tradermonty/claude-trading-skills
56 skills52.4k installs141k starsGitHub
Install
npx skills add https://github.com/tradermonty/claude-trading-skillsSkills in this repo
1Us Stock Analysisus-stock-analysis performs comprehensive US equity research by fetching live market data through web search and applying structured analytical frameworks. It supports four modes: basic stock info, fundamental analysis, technical analysis, and comprehensive reports combining all approaches. Data gathering targets current price and volume, financial statements, valuation metrics like P/E and EPS, analyst ratings, recent news, peer comparisons, and technical indicators such as RSI and MACD when available. Fundamental workflows pull multi-year revenue, earnings, cash flow, balance sheet metrics, profitability trends, competitive advantages, and valuation ratios compared to history and peers. Technical workflows cover chart patterns, support and resistance, and indicator interpretation. Search strategy uses ticker-specific queries, prefers recent quarterly data, and cites quality sources including Yahoo Finance, SEC filings, and TradingView. Output formats range from concise metric tables to full reports following bundled reference templates for fundamentals, metrics definitions, and report structure.3.1kinstalls2Market News AnalystThe market-news-analyst skill analyzes major financial news from the past ten days and impact on US equity markets and commodities. It uses WebSearch and WebFetch to collect trusted sources, evaluates impact magnitude, analyzes market reactions, and produces structured English reports ranked by significance. Covers monetary policy (FOMC, ECB, BOJ), geopolitical commodity events, and mega-cap earnings. Prerequisites require WebSearch and WebFetch tools; no API keys needed. Output is conversational guidance plus optional Markdown report saved to reports/ on request. All analysis thinking runs in English per skill spec. Collects past-10-days market news via WebSearch and WebFetch tools Ranks impact on US equities and commodities with structured English reports Covers FOMC, ECB, BOJ policy, geopolitics, and mega-cap earnings No API keys required; uses built-in web search capabilities Optional Markdown report to reports/ directory on user request market-news-analyst produces impact-ranked analysis of recent market-moving financial news Structured English report ranking news events by market impact with reaction analysis User requests recent market news analysis, FOMC impact, or mega-ca.1.7kinstalls3Market Environment AnalysisThe market-environment-analysis skill supports trading workflows by analyzing broader market environment factors such as regime, volatility, sector rotation, and macro context before strategy decisions. It complements other claude-trading-skills with situational awareness rather than single-ticker signals alone. Use when developers assess market backdrop, risk regime, or environment filters for systematic or discretionary trading plans.1.4kinstalls4Backtest ExpertThe backtest-expert skill is designed for systematically backtest and stress-test quantitative trading strategies before live use. Backtest Expert Systematic approach to backtesting trading strategies based on professional methodology that prioritizes robustness over optimistic results. Core Philosophy Goal: Find strategies that "break the least", not strategies that "profit the most" on paper. Invoke when the user develops, tests, or stress-tests quantitative trading strategy backtests.1.4kinstalls5Portfolio ManagerThe portfolio-manager skill is designed for manage multi-asset portfolios with allocation, rebalancing, and risk metrics. Generate detailed portfolio reports with actionable insights. This skill leverages Alpaca's brokerage API through MCP (Model Context Protocol) to access live portfolio data, ensuring analysis is based on actual current positions rather than manually entered data. Invoke when the user manages portfolio allocation, rebalancing, or multi-asset risk metrics.1.4kinstalls6Value Dividend ScreenerThe value-dividend-screener skill is designed for screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and. Value Dividend Screener Overview This skill identifies high-quality dividend stocks that combine value characteristics, attractive income generation, and consistent growth using a two-stage screening approach: 1. FINVIZ Elite API (Optional but Recommended): Pre-screen stocks with basic criteria (fast, cost-effective) 2. Invoke when the user user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.1.3kinstalls7Technical AnalystThe technical-analyst skill 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 Technical Analyst Overview This skill enables comprehensive technical analysis of weekly price charts Analyze chart images to identify trends support and resistance levels moving average relationships volume patterns and develop probabilistic scenarios for future price movement All analysis is conducted objectively using only chart data without influence from news fundamentals or market sentiment When to Use User provides weekly chart images stocks indices crypto forex and requests technical analysis Need to identify trend direction strength and potential reversal points Looking for support resistance levels and key price zones Want probabilistic scenario planning with specific price targets Require objective chart-based analysis without fundamental or news considerations Prerequisites C.1.3kinstalls8Options Strategy AdvisorThe options-strategy-advisor skill options trading strategy analysis and simulation tool Provides theoretical pricing using Black-Scholes model Greeks calculation strategy P L simulation and risk management guidance Use when user requests options strategy analysis covered calls protective puts spreads iron condors earnings plays or options risk management Includes volatility analysis position sizing and earnings-based strategy recommendations Educational focus with practical trade simulation Options Strategy Advisor Overview This skill provides comprehensive options strategy analysis and education using theoretical pricing models It helps traders understand analyze and simulate options strategies without requiring real-time market data subscriptions Core Capabilities Black-Scholes Pricing Theoretical option prices and Greeks calculation Strategy Simulation P L analysis for major options strategies Earnings Strategies Pre-earnings volatility plays integrated with Earnings Calendar Risk Management Position sizing Greeks exposure max loss profit analysis Educational Focus Detailed explanations of strategies and risk metrics Data Sources FMP API Stock prices historical volatility divi.1.2kinstalls9Canslim ScreenerCANSLIM Screener is a Claude trading skill that applies William O'Neil's CANSLIM growth stock selection system from Investor's Business Daily. The methodology identifies seven common characteristics—Current earnings, Annual earnings, New products, Supply/demand, Leader status, Institutional sponsorship, and Market direction—that winning stocks exhibited in IBD historical studies. Developers reach for CANSLIM Screener before investment or trading decisions when they want structured screening instead of ad hoc ticker picks. The skill documents IBD research spanning stocks from 1953 onward and frames multi-bagger trait analysis as a repeatable checklist.1.1kinstalls10Institutional Flow Trackerinstitutional-flow-tracker is a finance research skill from tradermonty/claude-trading-skills that analyzes SEC 13F filings to track institutional ownership changes across hedge funds, mutual funds, and pension funds. The skill identifies accumulation and distribution patterns from sophisticated investors, helping developers and quant-minded builders validate ideas, spot early opportunities, and detect exits by tracked managers. It references following well-known filers such as Warren Buffett, Seth Klarman, and Bill Ackman as examples of superinvestor signal sources. Reach for institutional-flow-tracker when building investment research workflows, screening for smart-money inflows, or adding 13F-based alerts to trading or analytics tooling.1.1kinstalls11Macro Regime Detectormacro-regime-detector is a skill from tradermonty/claude-trading-skills that maps live macro readings into one of five historical regime classifications before portfolio or trading calls. Reference cases include documented periods such as 2023–2024 Magnificent Seven concentration, where RSP/SPY declined from ~0.32 to ~0.29 and top seven stocks drove roughly 60% of S&P 500 returns over ~18 months. The skill uses ETF ratio signals—RSP/SPY, IWM/SPY, HYG/LQD—and concentration characteristics to contextualize current conditions against historical parallels. Developers and quant engineers reach for macro-regime-detector when building or operating trading analytics that need a structured regime label before adjusting portfolio posture.1.1kinstalls12Earnings Calendarearnings-calendar in tradermonty/claude-trading-skills fetches structured upcoming earnings reports for a configurable week using the FMP API with mid-cap and above coverage above $2 billion market cap. Generated reports include an executive summary with total companies reporting, mega and large cap counts above $10 billion, mid cap counts between $2 billion and $10 billion, and peak reporting day. Daily sections split before-market-open tickers into tables with ticker, company, market cap, sector, EPS estimate, and revenue estimate columns across a 7-day coverage window. Developers reach for earnings-calendar when scanning market-moving events before trading sessions, macro research, or correlating product launches with sector earnings clusters. The skill formats output as markdown tables agents can paste into research notes or dashboards. Data source attribution to FMP API is explicit in the report header. Triggers include upcoming earnings week, FMP earnings calendar, BMO earnings table, and market cap filtered earnings scan.1.1kinstalls13Sector Analystsector-analyst is a trading-intelligence skill in tradermonty/claude-trading-skills that downloads TraderMonty public CSV files (sector_summary.csv and uptrend_ratio_timeseries.csv) via Python 3.9+ stdlib, then ranks sectors, scores cyclical vs defensive risk, and estimates one of four market-cycle phases. The bundled analyze_sector_rotation.py script outputs human-readable or JSON reports and optional chart supplements. Developers reach for sector-analyst when validating macro assumptions before roadmap or launch planning, not for live order execution. No API keys are required because data is pulled from a public GitHub dataset with a built-in freshness check.1kinstalls14Stanley Druckenmiller Investmentstanley-druckenmiller-investment is a conviction-report generator in tradermonty/claude-trading-skills that loads required and optional strategy skills and produces a Druckenmiller Strategy Synthesizer Report via report_generator.py. The output includes a conviction dashboard with a score out of 100, zone classification, recommended exposure range, and strongest/weakest component breakdowns. Developers reach for this skill when evaluating whether to commit capital, calibrate position sizing, or validate trading-feature designs against a multi-signal framework. The skill treats upstream strategy skills as composable inputs rather than running standalone market analysis.1kinstalls15Position Sizerposition-sizer is a trading reference skill focused on the most critical factor for long-term portfolio survival: how many shares to buy on each trade. It documents three primary sizing methods—Fixed Fractional percentage risk popularized by Van Tharp, ATR-based volatility-adjusted sizing, and Kelly Criterion optimal fraction sizing—along with when each applies and how bad sizing can destroy returns even on good stock picks. Developers building trading tools, journaling workflows, or agent-assisted execution reach for position-sizer when they need deterministic formulas for risk dollars, stop distance, and share counts before submitting brokerage orders.1kinstalls16Pair Trade Screenerpair-trade-screener is a tradermonty/claude-trading-skills statistical arbitrage tool for identifying pair trading opportunities. The screener tests cointegration for long-term equilibrium, calculates hedge ratios (beta), measures mean-reversion half-life, and generates entry and exit signals from z-score thresholds. Quant developers and trading engineers use it for sector-wide scans or custom pair analysis when relative value matters more than market direction. The README emphasizes market-neutral profit from spread movements regardless of broader index trends.965installs17Economic Calendar FetcherEconomic Calendar Fetcher is a finance integration skill from tradermonty/claude-trading-skills documenting the Financial Modeling Prep Economic Calendar API. It exposes the https://financialmodelingprep.com/api/v3/economic_calendar endpoint for upcoming and historical economic data releases, central bank decisions, and other market-moving scheduled events. API access requires a valid FMP apikey query parameter obtained from financialmodelingprep.com registration. Developers reach for Economic Calendar Fetcher when building trading agents, market dashboards, or alert workflows that must stay ahead of scheduled macro releases and rate decisions. The skill focuses on API authentication, endpoint usage, and event data retrieval rather than discretionary trade strategy.959installs18Breadth Chart Analystbreadth-chart-analyst is a claude-trading-skills agent skill that produces structured market breadth analysis reports from S&P 500 chart inputs. Reports include executive summary, strategic and tactical outlook labels, overall recommendation tiers from Aggressive Long through Short, and dedicated sections for Chart 1 (S&P 500 Breadth Index on 200-day MA) with metric tables for current readings and interpretation. Traders and quant developers reach for breadth-chart-analyst when they upload breadth charts and need a consistent narrative template instead of free-form commentary. The output is a dated analysis document suitable for journaling, alerts, or downstream automation in trading workflows.950installs19Vcp Screenervcp-screener is a tradermonty/claude-trading-skills workflow that screens US equities for Volatility Contraction Pattern setups via the Financial Modeling Prep API. Phase 1 pulls S&P 500 constituents, batches quote requests in groups of five across roughly 101 calls for 503 stocks, and prefilters candidates; later phases fetch up to 260-day historical price series for SPY and finalists. Developers with an FMP API key use it to replace manual chart review with a repeatable VCP scan. Invoke when you need live pattern detection rather than static FinViz filter URLs.945installs20Finviz Screenerfinviz-screener is a reference skill from tradermonty/claude-trading-skills that maps natural-language stock screening intent to FinViz filter codes and fully formed screener URLs. It documents public and Elite URL patterns with view, filter, order, and signal parameters, plus English and Japanese keyword mappings for each filter code. Developers and quant-adjacent engineers use it when they want Claude to emit valid `finviz.com/screener.ashx` or `elite.finviz.com` links instead of guessing filter syntax. Reach for it during daily screen refreshes, strategy prototyping, or chat-driven equity discovery.938installs21Market Breadth Analyzermarket-breadth-analyzer is a TraderMonty Claude trading skill that measures how broadly S&P 500 stocks participate in market moves. A healthy advance shows wide participation while narrowing leadership often precedes corrections. The methodology uses TraderMonty's breadth dataset across six dimensions—including the proportion of stocks above their 200-day moving average and an 8-day exponential moving average derivative—to output a composite health score from 0 (critical) to 100 (maximum health). Developers and quant engineers reach for market-breadth-analyzer before trading decisions or fintech product scoping when they need an objective read on market internals rather than index price alone.936installs22Us Market Bubble Detectorus-market-bubble-detector is a Claude trading skill from tradermonty/claude-trading-skills that runs objective, rules-based scans to detect when US equity markets are entering bubble territory. Version 2.1 removed subjective qualitative narrative adjustments that inflated scores in v2.0, restoring data-driven scoring where a quantitative Phase 2 score feeds a 16-point scale mapping to phases like Euphoria and corresponding risk-budget guidance. Developers reach for us-market-bubble-detector before committing capital, calibrating algo risk limits, or embedding macro regime checks into trading dashboards and alert pipelines. The skill emphasizes measurable inputs over media narrative impressions, reducing confirmation-bias drift in bubble assessments.931installs23Scenario AnalyzerScenario-analyzer is a trading reference skill from tradermonty/claude-trading-skills that documents how markets typically react to headline events. It catalogs monetary policy patterns such as Federal Reserve rate hikes with immediate, short-term, medium-term, and long-term equity, bond, and USD effects plus sector impact tables for financials, technology, real estate, and utilities. Developers use scenario-analyzer when agents must infer plausible future developments from past analogous events during trade planning or portfolio reviews. The skill supplies structured typical-pattern narratives rather than live market data feeds. It fits pre-trade stress testing where macro catalysts—FOMC decisions, inflation prints, or geopolitical shocks—could invalidate a thesis. Invoke it when evaluating how a position might behave across defined time horizons after a documented event class.914installs24Earnings Trade Analyzerearnings-trade-analyzer is an agent skill centered on analyze_earnings_trades.py, which pulls recent earnings reactions via the FMP API and scores each stock using five weighted factors: gap size at 25%, pre-earnings 20-day trend at 30%, volume trend at 20%, MA200 position at 15%, and MA50 position at 10%. Each candidate receives a composite score from 0–100 and a letter grade from A through D, with Grade A at 85+ signaling strong institutional accumulation. Default screening uses a 2-day lookback and top 20 results, sufficient on FMP free tier at 250 calls per day. Developers reach for earnings-trade-analyzer when building agent workflows for post-earnings momentum, PEAD candidate discovery, or scheduled after-close earnings reaction reviews.900installs25Edge Strategy Designeredge-strategy-designer is a trading workflow skill from tradermonty/claude-trading-skills that turns edge concepts into structured strategy draft YAML files. The design_strategy_drafts.py script writes one YAML per concept variant with fields including concept_id, variant, risk_profile, hypothesis_type, mechanism_tag, regime such as RiskOn, entry_family like pivot_breakout, entry conditions, and export_ready_v1 compatibility flags. The default agent prompt designs concrete strategy draft variants from edge concepts and emits exportable tickets when v1-compatible. Developers reach for edge-strategy-designer when systematic trading ideas need formalized hypotheses, balanced risk profiles, and machine-readable drafts before backtest or execution pipeline integration.890installs26Dividend Growth Pullback Screenerdividend-growth-pullback-screener is an agent skill with a Python script that combines FMP API fundamental screening and optional FINVIZ Elite pre-filtering to find dividend growth stocks meeting a 12%+ three-year CAGR, 1.5%+ yield, and RSI at or below 40. The two-stage FINVIZ plus FMP workflow reduces runtime from 10–15 minutes to 2–3 minutes and stays within FMP free-tier limits of 250 calls per day. Each candidate receives a composite score from 0–100 weighting dividend growth at 40%, financial quality at 30%, technical setup at 20%, and valuation at 10%. Developers reach for this skill when building trading automation or agent-driven equity research pipelines that need JSON and Markdown reports with entry timing by RSI zone.889installs27Market Top DetectorMarket Top Detector is an agent skill from tradermonty/claude-trading-skills encoding William O'Neil market-top detection from "How to Make Money in Stocks." A Distribution Day occurs when a major index (S&P 500 or NASDAQ Composite) declines by 0.2% or more on volume higher than the previous trading day, signaling institutional selling. Stalling day criteria complement distribution signals to judge uptrend pressure. Both price decline and volume conditions must be met for a valid distribution day reading. Developers and quantitative traders reach for Market Top Detector when building or running agent-assisted market regime checks that flag when a major index uptrend is under institutional distribution rather than relying on headline price moves alone.887installs28Uptrend Analyzeruptrend-analyzer is an agent skill that applies Monty's Uptrend Ratio methodology to classify US equity market conditions before trading decisions. It reads daily CSV data from the tradermonty/uptrend-dashboard GitHub repository, which tracks roughly 2,800 US stocks across 11 GICS sectors and flags uptrend names using Finviz Elite screener rules. A stock counts as uptrend only when price exceeds $10, average volume tops 100K, and all additional Finviz criteria pass simultaneously. Developers reach for uptrend-analyzer when building trading agents or dashboards that need a sector-level or market-wide uptrend confirmation gate before entries or strategy deployment.879installs29Theme Detectortheme-detector is a skill from tradermonty/claude-trading-skills that scans stock universes and industries to surface ranked emerging market themes before product or investment decisions. Output follows a Theme Detection Report template with a dashboard table scoring each theme on direction (LEAD/LAG), heat on a 0-100 scale, lifecycle stage (Emerging, Accelerating, Trending, Mature, Exhausting), and confidence. Reports log themes analyzed, industries scanned, total stocks reviewed, uptrend data status, and execution time. Quantitative traders, fintech engineers, and product strategists invoke theme-detector when they need data-backed theme rankings rather than anecdotal sector narratives to guide feature bets or market-facing positioning.870installs30Kanchi Dividend Us Tax AccountingKanchi Dividend US Tax Accounting is an agent skill that applies a US dividend account location matrix to recommend whether holdings belong in taxable or tax-advantaged accounts. It encodes baseline placement logic for qualified-dividend-heavy US equity, REIT-heavy income, and BDC or high-distribution structures with rationale about ordinary income versus qualified dividend treatment. Developers and quantitative investors reach for it when reviewing portfolio tax efficiency, annual tax planning, or dividend income placement across account types inside Cursor or Claude Code. The skill outputs structured placement guidance rather than trade execution or market forecasting.864installs31Edge Strategy Revieweredge-strategy-reviewer is a tradermonty Claude trading skill that critiques strategy drafts produced by edge-strategy-designer before they reach edge-candidate-agent or production pipelines. When strategy_drafts/*.yaml exists, the skill evaluates edge plausibility, overfitting risk, sample size adequacy, and execution realism, then emits PASS, REVISE, or REJECT verdicts with confidence scores. Quant developers reach for edge-strategy-reviewer after edge-strategy-designer generates drafts and before exporting to the candidate-agent pipeline. The skill is a deterministic checker—not a strategy generator—and pairs with edge-strategy-designer as a mandatory gate in the trading skills workflow.854installs32Ftd Detectorftd-detector is a Claude trading skill that implements William O'Neil Follow-Through Day detection to confirm market bottoms and guide equity re-entry timing. The skill tracks dual indexes—S&P 500 and NASDAQ—through a state machine covering rally attempts, FTD qualification, and post-FTD health monitoring. Developers and systematic traders invoke ftd-detector when evaluating whether corrections have ended and increasing equity exposure is justified. It complements defensive market-top-detector skills by focusing on offensive bottom-confirmation signals. Reach for ftd-detector when analyzing rally attempts, follow-through days, or post-correction re-entry decisions rather than discretionary chart reading alone.852installs33Edge Candidate Agentedge-candidate-agent is a trading research skill that transforms end-of-day US equity observations into reproducible research tickets and Phase I-compatible candidate specifications for the trade-strategy-pipeline. It generates and ranks long-side edge ideas, then exports strategy.yaml and metadata.json when ideas are validated, with preflight checks against the edge-finder-candidate/v1 interface before backtests run. Developers use it when hypotheses or anomalies must become structured pipeline inputs rather than ad hoc notes. Signal quality and schema compatibility are prioritized over aggressive strategy promotion.840installs34Data Quality Checkerdata-quality-checker is a tradermonty/claude-trading-skills validation workflow for market analysis documents and blog articles before publication. It checks five categories: price scale consistency between ETFs and futures, instrument notation errors, date and day-of-week mismatches, allocation total errors, and unit mismatches. Findings run in advisory mode as warnings for human review rather than hard blockers. The skill supports English and Japanese content. Developers and financial writers reach for data-quality-checker when drafting macro or markets posts where a wrong ticker scale or weekday typo undermines credibility. Activate when validating drafts that mix futures, ETFs, allocation tables, and dated price references.836installs35Strategy Pivot Designerstrategy-pivot-designer is a tradermonty agent skill that acts as a feedback loop in the Edge quantitative trading pipeline (hint-extractor, concept-synthesizer, strategy-designer, candidate-agent). When backtest scores plateau despite multiple refinement iterations, the skill diagnoses stagnation and proposes structurally different strategy pivot architectures—redesigning the strategy skeleton rather than tweaking parameters. Developers reach for strategy-pivot-designer when parameter tuning reaches a local optimum, when backtest metrics stop improving across iterations, or when they need agent-generated alternative strategy concepts to break out of repetitive optimization loops in automated trading research workflows.835installs36Edge Hint Extractoredge-hint-extractor is a Claude Code skill in tradermonty/claude-trading-skills that transforms raw observation signals—market_summary entries, anomalies, and news reactions—into canonical edge hint objects written to hints.yaml. It is the first stage in a split workflow: observe, abstract, design, pipeline. Optional LLM ideation generates ideas constrained by current anomaly and news context so hints stay grounded in live market data. Quantitative developers and systematic traders use edge-hint-extractor when daily journals or feeds need to become reusable structured inputs for concept synthesis and automated edge detection pipelines rather than ad-hoc notes.833installs37Pead Screenerpead-screener is a Post-Earnings Announcement Drift screening skill for US stocks that gapped up after earnings. It analyzes weekly candle formations to flag red-candle pullbacks and breakout signals tied to earnings momentum. Two input modes are supported: Mode A pulls from the FMP earnings calendar and Mode B ingests earnings-trade-analyzer JSON output. Developers invoke pead-screener when researching post-earnings drift, gap follow-through, red candle breakout patterns, or weekly earnings momentum setups instead of manual chart review across many tickers.831installs38Edge Concept Synthesizeredge-concept-synthesizer creates an abstraction layer between market detection and strategy implementation for algorithmic trading workflows. The skill clusters ticket evidence, summarizes recurring conditions, and outputs edge_concepts.yaml containing explicit thesis statements and invalidation signals plus strategy playbooks. Developers use it when many raw tickets need mechanism-level structure and concept review before drafting strategies. The skill requires Python 3.9+ and helps avoid direct ticket-to-strategy overfitting during quantitative strategy design inside Claude.829installs39Dual Axis Skill Reviewerdual-axis-skill-reviewer is a Claude Code skill from tradermonty/claude-trading-skills that reviews agent skills using two axes: deterministic code-based checks for structure, scripts, tests, and execution safety, plus LLM deep review findings. It works across projects via --project-root, supports random or fixed skill selection, auto-axis scoring with optional test execution, and saves reports to a reports/ directory. Developers reach for dual-axis-skill-reviewer when they need reproducible quality scoring for skills/*/SKILL.md files or want to gate merges with thresholds such as 90+. The skill also generates LLM prompts and parses JSON review output.817installs40Kanchi Dividend SopKanchi Dividend SOP is an agent skill from tradermonty/claude-trading-skills that implements Kanchi's 5-step dividend method as a deterministic US-stock operating procedure. It covers dividend screening, dividend growth quality checks, PER×PBR adaptation for US sectors, pullback limit-order entry planning, one-page stock memos, and post-purchase monitoring cadence. Developers and engineers automating investment research reach for it when users ask for かんち式配当投資, dividend screening, or safety-first yield workflows adapted from Japanese Kanchi rules to US markets. The skill prioritizes safety and repeatability over aggressive yield chasing.733installs41Trader Memory Coretrader-memory-core is a claude-trading-skills state layer that bundles screening, analysis, position sizing, and portfolio outputs into one thesis object per investment idea. Developers and quantitative traders invoke it on phrases like register thesis, track this idea, thesis status, review due, close position, postmortem, or trading journal. The skill registers theses from screener outputs, manages state transitions, attaches sizing metadata, enforces review due dates, and generates postmortem reports with profit-and-loss plus MAE/MFE analysis when positions close. Trader Memory Core answers what was believed, what changed, and what happened across the full idea lifecycle. Reach for it when AI agents must maintain structured trading memory instead of losing context between screens, entries, and exits.733installs42Trade Hypothesis Ideatortrade-hypothesis-ideator from tradermonty/claude-trading-skills generates structured trading research from normalized input bundles containing market data, trade logs, and journal snippets. The workflow produces one to five hypothesis cards, critiques and ranks them, and can export pursue-worthy cards into strategy.yaml plus metadata.json artifacts compatible with edge-finder-candidate/v1. Each card emphasizes falsifiable claims, experiment design, and kill criteria so developers discard weak edges early. Reach for trade-hypothesis-ideator after collecting observations that hint at a market edge but before coding a full backtest stack. It suits systematic traders and quant-minded engineers documenting discretionary insights who want YAML-ready strategy candidates. Skip it when you need live execution, broker connectivity, or purely qualitative macro narratives without structured inputs or export schemas.727installs43Kanchi Dividend Review Monitorkanchi-dividend-review-monitor is a claude-trading-skills module for dividend holdings surveillance using Kanchi-style forced-review triggers labeled T1 through T5. It treats automation as anomaly detection only—flagging dividend cuts, governance signals, and 8-K keyword hits—then classifies positions into OK, WARN, or REVIEW without executing sells. The skill supports daily, weekly, or quarterly cadences and responds to Japanese and English prompts around 減配検知, 8-K governance monitoring, and REVIEW queue automation. Developers reach for it when maintaining dividend income portfolios that need systematic escalation to human review rather than blind algo trading. It outputs structured review queues, not brokerage orders.723installs44Edge Pipeline Orchestratoredge-pipeline-orchestrator is a workflow skill from tradermonty/claude-trading-skills that chains edge research stages into one automated run. It loads pipeline configuration from CLI arguments, processes tickets or OHLCV inputs, moves through candidate detection, strategy design, review, and revision loops, then exports finalized strategies. Developers can resume partially completed runs from the drafts stage or dry-run to preview outputs without exporting. Reach for edge-pipeline-orchestrator when quant research steps are already scripted separately but need reliable end-to-end coordination with feedback loops instead of manual handoffs between notebooks and scripts.714installs45Edge Signal Aggregatoredge-signal-aggregator is an agent skill from tradermonty/claude-trading-skills that merges signals from upstream edge-finding skills—edge-candidate-agent, theme-detector, sector-analyst, and institutional-flow-tracker—into a single weighted conviction dashboard. The skill applies configurable signal weights, deduplicates overlapping themes, flags contradictions between skills, and ranks composite edge ideas by aggregate confidence score. Developers reach for it when multiple specialized trading agents produce parallel outputs that need unified prioritization with provenance links. Output is a ranked edge shortlist, not trade execution. Skip when only a single upstream signal source is available.704installs46Signal Postmortemsignal-postmortem is a Claude Code skill from tradermonty/claude-trading-skills that analyzes trading signal outcomes after execution. It compares predicted edge direction against 5-day and 20-day realized returns, then labels each signal as a true positive, false positive, missed opportunity, or regime mismatch. Results flow back into edge-signal-aggregator weight adjustments and a skill improvement backlog so screening and signal skills learn from live market feedback. Developers reach for signal-postmortem when an edge pipeline, screener, or aggregator is generating signals and they need structured post-trade attribution instead of anecdotal review.700installs47Exposure Coachexposure-coach is a tradermonty Claude trading skill that merges outputs from eight upstream analyzers—market-breadth-analyzer, uptrend-analyzer, macro-regime-detector, market-top-detector, ftd-detector, theme-detector, sector-analyst, and institutional-flow-tracker—into a one-page Market Posture summary. The skill reports net exposure ceiling, growth-versus-value bias, participation breadth, and whether new entries or cash priority is warranted. Developers reach for exposure-coach when building or running automated trading workflows that need a single control-plane decision before stock-level analysis. It acts as the capital-allocation layer above individual signal skills in the claude-trading-skills repo.696installs48Skill DesignerSkill Designer is an Agent Skill from tradermonty/claude-trading-skills used in skill auto-generation pipelines. Given a structured skill idea specification, it emits a comprehensive Claude CLI prompt instructing Claude to create a full skill directory following repository conventions: SKILL.md with YAML frontmatter, reference documents, helper scripts, and test scaffolding. Developers reach for Skill Designer when a backlog idea is selected and the pipeline needs a prompt that reliably produces convention-compliant skill packages. The skill sits upstream of manual authoring, standardizing how new capabilities enter claude-trading-skills or similar registries without hand-writing every folder layout.694installs49Skill Idea Minerskill-idea-miner is a Claude Code skill in tradermonty/claude-trading-skills that turns recent Claude Code session logs into scored skill-idea candidates for a downstream generation pipeline. Stage one runs scripts/mine_session_logs.py over allowlisted projects in ~/.claude/projects/, filters the past 7 days, detects signals such as skill path references, error patterns, repetitive tool sequences, and unresolved requests, then emits raw_candidates.yaml. Stage two runs scripts/score_ideas.py to deduplicate with Jaccard similarity above 0.5 and score novelty, feasibility, and trading value through headless Claude CLI calls, merging results into logs/.skill_generation_backlog.yaml. Developers reach for skill-idea-miner on the weekly launchd run at Saturday 06:00 or when manually refreshing a skill backlog with python3 scripts/run_skill_generation_pipeline.py --mode weekly. Prerequisites are Python 3.10+, pyyaml, and an authenticated Claude CLI with no separate API keys.688installs50Skill Integration Testerskill-integration-tester is a tradermonty/claude-trading-skills agent skill that automatically validates multi-skill workflows declared in CLAUDE.md before changes merge. It executes each pipeline step in sequence—covering workflows like Daily Market Monitoring, Weekly Strategy Review, and Earnings Momentum Trading—and verifies that step N outputs match step N+1 inputs via JSON schema compatibility checks. The skill also audits skill existence, inter-skill data contracts, file naming conventions, and handoff integrity across the full chain. Developers reach for skill-integration-tester when adding new workflows, modifying skill outputs, or confirming pipeline health ahead of release. It requires no API key and targets repositories where multiple Claude skills pass structured JSON between stages. Use it to catch broken references, schema mismatches, and naming drift that unit tests on individual skills would miss.688installs51Downtrend Duration Analyzerdowntrend-duration-analyzer is a skill in tradermonty/claude-trading-skills focused on quantifying downtrend length from price series so trading logic can use duration statistics instead of guesswork. Developers reach for downtrend-duration-analyzer when backtesting strategies, building alert conditions, or documenting regime behavior where knowing typical downtrend spans improves stop placement and re-entry timing. The skill fits agent sessions analyzing OHLCV or tick-derived series where the goal is structured duration metrics, histograms, or threshold recommendations rather than generic chart commentary. Use it when duration distributions should inform position sizing or filter rules in automated trading code.632installs52Breakout Trade Plannerbreakout-trade-planner is a Claude Code skill from tradermonty/claude-trading-skills that turns VCP screener JSON into concrete trade plans with entry, stop-loss, and target prices. A Python script `skills/breakout-trade-planner/scripts/planner.py` accepts `--input reports/vcp_screener.json` and `--account-size` values, requires no market data API keys, and sizes positions using worst-case fill prices rather than optimistic signal entries. Gate rules include `composite_score >= 70`, `risk_pct_worst <= 8%`, and breakout checks such as `distance_from_pivot <= 2%`. The planner classifies candidates into actionable, revalidation, watchlist, rejected, deferred, and constrained buckets and emits two Alpaca-compatible bracket templates per candidate: pre-place auto-trigger and post-confirm 5-minute candle verification. Developers invoke it after the VCP Screener when they need share counts, stop levels, and order JSON before execution.598installs53Ibd Distribution Day Monitoribd-distribution-day-monitor is a production-status skill from tradermonty/claude-trading-skills that automates William O'Neil CAN SLIM distribution day detection for QQQ and SPY indices. A distribution day triggers when an index closes down at least 0.2% on higher volume than the prior session. The skill tracks 25-session expiration and 5% price-recovery invalidation separately, counting d5, d15, and d25 active clusters to classify market risk as NORMAL, CAUTION, HIGH, or SEVERE. It emits TQQQ-weighted exposure recommendations (100/75/50/25%) with trailing-stop adjustments via the ibd_monitor.py script (rule version ibd_dd_v1.0). Daily QQQ and SPY OHLCV data comes from the Financial Modeling Prep API. The skill produces auditable JSON and Markdown reports but does not execute trades.508installs54Parabolic Short Trade Plannerparabolic-short-trade-planner is a tradermonty claude-trading-skills workflow with three Python phases and schema_version 1.0 JSON outputs. Phase 1 screen_parabolic.py pulls EOD bars from FMP, applies mode-aware invalidation rules, and scores survivors on five weighted factors (30/25/20/15/10) with A–D grades. Phase 2 generate_pre_market_plan.py filters tradable B+ names, checks Alpaca short inventory and SEC Rule 201 SSR, and renders three trigger plans per candidate (ORL break, first red 5-min, VWAP fail). Phase 3 monitor_intraday_trigger.py walks a one-shot FSM on 5-min Alpaca bars, emitting shares_actual when triggered. The skill never routes orders—developers use it to produce JSON and Markdown plans for manual broker review.502installs55Trading Skills Navigatortrading-skills-navigator: A skill for development. This provides functionality for development workflows.437installs56Trade Performance Coachtrade-performance-coach: A skill for development. This provides functionality for development workflows.394installs