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Trade Journal with MAE/MFE Analytics
Create a trade-journaling and analytics app focused on swing-trade quality metrics rather than simple win rate. The product would automatically calculate drawdown, excursion, exit efficiency, loss realization, and late-entry degradation to improve exits, stops, and sizing decisions.
これが重要な理由
You are taking trades regularly, but your broker statement only tells you the blunt outcome: win, loss, and net profit. That misses the decisions that actually matter. You do not know whether you consistently cut winners too early, let losers travel too far, or enter after too much of the move has already passed. Spreadsheets can track some of this, but they are tedious and rarely show useful distributions across dozens of trades. You need a journal that translates raw executions into practical improvements for stop placement, profit-taking, and position sizing, especially for trades held over several days where execution quality matters differently than in intraday systems.
- · Active discretionary swing traders and semi-systematic traders who already place live trades and want better post-trade analysis.向けに構築。
- · 最も可能性の高い収益化モデル: SaaS subscription。
痛み · ナラティブ
You are taking trades regularly, but your broker statement only tells you the blunt outcome: win, loss, and net profit. That misses the decisions that actually matter. You do not know whether you consistently cut winners too early, let losers travel too far, or enter after too much of the move has already passed. Spreadsheets can track some of this, but they are tedious and rarely show useful distributions across dozens of trades. You need a journal that translates raw executions into practical improvements for stop placement, profit-taking, and position sizing, especially for trades held over several days where execution quality matters differently than in intraday systems.
スコア内訳
市場シグナル
市場投入
Retail swing traders with at least 20 trades per month who already review performance but do not have institutional-grade post-trade analytics.
~100K-300K globally in the reachable online niche
SEO long-tail
$29/month
100 connected or imported accounts with 30% weekly dashboard return usage within 30 days
MVPの範囲 · 1～2週間
- Build CSV import for filled orders and daily OHLC data
- Calculate per-trade MAE, MFE, realized PnL, and hold time
- Create charts for excursion distributions by setup tag
- Add manual trade tagging and notes
- Launch a summary dashboard with exit efficiency metrics
- Add broker integrations for two popular retail brokers
- Implement late-entry gap detection versus signal timestamp
- Generate stop and target range suggestions from historical distributions
- Add cohort views by symbol, setup, and market regime
- Ship weekly email recaps with top performance leaks
差別化
失敗する可能性がある理由
自己反論 — 最も重要な信頼のシグナル
- 1Journaling is a known category, so differentiation must come from unusually actionable analytics rather than basic recordkeeping.
- 2Users may hesitate to grant broker access or may abandon setup if imports are unreliable.
- 3If the recommendations feel generic or statistically weak, traders will revert to their existing spreadsheets.
エビデンスの概要
AIがこのインサイトをどのように統合したか — 逐語的な引用はありません
A meaningful cluster of comments focused on excursion and drawdown analytics, especially MAE, MFE, exit efficiency, and stop placement based on historical distributions. Others highlighted hidden execution issues such as entering after part of the move was already gone. This indicates demand for a product that transforms raw trade history into specific performance-improvement insights rather than simple journaling.
アクションプラン
コードを書く前に、この機会を検証しましょう
推奨する次のステップ
開発する
強い需要シグナルを検出。本物の課題と支払い意欲を確認 — MVPの開発を始めましょう。
ランディングページ文案キット
実際のRedditコメントから抽出したコピー、そのまま貼り付けられます
見出し
Trade Journal with MAE/MFE Analytics
サブ見出し
Create a trade-journaling and analytics app focused on swing-trade quality metrics rather than simple win rate. The product would automatically calculate drawdown, excursion, exit efficiency, loss realization, and late-entry degradation to improve exits, stops, and sizing decisions.
ターゲットユーザー
対象：Active discretionary swing traders and semi-systematic traders who already place live trades and want better post-trade analysis.
機能リスト
✓ Broker and CSV trade import ✓ Automatic MAE/MFE and drawdown distributions ✓ Exit efficiency and loss control scorecards ✓ Late-entry and missed-move diagnostics ✓ Stop-loss and take-profit calibration suggestions
どこで検証するか
r/r/algotrading にランディングページのリンクを投稿しましょう — そこがこの課題が発見された場所です。
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