README to align with ArthaQuant system architecture
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feat: add audit logs for predictions, trades, drift, and retraining
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feat: add automated retraining pipeline triggered by drift detection
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chore: harden production setup with db migrations, redis, auth, and h…
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feat: add streamlit dashboard for paper trading and analytics
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feat: add user accounts and multi-portfolio support
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feat: add user accounts and multi-portfolio support
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feat: add paper trading api endpoints
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feat: implement backtesting engine using shared execution logic
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feat: add multimodal inference service for transformer + finbert
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feat: implement cross-attention fusion model for price and sentiment
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feat: implement finbert fine-tuning pipeline with wandb
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feat: implement transformer-based time series model
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chore: initialize weights & biases and add logging utilities
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feat: add docker-compose for local development
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feat: add production dockerfile for backend service
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chore: add dvc pipeline skeleton
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chore: add central params configuration
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chore: add minimal requirements for backend and ml
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chore: add dvcignore for non-versioned artifacts
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chore: add dockerignore to optimize image builds
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chore: add gitignore for python, ml, and infra artifacts
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