Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tradermonty/claude-trading-skills --skill earnings-trade-analyzergit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/earnings-trade-analyzer)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/earnings-trade-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/earnings-trade-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/earnings-trade-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/earnings-trade-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.01705 |
| Opus 5.5 | $0.00033 | $0.00682 |
| Sonnet 5.5 | $0.00017 | $0.00341 |
| Haiku 4.5 | $0.00008 | $0.00170 |
Grade A, and why
earnings-trade-analyzer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://financialmodelingprep.com/stable/earnings-calendar?from=YYYY-MM-DD&to=YYYY-MM-DD&apikey=$FMP_API_KEY" Copies of this mod
1 near-identical copy found in the catalogue:
- earnings-trade-analyzer — 100% identical, 37 lines differ
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Earnings Trade Analyzer - Post-Earnings 5-Factor Scoring
Analyze recent post-earnings stocks using a 5-factor weighted scoring system to identify the strongest earnings reactions for potential momentum trades.
When to Use
- User asks for post-earnings trade analysis or earnings gap screening
- User wants to find the best recent earnings reactions
- User requests earnings momentum scoring or grading
- User asks about post-earnings accumulation day (PEAD) candidates
Prerequisites
- FMP API key (set
FMP_API_KEYenvironment variable or pass--api-key) - Free tier (250 calls/day) is sufficient for default screening (lookback 2 days, top 20)
- Paid tier recommended for larger lookback windows or full screening
Workflow
Step 1: Run the Earnings Trade Analyzer
Execute the analyzer script:
# Default: last 2 days of earnings, top 20 results
python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py --output-dir reports/
# Custom lookback and market cap filter
python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \
--lookback-days 5 \
--min-market-cap 1000000000 \
--top 30 \
--output-dir reports/
# Deterministic anchor date (America/New_York); the window is anchored on the
# ET calendar date, not the runner's local clock. For reproducible runs/tests.
python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \
--as-of 2026-09-15 \
--output-dir reports/
# With entry quality filter
python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \
--apply-entry-filter \
--output-dir reports/
Degraded endpoint / budget fallback for scheduled reviews
If the analyzer reports a 404, an implausible empty earnings calendar, or exhausts its API-call budget before producing scored candidates during a scheduled after-close/pre-market run, do not report "no earnings reactions" immediately. A clean empty response over a date window containing at least one XNYS session exits 1 with ZERO_RESULT_REASON=earnings_calendar_empty_with_market_sessions. If the shared XNYS calendar cannot classify the window, it exits 1 with ZERO_RESULT_REASON=market_calendar_unavailable. Budget or daily rate-limit exhaustion during profile fetching exits 1 with ZERO_RESULT_REASON=profiles_budget_exhausted. Treat each as a failed run to retry or fall back on, not a quiet day. Only a clean empty response over a zero-session window exits 0 as ZERO_RESULT_REASON=no_earnings_rows.
What ships with it
20 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/scoring_methodology.md 3.8 KB
- requirements.txt 204 B
- scripts/_fmp_compat.py 5.8 KB runs code
- scripts/_market_calendar.py 11 KB runs code
- scripts/analyze_earnings_trades.py 24 KB runs code
- scripts/calculators/__init__.py 38 B runs code
- scripts/calculators/gap_size_calculator.py 5.0 KB runs code
- scripts/calculators/ma200_calculator.py 2.4 KB runs code
- scripts/calculators/ma50_calculator.py 2.2 KB runs code
- scripts/calculators/pre_earnings_trend_calculator.py 3.0 KB runs code
- scripts/calculators/volume_trend_calculator.py 3.9 KB runs code
- scripts/fmp_client.py 21 KB runs code
- scripts/report_generator.py 9.6 KB runs code
- scripts/scorer.py 3.9 KB runs code
- scripts/tests/conftest.py 307 B runs code
- scripts/tests/test_cli_reports.py 7.3 KB runs code
- scripts/tests/test_earnings_trade_analyzer.py 85 KB runs code
- scripts/tests/test_fmp_client_historical.py 2.6 KB runs code
- scripts/tests/test_fmp_stable_migration.py 2.6 KB runs code
- scripts/tests/test_market_calendar_contract.py 5.0 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +19 lines e9b4405fa6a5
- 1mo ago Changed · +6 lines 85aac1fa5cff
- 1mo ago Changed 332cfc5aadc0
- 1mo ago Changed f668493d3a80
- 1mo ago Changed · +8 lines df42949888fa
- 1mo ago First seen · 103 lines · 83 tokens per session scan A a61a4409298f
earnings-trade-analyzer is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 1,705 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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