DFX applies a systematic framework to validate technical indicators, ensuring statistical significance and predictive utility across diverse market conditions.
Our Methodology
Systematic Validation Framework
01
Data Sourcing
Aggregating multi-year tick data across forex, equities, and commodities, ensuring high-fidelity inputs for analysis.
02
Statistical Filtering
Applying robust statistical tests to identify indicators with persistent edge, filtering out noise and curve-fitted artifacts.
03
Empirical Backtesting
Executing comprehensive backtests to measure win-rates, expectancy, and maximum drawdown across various market regimes.
04
Performance Benchmarking
Comparing indicator performance against established benchmarks and peer-reviewed strategies to confirm validity.
Access Backtest Archives
Browse our repository of detailed indicator backtest files and validation reports.