Блог
Статьи, руководства и аналитика по алгоритмической торговле, стратегиям бэктестинга, количественному анализу и качеству данных.
46–54 of 113 articles
EN99% 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...
ENReproducible 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...
ENBuilding an EURUSD Trade Framework: A Backtesting-First Approach
EURUSD remains the most searched and most traded currency pair for a reason. Here's how algorithmic traders can build a structured, backtest-driven framework around it instead of chasing signals.
ENStop False Backtests: 3 QA Checks for MT4/MT5 Import Ready Datasets
Stop false backtests: run three QA checks, import one M1 file correctly for MT4/MT5, and use BacktestMarket datasets with timezone tags and checksums.
ENAvoid 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.
EN5 Audits Quants Must Run on Outlier Handled M1 Data Before MT4/MT5
Run five audits, verify dataset hashes and annual gap reports, import clean M1 files into MT4/MT5 for realistic reproducible backtests.
ENAudit 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.
ENWhat 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.
ENForex Daylight Saving Time: Fixing DST Errors in Minute Data
Learn how to eliminate forex daylight saving time errors in minute data. Discover effective strategies for accurate backtesting and trading.