Quantitative Finance - Research, Trading, Investing, & Algos

Quantitative Finance - Research, Trading, Investing, & Algos explores the quantitative approach to finance, covering research methods, trading strategies, investment analysis, algorithm development, and practical tools. It features insights from industry experts, educational material, and discussions on trends and applications in quantitative finance.

Quantitative Research Trading Strategies Investment Analysis Algorithm Development Financial Market Structure Machine Learning in Finance High-Frequency Trading Asset Allocation Educational Resources Industry Insights

The hottest Substack posts of Quantitative Finance - Research, Trading, Investing, & Algos

And their main takeaways

Professor William F. Sharpe's Thoughts on his own "Sharpe Ratio"

40 implied HN points • 06 Feb 24
  1. Professor William F. Sharpe introduced the Sharpe Ratio in 1966.
  2. The Sharpe Ratio has evolved and been termed differently by other authors.
  3. The discussion on the Sharpe Ratio in the original paper has been broadened to cover more applications.

Jane Street's Figgie Card Game

29 HN points • 26 Jan 24
  1. Jane Street Capital created a card game called Figgie in 2013 to mimic commodities trading.
  2. Jane Street is known for using OCaml in tech and emphasizes functional programming.
  3. Figgie card game involves negotiating trades, aiming to make money, and can be played online against live and bot players.

Quantitative Finance Stack Exchange

20 implied HN points • 13 Feb 24
💰 Finance Quantitative finance Trading Investing
  1. Quantitative Finance Stack Exchange is a valuable resource in the field of Quantitative Finance.
  2. It's beneficial to explore Quantitative Finance Stack Exchange to see popular questions and answers.
  3. You can filter through topics and find interesting discussions on Quantitative Finance Stack Exchange.

Help me help you

20 implied HN points • 02 Feb 24
  1. Sebastian Gutierrez is conducting a quick survey to understand the education and interests of his audience.
  2. The survey includes questions about education level, current work status, and fields like finance, math, economics, and computer science.
  3. The survey aims to help Sebastian tailor his newsletter content to better suit his readers' preferences.

hftbacktest - High-Frequency Trading and Market-Making Backtesting Tool

20 implied HN points • 29 Jan 24
  1. Backtesting is a useful tool for evaluating trading strategies based on historical data.
  2. Prop desks, banks, and hedge funds often have proprietary backtesting tools, but this one is unique for being open source and written in Python.
  3. The hftbacktest tool offers features like tick-by-tick simulation, order book reconstruction, and order fill simulation for high-frequency trading strategies.
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Financial Markets Microstructure

20 implied HN points • 22 Jan 24
  1. Market microstructure focuses on how financial markets operate.
  2. The course covers various topics like liquidity, market transparency, and high-frequency trading.
  3. The lecturer, Egor Starkov, provides a comprehensive set of materials for the course.

Quant Finance Project Ideas

2 HN points • 08 Feb 24
  1. Ph.D. theses are a good framework for creating quant finance project ideas.
  2. Replicating part of a Ph.D. thesis can impress prospective employers by demonstrating historical context, purpose, execution, and a credible conclusion.
  3. Choosing a project related to quantitative finance that personally interests you increases the likelihood of seeing the project through to completion.

What do quantitative traders do?

1 HN point • 09 Feb 24
  1. Quantitative traders implement strategies developed by their team
  2. Traders collaborate with analysts and developers to create and test new trading ideas
  3. Executing, monitoring, and managing strategies is a team effort for quantitative traders

Introductory Study of Ultra-High Frequency Forex Spot Rate Data

1 HN point • 31 Jan 24
  1. High-frequency trading systems require co-location services, low-latency networks, trading software, algorithms, data, and development tools to work together effectively.
  2. The 1991 academic study on ultra-high frequency forex spot rate data emphasizes price revisions, statistical characteristics, impact of time aggregation, inter-relationships between currencies, and market efficiency.
  3. The study shows that high-frequency forex market dynamics exhibit unique statistical traits, fluctuations in value influenced by other currencies, and potential inefficiencies in market reactions to news.

Asset Allocation for Individual (And Other?) Investors

1 HN point • 24 Jan 24
  1. Asset allocation is important for individual investors to understand their portfolios and make informed decisions.
  2. The gain-pain index (GPI) is a tool developed to help investors analyze asset allocations based on risk preferences.
  3. The GPI tool helps investors understand the trade-offs involved in different asset allocations and determine optimal portfolio holdings.

Coming soon

0 implied HN points • 12 Jan 24
  1. Upcoming content on Quantitative Finance at quantfinance.substack.com
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  3. Connect with Sebastian Gutierrez for more information