Skip to content

quantra-go-algo/Algo-Trading-Map

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

36 Commits
LICENSE-CC
LICENSE-CC
 
 
README.md
README.md
 
 

Repository files navigation

Algorithmic Trading Map

Welcome to this repository, where you'll find a helpful map to navigate through the entire knowledge of Algorithmic trading

Introduction

This file contains a curated list of links related to each topic of the Algorithmic Trading domain. Feel free to navigate it and find relevant links to learn more about all the relevant areas of Algorithmic trading.

The map is structured as follows.

  • The map is divided into 11 sections.
  • Each section might or might not contain equal sources.
  • Each section will have relevant links to help you enjoy the Algorithmic Trading learning journey.
  • Each source link provides a nomenclature (described above) that lets you know what type of source it is.

Disclaimer

The sources provided here are just for educational purposes. You should only use them for live trading with appropriate backtesting and tweaking strategy parameters.

  1. Cautionary note
    • Trading is not appropriate for all investors and carries a significant risk.
    • Markets are unpredictable, and past performance does not guarantee future outcomes.
    • The sources provided here are for educational purposes only; they are not investing advice.
  2. Limitations and assumptions
    • Trading experience: The sources provided here assume that traders possess the necessary expertise to apprehend the risks and customize the content according to their risk tolerance and preferences.
    • Risk capital: Trading should only be done with risk capital, and only people with enough of it should consider trading. It is not advisable to trade with capital that can affect one's way of life or one's financial commitments. Market volatility: The sources provided here are contingent upon the market's state and may not yield anticipated results during periods of high market volatility or atypical occurrences.
    • No promises: Trading losses are possible, and neither success nor profit are certain.
  3. Additional notes
    • You must conduct independent research and due diligence before implementing any code script or the strategies/techniques/models provided in the sources.
    • Trading involves emotions, and managing your emotions and risk tolerance is crucial.
  4. Accountability
    • By utilizing these sources detailed in this repository, you agree that:
      • You have read and understood the disclaimer and points 1, 2 and 3.
      • You assume full accountability for your trading and investing decisions.
      • You alone will bear responsibility for any losses incurred if you employ this trading setup and approach.

Table of contents

  1. Contributors
  2. Ask for help
  3. Nomenclature
  4. Map Structure
  5. The Algo Trading map

Contributors

QuantInsti's EPAT and Quantra content and Digital Marketing teams maintain and contribute to this repository.

Ask for help

In case of questions, please write to:

  • Your support manager (if you’re a present EPAT student)
  • The alumni team (if you’re a past EPAT student and an alumnus)
  • QuantInsti coordinates you, see on our “Contact Us” page: https://www.quantinsti.com/contact-us

Nomenclature

  • EPAT content: EPAT
  • Quantra content: Quantra
  • Blog Article: BA
  • Recorded Video: RV
  • Text Book: TB
  • Document: DT

Map Structure

  1. Laying the Foundations
    1. Trading Psychology
    2. Macroeconomics
    3. The Financial Markets
      1. Traditional Assets
      2. Blockchain and Cryptocurrencies
    4. Excel
    5. Math and Statistics
    6. Programming
      1. Python
      2. Other Languages
    7. Market Microstructure
    8. Database Management
    9. Investment Funds
    10. Software Engineering
    11. Ethics in Finance
  2. Getting Data & Analysis
    1. Data Source
    2. Data Science
  3. Learn Trading Strategies
    1. Equity
      1. Stocks
      2. ETFs
      3. Factor Investing
    2. Forex
    3. Bonds
    4. For any Asset
      1. Based on Technical Indicators
      2. Time Series Analysis
      3. Pairs Trading
      4. Machine Learning
    5. Options
    6. Futures
    7. High-Frequency Trading
    8. Crypto
  4. Portfolio & Risk
    1. Portfolio Management
    2. Risk Management
  5. Practical Quant Insights
  6. Backtest Trading Strategies
    1. Excel-Based Backtesting
    2. Python-Based Backtesting
      1. Backtesting from Scratch
      2. Platform-based Backtesting
    3. Visualization-Based Backtesting
    4. Create a Trade Sheet
  7. Set up a Trading Desk
  8. Execution Strategies
  9. Live Trading
  10. Performance Evaluation
  11. Get a Quant Job

The Algo Trading map

  1. Laying the Foundations
    1. Trading Psychology
    2. Macroeconomics
    3. The Financial Markets
      1. Traditional Assets
      2. Blockchain and Cryptocurrencies
    4. Excel
    5. Math & Statistics
    6. Programming
      1. Python
      2. Other Languages
    7. Market Microstructure
    8. Database Management
    9. Investment Funds
    10. Software Engineering
    11. Ethics in Finance
  2. Getting Data & Analysis
    1. Data Sources
    2. Data Science
  3. Learn Trading Strategies
    1. Equity
      1. Stocks
      2. ETFs
      3. Factor Investing
    2. Forex
    3. Bonds
    4. For any Asset
      1. Based on Technical Indicators
      2. Time Series Analysis
      3. Pairs Trading
      4. Machine Learning
    5. Options
    6. Futures
    7. High-Frequency Trading
    8. Crypto
  4. Portfolio & Risk
    1. Portfolio Management
    2. Risk Management
  5. Practical Quant Insights
  6. Backtest Trading Strategies
    1. Excel-Based Backtesting
    2. Python-Based Backtesting
      1. Backtest from Scratch
      2. Platform-Based Backtesting
    3. Visualization-Based Backtesting
    4. Create a Trade Sheet
  7. Set up a Trading Desk
  8. Execution Strategies
  9. Live Trading
  10. Performance Evaluation
  11. Get a Quant Job

About

No description, website, or topics provided.

Resources

Readme

License

CC0-1.0 license
Activity

Stars

6 stars

Watchers

2 watching

Forks

2 forks
Report repository

Releases

No releases published

Packages

No packages published