Product Boundary
Does Expreci provide investment advice or trading recommendations?
No. All Expreci analytics are views and simulations for information, research, and decision support only. Expreci does not provide investment advice or trading recommendations, and every decision remains with the user. Review the product boundary.
Is Expreci a portfolio management or execution platform?
No. Expreci does not execute trades, manage portfolios, or provide custody. Its product boundary is data infrastructure and analytical views for event contract portfolios. Read about the analytics boundary.
Is Expreci a live production data service today?
No. Expreci is currently in Beta stage and does not claim live production data coverage, uptime, completeness guarantees, or production service levels. See current limitations.
Data Layer
What kind of Polymarket data is Expreci designed for?
Expreci is designed for sequence aware L2 and L3 style Polymarket order book data, with a focus on deterministic reconstruction rather than simple data dumps. The intended scope includes historical order book archives and a real time streaming direction, with source events, snapshots, gaps, and reconstruction metadata retained together. Explore the data layer.
What does deterministic order book reconstruction mean?
Deterministic order book reconstruction means that identical source inputs processed by the same reconstruction engine version should produce the same book state. Expreci preserves source sequence, applies documented tie breakers, and records explicit gaps so that a reconstructed state can be reproduced and audited. Read the reconstruction methodology.
How does Expreci think about gaps and missing data?
Expreci treats gaps as first class data rather than hiding them or filling the last known state forward. A missing sequence interval is recorded explicitly, and reconstructed state is not declared valid across that interval unless recovery is supported by retained events or a validated snapshot. Read the gap handling methodology.
How is this different from typical Polymarket data feeds or scrapers?
Many Polymarket feeds and scrapers expose snapshots or incremental updates without enough ordering and provenance information to reproduce a book state later. Expreci focuses on reconstructable, sequence aware books with source timestamps, receive timestamps, explicit gap records, and a versioned reconstruction engine. Compare the data design.
Analytics Layer
How is Expreci different from a normal Polymarket portfolio or P&L tracker?
A normal tracker typically reports entry cost, current mark, and realized or unrealized profit and loss for individual positions. Expreci is designed for multi contract books whose outcomes can be dependent, mutually exclusive, or staggered in time, with joint scenarios and liquidity aware views across the portfolio. Explore the analytics layer.
What analytics views does Expreci support?
The intended analytics layer supports portfolio exposure, joint scenario evaluation, probability path analysis, hedging strategy analysis, and liquidity aware valuation. These views treat event contracts as binary contingent claims and remain non advisory. Review the analytics views.
Are the scenario or probability path tools predictive?
Yes. Scenarios and probability paths can be inferred or supplied by the user, and the system evaluates the portfolio under those assumptions. An inferred or supplied path is an analytical input, not a guarantee of an outcome or a recommendation to trade. Read about probability path analysis.
Does Expreci optimize portfolios or suggest hedges?
Yes. Expreci can evaluate portfolio configurations and return accounting, exposure, and hedging considerations under stated assumptions. These outputs are for information and research only, not advisory recommendations, and every investment decision remains with the user. Review the non advisory analytics boundary.
Audience & Fit
Who is Expreci built for?
Expreci is built for quantitative trading desks, crypto funds and family offices, market makers and liquidity providers, and sophisticated traders managing multi contract event books. It is most relevant to teams that need inspectable data quality and portfolio level analysis of binary contingent claims. Describe your requirements.
Is this aimed at casual or retail traders?
Expreci is designed for users who already treat event contracts as a portfolio and care about data quality, joint outcomes, and liquidity. Experienced casual and retail traders can use the service when their requirements fit that analytical approach. Register interest.
Current Status & Next Steps
What is the current status of Expreci?
Expreci is currently in Beta stage and is validating requirements from additional prospective users. The technical design is published so prospective users can evaluate it and provide detailed feedback. Evaluate the technical design.
How can I give feedback or register interest?
Use the interest form to describe the data, analytics, and workflow requirements that matter to you. Specific technical requirements and concrete problems are more useful than a generic expression of interest. Submit detailed requirements.