Silver Probability Map

What the “Silver Probability Map” Is (Conceptually)

This indicator is a session-based probability framework.

It studies how price behaves when transitioning from one major trading session to the next, then maps statistically favorable reactions to prior session highs and lows.

It’s not predicting direction randomly.
It’s asking:

“When Session B opens, how often does it interact with Session A’s liquidity levels in a specific way?”

The Core Idea (Without Giving Away Too Much)

Markets move in cycles tied to global sessions:

Asian

London

London/NY Overlap

New York

Each session creates a range (high + low).

This tool:

Records the completed session’s range.

Waits for the next session.

Uses historical probability data to determine how often price:

Sweeps the previous high

Sweeps the previous low

Marks only statistically favorable liquidity events.

It’s essentially a liquidity sweep probability engine.

What It’s Actually Watching For

It looks for what traders call a “sweep”:

Price breaks above a prior session high but closes back below → bearish reaction

Price breaks below a prior session low but closes back above → bullish reaction

So it’s focused on:

Liquidity grabs

Failed breakouts

Reversal probability zones

But only when historical data suggests high statistical follow-through.

The Hidden Edge

The edge is not the sweep itself.

The edge is:

Which session transition statistically produces the most reliable reaction?

Example (without numbers):

Some session transitions have extremely high high-sweep success.

Others strongly favor low sweeps.

Some flows are asymmetric (high works better than low).

The indicator dynamically activates only the relevant prior session levels depending on the current time of day.

So during London, it trades Asian levels.
During NY, it trades Overlap levels.
Etc.

It rotates its logic based on global liquidity flow.