@tradermonty

market-top-detector quantifies 2-8 week correction probability using distribution day accumulation, leading stock deterioration, and sector rotation signals. produces 0-100 composite score with risk zone mapping and sensitivity analysis.

us-market-bubble-detector applies a two-phase quantitative then qualitative framework to assess market bubble risk, using six measured indicators (put/call ratio, vix, margin debt, ipo activity, breadth, price acceleration) with strict thresholds and explicit confirmation bias controls to generate a 0-15 point risk score.

kanchi-dividend-review-monitor detects abnormal dividend-risk signals across holdings via t1-t5 triggers and routes findings into deterministic ok/warn/review states for human validation before any position action.

portfolio-manager integrates alpaca mcp server to fetch live holdings and perform multi-dimensional analysis covering asset allocation, diversification, risk metrics, individual positions, and rebalancing. generates detailed reports with actionable recommendations.

edge-strategy-reviewer applies deterministic quality gates to trading strategy drafts via 8 weighted criteria, producing pass/revise/reject verdicts with confidence scoring and export eligibility assessment.

skill-idea-miner extracts and scores skill candidates from claude code session logs via automated signal detection and claude-based abstraction, feeding a prioritized backlog for downstream generation.

edge-pipeline-orchestrator chains market analysis, edge detection, and strategy synthesis into a resumable multi-stage pipeline with review-revision loops, supporting both raw ohlcv and ticket-based entry points.

edge-hint-extractor converts market observations, anomalies, and news into structured hints.yaml for downstream concept synthesis, with optional llm augmentation via external cli or pre-written files.

validates multi-skill workflows by testing inter-skill data contracts, json schema compatibility, and file naming conventions across sequential execution steps with dry-run support.

edge-concept-synthesizer clusters detector tickets into abstracted concepts with thesis and invalidation signals, enabling concept-level review before strategy implementation without direct overfitting.

earnings-calendar fetches upcoming us stock earnings from the financial modeling prep api, filtering companies by market cap threshold and organizing results by date and timing relative to market hours.

canslim-screener implements william o'neill's seven-factor growth stock methodology across us equities. combines fundamental earnings and growth metrics with technical momentum signals and institutional ownership data via fmp and finviz apis. outputs ranked candidate lists with composite 0-100 scores.

sector-analyst ranks sectors and estimates market cycle phase by analyzing uptrend ratios from a public csv dataset, with optional chart image support to contextualize risk regime positioning.

uptrend-analyzer diagnoses market breadth health across 11 sectors using monty's uptrend ratio dashboard data, outputs a 0-100 composite score and sector-level exposure guidance without api dependencies.

trader-memory-core manages thesis lifecycle state from screening through postmortem, bundling candidates, position data, and learned lessons in persistent objects indexed by ticker and thesis type.

dividend-growth-pullback-screener identifies high-growth dividend stocks (12%+ cagr, 1.5%+ yield) experiencing technical weakness via rsi oversold conditions, targeting long-term compounding opportunities during market pullbacks.

theme-detector identifies and ranks market themes across sectors using momentum, volume, and breadth signals, classifying lifecycle stage and confidence level. integrates finviz data with narrative confirmation for thematic trading insights.

signal-postmortem compares predicted signal direction against realized returns at 5 and 20-day horizons, categorizes outcomes as true positive/false positive/missed opportunity/regime mismatch, and feeds quality metrics to weight adjustments and backlog generation. scope and intent are clear, but execution steps lack detail.

meta-skill that consumes 8 upstream skill outputs to produce a composite conviction score, market pattern classification, and allocation recommendations. requires structured json inputs, no external api keys.

market-news-analyst collects and ranks market-moving news across six categories over a 10-day window, combining web search with impact scoring and cross-asset reaction analysis to generate structured markdown reports.

market-environment-analysis collects real-time market data via web search to construct multi-asset briefings covering equities, forex, commodities, and volatility. workflow is data-driven but output format and decision logic remain underspecified.

fetches scheduled economic events from the fmp api across major economies and impact levels. requires assistant-side filtering and markdown assembly; returns raw json for further processing.

data-quality-checker detects inconsistencies in market analysis documents across five categories (price scales, notation, dates, allocations, units) and surfaces advisory flags for human review before publication.

ftd-detector identifies follow-through day signals using o'neil methodology across dual indices (s&p 500, nasdaq) to confirm market bottoms and guide re-entry timing after corrections.

vcp-screener identifies stage 2 uptrend stocks in the s&p 500 exhibiting mark minervini's volatility contraction pattern via technical analysis of tight bases and volatility metrics, outputting candidates with defined breakout risk levels.

us-stock-analysis outlines a multi-framework approach to equity research combining fundamental and technical analysis via web search, but lacks concrete procedural steps and failure handling.

breadth-chart-analyst interprets s&p 500 breadth index and uptrend stock ratio charts to extract strategic and tactical trading signals, with support for both image and csv data inputs.

trade-hypothesis-ideator generates ranked hypothesis cards from normalized input bundles, applies critique filtering, and exports viable hypotheses to strategy artifacts. domain-specific to trading/investment thesis development.

institutional-flow-tracker monitors 13f filings to identify ownership changes among institutional investors like hedge funds and pension funds, surfacing potential trading signals from smart money flows.

macro-regime-detector identifies structural market transitions over 1-2 year horizons via monthly cross-asset ratio analysis. triggers on regime questions, concentration vs broadening inquiries, and yield curve signals. incomplete procedure documentation and no failure modes specified.

exposure-coach aggregates eight upstream market-analysis skills to synthesize a unified capital-commitment recommendation for solo equity traders, answering how much of the portfolio to deploy before individual stock selection.

value-dividend-screener — an installable skill for AI agents, published by tradermonty/claude-trading-skills.

backtest-expert — an installable skill for AI agents, published by tradermonty/claude-trading-skills.

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Build and open FinViz screener URLs from natural language requests. Use when user wants to screen stocks, find stocks matching criteria, filter by fundamentals…

Provide US dividend tax and account-location workflow for Kanchi-style income portfolios. Use when users ask about qualified vs ordinary dividends, 1099-DIV…

Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.

Screen post-earnings gap-up stocks for PEAD (Post-Earnings Announcement Drift) patterns. Analyzes weekly candle formation to detect red candle pullbacks and…

Convert Kanchi-style dividend investing into a repeatable US-stock operating procedure. Use when users ask for かんち式配当投資, dividend screening, dividend growth…

Review skills in any project using a dual-axis method: (1) deterministic code-based checks (structure, scripts, tests, execution safety) and (2) LLM deep…

Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a…

skill-designer — an installable skill for AI agents, published by tradermonty/claude-trading-skills.

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

Generate and prioritize US equity long-side edge research tickets from EOD observations, then export pipeline-ready candidate specs for trade-strategy-pipeline…

Analyze recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position). Scores each…

Quantifies market breadth health using TraderMonty's public CSV data. Generates a 0-100 composite score across 6 components (100 = healthy). No API key…

Calculate risk-based position sizes for long stock trades. Use when user asks about position sizing, how many shares to buy, risk per trade, Kelly criterion,…

Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior,…

technical-analyst — an installable skill for AI agents, published by tradermonty/claude-trading-skills.

Options trading strategy analysis and simulation tool. Provides theoretical pricing using Black-Scholes model, Greeks calculation, strategy P/L simulation, and…