Machine learning for market scenarios

Forecast engines that explain probabilities, drivers, and risk.

Intrade Club applies AI to market research by combining statistical models, feature pipelines, historical analogues, and natural-language summaries. The product focuses on scenario planning, not unrealistic certainty.

Model layer

Signals become useful when they are interpretable.

Forecasts are packaged with confidence ranges, market context, and feature attribution so analysts can understand why a scenario was produced.

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Short-term Forecasts

Intraday and 24-hour scenarios for fast-moving conditions, anomaly alerts, and volatility monitoring.

7D

Weekly Regimes

Trend, range, liquidity, and sentiment regimes for tactical planning and research brief generation.

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Monthly Context

Medium-term market outlooks based on macro catalysts, historical analogues, and cross-asset behavior.

AI workflow

How the forecasting pipeline works.

01

Collect

Gather exchange, derivatives, on-chain, macro, news, and sentiment data from trusted sources.

02

Transform

Build model-ready features such as volatility bands, funding stress, liquidity gaps, and sentiment momentum.

03

Score

Evaluate probabilistic scenarios and compare current conditions against historical market regimes.

04

Explain

Convert model output into readable research summaries with drivers, assumptions, and risk notes.