Trading Script Workflow
Understand how our trading scripts load data, compute indicators, detect events, and generate actionable signals in a structured, professional workflow.
How the Trading Script Works
1
Load Historical Data
Retrieve and normalize market data from APIs or CSVs for reliable, consistent analysis.
2
Compute Indicators
Compute moving averages, volatility, slopes, and custom metrics to track trends.
3
Detect Events
Identify crossovers and predefined conditions to flag market opportunities.
4
Score & Context
Score each event with trend strength, probability, and context to prioritize signals.
Events & Alerts
Real-Time Alerts
Detect price movements, indicator crossovers, and volatility spikes instantly,
with alerts ranked by priority.
Historical Event Analysis
Review past signals to evaluate strategy performance, validate logic,
and identify recurring market patterns.
Custom Event Config
Define custom events using any combination of indicators to explore
alternative strategies and scenarios.
Stockutils Functions
Data Loader
Fetch and normalize market data from multiple sources with consistent
structure and robust error handling.
Indicator Calculator
Compute moving averages, slopes, volatility, and custom metrics across
multiple timeframes.
Signal Generator
Convert detected events into structured signals with scoring and
context-aware ranking.
Design Principles
- Rule-based, deterministic workflow
- Clear separation of data, analysis, and signal logic
- Traceable & auditable outputs
- Reusable components across strategies
- Flexible architecture for extensions
- Optimized for backtesting & live execution
Experience the Workflow Yourself
Test the trading script with historical data in our interactive simulator and see it in action.
Open Simulator