Historical chart replay data for major markets
// Platform architecture
Research, simulate, refine, and deploy with one workflow.
The platform is built to reduce workflow friction so you can analyze macro context, stress test strategy logic, and compare outcomes without context switching.
- Fundamental analysis modules spanning growth, inflation, labor, rates, sentiment, and COT positioning
- A simulated replay trading environment for execution logic and strategy testing
- 30+ technical indicators for comprehensive market analysis
- Historical chart replay data for long-range strategy behavior analysis
- A technical suite for model analysis, performance statistics, and scenario testing
Technical suites for validation and optimization
Fundamental and COT datasets available
// Fundamental analysis
Multi-layer context from macro to positioning.
Evaluate growth, inflation, labor, government debt, rates, sentiment, and COT flows in one place so macro regime shifts are visible before they hit your strategy.
Economic Data Hub
Track GDP, CPI, PMIs, labor, and interest rates with data that can be filtered and aligned to your backtest windows.
Sentiment Layers
Blend Investor, and Institutional positioning data with macro signals to evaluate risk appetite and crowd behavior.
Institutional Positioning
Use COT history to assess non-commercial positioning pressure and monitor long-horizon directional bias.
Cross-Region Breadth
Compare data across the US, UK, Europe, Japan, China, Australia, and New Zealand to detect divergence.
// Fundamental graph stack
Macro regimes visualized in one glance.
See the changes of historical economic data in real time to help you align signals with market structure.
Growth Momentum
GDP QoQInflation Pressure
CPI YoYLabor Shift
Unemployment// Simulated trading environment
Test execution decisions before committing capital.
Replay strategy logic
Run entries, exits, and risk rules in a controlled environment to validate behavior across changing market regimes.
Stress risk assumptions
Use Monte Carlo and walk-forward simulations to pressure-test position sizing, volatility handling, and drawdown resilience.
Compare outcomes at scale
Evaluate multiple strategy variants side-by-side to identify robust configurations rather than one-off overfit results.
// Monte Carlo simulation
Test distribution paths to validate strategy resilience.
Preview how portfolio outcomes diverge under randomized return paths so you can inspect tail-risk and stability before running live.
// Data and technical suite
Deep history plus analytical tooling for serious validation.
The technical suite is designed to move from raw strategy output to statistical confidence through repeatable, structured analysis.
Historical Fundamental Data
The backbone of economics. Plan-based historical depth extends from 10+ years for macro analysis [further back-data expansions already in progress], helping you evaluate multiple market cycles.
Statistics Bay
Review strategy statistics, performance metrics, and multi-strategy comparisons in a dedicated analytics workspace.
Model analysis tools
Use risk-adjusted analysis and cross-validation modules to test model stability and detect weak assumptions before deploying real capital.
Strategy simulators
Run Monte Carlo and walk-forward simulators to inspect robustness under distribution shifts, sequencing risk, and noise.
// Ready to build?
Explore the full workflow in your own account.
Create your profile, pick a plan, and start validating strategy ideas with macro context, simulation, and technical analysis tools.
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