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Articles, guides et analyses sur le trading algorithmique, les stratégies de backtesting, l'analyse quantitative et la qualité des données.
37–45 of 121 articles
ENFix Broken Backtests: Automated Strategy Tools with S&P 500 1mo Data
Practical guide for intraday quants: use automated strategy tools, audit minute bars, and apply S&P 500 Back Adjusted 1mo data to reduce backtest bias.
ENPrevent Flipped Backtests: Index Data Accuracy QA for Nifty 50 1m
QA checklist for Nifty 50 1m minute bars: demand point in time membership, provenance, a QA report, and a sample CSV before buying.
ENResolve Symbols with Import Ready Instrument Mapping Data for MT4/MT5
Practical MT4/MT5 checklist and resolver pattern that pairs import-ready, validated M1 datasets with symbol resolution to stop silent backtest errors.
ENTraders & Quants: Verify Gold Data Accuracy with a GOLD 1m Sample
Developer checklist for traders & quants to validate gold price feeds. Get a GOLD 1m sample, reconcile 300 rows, and check timestamps and gaps before you...
ENWhy 'MetaTrader Robot' Is Trending Again — And What Actually Matters Before You Use One
Search interest in MetaTrader robots and MT5 EAs is climbing again. Here's a practitioner's guide to evaluating an EA properly instead of chasing the trend.
EN4 Checks Quants Must Run Before Buying the S&P 500 Minute Bar Pack
For quants: four checks to validate S&P 500 minute bar bundles, avoid backtest to live drift, and import data reproducibly.
EN5 Minute Import Test for a Data Coverage List Before You Buy
Test a vendor sample for 5 minutes to verify a data coverage list, catch survivorship or timezone gaps, and confirm import readiness.
ENStop Broken Backtests: Quants Track Historical Data Updates Like BEA
Practical operations for analysts and quants to keep historical data updates audit-ready: pin versions, watch changelogs, and handle annual revisions...
ENAvoid Blind Spots by 3 PM: Engineered Intraday Correlation for Quants
Engineered intraday correlation data with estimator guidance and preprocessing to avoid underestimating exposure by 3 PM. Ready MT4/MT5 datasets.