Algorithmic trading Guide
Last Updated on September 23, 2022 by Oddmund Groette
Below we have listed articles that are related to quantified and mechanical trading.
Table of contents:
Quant trading articles:
- Common mistakes in quantified trading
- 8 pros and cons of quant trading (Quant trading strategies)
- Can you get rich by quant trading? (Tips and tricks for quant traders)
- Data-Driven Trading Strategies — What Are They? (Backed By Data)
Mechanical trading articles:
- 26 trading lessons learned after 20 years of full-time trading
- How Jim Simons’ trading systems made 66% a year (The Medallion Fund)
- Advantages With Mechanical Trading Strategies (The Parts Of A Mechanical Trading Strategy)
- Mechanical Trading Strategies Vs. Discretionary Trading Strategies
Backtesting articles:
- 6 reasons why backtesting works (Why backtesting is not a waste of time)
- Out-of-sample trading tests explained (what is out-of-sample backtesting?)
- Survivorship bias in backtesting, trading, and investing (How To Avoid It)
- The Importance of Backtesting
- 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)
- Disadvantages of backtesting (Why backtesting doesn’t work)
Proprietary trading:
General articles about quant trading (mechanical trading):
- News And Trading – How Important Is It?
- How to get started in trading (How can a beginner start trading)
- Trading journal example – how to make one (Including spreadsheet)
- Is it better to trade or invest in stocks? (What’s the difference?)
- How to fail as a trader: 11 skills of the unsuccessful (inverse thinking)
- How to generate trading ideas (What are trading ideas?)
- Is It Possible To Make Money Swingtrading? My numbers 1st half 2013
- Is the stock market a zero-sum game?
- What Percentage of Trading Is Algorithmic? (Algo Trading Market Statistics: Growth, Trends, and Forecasts)
