Algorithmic trading Guide
Last Updated on June 19, 2022 by Quantified Trading
Quant trading, algorithmic trading, mechanical trading, and quantified strategies:
- 26 trading lessons learned after 20 years of full-time trading
- How Jim Simons’ trading systems made 66% a year (The Medallion Fund)
- 6 reasons why backtesting works (Why backtesting is not a waste of time)
- Can you get rich by quant trading? (Tips and tricks for quant traders)
- 8 pros and cons of quant trading (Quant trading strategies)
- Advantages With Mechanical Trading Strategies (The Parts Of A Mechanical Trading Strategy)
- Proprietary trading – pros and cons (a personal experience)
- How to get started in trading (How can a beginner start trading)
- Trading journal example – how to make one (Including spreadsheet)
- Survivorship bias in backtesting, trading, and investing (How To Avoid It)
- Is it better to trade or invest in stocks? (What’s the difference?)
- Disadvantages of backtesting (Why backtesting doesn’t work)
- How to fail as a trader: 11 skills of the unsuccessful (inverse thinking)
- Out-of-sample trading tests explained (what is out-of-sample backtesting?)
- The Importance of Backtesting
- How to generate trading ideas (What are trading ideas?)
- Common mistakes in quantified trading
- Is It Possible To Make Money Swingtrading? My numbers 1st half 2013
- Data Mining And Boredom (The same strategy can’t be used on all stocks)
- The Importance of Good Data Sets When Backtesting (Garbage In Equals Garbage Out)
- Is the stock market a zero-sum game?