847ff67986
Add complete workflow for using TA-Lib to bootstrap training data: - generate_talib_annotations.py: Python script to run TA-Lib CDL* functions and output span annotations in UI-compatible format - import_talib_annotations.ts: TypeScript script to import generated annotations into the UI database with auto-label-type creation - npm script 'import-annotations' for easy execution - TALIB_WORKFLOW.md: Comprehensive guide covering the full cycle: * Generate patterns with TA-Lib * Import into UI * Review and edit in browser * Export and train model * Compare predictions with TA-Lib detections * Iterate for improvement This enables the intended workflow: use TA-Lib for initial annotations, manually refine them, then train a model that learns from corrections.
6 lines
251 B
TypeScript
6 lines
251 B
TypeScript
/// <reference types="next" />
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/// <reference types="next/image-types/global" />
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import "./.next/dev/types/routes.d.ts";
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// NOTE: This file should not be edited
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// see https://nextjs.org/docs/app/api-reference/config/typescript for more information.
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