Zmarty is a data and analysis platform built on top of live market inputs. It aggregates price structure, liquidation pressure, risk metrics, technical indicators, sentiment, pattern detection, and member tooling into one environment. Then it adds the missing layer: LLM-assisted interpretation that turns raw feeds into readable probability-based context.
The product is built for one practical problem: raw charts and disconnected feeds do not tell users enough. Zmarty combines data collection, interpretation, member access, and API usage into one intelligence surface.
Pricing is high on the page because Zmarty is both a member product and an API product. Free is for review and evaluation. Gold is for practical day-to-day usage. Premium is for broader access and product-facing workflows.
Review the product, enter the member zone, and understand how Zmarty organizes market intelligence before moving into a paid tier.
The practical member tier for real daily usage. It is the best fit for users who want the private analysis environment and structured market context.
Designed for heavier usage, deeper product access, and protected API workflows for builders, researchers, and advanced operators.
Zmarty is not one chart and one score. It combines multiple analytical layers so users can understand what is happening, where pressure is building, how risk is changing, and what the probability structure looks like right now.
Zmarty uses risk metrics to describe exposure, volatility pressure, stop distance, and scenario quality. The point is not to tell users what to do, but to help them understand how fragile or stable the current market environment is.
Liquidation clusters show where leveraged positioning is concentrated. Those zones matter because they often become squeeze triggers, acceleration zones, or reaction areas when price starts moving through crowded leverage.
Zmarty does not treat indicators as isolated trading tricks. It uses them as structured inputs inside a wider scoring and interpretation system so the user gets context instead of disconnected chart noise.
Patterns, sentiment, and structure are useful when they are read together. Zmarty uses them to describe whether conditions are strengthening, weakening, or becoming unstable in real time.
The dashboard combines scoring, chart structure, liquidation pressure, member state, and narrative interpretation into one place, so the user does not need five tools to read one market situation.
Zmarty is not only a dashboard. It is also a data product. Paid members can use protected API access in dashboards, bots, research pipelines, alerts, and client-facing workflows.
Many products have data. The differentiator is interpretation. Zmarty uses an analysis layer to connect metrics into a readable market narrative, so users move from inputs to meaning instead of staring at disconnected numbers.
Raw numbers do not explain themselves. The LLM layer turns multiple inputs into readable market context.
Users need probability and scenario framing, not disconnected tables.
The chat layer matters because it explains why a score changed, what pressure is building, and how the inputs relate to each other.
The platform is useful when the user needs to understand the market quickly, build on top of structured data, or operate a member workflow around protected intelligence access.
Use Zmarty to read market structure, risk, liquidation pressure, technical state, and sentiment in one environment instead of rebuilding the picture manually.
Use the paid API tiers when you need structured market intelligence inside products, automations, internal dashboards, or member workflows.
Use the member platform to manage access, billing, API keys, and upgrades inside one protected flow rather than a fragmented stack.
