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
uvif 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
Project details
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