Founder · CEO
PnL App
PnL App is a behavioral analytics platform that helps traders identify and correct the psychological patterns behind their losses. Using AI-powered journaling and real-time pattern recognition, the system flags destructive behaviors like revenge trading and emotional sizing before they happen. The platform's AI assistant, Pnlee, learns each user's trading habits to deliver personalized behavioral nudges.
- Artificial Intelligence
- Data & Analytics
- Financial Technology
- Software Only
Updated 2 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
95% of traders lose money, and the root cause is rarely a lack of market knowledge or strategy. Instead, emotional and psychological states—such as revenge trading, FOMO entries, and overconfidence—drive impulsive decisions that undermine consistent profitability. Most trading tools focus on charts and signals, leaving the behavioral dimension unaddressed.
Solution
PnL App transforms trading into a practice of self-mastery by combining behavioral science with artificial intelligence. The platform automatically journals every trade, capturing emotional context, market conditions, and decision-making patterns in a structured format. Its AI assistant, Pnlee, studies each user's behavior—from time of day to emotional notes—and delivers precise, personalized nudges that help traders recognize and avoid destructive patterns before they act. The system provides a mirror for the trader's mindset, turning every trade into feedback that builds discipline and long-term confidence rather than just tracking profit and loss.
Target Audience
Primary users are retail and active traders who have a working strategy but struggle with emotional discipline and consistency, as well as trading coaches and educators seeking behavioral analytics tools for their clients.
Features
- Auto journaling that captures emotion, market context, and decisions for every trade without manual data entry
- AI-powered insights from Pnlee that learn individual behavioral patterns and deliver increasingly precise nudges over time
- Real-time pattern detection for destructive behaviors including revenge trading, FOMO entries, emotional sizing, overconfidence, late-night trading, and moving stops
- Behavioral science framework that structures trading as a four-stage process: capture, understand, control, and grow
- 24/7 AI learning that continuously analyzes trading patterns to identify impulsive tendencies by design