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关于算法交易、回测策略、量化分析和数据质量的文章、指南和见解。
1–9 of 81 articles
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.
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.
ENQuants: 3 Places to Download Verified OHLCV Minute Data
Compact guide for quants to find validated OHLCV minute data: where to download, timestamp and gap rules, validation checks, and ready 1m archives.
ENFutures Rollover Methods That Cut Roll Drag for Quants with Minute Bar Tests
Practical, data-driven ways to time futures rolls. Learn to roll by volume, test rules on clean minute-bar data, and reduce roll cost and slippage.
ENFix Live MT5 Expert Advisor Tracking: Watch These 3 Numbers
Practical MT5 EA monitoring: track three metrics, run MAE/MFE diagnostics, and validate live results with BacktestMarket clean minute bar data.
EN"I'll Leave Forex If This Setup Doesn't Work Out": Why That Mindset Signals a Deeper Problem
When a single trade setup becomes an ultimatum, it's usually a sign the process — not the market — needs fixing. Here's how algorithmic backtesting reframes the all-or-nothing trap.
ENHistorical Market Data for Quants: 3 Price Bands and When to Buy Once
Map exchange fees to vendor bands and build a realistic budget. Learn three common price bands, hidden licensing multipliers, and when a one-time dataset...