markov-hedge-fund-method

Q: How to install markov-hedge-fund-method?

Create the skills directory: mkdir -p .claude/skills. Then run: mkdir -p .claude/skills && curl -o .claude/skills/markov-hedge-fund-method.md https://raw.githubusercontent.com/jackson-video-resources/markov-hedge-fund-method/main/SKILL.md. Finally, /markov-hedge-fund-method in Claude Code.

Q: What is markov-hedge-fund-method best for?

markov-hedge-fund-method is categorized under General.

New

GitHub TrendingGeneralby jackson-video-resources

Markov regime detection skill + one-shot install prompt + Pine indicator. Companion to Quant Series video 1. Framework by Roan (@RohOnChain).

First seen 5/22/2026

Summary

This skill implements Markov regime detection for financial time series, enabling developers to identify market states (bull, bear, neutral) and integrate them into trading strategies.

It includes a one-shot install prompt and a Pine Script indicator, making it easy to deploy in Claude Code for quantitative analysis.

Install & Usage

Create the skills directory

mkdir -p .claude/skills

Download the skill file

mkdir -p .claude/skills && curl -o .claude/skills/markov-hedge-fund-method.md https://raw.githubusercontent.com/jackson-video-resources/markov-hedge-fund-method/main/SKILL.md

Invoke in Claude Code

/markov-hedge-fund-method

Use Cases

Detecting hidden Markov regimes in historical price data to classify market phases.

Generating a Pine Script indicator for TradingView that visualizes regime states.

Backtesting a simple hedge fund strategy that switches allocations based on detected regimes.

Integrating regime detection into an existing Python trading bot for adaptive decision-making.

Analyzing cryptocurrency or stock data to identify regime shifts and volatility clusters.

Creating a one-shot setup script that installs all dependencies and runs the model on sample data.

Usage Examples

/markov-hedge-fund-method analyze regime on BTC-USD daily data from 2020-01-01 to 2023-12-31

Generate a Pine Script indicator for regime detection and explain how to add it to TradingView

Run the one-shot install and then backtest a regime-switching strategy on SPY data

View source on GitHub

Security Audits

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Frequently Asked Questions

What is markov-hedge-fund-method?

This skill implements Markov regime detection for financial time series, enabling developers to identify market states (bull, bear, neutral) and integrate them into trading strategies. It includes a one-shot install prompt and a Pine Script indicator, making it easy to deploy in Claude Code for quantitative analysis.

How to install markov-hedge-fund-method?

To install markov-hedge-fund-method: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/markov-hedge-fund-method.md https://raw.githubusercontent.com/jackson-video-resources/markov-hedge-fund-method/main/SKILL.md. Finally, /markov-hedge-fund-method in Claude Code.

What is markov-hedge-fund-method best for?

markov-hedge-fund-method is a skill categorized under General. Created by jackson-video-resources.

What can I use markov-hedge-fund-method for?

markov-hedge-fund-method is useful for: Detecting hidden Markov regimes in historical price data to classify market phases.; Generating a Pine Script indicator for TradingView that visualizes regime states.; Backtesting a simple hedge fund strategy that switches allocations based on detected regimes.; Integrating regime detection into an existing Python trading bot for adaptive decision-making.; Analyzing cryptocurrency or stock data to identify regime shifts and volatility clusters.; Creating a one-shot setup script that installs all dependencies and runs the model on sample data..