Markets
Volatility regimes, cross-asset stress, and short-horizon directional probabilities for equities, FX, rates, and commodities.
→ Live signalsPredictive intelligence
Signals before the
market moves
Probabilistic forecasts across markets, talent risk, and operational capacity, delivered as clear, charted intelligence.
Planetary movements and cycles feed the model as one signal among many, cross-checked, never taken on faith.
LIVE SIGNAL · EQUITY VOLATILITY
Forecast
Confidence
Actual
Verticals
Where the signal matters
The same underlying models adapt to different domains: always probabilistic, always charted, never deterministic. We share the results, not the model. The method and underlying data stay ours; what you integrate is the score.
Talent risk
Attrition probability, team capacity forecasts, and early indicators of organizational strain, opt-in and privacy-first.
→ HR modulesOperations & power
Demand surges, supply friction, grid load, and power-price forecasts that help teams plan instead of react.
→ Capacity & power modelsCoverage runs deeper than headline commodities. Beyond oil and precious metals, our models extend into food and agricultural staples: rice, wheat, sugar, and other FMCG-linked commodities, where seasonal cycles, geopolitical pressure, and harvest-linked volatility move price early, often before conventional models react. We also track equities across biotechnology, biochemistry, agriculture, and industrial chemicals, a band that spans agricultural inputs, food processing, biotech research, and pharmaceuticals, where transit-cycle signals have historically flagged inflection points ahead of standard fundamental coverage. Every one of these feeds into the same dashboard, scored and dated the same way: a signal you can check, not a claim you have to trust.
Method
How the signal is built
Three disciplined stages. No black-box magic; every forecast carries calibrated uncertainty.
01
Ingest & structure
Market data, planetary transit and cycle data, internal signals, and alternative features are cleaned, aligned, and transformed into model-ready tensors.
02
Model & calibrate
Ensemble architectures produce probability distributions. Continuous calibration keeps confidence bands honest.
03
Chart & deliver
You receive the score and confidence behind it, via dashboard or API. The model, the raw data, and the underlying method stay internal; what you get is the result, not the recipe.
Illustrative signals only · Not real-time data · Not investment advice
Ready for clearer signals?
Join the early access list. We'll reach out when your vertical opens.
For pricing and enterprise plans, email bala@astroanaltiks.ai