Diversification: How much is too much?
livemint.comRelative performance is important. But fund size and conviction in ideas also dictate the number of stocks
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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.
Offered by Columbia University. Advance Your Knowledge in Financial Engineering . Build the fundamentals and technical skills in financial ... Enroll for free.
Offered by Columbia University. Advance Your Knowledge in Financial Engineering . Build the fundamentals and technical skills in financial ... Enroll for free.
Largest decentralised lending protocol, used by traders for leverage, shorting and yield on idle stablecoins.
Unified crypto market data API normalising tick, order-book and OHLCV data across hundreds of exchanges.
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Crypto market data and index provider offering aggregated pricing, historical data and an API.
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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
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Learn how to extract meaningful insights from time series data in R. Explore how to model, forecast, and visualize time series data.
How should an investor determine how well her portfolio is performing? In this post, we discuss the right and wrong way to benchmark your…
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In finance, quantitative analysts ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
This is the first version of {{% resource_link "d1090ad2-6097-4c81-b758-c21d1243282b" "*18.642 Topics in Mathematics with Applications in Finance*" %}} from Fall 2024. Please visit the…
The focus of this course is on financial theory and empirical evidence for making investment decisions. Topics include: portfolio theory; equilibrium models of security…
This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô)…
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Explore The Data Scientist, The AI Engineer, The Crypto Engineer, and CPF â coherent programs led by Dr. Yves J. Hilpisch at The Python…
Curated list of algorithmic trading frameworks, libraries, strategies and learning resources.
The interactive graphing library for Python Python · 18,613
Introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies
Xiao, Y., Sun, E., Luo, D., & Wang, W. (2024). TradingAgents: Multi-Agents LLM Financial Trading Framework. arXiv preprint arXiv:2412.20138
A Model Context Protocol (MCP) implementation for Financial Modeling Prep, enabling AI assistants to access and analyze financial data, stock information
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
High performance and scalable deep reinforcement learning for quantitative finance. ACM International Conference on AI in Finance, ICAIF 2021
. Michaël Karpe, Jin Fang, Zhongyao Ma, Chen Wang. International Conference on AI in Finance (ICAIF’20), September 2020
Open-source autonomous AI trading agent from the nof1 family; TypeScript port
Official Korea Investment & Securities Open API with MCP and LLM integration for Korean equity market trading
Integrates Tushare (Chinese A-shares, funds, bonds, macro) and Binance (crypto) for LLM financial data access
Interactive Brokers TWS/Gateway MCP server for live trading and market access across 150 markets
AKShare API for Chinese stock market: historical prices, real-time quotes, financial reports, and news
Personal stock analysis MCP server: technical indicators, earnings calendars, options flow, and insider trades