Every feature, built for rules-based allocation
Remedy combines structured data ingestion, rules-driven signal processing, and transparent risk controls into a single analytical workflow. Below is a detailed look at what the platform does and why each capability matters.
Data-analysis output only — not investment advice or a recommendation to buy or sell any asset.
Platform Snapshot
What the platform actually does
Each capability below addresses a distinct stage of the analytical process — from raw data intake to structured, rules-based output. No component operates on discretion or subjective judgment.
Structured Data Ingestion
Market data is pulled from configured sources on a fixed schedule and normalized into a consistent internal format. This removes inconsistencies caused by differing feed structures and ensures every downstream rule operates on comparable inputs.
Rules-Based Signal Processing
Predefined logical conditions are applied to incoming data to generate signals. Rules are fixed in advance and documented, so the same input conditions always produce the same output — no ad-hoc overrides during processing.
Configurable Risk Parameters
Exposure limits, position sizing boundaries, and drawdown thresholds are set as explicit parameters before analysis begins. These constraints are enforced automatically and can be reviewed or adjusted between analysis cycles.
Automated Allocation Logic
Once signals and risk parameters are established, allocation weightings are calculated according to the defined rule set. The calculation is repeatable and auditable — every output can be traced back to the inputs and rules that produced it.
Continuous Monitoring
Once an allocation is active, the platform re-evaluates underlying data on an ongoing basis and flags when conditions deviate from the parameters that justified the original allocation.
Structured Reporting
Every analysis cycle produces a structured report detailing the inputs used, the rules triggered, and the resulting output — designed for review, record-keeping, and downstream decision-making.
All figures and labels shown throughout this page are illustrative of platform structure and do not represent live performance data, guaranteed outcomes, or historical results.
From raw data to structured output
The workflow below describes the sequence every analysis cycle follows — consistent, documented, and repeatable.
Data Collection
Configured sources are queried on a fixed schedule and normalized into a shared internal schema.
Rule Evaluation
Predefined conditions are checked against the normalized data to identify qualifying signals.
Parameter Check
Any qualifying signal is cross-checked against configured risk and exposure parameters.
Report Generation
A structured output is compiled, documenting inputs, triggered rules, and resulting allocation logic.
The sequence runs identically on every cycle. Parameters can be changed between cycles, but the process itself does not vary based on discretionary judgment during execution.
Built around documentation, not discretion
Every feature on this page exists to reduce ambiguity in the analytical process. Rules are defined and recorded before an analysis cycle begins, not adjusted mid-cycle based on outcome.
This structure means the platform's behavior can be reviewed after the fact — inputs, triggered rules, and resulting output are all preserved in the same report, giving a consistent audit trail for every cycle.
It also means users retain control over the parameters that govern risk exposure, since those settings are configured explicitly rather than inferred by the system.
Risk parameters, made explicit
Risk controls are a core feature, not an afterthought. Every allocation cycle operates within boundaries that are set and visible before analysis runs, and any breach of those boundaries is flagged in the resulting report.
Common questions about specific capabilities
Additional detail on how individual features behave in practice.
Review the full capability set in practice
Start an analysis cycle to see how data ingestion, rule evaluation, and structured reporting work together — or get in touch with questions about specific features.