This portfolio uses historical performance and qualitative business traits to determine low-risk assets. These assets are leading their class and represent sectors that offer lower volatility.

Robust backtesting can give useful insights on how a trading strategy might perform in the future. The use of tick data for backtesting covers many different strategies, whether they are high ...

Even though half of hedge fund managers are now using alternative data to gain a competitive edge, 77% of market leaders (with more than USD5 billion in assets) find that backtesting of alternative ...

Once you have set up a data analysis environment using Python and are able to perform backtesting (historical verification) ...

Backtest figures can easily change depending on the quality of tick data and the testing model used. No matter how clean the ...

(EXECUTION MATTERS is a Traders Magazine content series focused on the topics most important to traders and technologists in US equities and options markets. EXECUTION MATTERS is produced in ...

In the fast-paced world of forex trading, success often hinges on preparation and strategy. Backtesting is one of the most effective ways for traders to refine their approaches before putting real ...

I explain why backtesting can work well--the relationship of in-sample to out-of-sample performance--and why sometimes it presents major problems. I do so using principles of performance, correlation, ...

Backtesting can help an investor determine whether a specific trading strategy would have led to potential returns on an investment over a certain past time period.