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Create geopolitical turbulence trapper project skeleton
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@@ -17,6 +17,7 @@ _Last updated: 2026-03-09 14:46 Australia/Brisbane_
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- GPT-5.4 support restored again after update-related breakage; if it breaks again, report Tao immediately
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- GPT-5.4 support restored again after update-related breakage; if it breaks again, report Tao immediately
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## Next
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## Next
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- continue Geopolitical Turbulance Trapper from planning into verified HK-first data/derivatives workflow
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- apply CURRENT_STATE + dual reporting rules in practice
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- apply CURRENT_STATE + dual reporting rules in practice
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- later decide whether to package continuity workflow as a skill, clawkeeper feature, or both
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- later decide whether to package continuity workflow as a skill, clawkeeper feature, or both
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- monitor GPT-5.4 availability and report any fallback/unavailability immediately
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- monitor GPT-5.4 availability and report any fallback/unavailability immediately
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# Geopolitical Turbulance Trapper
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Small-scale event-driven trading intelligence and derivatives decision-support system.
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## Current focus
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- HK-first MVP
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- dashboard-first output
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- verified derivatives metadata before recommendation
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- liquidity / execution risk as first-class signals
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## Planned modules
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- `docs/` — brief, roadmap, decisions
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- `schemas/` — target / derivative / alert / risk schemas
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- `src/events/` — event tagging and severity logic
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- `src/regime/` — market regime classification
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- `src/instruments/` — derivative metadata verification and suitability logic
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- `src/risk/` — liquidity / execution / gap / KO risk logic
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- `src/signals/` — actionable strategy outputs
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- `src/dashboard/` — UI layer
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## Status
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Early project skeleton created from Development Plan v1 on 2026-03-09.
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# Derivatives Verification Workflow
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Before any derivative is elevated from candidate to recommendation:
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1. Verify underlying-symbol mapping.
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2. Verify instrument type (CBBC, warrant, option, LEAP).
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3. Verify call/barrier/strike/expiry/ratio from a trusted source.
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4. Record issuer / venue.
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5. Record bid, ask, spread, volume, turnover, and outstanding when available.
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6. Mark verification status:
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- `unverified`
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- `partial`
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- `verified`
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7. Do not present `unverified` products as high-confidence trade suggestions.
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## Extra checks for HK CBBC / warrants
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- KO/call buffer vs current underlying price
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- liquidity deterioration risk near barrier
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- outstanding concentration risk
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- likely spread behavior under fast markets
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## Extra checks for US options / LEAPS
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- IV level and term structure
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- theta decay
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- option volume / OI
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- earnings event proximity
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# Project Brief
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## Goal
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Track geopolitical, macro, commodity, earnings, and market information across HK / US / AU focus markets and convert them into actionable derivatives trading support.
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## MVP
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HK-first:
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- HSI
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- HSTECH
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- Tencent
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- Alibaba
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- Xiaomi
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## Key outputs
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- market regime
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- derivative candidates
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- buy zone / danger zone / reduce zone
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- liquidity and execution risk review
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- dashboard alerts
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## Hard rules
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- facts before opinions
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- verify product metadata before recommendation
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- support bear as well as bull workflows
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- treat liquidity / outstanding / spread risk as first-class
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- AI explains; AI does not act as the facts source
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# Roadmap
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## Step 1
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- establish schemas
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- define HK-first target universe
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- formalize verification-first derivatives workflow
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## Step 2
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- build data-source adapters for price and macro snapshots
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- build derivative metadata ingestion/verification stubs
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## Step 3
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- implement regime and risk engine
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- define bear / bull / combo playbooks
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## Step 4
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- build dashboard MVP
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- add alerts for entry zone, danger zone, KO risk, and spread widening
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## Step 5
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- extend to US targets and options / LEAPS
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "StrategyAlert",
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"type": "object",
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"required": ["type", "severity", "target", "message"],
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"properties": {
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"type": {"type": "string", "enum": ["entry_zone", "danger_zone", "exit_zone", "ko_risk", "spread_widening", "event_shock", "vol_spike", "earnings_window"]},
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"severity": {"type": "string", "enum": ["info", "warning", "high", "critical"]},
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"target": {"type": "string"},
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"instrumentCode": {"type": ["string", "null"]},
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"message": {"type": "string"},
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"evidence": {"type": "array", "items": {"type": "string"}},
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"timestamp": {"type": ["string", "null"], "format": "date-time"}
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}
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}
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "DerivativeCandidate",
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"type": "object",
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"required": ["underlying", "market", "instrumentType", "direction"],
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"properties": {
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"underlying": {"type": "string"},
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"market": {"type": "string", "enum": ["HK", "US", "AU"]},
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"instrumentType": {"type": "string", "enum": ["CBBC", "WARRANT", "OPTION", "LEAP"]},
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"direction": {"type": "string", "enum": ["bull", "bear", "call", "put", "combo"]},
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"code": {"type": "string"},
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"issuer": {"type": "string"},
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"callLevel": {"type": ["number", "null"]},
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"strike": {"type": ["number", "null"]},
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"expiry": {"type": ["string", "null"], "format": "date"},
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"entitlementRatio": {"type": ["number", "null"]},
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"bid": {"type": ["number", "null"]},
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"ask": {"type": ["number", "null"]},
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"spreadPct": {"type": ["number", "null"]},
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"volume": {"type": ["number", "null"]},
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"turnover": {"type": ["number", "null"]},
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"outstandingPct": {"type": ["number", "null"]},
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"verificationStatus": {"type": "string", "enum": ["unverified", "partial", "verified"]},
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"liquidityRisk": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
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"notes": {"type": "string"}
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}
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}
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "InstrumentRiskReview",
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"type": "object",
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"required": ["target", "instrumentType"],
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"properties": {
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"target": {"type": "string"},
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"instrumentType": {"type": "string"},
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"gapRisk": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
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"koRisk": {"type": ["string", "null"], "enum": ["low", "medium", "high", "critical", null]},
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"ivRisk": {"type": ["string", "null"], "enum": ["low", "medium", "high", "critical", null]},
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"thetaRisk": {"type": ["string", "null"], "enum": ["low", "medium", "high", "critical", null]},
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"liquidityRisk": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
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"executionRisk": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
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"headlineRisk": {"type": "string", "enum": ["low", "medium", "high", "critical"]},
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"summary": {"type": "string"}
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}
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}
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{
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"$schema": "https://json-schema.org/draft/2020-12/schema",
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"title": "TargetInstrumentUniverseItem",
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"type": "object",
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"required": ["id", "market", "symbol", "name", "category"],
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"properties": {
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"id": {"type": "string"},
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"market": {"type": "string", "enum": ["HK", "US", "AU", "MACRO"]},
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"symbol": {"type": "string"},
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"name": {"type": "string"},
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"category": {"type": "string", "enum": ["equity", "index", "commodity", "fx", "volatility"]},
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"themeTags": {"type": "array", "items": {"type": "string"}},
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"eventSensitivity": {"type": "object", "additionalProperties": {"type": "number"}},
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"notes": {"type": "string"}
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}
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}
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{
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"targets": [
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{"id": "hk_tencent", "market": "HK", "symbol": "0700.HK", "name": "Tencent", "category": "equity", "themeTags": ["ai", "internet", "china-tech"]},
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{"id": "hk_alibaba", "market": "HK", "symbol": "9988.HK", "name": "Alibaba", "category": "equity", "themeTags": ["cloud", "ecommerce", "china-tech"]},
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{"id": "hk_xiaomi", "market": "HK", "symbol": "1810.HK", "name": "Xiaomi", "category": "equity", "themeTags": ["consumer-electronics", "ev", "china-tech"]},
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{"id": "hk_hsi", "market": "HK", "symbol": "^HSI", "name": "HSI", "category": "index", "themeTags": ["hk-index"]},
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{"id": "hk_hstech", "market": "HK", "symbol": "3032.HK", "name": "HSTECH proxy", "category": "index", "themeTags": ["hk-tech-index"]},
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{"id": "macro_brent", "market": "MACRO", "symbol": "BZ=F", "name": "Brent Crude", "category": "commodity", "themeTags": ["oil", "macro-driver"]},
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{"id": "macro_wti", "market": "MACRO", "symbol": "CL=F", "name": "WTI Crude", "category": "commodity", "themeTags": ["oil", "macro-driver"]}
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]
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}
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