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Articles, guides and insights on algorithmic trading, backtesting strategies, quantitative analysis, and data quality.
28–36 of 42 articles
Three Ways to Run an MT5 Portfolio Backtest With Clean Minute Bars
Three practical ways to turn MT5 exports into a true portfolio backtest, with minute bar audits, normalization steps, and a reproducible checklist.
99% Modeling Quality for Quants: MQL4 Data Prep Per Year Gap Audit
Make MQL4 backtests reproducible. Import real tick history, use Every Tick with variable spread, then run a per year gap audit and data validation before...
Reproducible MT4 Backtesting Data Sources That Skip Conversion
Developer-focused MT4 guide to verification checks, CSV import pitfalls, and import-ready datasets. Learn how to avoid timezone, gap, and modeling-quality...
Avoid Redownloads on Multi GB Bulk Historical Data for Quants
Practitioner guide to multi GB bulk historical data downloads: choose S3 or catalog exports, use wget or aria2c, and verify checksums.
Audit First MT5 Backtesting Data: Gap, Timestamp, Ready to Import
Run gap and timestamp audits, import clean minute bar or validated tick data, and verify modeling quality to produce reproducible MT5 backtests.
What Good Data Vendor Support Actually Looks Like
Discover what effective data vendor support entails. Ensure your quant team receives validated data, flexible delivery, and direct engineer access.
How to Import CSV Data Into MT4 for Backtesting
Learn how to easily import CSV data into MT4 for backtesting. Follow simple steps and troubleshoot common issues to enhance your trading accuracy.
How to Achieve 99% Modeling Quality in MT4 for Backtests
Achieve 99% modeling quality in MT4 backtests by importing real tick data and ensuring zero errors for trustworthy results.
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.