AI-Powered Trading Indicator Development for TradingView

PipTrend is a cutting-edge trading indicator built for the TradingView platform, designed to support traders across all markets—forex, crypto, and stocks—with advanced AI-driven insights. By blending technical precision with a clean, informative interface, PipTrend empowers users to spot market trends, detect liquidity zones, and receive real-time alerts with confidence. It’s tailored for traders who want to simplify decision-making and improve their win rate without getting lost in noise.

AI-powered Buy & Sell Signals – Smart algorithms identify high-probability entry and exit points.

Visual Trend Detection – Instantly understand market direction and strength with clear graphical overlays.

Session Killzones & Liquidity Zones – Automatically highlight institutional trading windows and price magnet areas.

Multi-Timeframe Signal Table – Displays the signal status of 11 timeframes at once, updating live with strength analysis.

Real-Time Alerts – Custom alerts and Pine Script function calls allow users to receive continuous updates without delay.

Precision Customization – Traders can fine-tune the methods they prefer and combine strategies to match their unique trading style.

One major challenge was generating accurate signals in real-time while filtering out market manipulation and false moves. To solve this, I combined AI logic with strict conditions and multi-timeframe confirmations. Another challenge was displaying data from 11 timeframes simultaneously in an efficient and user-friendly table—achieved through optimized Pine Script logic and custom visual layering. As I started without prior Pine Script knowledge, I had to rapidly master the language to achieve professional-grade performance and design.

2–3 months for development and refinement 6+ months of continuous live testing and optimization with real market conditions

The first version of PipTrend is live and gaining early traction in the market. Traders have started using and testing the tool in their own strategies, providing valuable feedback that is actively shaping ongoing improvements. The project has laid a solid foundation for scalable upgrades, broader adoption, and future commercial success.

As the solo developer, I designed, coded, tested, and refined every part of the PipTrend indicator. I brought unique value by combining deep market understanding with rapid learning of Pine Script and applying AI logic for actionable signals. My focus on simplicity, clean UX, and performance ensures that traders of all levels can rely on PipTrend for smarter decisions and faster reactions in fast-moving markets.