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ELLIOTTISTA INSTITUTIONAL

Institutional-grade market research for professional decisions

  • Research across a client-defined basket of assets, scalable up to Elliottista’s full monitored universe, enabling deeper and continuous analysis over time.
  • Chart-based analysis with concise written summaries, featuring clearly labeled Elliott Wave structures that map market behavior across assets, sectors, and timeframes.
  • Primary and alternative scenarios presented for each analysis, outlining potential market paths and their implications.
  • AI-assisted insights reviewed by experienced market analysts, ensuring methodological consistency, contextual judgment, and quality control.
  • Flexible, token-based, client-directed allocation of research capacity, allowing depth to be applied where it matters most.
  • Client-selected reporting frequency, aligned with internal workflows and decision cycles.

USD 1,900 per month, billed quarterly (USD 5,700 per quarter), includes:


  • 5,520 research tokens per month, allocated through a flexible, client-directed, token-based research capacity model.
  • Multi-asset coverage across cryptocurrencies, FX, commodities, equities, and macro indices.
  • Priority institutional delivery and support, including research scheduling and request handling.
  • Secure access for institutional users, with role-based controls as applicable.
  • Included research tokens reset monthly and do not accumulate.

Institutions may expand their research capacity by purchasing additional research token packs:

  • Available pack sizes: 1,500, 3,500, and 7,000 research tokens.
  • Flexible, on-demand capacity expansion, allowing institutions to scale research output during periods of heightened market activity or elevated internal demand.
  • Accumulative usage: Additional token packs do not reset monthly and may be carried forward until fully consumed.
  • Shared allocation: Tokens from additional packs are pooled across authorized institutional users, unless otherwise requested.
  • Consumed only when research is produced or scheduled, ensuring efficient and transparent use of research capacity.
  • Designed for variability: Intended to complement the Core Institutional Plan when research needs temporarily exceed included monthly capacity.

Always On™ Research Token Packs provide dedicated research capacity for periods when markets remain active outside standard reporting schedules, including weekends and U.S. holidays.

  • Purpose-built capacity: Tokens are used exclusively for research scheduled or delivered on weekends and U.S. holidays.
  • Pack size: Sold in 2,000-token increments.
  • Accumulative usage: Always On™ token packs do not reset and may be carried forward until fully consumed.
  • Separate allocation: Always On™ tokens are tracked independently from standard research tokens to ensure clear accounting and prioritization.
  • Consumed only when research is produced or scheduled during eligible periods.
  • Optional enhancement: Designed for institutions that require continuous coverage during market-sensitive periods, event risk, or global trading hours.

Extended Capabilities cover non-standard or expanded institutional requirements that go beyond the Core Institutional Plan and token packs.

  • Custom institutional configurations, including API access, data integrations, and delivery into internal systems or workflows.
  • Expanded access and user configurations, such as additional authorized users, role-based permissions, or custom access controls.
  • Advanced delivery options, including bespoke reporting formats, structured data feeds, or tailored distribution mechanisms.
  • Workflow and system integration, enabling Elliottista research to be embedded directly into proprietary tools, dashboards, or research environments.
  • Custom research arrangements, including specialized methodologies, bespoke asset universes, or non-standard analytical frameworks, subject to feasibility.
  • Quoted separately: extended Capabilities are scoped and priced on a custom basis, reflecting technical complexity, implementation effort, and ongoing support requirements.
  • Designed for scale: intended for institutions with advanced operational, integration, or governance needs. 


Institutions requiring Extended Capabilities may request a custom quote at institutional@elliottista.com.

A research token is a unit of analytical capacity used to allocate Elliottista’s resources, combining analyst time, computational processing, and delivery infrastructure.


Roughly — and in many cases — one research token corresponds to a single analysis, such as a chart and its accompanying explanation for a specific asset at a given point in time.


Importantly, this is an approximation, not a fixed rule.


Tokens are used to request, schedule, and prioritize research work, rather than to purchase fixed reports.


Your token allocation and usage statistics are updated daily in your dashboard.


Research tokens may be allocated to:

  • Asset coverage expansion
  • Deeper or alternative scenario construction
  • Higher-frequency updates
  • Custom timeframes or market structures
  • Cross-asset or correlation analysis
  • Event-driven or ad-hoc research requests


Institutions decide where and how depth is applied.


What research tokens are not

  • Not individual reports
  • Not tied to a single asset or timeframe
  • Not a measure of analyst hours
  • Not a usage-based trading metric


They represent capacity, not output volume.


How tokens behave

  • Included tokens reset monthly and do not accumulate
  • Additional token packs accumulate and roll forward
  • Tokens are consumed only when research is produced or scheduled
  • Always On™ tokens apply exclusively to weekends and U.S. holidays


Why we use this model

Market research demand is non-linear. Volatility, macro events, and regime shifts create sudden needs for depth.


As with many AI-driven research and computation platforms (such as OpenAI, Google Cloud, Microsoft Azure and other large-scale analytical systems), Elliottista uses a token-based capacity model to allocate finite analytical and computational resources efficiently, based on client needs and research requests.


The token model allows institutions to:

  • Scale research when it matters
  • Reduce waste when it doesn’t
  • Maintain predictable baseline costs


You don’t buy reports. You allocate research capacity.