earnings-trade-analyzer
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
- Installs
- 3.4K
- Last 24h
- +21
- Trending rank
- #5641
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/tradermonty/claude-trading-skills --skill earnings-trade-analyzer- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads earnings-trade-analyzer automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
- First retry once with a narrower liquid-universe configuration so the full 5-factor scorer has a chance to complete, for example:
python3 skills/earnings-trade-analyzer/scripts/analyze_earnings_trades.py \
--lookback-days 2 \
--min-market-cap 5000000000 \
--top 20 \
--max-api-calls 600 \
--output-dir reports/<routine-date>
- If the scored run still returns no candidates or cannot complete, verify the same range through the stable endpoint used by the compatibility shim and clearly label the result as an ungraded fallback:
curl "https://financialmodelingprep.com/stable/earnings-calendar?from=YYYY-MM-DD&to=YYYY-MM-DD&apikey=$FMP_API_KEY"
Then optionally enrich returned US tickers through the analyzer's stable-first FMP client or per-symbol /stable/quote?symbol=<ticker> calls to rank by same-day changesPercentage, market cap, and liquidity. Use legacy /api/v3 quote calls only as a legacy-key fallback after stable has failed. Present these as preliminary / ungraded reactions because the 5-factor scorer did not run; do not assign A/B/C/D grades from the fallback alone.
No-candidate output pitfall: The analyzer may print Candidates after filtering: 0 / No candidates found matching criteria. and exit successfully without writing an earnings_trade_analyzer_*.json file. In that case, do not try to run PEAD Mode B from a nonexistent candidate file. Say explicitly that no scored analyzer JSON was produced, run the endpoint/quote enrichment fallback above if the routine needs an earnings section, and label any names as manual-review only. This success-exit path does not cover budget exhaustion during profile fetching: that case exits 1 (ZERO_RESULT_REASON=profiles_budget_exhausted) instead.
Empty windows and today-only runs
The earnings calendar window is inclusive and uses the America/New_York
calendar date from --as-of (or the current ET date). A clean provider []
is a benign quiet-window result only when the shared XNYS calendar successfully
counts zero exchange sessions in that exact window, such as a weekend or
holiday. If the window contains an XNYS session, the same clean [] exits 1
with ZERO_RESULT_REASON=earnings_calendar_empty_with_market_sessions so a
provider drop is not reported as a quiet day. If the XNYS calendar cannot be
queried, the run also exits 1 with
ZERO_RESULT_REASON=market_calendar_unavailable.
--lookback-days 0 is valid and queries exactly the single ET as-of date. Use
it after the relevant announcements have been published (normally after the
session close); an empty response on an XNYS session remains intentionally
fail-closed. A non-empty response whose rows do not carry a symbol retains
the separate ZERO_RESULT_REASON=no_earnings_rows behavior; that case is not
the literal-empty-list session check above.
Step 2: Review Results
- Read the generated JSON and Markdown reports
- Load
references/scoring_methodology.mdfor scoring interpretation context - Focus on Grade A and B stocks for actionable setups
Step 3: Present Analysis
For each top candidate, present:
- Composite score and letter grade (A/B/C/D)
- Earnings gap size and direction
- Pre-earnings 20-day trend
- Volume ratio (20-day vs 60-day average)
- Position relative to 200-day and 50-day moving averages
- Weakest and strongest scoring components
Step 4: Provide Actionable Guidance
Based on grades:
- Grade A (85+): Strong earnings reaction with institutional accumulation - consider entry
- Grade B (70-84): Good earnings reaction worth monitoring - wait for pullback or confirmation
- Grade C (55-69): Mixed signals - use caution, additional analysis needed
- Grade D (<55): Weak setup - avoid or wait for better conditions
Output
earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json- Structured results with schema_version "1.0"earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.md- Human-readable report with tables
Unknown earnings timing
FMP does not confirm a bmo/amc session for every earnings row; unconfirmed
rows report earnings_timing: "unknown" and the gap calculation assumes the
AMC window as a fallback. Both reports surface timing_unknown_count out of
timing_candidates_total so this assumption stays visible rather than
blending unnoticed into the scores.
Resources
references/scoring_methodology.md- 5-factor scoring system, grade thresholds, and entry quality filter rules
FAQ
What does the earnings-trade-analyzer skill do?
Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each stock 0-100 and assigns A/B/C/D grades. Use when user asks about earnings trade analysis, post-earnings momentum screening, earnings gap scoring, or finding best recent earnings reactions.
How do I install earnings-trade-analyzer?
Run npx skills add https://github.com/tradermonty/claude-trading-skills --skill earnings-trade-analyzer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/earnings-trade-analyzer/ (personal) or .claude/skills/earnings-trade-analyzer/ (project).
Which AI agents can use earnings-trade-analyzer?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is earnings-trade-analyzer safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains earnings-trade-analyzer?
It is published by tradermonty in tradermonty/claude-trading-skills. It has 3,421 recorded installs.
More from tradermonty/claude-trading-skills
us-stock-analysis
tradermonty/claude-trading-skills
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
market-news-analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.
backtest-expert
tradermonty/claude-trading-skills
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
technical-analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
market-environment-analysis
tradermonty/claude-trading-skills
Comprehensive market environment analysis and reporting tool. Analyzes global markets including US, European, Asian markets, forex, commodities, and economic indicators. Provides risk-on/risk-off assessment, sector analysis, and technical indicator interpretation. Triggers on keywords like market analysis, market environment, global markets, trading environment, market conditions, investment climate, market sentiment, forex analysis, stock market analysis, 相場環境, 市場分析, マーケット状況, 投資環境.
portfolio-manager
tradermonty/claude-trading-skills
Comprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.
Popular business & finance skills
sales-enablement
coreyhaines31/marketingskills
When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'battle card,' 'battlecard,' 'competitive one-pager,' 'win-loss analysis,' 'why are we losing deals,' 'loss reasons,' 'how do I respond to this objection,' 'prospect just said,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps,' 'cold call script,' or 'voicemail script.' Use this for any document or asset that helps a sales team close deals. For public competitor comparison pages, see competitors. For running buyer interviews or churn research, see customer-research. For marketing website copy, see copywriting. For cold outreach emails, see cold-email. For the offer being sold (bonuses, guarantees, pricing structure),
revops
coreyhaines31/marketingskills
When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see emails. For pricing decisions, see pricing.
sales-funnel-blueprint
autonnel/autonnel-skills
Turn an offer into a concrete multi-step sales funnel spec - page-by-page structure, price ladder, copy outline and the metrics each step must hit. Use when asked to build a sales funnel, marketing funnel, landing page flow, lead magnet funnel, webinar funnel, tripwire or VSL funnel, when planning a product launch page flow, or when someone asks "what pages do I need" for selling something online.
pricing
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.
cross-border-ecommerce
nexscope-ai/ecommerce-skills
Cross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion roadmap. No API key required.
pricing-strategy
coreyhaines31/marketingskills
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' or 'should I offer a free plan.' Use this whenever someone is figuring out what to charge or how to structure their plans. For in-app upgrade screens, see paywall-upgrade-cro.