Signal Strategy v1

Methodology built for after-the-fact review.

Strategy v1 is a research framework for publishing auditable signal cards. Each card records what fired, which evidence supported it, and how the outcome should be tracked later.

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No guaranteed returns. No personalized advice. No broker connection.

5/5 Positive ingredients Strategy v1

Evidence checked6 sources Confidence labelResearch tier Outcome trackingTracked later

Published record versioned rules | timestamp | evidence references | immutable event hash

System map

From public research inputs to an auditable signal card.

The product keeps source context, scoring, publication, and later outcomes separate so users can see what influenced a signal without connecting a brokerage account.

Research inputs Public disclosures Policy and committee context Political trade quality Market and benchmark context Source provenance

1 Normalize evidence Each input is treated as context with a source trail, not as an automatic trade instruction.
2 Score Strategy v1 ingredients Ingredients are checked for positive support, confidence tier, and risk context.
3 Publish immutable signal record The card records strategy version, timestamp, evidence summary, status, and ledger hash.
4 Track outcomes later Results are compared against benchmark context after signals mature, including stale and immature counts.

Learning loop Score bands, confidence tiers, and ingredients are reviewed to learn which inputs helped. No personalized advice. No portfolio sync. No broker execution.

What Strategy v1 records

The signal is more than a ticker.

A published card includes the strategy version, timestamp, evidence references, confidence tier, current status, risk note, and ledger proof. That structure makes the signal easier to audit after the market has moved.

Evidence references Signals summarize the research inputs behind each positive ingredient so users can see what actually contributed.
Opportunity score The score is a weighted ranking signal out of 100, not the percentage of positive ingredients.
Confidence tier Confidence is a research classification, not a promise. Tiers are tracked later to see which groups perform better or worse.
Risk and invalidation Cards describe why the signal could be wrong, including stale context, weak liquidity, or changed market conditions.
Immutable ledger proof Published records are treated as append-only events with hashes that tie back to the card state at publication time.

Learning loop

Outcome tracking tells the strategy what mattered.

Replitrade tracks mature, immature, stale, and skipped signals. The learning loop compares score bands, confidence tiers, and signal ingredients so future versions can be improved with evidence.

Ingredient breakdowns

Performance is grouped by the signal ingredients present at publication, not only by ticker.

Confidence breakdowns

Confidence tiers are measured over time to learn whether they map to better outcomes.

Shadow strategies

Experimental rules can be tracked in shadow mode before changing the public Strategy v1 feed.

Boundary

Research feed, not account software.

Strategy v1 does not require subscriber holdings, tax profile, risk tolerance, broker access, portfolio sync, or routed trades. It is a one-to-many research product.