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Economic Calendar Trading

skill-ske-labs-agent-trading-skills-economic-calendar-trading · by SKE-Labs

Trade around scheduled economic events using impact ranking, deviation scoring, and structured scenario analysis. Use when positioning for FOMC, CPI, NFP, GDP, or other macro events, or when assessing how upcoming events affect existing positions.

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Install

$ agentstack add skill-ske-labs-agent-trading-skills-economic-calendar-trading

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Security review

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No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Economic Calendar Trading

Trade scheduled economic releases where the deviation from consensus, not the number itself, drives price.

Event Impact Ranking

| Event | Impact | Frequency | Release (ET) | Assets Affected | | --- | --- | --- | --- | --- | | FOMC Rate Decision | 10 | 8x/year | 2:00 PM + presser 2:30 PM | All markets | | Non-Farm Payrolls | 9 | 1st Friday/month | 8:30 AM | USD, Stocks, Bonds | | CPI (Inflation) | 8.5 | ~10th-15th/month | 8:30 AM | Stocks, Bonds, Crypto | | GDP | 7 | Quarterly | 8:30 AM | Broad market | | PCE (Fed's inflation) | 7 | Monthly | 8:30 AM | Fed-sensitive assets | | PMI (Mfg/Services) | 6 | Monthly | 10:00 AM | Sector-specific | | Retail Sales | 5.5 | Monthly | 8:30 AM | Consumer stocks | | Jobless Claims | 4 | Weekly | 8:30 AM | USD, short-term |

Deviation Thresholds

Deviation Score = (Actual - Forecast) / Forecast x 100

| Event | Small | Moderate | Large (market-moving) | | --- | --- | --- | --- | | NFP | +/-25K jobs | +/-50K jobs | +/-100K+ jobs | | CPI (YoY) | +/-0.1% | +/-0.2% | +/-0.3%+ | | GDP (QoQ) | +/-0.2% | +/-0.5% | +/-1.0%+ | | Fed Funds Rate | -- | +/-25bps surprise | +/-50bps surprise | | PMI | +/-0.5 pts | +/-1.0 pts | +/-2.0+ pts | | Retail Sales | +/-0.2% | +/-0.5% | +/-1.0%+ |

Workflow

1. Check Calendar

get_economics_calendar(from_date="2026-03-20", to_date="2026-03-27", impact="high")

Flag events with Impact >= 7. Check every Monday.

2. Research Consensus

get_financial_news(topic="CPI inflation forecast consensus March 2026", max_results=10)

Extract: consensus forecast, range of estimates, leading indicators, and current market positioning.

3. Build Scenario Matrix

For each high-impact event, map beat/meet/miss scenarios with estimated probability, expected market reaction, and position recommendation.

4. Post-Release: Wait Before Entry

| Impact Score | Wait Time | Rationale | | --- | --- | --- | | 9-10 (FOMC, NFP) | 30-45 min | Maximum volatility, whipsaws common | | 7-8.5 (CPI, GDP, PCE) | 15-30 min | High vol but settles faster | | 5-6 (PMI, Retail) | 5-15 min | Moderate vol, quicker absorption | | = 8 events -- reduce or close beforehand

  • When multiple events cluster (e.g., NFP + unemployment + wages), increase wait time by 50%
  • A "beat" or "miss" only matters relative to consensus -- CPI at 3.2% vs 3.1% consensus is small; 3.5% vs 3.1% is market-moving
  • Reduce all correlated positions before events, not just direct exposure

Related Skills

  • sentiment-analysis -- Pre-event sentiment gauges positioning
  • sector-rotation -- Macro data drives sector rotation shifts

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.