How strongly do the defined conditions align?
The score organizes comparable evidence across the universe. It is a rank, not a known probability.
nanoHedgeLABS turns observable equity-setup evidence, payoff geometry and market context into a relative ranking. The output is designed to be inspected — not copied as a prediction.
The score organizes comparable evidence across the universe. It is a rank, not a known probability.
Risk/reward compares two structural distances from the same reference price. It describes shape, not likelihood.
Market and sector context adjust the weight of a setup after its base evidence has been assembled.
The higher-timeframe structure decides which side the system is allowed to examine.
Independent trigger families measure contact, session strength, path, compression and volume location.
Structural invalidation and objective candidates define the geometry before a ratio is calculated.
The evidence becomes comparable, context changes its weight and final gates classify the output.
The Instagram series introduces one mechanism at a time. These permanent notes reconnect each concept to the wider system.
Why seven Boolean outputs measure different market properties and can activate independently.
Read note →How a structural reference makes a setup testable without pretending to predict the next move.
Read note →What the score organizes, what context changes and why the output is not a probability.
Read note →