Projects

Discover tools, frameworks, and platforms across the financial AI ecosystem.

Empyrical

quant-platforms

Python library for financial risk and performance metrics used in quantitative analysis.

high confidence reviewed

Pyfolio

quant-platforms

Python library for portfolio performance analysis and risk metrics with quantitative tear sheets.

high confidence reviewed

Alphalens

quant-platforms

Python library for factor analysis and alpha research in quantitative trading strategies.

high confidence reviewed

XGBoost

developer-infrastructure

Optimized gradient boosting library widely used in quantitative finance for factor models and predictions.

high confidence reviewed

TradingAgents

ai-agents

Multi-agent LLM framework for collaborative financial trading and portfolio management.

medium confidence reviewed

TensorFlow

developer-infrastructure

End-to-end open-source machine learning platform used in financial AI and deep learning research.

high confidence reviewed

scikit-learn

developer-infrastructure

Python machine learning library providing tools for predictive modeling, feature engineering, and validation.

high confidence reviewed

QuantLib

quant-platforms

C++ library for quantitative finance including derivatives pricing, risk, and fixed income analytics.

high confidence reviewed

DeepTrader

ai-agents

Deep reinforcement learning framework for automated trading strategy optimization.

low confidence reviewed

Alpaca Markets

brokerage-execution

Commission-free trading API platform for US equities with brokerage and market data services.

high confidence reviewed

TA-Lib

data-tooling

Technical analysis library with 200+ indicators for financial market data analysis.

high confidence reviewed

Tulip Indicators

data-tooling

C library for technical analysis of financial market data with bindings for Python and other languages.

high confidence reviewed

vn.py

quant-platforms

Python trading framework for Chinese markets with multi-broker and exchange connectivity.

high confidence reviewed

Jupyter Notebook

developer-infrastructure

Interactive web-based computing environment widely used for quant research, prototyping, and data analysis.

high confidence reviewed

PyTorch

developer-infrastructure

Open-source machine learning framework used extensively in financial AI research and quant models.

high confidence reviewed

Pandas

developer-infrastructure

Essential Python data analysis library providing DataFrame structures for time series and financial data.

high confidence reviewed

NumPy

developer-infrastructure

Fundamental Python library for numerical computing and array operations used across quant finance.

high confidence reviewed

Schwab-py

brokerage-execution

Python SDK for Charles Schwab API providing trading and market data access.

medium confidence reviewed

Tradier.py

brokerage-execution

Python wrapper for the Tradier brokerage API providing options and equity trading access.

medium confidence reviewed

Robin Stocks

brokerage-execution

Python library for interacting with Robinhood trading platform for commission-free investing.

high confidence reviewed

ib_insync

brokerage-execution

Python API wrapper for Interactive Brokers providing asynchronous and synchronous trading access.

high confidence reviewed

Alpaca-py

brokerage-execution

Python SDK for Alpaca Markets commission-free trading API with real-time market data.

high confidence reviewed

Streamlit

data-tooling

Python framework for building interactive data apps and financial dashboards.

high confidence reviewed

Plotly

data-tooling

Interactive graphing library for Python and R used extensively in financial data visualization.

high confidence reviewed

mplfinance

data-tooling

Matplotlib-based Python library for financial market data visualization and charting.

high confidence reviewed

InvestPy

data-tooling

Python library for retrieving financial data from Investing.com including stocks, funds, and indices.

medium confidence reviewed

yfinance

data-tooling

Python library for downloading market data from Yahoo Finance into pandas DataFrames.

high confidence reviewed

Pandas-DataReader

data-tooling

Python library for reading financial data from online sources into pandas DataFrames.

high confidence reviewed

Gekko

crypto-defi

Node.js crypto trading bot with strategy backtesting, paper trading, and live execution.

high confidence reviewed

OctoBot

crypto-defi

Modular crypto trading bot with web interface, backtesting, and exchange integration.

high confidence reviewed

Jesse

crypto-defi

Python crypto trading bot framework with integrated backtesting and live execution.

high confidence reviewed

Hummingbot

crypto-defi

Open-source crypto market making and arbitrage bot with composable strategy system.

high confidence reviewed

Blankly

quant-platforms

Python framework for building algorithmic trading bots with a unified exchange interface.

high confidence reviewed

LEAN

quant-platforms

QuantConnect's open-source algorithmic trading engine powering cloud backtesting and live execution.

high confidence reviewed

bt

quant-platforms

Python library for flexible backtesting of algorithmic trading strategies with modular architecture.

high confidence reviewed

Riskfolio-Lib

quant-platforms

Python library for portfolio optimization with risk parity, tail risk, and factor models.

high confidence reviewed

PyPortfolioOpt

quant-platforms

Python library for portfolio optimization including mean-variance, Black-Litterman, and HRP methods.

high confidence reviewed

NautilusTrader

quant-platforms

Python high-performance algorithmic trading platform with backtesting and live execution.

high confidence reviewed

VectorBT

quant-platforms

Python library for high-performance backtesting using vectorized operations and technical indicators.

high confidence reviewed

Qlib

quant-platforms

Microsoft AI-powered quantitative investment research platform with end-to-end pipeline.

high confidence reviewed

TradeMaster

ai-agents

Python library for reinforcement learning-based trading strategy development and evaluation.

medium confidence reviewed

FinTA

ai-agents

Python library for financial technical analysis with over 80 indicators and utilities.

high confidence reviewed

FinMem

ai-agents

Financial memory agent for hierarchical portfolio management using LLM reasoning.

high confidence reviewed

OpenBB

ai-agents

Open-source terminal and Python library for financial data analysis and research.

high confidence reviewed

FinBERT

ai-agents

Pre-trained language model for financial sentiment analysis and text classification.

high confidence reviewed

FinRL-Meta

ai-agents

Market environments and data connectors for financial reinforcement learning research.

high confidence reviewed

FinRobot

ai-agents

Open-source autonomous AI agent framework for financial analysis and decision-making.

high confidence reviewed

FinRL

ai-agents

Open-source framework for financial reinforcement learning with stock trading environments.

high confidence reviewed

Zipline

quant-platforms

Pythonic algorithmic trading library with event-driven backtesting engine.

high confidence reviewed

Akshare

data-tooling

Open-source Python library for A-share and Chinese financial market data.

high confidence reviewed

CCXT

crypto-defi

JavaScript/TypeScript/Python cryptocurrency exchange trading library with unified API across 100+ exchanges.

high confidence reviewed

FinGPT

ai-agents

Open-source large language model framework for the financial domain.

high confidence reviewed

Freqtrade

crypto-defi

Open-source crypto trading bot with backtesting, strategy optimization, and live trading.

high confidence reviewed

QuantConnect

quant-platforms

Cloud-based algorithmic trading platform supporting multi-asset backtesting and live trading.

high confidence reviewed

Backtrader

quant-platforms

Python backtesting framework for trading research and strategy development.

high confidence reviewed