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About biaX: Emotional Trade Journal

A position is down 8%. The thesis hasn't changed, so you add. That decision leaves a specific footprint in your trade data — and biaX is built to show it to you. biaX is a trading-behavior analytics app: a daily mirror for how you act while trading, across US stocks, Korean stocks, and crypto. Connect your brokerage (read-only) or log your trades, tag them, and biaX surfaces the patterns — your holding-time distribution, how often you re-enter after a stop-out, where your exit timing skews. It now starts before the open: a session check-in records your emotional state, your max trades, and your max loss for the day — one tap each, plus up to three items you choose from a catalog. At the close, what you declared sits next to what you actually did. What biaX is not: not a P&L tracker, not a signal service, not a robo-advisor, not a course. It never tells you what to buy, sell, or hold. It doesn't promise returns. It's grounded in behavioral-finance research — the disposition effect (Odean), loss aversion (Kahneman & Tversky), the sunk-cost effect (Arkes & Blumer) — translated into the patterns that appear in your own fills. We don't promise profits. We show you your behavior. What you do with it is yours. ---------------------------------------------------------------------------------------- Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/ Privacy Policy: https://biax.app/privacy

What’s new

Version 1.1.0 · Updated August 28, 2026

Try biaX before you sign up. - Browse Home, Journal, and Analysis with sample data — no account needed - See how check-ins, emotion tags, and your behavior summary look once you start recording - Links now open the right screen even when you're signed out - Stability improvements and bug fixes

App privacy

The developer, Barunpartners, reported these privacy practices to Apple.

Data Not Linked to You

The following data, which may be collected but is not linked to your identity, may be used for the following purposes:

  • Usage Data: Product Interaction
  • Purchases: Purchase History
  • Financial Info: Other Financial Info
  • Contact Info: Email Address
  • Identifiers: User ID, Device ID
  • Diagnostics: Crash Data

Used for: Analytics, App Functionality

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