Regime classification
Each instrument is classified as Trending, Ranging, Risk-Off, or Crisis, so you can see at a glance which playbook the current tape actually rewards rather than assuming yesterday’s conditions still hold.
The problem
The same setup behaves differently by regime
A breakout that works in a trending tape gets chopped up in a ranging one, and a mean-reversion idea that prints all week can be run over the moment volatility spikes into risk-off. The setup did not change — the regime did.
Intel Core Strata surfaces the prevailing regime and how it is propagating across asset classes, with the volatility and cross-asset context behind it. It is decision support for your own process — it does not tell you what to trade, and it does not place trades.
What you actually get
Capabilities, described honestly
Volatility-aware context
Regime reads incorporate volatility conditions (including VIX context) and heat/correlation signals, so a calm trend and a fragile, shock-prone one are not treated as the same thing.
Cross-asset regime map
A visual map shows regime states across asset classes and how a shift in one corner of the market — rates, volatility, crypto — is propagating into the others.
Session kill-zones
London, New York, and Tokyo session timing with the overlap windows highlighted, so you can weigh a regime read against when liquidity actually shows up.
Portfolio Manager context
A Trade / Caution / Avoid read, smoothed so it responds to genuine regime shifts rather than noise. It is framing for your own judgement, not an order to act.
The news behind the shift
50+ news sources, tiered by impact and scored by language models, tie a regime change back to the macro or headline catalyst that is driving it.
Methodology & trust
How the reads are built — and checked
Regime is derived from market data — trend, volatility, correlation, and cross-asset behaviour — and refreshed updated approximately every 60 seconds. It is presented alongside each bias read so you can see the conditions the read was made under.
The directional bias calls that sit on top of the regime view are timestamped and settled against the market in the Public Signal Ledger, with wins and losses counted in the open. We do not publish an aggregate accuracy or return figure for the regime engine or anything else — you inspect the underlying calls instead.
All of this is research and analytical tooling to inform your own decisions. Intel Core Strata is not a broker, investment adviser, or fund; it cannot place orders; and its regime and bias classifications can be wrong.
FAQ
Questions, answered plainly
What regimes does it detect?
Instruments are classified as Trending, Ranging, Risk-Off, or Crisis, with the volatility and cross-asset context that informs the classification shown alongside it.
Does it decide trades for me?
No. The regime view is decision support — context for your own process. The platform does not place trades or connect to a broker or exchange, and its classifications can be wrong.
How often does the regime update?
The regime read and its market data are updated approximately every 60 seconds.
Can I check how the reads turn out?
Yes. The directional bias calls layered on the regime view are published and settled against the market in the Public Signal Ledger, with wins and losses both counted.
What does access cost?
Pro is $49/month and Enterprise is $199/month, each with a 7-day free trial. The trial requires a card and converts automatically unless cancelled; Enterprise adds one read-only tactical REST endpoint, rate-limited.
Look at the evidence, then decide
Start a paper-trading and research workspace, or read the published calls and their settled outcomes first — including the losses.
Regime and bias classifications are research inputs for your own decisions — not personalised investment advice — and can be wrong. Trading involves risk of loss.
Important disclosure
- Intel Core Strata provides research and analytical tools.
- It is not a broker, investment adviser, or investment fund.
- Information provided is not personalised investment advice.
- Signals, models, and classifications can be wrong.
- Past or simulated observations do not guarantee future outcomes.
- You remain responsible for your own investment decisions.
Trading involves risk of loss.