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Quantitative research platform CLI with specialized agents for various research types

Project description

Finter Agent

Quantitative research platform CLI with specialized agents for various research types including signal research, data analysis, machine learning, and backtesting.

Installation

Install via uv (recommended):

uv tool install finter-agent

Or via pip:

pip install finter-agent

Usage

Initialize a new quantitative research environment with specialized agents:

Signal Research (Trading Strategies)

finter-agent init --signal

Data Research (Analysis & Processing)

finter-agent init --data

Machine Learning Research

finter-agent init --ml

Backtesting Research

finter-agent init --backtest

With Custom Project Name

finter-agent init --name my-quant-project --signal

Default type is signal if no research type is specified:

finter-agent init  # Creates a signal research environment

What it does

The init command will:

  • ✅ Check and install uv if needed
  • 🏗️ Create a new project directory
  • 🐍 Set up Python virtual environment with uv
  • 📦 Install necessary dependencies
  • 🤖 Add specialized Claude Code agents for your research type
  • 📝 Include CLAUDE.md configuration for optimal development
  • 🚀 Configure development environment for quantitative research

Research Types

  • Signal: Trading strategy development and signal generation
  • Data: Data analysis, cleaning, and feature engineering
  • ML: Machine learning model development and evaluation
  • Backtest: Strategy backtesting and performance analysis

Requirements

  • Python 3.12+
  • Internet connection for package installation

Development

To contribute to this project:

git clone https://github.com/quantit/finter-agent.git
cd finter-agent
uv sync
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

License

MIT License

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