claude-trading-skills

Product Introduction

1. Definition: claude-trading-skills is a specialized, modular repository of Claude Code skills and automated workflows designed specifically for equity investors, quantitative analysts, and independent day traders. Functioning as an extensible assistant integration framework, it equips the Claude AI coding and reasoning environment with programmatic data access, deterministic calculation engines, and domain-specific trading frameworks. The technical category encompasses AI-assisted market analysis toolkits, quantitative screening automation, and LLM-driven trading strategy development infrastructure.

2. Core Value Proposition: This product exists to bridge the gap between unstructured generative AI capabilities and rigorous, rules-based quantitative finance. By packaging institutional-grade investment methodologies—such as CANSLIM, VCP (Volatility Contraction Pattern), momentum burst detection, and macroeconomic regime analysis—into executable, modular Claude skills, it transforms standard LLM interactions into an empirical trading assistant. It eliminates common AI hallucinations in financial contexts by enforcing strict data provenance contracts, offline validation layers, and quantitative evaluation steps before delivering market insights, backtest metrics, or trade hypotheses.

Main Features

1. Advanced Quantitative Screening Suites: The system incorporates sophisticated filtering engines including FinViz Screener, CANSLIM Screener, VCP Screener, Stockbee Momentum Burst Screener, and PEAD (Post-Earnings-Announcement Drift) analyzers. These features execute programmatic queries against financial data providers (such as Financial Modeling Prep clients), applying strict threshold logic to filter equities by fundamental growth, price action compression, institutional accumulation, and volume anomalies without manual spreadsheet overhead.

2. Macroeconomic and Market Regime Analysis: Powered by dedicated modules like the Macro Regime Detector, Market Top Detector, US Market Bubble Detector, and IBD Distribution Day Monitor, this suite continuously parses economic calendars, FTD (Follow-Through Day) detectors, and market breadth indicators. It runs quantitative evaluation algorithms to assess overarching systemic risk, shifting between risk-on and risk-off classifications to govern user portfolio exposure safely.

3. Backtesting, Risk Management, and Strategy Orchestration: Featuring a comprehensive Backest Expert, Position Sizer, Drawdown Circuit Breaker, and Edge Strategy Designer, the platform enforces stringent risk protocols. It computes dynamic position sizing metrics based on account equity and volatility, simulates historical performance via integrated backtesting engines (such as Manifoldbt and MT5 robot test runners), and structures systematic trade hypotheses from ideation to post-trade execution analysis.

Problems Solved

1. Pain Point: Retail investors and solo traders frequently struggle with information overload, unverified AI financial hallucinations, lack of programmatic coding infrastructure for custom screeners, and emotional discipline breakdowns during volatile market drawdowns. claude-trading-skills solves these issues by automating data validation, enforcing quantitative evaluation before bubble or trend verdicts, and running deterministic scripts to eliminate subjective bias.

2. Target Audience: The platform is engineered for independent equity investors, quantitative swing traders, systematic algorithmic traders, algorithmic trading developers, and financial analysts who utilize AI coding interfaces to scale their research, backtest hypotheses, and execute structured screening routines.

3. Use Cases: Essential scenarios include running nightly multi-factor equity scans for high-momentum setups (like Stockbee bursts or CANSLIM setups), evaluating macroeconomic regime health prior to deploying capital, orchestrating pairwise trading strategies, executing post-trade forensic analysis via automated signal postmortems, and generating comprehensive weekly performance digests with strict risk metrics.

Unique Advantages

1. Strengths & Limitations (Pros & Cons):

   • Strengths: Exceptional domain depth covering institutional strategies (Stanley Druckenmiller methods, Shapiro COT models, Kanchi dividend workflows); robust data hygiene protocols with fail-closed consumer contracts; comprehensive bilingual support (English and Japanese documentation); and an extensive library of automated testing, unit-test evidence inventories, and offline environment doctor scripts.
   • Limitations: Requires technical familiarity with Claude Code and command-line interfaces; heavily dependent on external API rate limits and data provider uptime (e.g., FMP client migrations); and requires users to maintain their own brokerage execution pipelines since the tool focuses on analysis, screening, and strategy design rather than direct order execution routing.

2. Key Alternatives & Differentiation:

   • Compared to Traditional FinTech Platforms (TradingView, TrendSpider): While platforms offer closed-source proprietary indicators, claude-trading-skills provides open, extensible, AI-native workflows that allow traders to customize underlying Python scripts, modify screeners programmatically, and query custom market indicators through natural language prompts.
   • Compared to Raw LLM Prompts: Standard LLM interfaces lack context on current market data and consistently output hallucinated technical indicators. This product differentiates itself via strict Knowledge-Only Skill Test Contracts, automated quality dashboard evidence refreshes, and verified data provenance contracts that ensure numbers are derived from deterministic computations rather than generative guesswork.

Frequently Asked Questions (FAQ)

1. What is claude-trading-skills and how does it integrate with Claude? claude-trading-skills is a curated collection of specialized prompts, Python scripts, and workflow definitions designed for the Claude Code environment. It extends Claude's core capabilities by equipping it with deterministic market analysis functions, API connectors for financial data, and structured templates for technical charting, backtesting, and portfolio management.

2. Does claude-trading-skills execute live trades automatically on my brokerage account? No. The product is strictly engineered for market analysis, technical charting, screening, risk calculation, and trading strategy development. It operates as an analytical assistant and quantitative research framework, leaving order execution under the manual control of the trader or via separate integrated execution algorithms (such as MT5 robot testers).

3. How does the system prevent AI financial hallucinations? The repository enforces rigorous code hygiene, fail-closed data consumer contracts, quantitative evaluation prerequisites before rendering bubble or market verdicts, and automated unit-test evidence inventories. This architecture ensures that numerical outputs, screener results, and risk metrics are calculated through verified programmatic scripts rather than generative text estimation.

4. What trading methodologies and strategies are supported out of the box? The skill catalog supports a vast array of proven trading frameworks, including CANSLIM growth investing, Volatility Contraction Pattern (VCP) breakouts, Stockbee momentum bursts and episodic pivots, PEAD (Post-Earnings-Announcement Drift) trading, Commitment of Traders (COT) contrarian analysis, dividend growth pullbacks, and macroeconomic regime tracking.