A practical guide to macro-event monitoring through configured sources in TEMIRIN using configured records, explicit market identity, current controls, and human review.
August 3, 2026 · 5 min read
Macro-event monitoring starts with a calendar, not an open-ended stream of headlines. List the releases and institutions that matter to the current watchlist: for example an inflation publication, labor report, central-bank decision, budget statement, or election milestone. Record the scheduled time, time zone, issuing authority, expected source, relevant contract wording, and reviewer. A bounded plan makes it clear which silence is normal and which missing update needs operational attention.
Separate recurring releases from unscheduled statements. A monthly table has a known reference period and revision pattern; an emergency announcement may not. For each event, write the evidence expected before, during, and after publication. This small runbook helps a reviewer distinguish a delayed official release from a failed RSS or web check and avoids treating general macro commentary as if it were the named primary record.
Store the canonical publication URL, source observation time, stated reference period, release status, and the exact table or statement a reviewer opened. RSS summaries and news pages may arrive before an official document is complete. Keep their provenance visible and deduplicate repeated copies without counting syndication as independent confirmation. When the authority publishes a replacement file or correction, append it as a later evidence record.
Revisions matter because a market review may have occurred on the preliminary number. Do not silently replace that value with the latest series. Preserve what was available at the original decision time, then link the revision with its publication time and an attributable note. This allows post-event review to ask whether the workflow handled provisional data well instead of judging the earlier decision through information that did not yet exist.
A single macro release can affect several prediction-market questions, but the relationship is never generic. Open each watchlist contract by its explicit market ID and read the threshold, date window, outcome wording, close time, and resolving authority. Headline inflation, core inflation, year-over-year change, and a monthly seasonally adjusted value can point in different directions even when a news article uses one broad label.
Store only a verified evidence relationship for that exact contract. If a source item lacks the supported market identifier, keep it available for manual research rather than placing it beside every economically related market. This boundary prevents one jobs report or central-bank statement from inheriting relevance across the whole watchlist and makes later reviewers inspect the reasoning at contract level.
Preserve the first price observed for the watchlist-derived record, then add a separately time-stamped current price before and after publication. Include public bid, ask, spread, and visible depth only when those fields are present. Fast repricing can make an apparently current quote stale within moments, so each observation needs its own time and source rather than a promise that the level was available for a transaction.
Build the event timeline from scheduled time, source collection, reviewer open time, trigger observation, later market observation, alert attempt, and any saved decision. The ordering often explains more than the size of the move. A delayed official page, an early summary, and a rapidly widening spread create different review conditions even when the final reported economic value is the same.
Refresh the configured public-wallet snapshot before interpreting a macro idea in isolation. Positions across rates, inflation, elections, fiscal policy, or growth may express one underlying scenario even when titles differ. Use visible exposure and portfolio concentration as context, name the snapshot time, and preserve missing fields. The address cannot reveal every account, transfer, hedge, or commitment outside the supported public record.
Read the workspace policy fields individually: source and category state, stake cap or maximum-stake override, confidence setting, free-capital percentage, price-move result, and kill-switch state. If the user enters a paper direction, price, and notional, retain the request with the per-order, rolling twenty-four-hour, per-market exposure, and portfolio-concentration checks. Those results apply to the simulation and do not make the macro interpretation correct.
Sample events with immediate movement, delayed movement, no material change, a revision, and incomplete source data. Compare scheduled, observed, and price timestamps, then read the contemporaneous notes. Include opportunities that received no paper action and paper requests that were blocked. This balanced set tests whether the monitoring operation captured usable context instead of rewarding only dramatic releases or favorable simulated outcomes.
Turn findings into concrete operational changes: correct a time-zone label, replace an unreliable feed, clarify a contract threshold checklist, or improve an alert destination. Keep the lesson attributable and prospective. One surprising print does not prove a macro forecasting method, and one quiet market does not prove the evidence was useless. The goal is a reproducible release workflow whose source and timing limits remain visible.
Keep the scheduled event time, source observation time, available publication time, and each market-price observation separate so a reviewer can reconstruct the release timeline.
Preserve the earlier collected release and append the revision with its canonical reference and time. The later value should not silently replace what the reviewer originally saw.
No. Each relationship requires the verified market identifier and a contract-specific review of threshold, date window, outcome wording, and resolving authority.
