No black boxes. We believe you should understand how predictions are made before you trust them. Here's the methodology behind Nordict's forecasting engine.
Simplified overview
Data Collection
Multi-source aggregation
Feature Engineering
Signal extraction
Model Ensemble
Multiple model voting
Confidence Scoring
Uncertainty quantification
Forecast Output
Direction + magnitude
Model overview
You don't need a PhD to understand how we work. Here are the key concepts that power our forecasting engine, explained simply.
We don't rely on a single model. Multiple specialized models vote on each forecast, reducing the risk of any one model's blind spots affecting predictions.
Simple analogy
Think of it like getting opinions from multiple experts rather than trusting just one.
Our models are sophisticated, but they're not magic. They identify statistical patterns and quantify probabilities. Markets are inherently uncertain, and no model, ours included can predict the future with certainty. That's why confidence scores matter.
Data sources
Good forecasts require good data. Here's the full picture of what goes into our models.
The foundation of any market analysis. We ingest high-frequency price and volume data across multiple timeframes.
OHLCV candles
1m to 1d resolution
Tick-level data
For volatility analysis
Volume profiles
By exchange and aggregate
Bid-ask spreads
Liquidity indicators
50+
Data sources
200+
Features extracted
5
Data categories
24/7
Data collection
Forecast process
Here's exactly what happens when we generate a forecast—from raw data to actionable signal.
Collect & normalize
Raw data streams in from multiple sources—exchanges, on-chain providers, derivatives platforms. We normalize everything to a consistent format and timestamp.
Validation
Claims are easy. We hold ourselves to rigorous validation standards so you can trust the forecasts.
We test our models against years of historical data, simulating how forecasts would have performed in real market conditions.
Walk-forward analysis with expanding training windows. No future data leakage, models only see data available at forecast time.
2019–2025
Test period
2M+
Data points
50+
Assets tested
Our Performance page shows live accuracy metrics, historical backtests, and confidence calibration data.
Limitations
Honesty about limitations is as important as confidence in strengths. Here's where our models fall short.
Our models learn from historical patterns. Events without precedent, exchange hacks, regulatory surprises, geopolitical shocks, can't be predicted from past data.
Example
The FTX collapse, Terra/Luna crash, or sudden regulatory bans are examples of events no model could have predicted in advance.
Sometimes our models simply don't know. During regime transitions or unusual market conditions, confidence scores drop. Low confidence means low predictability.
Example
When confidence is below 50%, the forecast is barely better than a coin flip. We show this clearly, don't ignore it.
Our shortest horizon is 4 hours. We don't attempt to predict minute-by-minute moves, that's dominated by noise, not signal.
Example
If you're scalping or trading on 1-minute charts, our forecasts won't help. They're designed for 4h+ decision-making.
Illiquid assets with thin order books behave differently. A single large order can move price 10% no model predicts that.
Example
We focus on assets with sufficient liquidity and trading history. New tokens or micro-caps aren't in our coverage.
Coordinated pump-and-dumps, wash trading, or spoofing create artificial patterns. Our models can be fooled by bad actors, just like human traders.
Example
If a whale group coordinates a pump on Telegram, our model sees bullish signals, but those signals are artificial.
Our models find statistical patterns, not causal relationships. A pattern that worked for 5 years can stop working without warning if the underlying dynamics change.
Example
Past performance doesn't guarantee future results. This isn't a disclaimer, it's a fundamental truth of statistical modeling.
Being upfront about limitations isn't weakness. It's how we build trust. If we only showed you the wins, you wouldn't have the full picture. Use our forecasts as one input among many, not as the sole basis for decisions.
Now that you understand how it works, try it yourself. Start with a 7-day free trial of Premium.