Every module built for one purpose: clearer decisions, faster.
Ironvalyx combines market data processing, pattern detection, and strategy tooling into a single workspace for day traders and analysts who need signal without the noise.
A toolkit built around the trading day, not around slides.
Each feature below is designed to remove a specific point of friction in analysis — from data ingestion to execution review.
-
Real-Time Data Streams
Live price, volume, and order flow feeds consolidated into one view, reducing the need to juggle multiple terminals or tabs during active sessions.
-
Pattern Recognition Engine
Automated scanning for recurring technical formations across configured watchlists, surfaced as alerts rather than buried in manual chart review.
-
Scenario Modelling
Build and compare hypothetical positions against historical and simulated conditions before committing capital, with adjustable risk parameters.
-
Custom Alert Rules
Define thresholds on price, volatility, or indicator values and receive notifications the moment conditions are met, so attention stays on decisions, not monitoring.
-
Strategy Journal
A structured log for recording trade rationale, outcomes, and adjustments — built to support review and refinement over time rather than guesswork.
-
Multi-Asset Coverage
Equities, indices, FX pairs, and select derivatives are tracked within the same interface, avoiding the context-switching cost of separate platforms.
Built on structured data, not shortcuts.
Ironvalyx's modelling approach draws on historical price behaviour, volatility measures, and order flow data to generate context around market movement. Outputs are presented as structured insight — ranges, probabilities, and flagged conditions — rather than unexplained signals.
The goal is to support the analyst's own judgement, not replace it. Every output is traceable back to the data and parameters that produced it, so decisions remain auditable after the fact.
How the features fit into a trading session.
From pre-market preparation to post-trade review, each feature is positioned to support a specific stage of the workflow.
Pre-Market Scan
Watchlists are reviewed against overnight data and flagged for conditions matching configured alert rules before the session opens.
Live Monitoring
Real-time streams and the pattern recognition engine run continuously, surfacing developments without requiring constant manual checking.
Scenario Review
Before entering a position, scenario modelling is used to weigh outcomes under different assumptions and risk tolerances.
Post-Trade Logging
Trade rationale and results are recorded in the strategy journal, forming a record that feeds future scenario comparisons.
Features designed with discipline in mind.
Analytical tools are only useful when paired with safeguards that keep usage consistent and risk-aware.
Alert Thresholds
Rules are explicit and editable, avoiding silent or opaque triggers.
Risk Parameters
Scenario modelling requires defined risk inputs before results are generated.
Logged History
Every journal entry is timestamped and preserved for later review.
Transparent Outputs
Model outputs reference the underlying data used, rather than presenting unexplained conclusions.