Finance And Trading Development Tools

Managing hallucination, unsafe automation, prompt injection, and human review gates.

Skill linked from curated resource requirements.

Understanding authentication, rate limits, request shapes, errors, and source attribution.

Required or useful skill for resources in this use case.

Accounting for fees, slippage, liquidity, look-ahead bias, and out-of-sample validation.

Required or useful skill for resources in this use case.

Loading, cleaning, chunking, and normalizing documents or structured data.

Skill linked from curated resource requirements.

Modeling entities, relationships, indexes, migrations, and query access patterns.

Skill linked from curated resource requirements.

Testing LLM quality, retrieval quality, task completion, and regression behavior.

Skill linked from curated resource requirements.

Checking market data assumptions, survivorship bias, splits, symbols, and timestamps.

Required or useful skill for resources in this use case.

General Python programming for automation, data, AI, and backend scripts.

Required or useful skill for resources in this use case.

Querying, joining, filtering, aggregating, and validating structured data.

Skill linked from curated resource requirements.

Embedded analytical database useful for local data processing and app backends.

Curated tool relationship for future one-stop directory pages.

Open-source crypto trading bot with backtesting and strategy research workflows.

Curated tool relationship for future one-stop directory pages.

Python data analysis library for tabular data cleaning, transformation, and analytics.

Curated tool relationship for future one-stop directory pages.

Fast DataFrame library for Python and Rust data processing workflows.

Curated tool relationship for future one-stop directory pages.

Open-source algorithmic trading engine for research and live trading workflows.

Seeded from manual curation; metadata enriched where possible.

Python framework for vectorized backtesting and quantitative research workflows.

Seeded from manual curation; metadata enriched where possible.

Small Python framework for backtesting trading strategies.

Seeded from manual curation; metadata enriched where possible.

Python backtesting framework for trading strategy research.

Seeded from manual curation; metadata enriched where possible.

Flexible Python backtesting framework for quantitative strategies.

Curated tool relationship for future one-stop directory pages.

Open-source framework and ecosystem for financial reinforcement learning research.

Curated tool relationship for future one-stop directory pages.

Open-source crypto trading framework for research and live strategy workflows.

Curated tool relationship for future one-stop directory pages.

Python analytics library for portfolio and trading strategy statistics.

Seeded from manual curation; metadata enriched where possible.

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Official GitHub repository metadata fetched where API allowed.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Official GitHub repository metadata fetched where API allowed.

Download market data from Yahoo! Finance's API

Official GitHub repository metadata fetched where API allowed.

Python Backtesting library for trading strategies

Official GitHub repository metadata fetched where API allowed.

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Official GitHub repository metadata fetched where API allowed.

Portfolio analytics for quants, written in Python

Official GitHub repository metadata fetched where API allowed.

Financial data platform for analysts, quants and AI agents.

High-star GitHub discovery seed from query `topic:quantitative-finance stars:>500`.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

High-star GitHub discovery seed from query `topic:quantitative-finance stars:>500`.

LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.

High-star GitHub discovery seed from query `topic:quantitative-finance stars:>500`.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

High-star GitHub discovery seed from query `topic:quantitative-finance stars:>500`.

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

High-star GitHub discovery seed from query `topic:quantitative-finance stars:>500`.

Open source software that helps you create and deploy high-frequency crypto trading bots

High-star GitHub discovery seed from query `topic:backtesting stars:>500`.