Pine Script Video Course: Typed-Live Lesson Pipeline
Narrated 4K lessons where code is typed into TradingView Desktop live over CDP, recorded over CDP, and GPU-edited with a virtual camera.
24 lessons plus a masterclass published, per-sentence TTS with transcription QA, action beats anchored to narration, Recordly driven over its own debug port, torch-based camera moves, automated upload, code pages, playlists and scheduled cross-posting; a growth tracker measured that problem-style titles beat lesson numbers tenfold.
- Live typing in TradingView via CDP paced to narration
- Transcription QA on every narration beat
- 4K60 GPU edit with measured camera moves
- Automated upload, code pages and cross-posting with a growth tracker
The course teaches Pine Script by showing it typed, compiled and used on a real chart rather than pasted. Each lesson is a JSON file of beats: narration text plus actions such as type, append, add to chart and set input. The pipeline synthesises narration sentence by sentence (cached), rehearses the take at speed, then records: a Node driver types inside TradingView Desktop's Monaco editor through the DevTools Protocol, paced to the narration timing, while the recorder app is itself driven over a debug port. Audio gets a ducked synth bed and key clicks from the typing log; a torch-based renderer applies camera moves and composes 4K60 output; a packager writes captions, chapters and thumbnails.
The engineering lessons are concrete: record in a separate layout so my chart is never touched, verify every beat by transcription because the TTS misreads phrases, sample frames near the end of segments because a take can "succeed" while visually broken, and scan every take for notification toasts before publishing. Lessons 22 to 24 cover repainting, object references and strategy fill models with an indicator table because this TradingView build does not paint drawing objects.
Publishing is automated: resumable uploads with channel assertion, thumbnails, captions, code pages on the site, playlist placement and a scheduled daily cross-post. A growth tracker pulling channel data showed viewer-problem titles earning roughly ten times the views of numbered lessons, which changed the titling policy.
How it works
- lesson.json defines narration beats and editor actions
- TTS renders each sentence; transcription QA flags misreads
- Driver rehearses, then records the typed take in a dedicated layout
- Renderer applies camera moves and composes 4K60 with audio bed
- Packager writes captions, chapters, thumbnails and the Pine .txt
- Uploader publishes, builds the code page and schedules cross-posts