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Data & AI

ICT/SMC/ChanLun trading knowledge base (726 concepts, 1282 cases) with four interaction modes: concept Q&A, chart analysis, annotation, and K-line analysis via Mobius Quant API.

Data & AI

Scaffolds matplotlib figure code following established TDA visualization conventions. Uses predefined style constants for consistent publication-ready figures.

Data & AI

Navigate dynamic JavaScript-heavy sites, take screenshots, and extract content using a headless browser. Use when standard requests fail.

Data & AI

Inspect ML training availability on completed Itô compute bookings and hand off a confirmed training manifest when the canonical backend is available. Chains off ito-compute and never runs its own training stack.

Data & AI

Run 150+ AI apps including image generation, video creation, LLMs, search, and more via the inference.sh CLI. No GPU required.

Data & AI

Import chats, photos, generate memories and an evolving persona from an ex.

Data & AI

Guide to optimizing vector index performance for latency, recall, and memory. Covers HNSW tuning, quantization strategies, and scaling.

Data & AI

Extracts structured financial data from receipt/invoice images using AI.

Data & AI

End-to-end workflow for Kaggle competitions, from validation to submission, optimized for Codex. Includes rule analysis, modeling, multi-notebook architectures, and score optimization.

Data & AI

Search and analyze popular quantitative trading projects on GitHub, providing recommendations on tech stacks, architectures, and best practices.

Data & AI

Predict persona performance in specific task contexts.

Data & AI

Prepares files for NotebookLM by scoring and merging sources, converting formats, and optimizing RAG retrieval within the 50-source limit.