Elliott Wave Analytics Engine
A rules-driven Elliott Wave and market-structure engine, delivered as TradingView and MetaTrader 5 indicators from one machine-readable specification.
The challenge
Elliott Wave analysis is usually subjective: two analysts label the same chart differently, and indicators that claim to find waves rarely explain why. Traders who use both TradingView and MetaTrader 5 also face two languages and two runtimes, so the same rules drift apart over time.
What we built
Our team engineered an analytics engine that recognises Elliott Wave structures by explicit, testable rules: for example, wave 2 may not fully retrace wave 1, and wave 4 may not overlap wave 1. The rules live in one machine-readable specification, from which the written rulebook and the indicator logic for TradingView and MetaTrader 5 are kept in step. The indicators are analysis-only: they never place, modify or close orders.
How it works
- A canonical, machine-readable rule specification as the single source of truth, with a resolver that generates the human-readable rulebook
- Pivots confirmed on closed candles only, so labels never repaint after the fact
- Evidence-weighted confidence capped at 100: a pattern that fails any hard structural rule scores zero, however close the Fibonacci ratios
- The same logic shipped as TradingView (Pine Script v6) libraries and indicators and as a MetaTrader 5 (MQL5) indicator, verified by automated tests and checksummed releases
- A research track for AI-assisted review: an AI may propose a short-lived plan, an independent safety compiler validates it, and execution stays confined to demo and test accounts
Key capabilities
- Rule-based Elliott Wave recognition
- Market-structure and zone mapping
- Evidence-weighted confidence scoring
- TradingView and MetaTrader 5 delivery from one specification
- Specification-driven tests and versioned releases
- AI review behind a safety compiler (research)
How the pieces fit together.
A simplified view of the main components and how data moves between them.
The product in use.
An illustrative workspace and figures generated by the engine from synthetic price data.
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