모든 기회

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78점수
r/algotrading
SaaS subscription
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Skipped-Trade Edge Journal

Create a trade journaling platform that records both executed and skipped setups so traders can evaluate whether filters improve edge or merely reduce activity. This solves a blind spot that normal broker histories and journals do not cover.

증가 +33%5개 채널30일 언급 추세: latest 3, peak 3, 30-day series
Reddit에서 보기
발견 2026년 7월 21일

이것이 중요한 이유

You think your filter is improving your strategy because the trades you took look better. The problem is you never measured what would have happened if you had taken the opportunities you skipped. That means you cannot tell whether your rules add real value, cut out losers, or simply make you trade less. Standard journaling tools mostly start at the moment an order exists, which leaves a major gap in the research loop. For traders who mix discretion with rules, this missing dataset quietly prevents learning and causes false confidence in filter logic.

  • · Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help.을(를) 위해 제작되었습니다.
  • · 가장 유력한 수익화 모델: SaaS subscription.

고충 · 내러티브

You think your filter is improving your strategy because the trades you took look better. The problem is you never measured what would have happened if you had taken the opportunities you skipped. That means you cannot tell whether your rules add real value, cut out losers, or simply make you trade less. Standard journaling tools mostly start at the moment an order exists, which leaves a major gap in the research loop. For traders who mix discretion with rules, this missing dataset quietly prevents learning and causes false confidence in filter logic.

점수 세부

고통 강도8/10
지불 의향6/10
구축 용이성6/10
지속가능성8/10

시장 신호

30일 언급 추세최고치: 3
Sparkline: latest 3, peak 3, 30-day series
적용 채널
algotradingDaytradingoptionssaasChatGPT

시장 진출 전략

정확한 대상 사용자

Active discretionary or semi-automated traders who evaluate 10 or more candidate setups per week and already keep some form of trading journal.

추정 사용자 수

~100K-300K globally

주요 획득 채널

r/<community> organic

가격 기준점

$29/month

첫 번째 마일스톤

50 weekly active users logging both taken and skipped setups for 4 consecutive weeks

MVP 범위 · 1~2주

1주차
  • Design a setup schema for candidate trade, filter state, and horizon outcome
  • Build manual and CSV-based setup logging flow
  • Create dashboard for taken versus skipped trade outcome comparison
  • Add expectancy and win-rate breakdown by filter or reason code
  • Publish a simple onboarding guide for spreadsheet users
2주차
  • Add browser-based form for rapid intraday setup capture
  • Implement reminder system to finalize horizon outcomes automatically
  • Build rule tags for common filters like volatility, trend, and liquidity
  • Add import from one broker export and one charting alert source
  • Interview first 10 active users to refine workflow friction
MVP 기능: Capture engine for all detected setups, not only placed orders · Side-by-side analysis of taken versus skipped outcomes · Filter attribution dashboard showing impact on expectancy and frequency · Missed-trade reminders and review workflow

차별화

기존 솔루션
Treeova
당사의 접근법
There is an unmet need for beginner-to-intermediate algo trading software that combines realistic backtesting, skipped-trade analysis, production monitoring, and non-programmer usability in one workflow.

실패 가능 요인

자가 반박 — 가장 중요한 신뢰 신호

  1. 1If setup capture feels like extra admin work, users will not log enough data for the product to prove value.
  2. 2Many traders lack a systematic signal-generation step, reducing fit for the product.
  3. 3The insight may be valuable but too niche to support a large standalone business without adjacent journaling features.

근거 요약

AI가 이 인사이트를 합성한 방법 — 직접 인용 없음

The clearest unique insight in the discussion was that traders rarely measure the opportunities they reject, leaving them unable to judge whether filters create edge. Another comment reinforced the consistency problem by noting that partial automation reduced missed trades. Together, these signals support a product focused on the untracked area between signal and execution.

1 1개 게시물 분석5 5개 채널AI · AI 합성 · 직접 인용 없음

액션 플랜

코드를 작성하기 전에 이 기회를 검증하세요

권장 다음 단계

개발 시작

강한 수요 신호 감지. 실제 고통과 지불 의지 확인 — MVP 개발을 시작하세요.

랜딩 페이지 카피 키트

실제 Reddit 댓글 기반의 바로 사용 가능한 문구 — 그대로 붙여넣기 가능합니다

헤드라인

Skipped-Trade Edge Journal

서브 헤드라인

Create a trade journaling platform that records both executed and skipped setups so traders can evaluate whether filters improve edge or merely reduce activity. This solves a blind spot that normal broker histories and journals do not cover.

대상 사용자

대상: Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help.

기능 목록

✓ Capture engine for all detected setups, not only placed orders ✓ Side-by-side analysis of taken versus skipped outcomes ✓ Filter attribution dashboard showing impact on expectancy and frequency ✓ Missed-trade reminders and review workflow

어디서 검증할까요

r/r/algotrading에 랜딩 페이지 링크를 공유하세요 — 바로 이 고통이 발견된 곳입니다.

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자주 묻는 질문

누가 이 페인 포인트를 느끼나요?
Rule-based discretionary traders and light-automation users who generate many candidate setups and want to quantify whether their filters and overrides help.
이것이 실제 기회인가요?
이 기회는 Pain Spotter의 종합 지표(페인 포인트 강도, 지불 의사, 기술적 실현 가능성 및 지속 가능성)에서 78/100점을 받았습니다. 엔지니어링 시간을 투자하기 전에 추가로 검증하세요.
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