AI Investing Directory

Quant tools

The directory

123 projects

Quant tools

TWZRD Agent Intel

On-chain trust scoring for Solana agent-wallet behavior

Quant tools

Sato Hub

On-chain agent-tool index

Quant tools

TrendSpider

An integrated trading platform for charting, automated analysis, and strategy testing.

Quant tools

Glassnode

On-chain metrics including MVRV and SOPR

Quant tools

Helixa

Agent identity and Cred Score on Base

Quant tools Unknown

Kelp

A trading bot for the Stellar marketplace and centralized exchanges.

Quant tools Unknown

AutomatedStockTrading-DeepQ-Learning

Code for a deep-Q-learning stock-trading experiment.

Quant tools Unknown

yfinance

A Python library for retrieving Yahoo Finance market data.

Quant tools Unknown

PyPortfolioOpt

A Python library offering portfolio-optimization methods.

Quant tools Unknown

empyrical

A Python library for common financial performance and risk metrics.

Quant tools Unknown

machine-learning-for-trading

Code accompanying a machine-learning-for-trading textbook.

Quant tools Unknown

Dexter

Financial research project

Quant tools Unknown

vnpy

A Python framework for developing quantitative trading systems.

Quant tools Unknown

alphalens

A Python library for analyzing predictive stock factors.

Quant tools Unknown

Lean

An open-source algorithmic trading engine for research, backtesting, and live trading.

Quant tools Unknown

RL-Bitcoin-trading-bot

An educational project for experimenting with reinforcement-learning Bitcoin trading.

Quant tools Unknown

kalshi-ai-trading-bot

A toolkit for research and trading workflows on Kalshi.

Quant tools Unknown

skfolio

A Python library for portfolio optimization, factor models, and risk management.

Quant tools Unknown

Congress Trading Pipeline

Pipeline for US House and Senate STOCK Act trade disclosures (PTRs)

Quant tools Unknown

zipline

An event-driven Python library for algorithmic trading and backtesting.

Filters

Filters

Reset
Markets
Coding required
How you use it
Running costs

Projects with unknown information do not match explicit requirements.