Has anyone built their own automated stock research stack?
u/ThisCase41 ·
Reddit — r/algotrading
· 2026년 7월 16일, 01:27
· ⬆ 15 포인트
· 💬 26 개 댓글
| Reddit에서 보기 ↗
AI 요약
=== 요약 ===
- 주식 롱/숏 투자를 위한 리서치 자동화(뉴스, 공시, 컨퍼런스 콜 녹취록, IR 자료 등)에 관한 질문입니다.
- 작성자는 너무 많은 노이즈를 생성하지 않으면서 가치를 더할 수 있는 리서치 스택을 설계하는 데 어려움을 겪고 있습니다.
- 특정 종목에 대한 투자 의견이나 트레이딩 아이디어는 제시되지 않았으며, 리서치 워크플로우에 관한 메타 논의입니다.
=== 시장 심리 ===
중립
=== 투자 아이디어 ===
이 게시물에는 실행 가능한 투자 아이디어가 없습니다.
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Much of the discussion on here very much revolves around “actual” algo trading.
I am more interested in the "research" side of things. For those who invest long (or short) in common stock, what does your research setup look like?
Is it still mostly manual, or have you managed to automate a meaningful part of it? I'm talking about the news monitoring, filings, transcripts and IR releases, spotting themes early, screening companies and deciding what is genuinely worth pursuing.
Have you built your own proprietary research stack around this?
I am trying to do something similar myself, and it is proving much harder to design and structure than expected. You are caught between a rock and a hard place. Keep it too simple and it adds very little. Build too much and you end up with an elaborate machine producing too much noise, overwhelming yourself even more.
Keen to hear from anyone who has designed their own stack from scratch, particularly the pitfalls, what actually works, and what turned out to be a complete waste of time.
Many thanks.