From Highly Regulated Banking Domain
to 150+ Trading Solutions

Professional trading groups needed to monitor 4 distinct market conditions (Trend, Volume, Volatility, Key Levels) across multiple timeframes simultaneously. Standard charts were cluttered, making rapid decision-making inefficient.

I structured requirements to categorize essential data, designed a high-density tabular UI wireframe, and implemented 'at-a-glance' logic. The solution condenses 20+ data points (including Regression Channels, Dollar Normalized Volume, and Gann Grids) into a single, clean panel.

Delivered a 'Pro Dashboard' utility that reduces daily analysis time by ~40%. It became the central tool for the client's morning routine, allowing for immediate assessment of market conditions without switching charts.

Traders in the Malaysian market struggled to spot early sector rotation. Existing tools lacked the specific capability to detect 'abnormal movements' or outliers that signal the start of a trend.

I defined a statistical model ('Sigma Spikes') using standard deviation of returns to flag anomalies. I then engineered a screener to monitor 13 key sector indices simultaneously, overcoming execution limits by optimizing data queries.

Selected as a TradingView Editor's Pick. The tool empowers traders to instantly visualize capital flow, becoming a staple for spotting sector breakouts early.

Inconsistent volatility often creates noise, making it difficult for traders to distinguish between a true trend reversal and temporary price fluctuations.

I developed a multi-layered channel system using advanced smoothing algorithms (Ehlers' SuperSmoother and Gaussian filters). This creates a stable 'mean' and dynamic outer bands that visually separate noise from significant overextended moves.

Selected as a TradingView Editor's Pick. It serves as a reliable visual aid for decision-making, helping traders objectively identify overbought/oversold conditions with greater confidence.