About This Project
I designed and built a personal trading intelligence platform from the ground up. Most traders lose money because of bad habits they can't see — they trade on emotion, repeat mistakes, and have no structured way to review their performance. TradeMinds doesn't just log trades — it learns from your trading behavior and gives you AI-generated insights to become a better, more disciplined trader.
What I Built
Key Highlights
AI Monthly Performance Coach
At the end of each month, the AI analyzes your entire trading history — wins, losses, emotions, and patterns — and generates a personalized coaching report identifying psychological blind spots like revenge trading, fear-based exits, and overconfidence.
AI Market Sentiment Analysis
Automatically pulls official Commitment of Traders data for major indices like S&P 500 and NASDAQ. The AI interprets institutional positioning and tells you in plain language whether big money is bullish, bearish, or neutral — with confidence levels and 6-month trend charts.
Smart Trade Journal
Log trades with rich detail — entry/exit prices, P&L, risk metrics, screenshots, and notes. Tag your emotional state during each trade and link it to your playbook rules. Over time, this reveals which emotions and habits drive your best and worst trades.
Daily Journal & Emotion Tracking
A calendar-based journal for pre-market analysis, trading plans, key levels, and post-session reviews. Each entry tracks your emotional state and lets you grade your session — turning trading into a structured, reviewable process.
Playbook & Discipline System
Create structured trading strategies with specific rules. When logging a trade, select which playbook you followed and check off which rules you stuck to — creating accountability and measuring how disciplined you really are.
Prop Firm Compliance Checker
Upload your trade history and the system analyzes whether your account meets payout requirements of proprietary trading firms — checking trade duration rules and giving you a clear Pass/Fail verdict with detailed breakdowns.
Screenshots
See It In Action
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