DUCKQUANT / THE QUANT & AI DIRECTORY
1,650 resources, ranked by in-directory PageRank
Prepare with hundreds of questions on probability, statistics, and more. Join a community of thousands of others interviewing for quant positions.
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Learn more about: C++ Library Conventions
TradingAgents-style multi-agent framework connected to Alpaca for US-equity trading. ( pairs with: [alpacahq/alpaca-mcp-server](#mcps-alpaca).)
Relative performance is important. But fund size and conviction in ideas also dictate the number of stocks
A globally recognized qualification in quantitative finance, offering a flexible and practical online program for finance professionals.
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Ratio analysis involves comparing information from financial statements to gain a better understanding of a business. There are some issues with it.
An Online Journal of Portfolio Analysis
Partenaire stratégique des entreprises pour la transformation de leurs activités en tirant profit de toute la puissance de la technologie.
A collection of utilities and helpers to support the development of subgraphs
Explore this resource at its source website for documentation and current information.
Python library for scraping Chinese stock, fund, bond and futures data from East Money endpoints.
A curated list of awesome responsible machine learning resources.
A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and…
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
the project using sql, pandas to provide an uniform and extendable way to record data, computing factors, select securities, backtesting, realtime trading and…
A curated list of MCP servers for AI finance agents
C++ - A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components…
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Edge, YES/NO arbitrage, and Kelly sizing for binary markets
Black-Scholes pricing, Greeks, and strategy payoffs
Open-source play-money prediction-market platform with a public API
Don’t let your friends dump git logs into changelogs.
Framework for Kalshi prediction markets (RSA-PSS auth, strategy engine, backtester, risk manager)
follows for its structure and tooling
At Jump, traders, builders, and researchers solve the hardest market problems, improving models, tools, and systems that power global trading.
Explore this resource at its source website for documentation and current information.
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Historical chart pattern similarity search API. 24M+ pre-computed embeddings across 15K+ symbols and 10 years of data using pgvector. Returns forward returns…
Python - An agentic framework that mimics the real quant trading pipeline to find alpha: economic hypothesis, in-sample iteration, and out-of-sample validation
finagg is a Python package that provides implementations of popular and free financial APIs, tools for aggregating historical data from those APIs into SQL…
Python - TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance
