Trading Script Workflow

Understand how our trading scripts load data, compute indicators, detect events, and generate actionable signals.

How the Trading Script Works

The script retrieves historical market data from APIs or CSV sources and normalizes it into a consistent format for reliable analysis.

Moving averages, slopes, volatility metrics, and custom indicators are computed to track trends and potential market shifts.

Crossovers, direction changes, and predefined conditions are detected as market events that highlight potential trading opportunities.

Each event is scored using trend strength, probability, and market context, prioritizing high-quality signals for execution.

The system continuously monitors market data and records events in real time. Alerts are generated when predefined conditions are met.

Instantly detect price movements, indicator crossovers, and volatility spikes, with alerts ranked by priority.

Review past signals to evaluate strategy performance, validate logic, and identify recurring market patterns.

Define custom events using any combination of indicators to explore alternative strategies and scenarios.

Stockutils provides modular, reusable functions for data loading, indicator computation, event detection, and signal scoring across multiple scripts.

Fetch and normalize market data from multiple sources with consistent structure and robust error handling.

Compute moving averages, slopes, volatility, and custom metrics across multiple timeframes.

Convert detected events into structured signals with scoring and context-aware ranking.

Test the trading script with historical data in our interactive simulator and observe the workflow in action.