Evidence before certainty
Platform outputs organize observable market evidence. They do not remove uncertainty or guarantee direction, execution, or profitability.
Product transparency
YinYang methodology explains how market evidence is sourced, transformed, tested, and presented—and where each output stops being reliable. Use this hub to understand the platform-wide approach or find a dedicated feature methodology.
Methodological foundation
The platform is designed around distinct analytical layers so an observed event, an indicator reading, and a strategy result are never treated as interchangeable claims.
Platform outputs organize observable market evidence. They do not remove uncertainty or guarantee direction, execution, or profitability.
Trend, momentum, volume, participation, timeframe, and recency should be interpreted together instead of treating one reading as a complete decision.
Observations describe market events; indicators transform inputs; strategies define testable rules; adaptive systems adjust supported processing within documented limits.
Historical testing, delayed availability, incomplete data, changing market regimes, and execution differences remain part of every responsible interpretation.
Observations represent sourced market events and aggregated data. Indicators transform those inputs into contextual readings. Strategies define rules that can be tested against historical data.
Adaptive systems evaluate supported finalized data and adjust supported processing. They remain analytical systems, not guarantees of optimal settings or future performance.
Historical results depend on the selected symbol, timeframe, range, settings, fees, slippage, liquidity, and data quality. A backtest is evidence about a defined historical scenario—not a promise that the same outcome will repeat.
Interpret every platform output alongside timeframe, recency, price structure, participation, and independent risk management. YinYang provides informational software, not financial advice or trade execution.
Documentation directory
Search by feature, concept, category, or tag. Filtered views remain enhancements of this canonical methodology hub.
Start with the dedicated page for the output you are interpreting, then follow its related data, tutorial, and product links. Review dates identify the last substantive methodology review; they are not generated from file timestamps.
Methodology can evolve as data providers, access levels, platform features, and market conditions change. The live product remains the source for current availability and account-specific access.