AI-powered forecasts•Confidence scoring•Transparent backtests
AI-powered market forecasts with calibrated confidence
Nordict uses multiple AI models trained on historical market data to generate probabilistic price forecasts across multiple time horizons, tracked and evaluated with walk-forward backtesting.
ML-driven models
Trained on historical data and evaluated out-of-sample.
Confidence bands
Uncertainty is explicit, not hidden.
Walk-forward evaluation
Backtests designed to avoid leakage.
Supported markets
More assets and FX pairs coming soon.
Rigor you can verify
Built for transparent evaluation, not hype.
Forecasts are only useful when uncertainty is measurable.
Nordict emphasizes validation, calibration, and traceability so you can interpret signals with context, and audit results over time.
Walk-forward backtests
Designed to reduce leakage
Calibrated confidence
Bands mean something
Model versioning
Compare releases over time
Transparent metrics
Performance you can verify
Problem → Solution
Markets are noisy
Point predictions hide uncertainty. Backtests are often optimistic. Performance is rarely tracked once models go live.
- Overfitting disguised as accuracy
- No visibility into uncertainty
- Backtests that don't reflect live conditions
We model uncertainty explicitly
Nordict produces probabilistic forecasts across multiple horizons and tracks performance using walk-forward evaluation.
- Confidence bands instead of single outcomes
- Multi-horizon forecasts for context
- Versioned models with live performance tracking
Core features
Everything is built around confidence and verification.
Forecasts are paired with uncertainty, performance tracking, and an auditable model lifecycle, so signals stay accountable.
Multi-horizon forecasts
Switch between intraday and longer horizons to match your decision window.
Confidence scoring
Calibrated bands and probabilities so uncertainty is explicit and usable.
Backtesting & performance
Walk-forward evaluation with metrics you can audit over time.
Alerts & signals
Get notified on threshold moves, regime shifts, or confidence changes.
API access
Programmatic access to forecasts, history, and model metadata (coming soon).
Product preview
See forecasts, confidence, and performance in one place.
Interactive panels let you switch horizons, inspect uncertainty, and track how models perform over time.
All visuals shown use illustrative data.
How it works
A simple workflow, designed for real-world evaluation.
Nordict separates ingestion, training, and serving so the web app stays fast while model workloads scale independently.
Ingest & normalize data
Fetch market data, validate inputs, and store clean time-series for training and evaluation.
Train & version models
Run walk-forward training and evaluation, store model artifacts, and record metadata for auditability.
Serve forecasts & track performance
Generate multi-horizon predictions with confidence scoring and continuously monitor live results.
Methodology highlights
Designed for statistical rigor and transparency.
Forecasts are only as useful as the evaluation behind them. Each model is trained, validated, and monitored with explicit safeguards.
Walk-forward validation
Models are evaluated sequentially to better reflect live deployment conditions.
Leakage prevention
Strict separation of training, validation, and test windows.
Confidence calibration
Probabilities are evaluated so confidence bands remain meaningful.
Regime-aware evaluation
Performance is inspected across different market conditions.
Use cases
Built for different decision styles.
The same forecasting engine adapts to how individuals and teams make decisions without changing the underlying rigor.
Traders
Use short- and medium-horizon forecasts with confidence bands to improve timing and manage risk.
- Intraday to multi-day horizons
- Confidence-aware entries & exits
- Alert-driven monitoring
Investors
Frame longer-term direction and downside risk with probabilistic scenarios and regime context.
- Weekly horizons & trend context
- Downside-aware confidence
- Backtested performance views
Teams
Coming soonShare forecasts, track versions, and integrate via API for research and production workflows.
- Shared dashboards
- Model version comparisons
- API & exports (coming)
FAQ
Common questions, answered clearly.
Transparency matters. If you have additional questions, feel free to reach out.