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Artikel, Leitfäden und Einblicke zu algorithmischem Trading, Backtesting-Strategien, quantitativer Analyse und Datenqualität.

1–9 of 40 articles

Transaction Costs for Quants: Test 3 Regimes, Watch Engine RiskEN
Backtesting

Transaction Costs for Quants: Test 3 Regimes, Watch Engine Risk

Learn how quants can model commissions, spreads, slippage, and market impact, stress test three cost regimes, and account for engine and data risks.

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Six Bar Aggregation Methods Quants Can Calibrate for ML BacktestsEN
Backtesting

Six Bar Aggregation Methods Quants Can Calibrate for ML Backtests

Compare six bar aggregation methods for backtesting and machine learning, then calibrate thresholds and validate results with clean intraday data.

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Spread Modeling for Backtests: 3 Estimators to Stress Test ML EdgeEN
Backtesting

Spread Modeling for Backtests: 3 Estimators to Stress Test ML Edge

Compare Roll, Corwin Schultz, and CHL spread estimates; model slippage and impact, then validate ML backtests with walk forward tests and clean minute bars.

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MT4 History Center: 5 Safe Fixes Before File RepairEN
Backtesting

MT4 History Center: 5 Safe Fixes Before File Repair

Fix MT4 History Center errors with safe refresh and download steps, .hst file repair, and clean data imports for more reliable, reproducible backtests.

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When 1 Minute vs 5 Minute Bars Mislead Quants, Run a Signature PlotEN
Backtesting

When 1 Minute vs 5 Minute Bars Mislead Quants, Run a Signature Plot

Decide whether 1 minute or 5 minute bars suit your backtest. Follow a research-backed checklist: signature plot, walk forward validation, realistic...

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MT4 Max Bars for Quants: Fix Broken Backtests with Clean Import DataEN
Backtesting

MT4 Max Bars for Quants: Fix Broken Backtests with Clean Import Data

Understand how MT4’s chart and history limits work. Change Max bars, troubleshoot missing data, and import clean datasets to produce reproducible backtests.

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Prevent Broken Backtests: Intraday Data Sources Practitioners Must AuditEN
Backtesting

Prevent Broken Backtests: Intraday Data Sources Practitioners Must Audit

Intraday data source checklist for practitioners: verify timestamp provenance, bar labels, and spike detection. Test a sample first.

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Clean Forex Data: 5 Audit Checks Quants Run Before BacktestingEN
Backtesting

Clean Forex Data: 5 Audit Checks Quants Run Before Backtesting

Make clean forex data backtest ready with five audit checks and a 6 step cleaning workflow. Or use ready to import datasets to skip cleanup.

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Quants: Run This 7 Step Data Audit Before Backtesting on MT4/MT5EN
Backtesting

Quants: Run This 7 Step Data Audit Before Backtesting on MT4/MT5

A reproducible, audit-first checklist for quants validating MT4/MT5 backtest data. Preserve snapshots, run checksums, classify per-year gaps, smoke-test,...

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