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RizeTrade

RizeTrade is a trading journal and analytics platform for active day traders. It tracks the cost of emotional trading and lack of discipline for traders.

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Introduction

Core Problems RizeTrade Solves

Overtrading — Most blown accounts are a discipline problem, not a strategy problem. RizeTrade tracks trades per session, flags boredom trades and revenge entries in the calendar, enforces daily max-loss and max-trade limits, and visualizes rule adherence on a color-coded compliance heat map. The data shows exactly when "one more trade" turns a green day red.

Lack of Discipline — Most traders have rules. Most traders break them and can't prove which breaks cost money. RizeTrade converts playbooks into checklists, calculates a compliance percentage per strategy, and compares win rate when rules are followed versus when they are broken.

Emotional Trading — Emotion tags (revenge, FOMO, tilt, boredom, chasing, impatience) attach to individual trades. RizeTrade generates a tag-based P&L report showing the exact dollar cost of each pattern. A P&L simulation with emotional trades removed shows precisely what the account would look like without the behavioral drag.

Risk Management — RizeTrade tracks R-multiples per trade — planned versus realized — so a stop-loss violation shows up in the numbers immediately. MAE/MFE analysis reveals whether trades are held too long or cut too short. Stop-loss and take-profit adherence are tracked per trade.

Cutting Winners Early — The exit efficiency score expresses actual profit captured as a percentage of maximum available profit. Best Exit P&L compares the actual exit to the best achievable exit across all trades. The score builds evidence-based confidence to hold winners longer.

Mentor AI

Mentor AI is RizeTrade's AI-powered post-trade coaching tool. After each session it walks the trader through a guided review — structured questions on decisions, emotions, and rule adherence.

Mentor AI automatically extracts emotions experienced, rule adherence per trade, setup quality, and key takeaways. It auto-populates tags, compliance scores, and journal entries — eliminating manual tagging and the blank-page problem that kills journaling habits.


Analytics and Reports

50+ auto-built reports. No formulas, no pivot tables.

  • Time-of-Day — P&L by day of week and 15-minute block. Pinpoints which hours make money and which drain the account.
  • Symbol and Instrument — Win rate and P&L by ticker. Reveals where the trader actually has edge.
  • Strategy — Side-by-side playbook comparison with real performance data. Stops strategy-hopping.
  • Tag-Based — Auto-generated report per custom tag. Shows the dollar cost of revenge trading, poor sleep, or any tracked variable.
  • Risk and Position Size — How sizing affects win rate and P&L. Finds the sweet spot before scaling up blindly.
  • Trade Duration — Performance by hold time. Reveals whether trades are held too long or cut too short.
  • MAE/MFE — Maximum adverse and favorable excursion per trade.
  • Exit Efficiency — Actual profit captured vs. maximum available.
  • Commission and Fee Tracking — True net P&L after all costs.

Display modes: Dollar · Percentage · R-Multiple · Ticks · Privacy Mode.


Journaling and Daily Structure

Daily Journal — Structured templates with pre-built prompts. Captures trade reasoning in seconds, removes the blank-page problem.

Premarket Prep — If/then scenario planning templates replace reactive trading with a structured session plan.

Notebook — Folders for weekly recaps, monthly reviews, trading plans, goals, and watchlists.

Missed Trade Tracking — Log setups seen but not taken. Processes phantom trades constructively instead of letting them trigger FOMO entries.

Voice Notes — Audio recordings attached to trades for in-the-moment reflections.

Attachments — Screenshots, videos, and chart annotations per trade, in one place.


RizeTrade starts at $24/month. 7-day free trial. 30-day money-back guarantee. Cancel anytime.

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Information

  • Publisher
    RizeTrade Trading Journal
  • Websiterizetrade.com
  • Published date2026/06/26

Categories

  • Finance
  • Business Analytics
  • Productivity

Tags

  • Web
  • Professional
  • Paid
  • English Supported
  • Beginner
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