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Articles, guides and insights on algorithmic trading, backtesting strategies, quantitative analysis, and data quality.

1018 of 66 articles

Minute Bar Data: What Quants Need for Reliable Backtests
Backtesting

Minute Bar Data: What Quants Need for Reliable Backtests

Discover how minute bar data enhances backtesting accuracy for trading strategies. Ensure reliable results with quality, exchange-sourced data.

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How to Fix the MT4 GMT Offset for Accurate EA Timing
Algorithmic Trading

How to Fix the MT4 GMT Offset for Accurate EA Timing

Discover how to accurately set the MT4 GMT offset for your EA. Ensure precise trading times and eliminate confusion this DST.

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Fixing MT4 Missing Data: A Complete Recovery Guide
Algorithmic Trading

Fixing MT4 Missing Data: A Complete Recovery Guide

Resolve MT4 missing data issues quickly with this complete recovery guide. Learn to restore historical bars and fix data gaps effectively.

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Holiday Gaps in Market Data: A Quant's Handling Guide
Algorithmic Lessons

Holiday Gaps in Market Data: A Quant's Handling Guide

Learn how to effectively handle holiday gaps in market data using advanced modeling techniques for better accuracy and insight.

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Data Integrity Checks: A Practical Guide to Trustworthy Data
Algorithmic Lessons

Data Integrity Checks: A Practical Guide to Trustworthy Data

Discover essential data integrity checks to ensure your data is accurate, reliable, and consistent, boosting your data management practices.

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Tick Volume vs Real Volume for Forex Traders: What to Use
Forex Analysis

Tick Volume vs Real Volume for Forex Traders: What to Use

Discover the key differences between forex tick volume and real volume. Learn how to effectively gauge market activity for better trading decisions.

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Data Snooping Bias: How Researchers and Quants Catch It
Backtesting

Data Snooping Bias: How Researchers and Quants Catch It

Discover how to identify and avoid data snooping bias in research. Learn its implications in drug trials and quantitative trading.

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This Sub Is Unusable: Why Reddit Is a Terrible Place to Build a Trading Framework
Trading Framework

This Sub Is Unusable: Why Reddit Is a Terrible Place to Build a Trading Framework

Reddit's algorithmic trading communities have become increasingly noisy, contradictory, and occasionally outright dangerous for retail algo traders. Here's how to filter the signal from the noise and build a framework that actually holds up.

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High Risk EA Backtest: €500 to €4,030 in 16 Days — What the Numbers Actually Tell You
Backtesting

High Risk EA Backtest: €500 to €4,030 in 16 Days — What the Numbers Actually Tell You

A backtest showing a €500 account growing to over €4,000 in 16 days looks extraordinary. Here's how to read past the headline and understand what's really going on under the hood.

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