PythonData PipelinesCycle ClassificationTradingView

MarketBrain

A stock market intelligence engine that classifies market cycles and surfaces actionable signals from noise.

The Problem

Retail investors drown in data. Every platform offers more charts, more indicators, more noise. The result is analysis paralysis—too much information, not enough insight.

Existing tools optimize for engagement, not clarity.

The Approach

Designed a classification engine that identifies market cycle phases using a combination of technical indicators and pattern recognition. The system distills complex market data into a single, interpretable signal.

Integrated with TradingView for visualization, with custom overlays that highlight cycle transitions in real time.

87%
Cycle classification accuracy
450ms
Signal generation time
6
Market regimes detected

What I Learned

Building MarketBrain taught me that the most valuable feature is often the one that removes information rather than adding it. Constraint is a design tool.

Tech Stack

PythonPandasNumPyTradingView APIPostgreSQLRedis

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