Original Summary

I've caught myself doing the same two things over and over: buying into a stock while it's still falling (before the selloff is actually done), and selling too early once a position recovers. I always suspected this but never had anything that proved it with my own numbers. So I built Stock Analyzer — it pulls price history, RSI/MACD/trend indicators, analyst ratings, and recent SEC filings for a ticker, and layers an AI-generated read on top. The part I actually use daily: it matches every trade I've logged against the RSI/MACD/trend reading on the exact date I made it, so I can see in aggregate whether my dip-buying or my sell timing has actually paid off — not in theory, against my own history. A few other pieces: a watchlist scanner that flags breakouts/breakdowns/MACD crosses across everything I'm tracking, and a "discipline" layer that calls out the two mistakes above when they're happening in real time. It's built for swing/position trading — daily closes, not intraday, so it's not for day trading. Free 30-day trial, no card required: https://antrun.com/stock-analyzer/ Would love feedback, especially from anyone else who journals trades — does the buy/sell timing breakdown match how you'd actually want to see this, or is there a different cut of the data that'd be more useful?   submitted by   /u/albertsportsnet1 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/22 06:16:23