An analyst that reasons like smart money.
Liquidity Hunter doesn't ask "should I buy or sell?" It asks where the market is trying to go — and what evidence supports it. Indicators become merely evidence. A desk of AI specialists reads liquidity, debates the thesis, and explains every conclusion.
Pipeline: Data → Understanding → Evidence → Reasoning → Forecast → Ideas → Learning
Nine layers of market reasoning
Multi-Agent Desk
Six specialists debate the chart — structure, liquidity, macro, execution, risk and a devil's advocate — then a chief synthesizes the call.
Explore →Narrative Engine
The market's story in plain language: Asia accumulated, London swept sell-side, bullish displacement followed…
Explore →Liquidity Graph
Connected evidence nodes — price → sweep → order block → FVG → discount → buy-side → the draw.
Explore →Probability Engine
Every object carries a confidence score and the reasons behind it. No black boxes.
Explore →Market Memory
Fingerprints the current situation and finds historical analogs — "79% of similar setups continued higher."
Explore →Portfolio Intelligence
Ranks every instrument by opportunity so the desk knows where to point its attention.
Explore →Market Replay
Scrub back in time. The AI forecasts with zero look-ahead, then press Play to grade the thesis.
Explore →Continuous Learning
Outcomes are saved and mined for the confluences that actually win.
Explore →AI Coach
Grades discipline and patience over sessions and tracks whether you're improving.
Explore →Most tools generate signals. This one builds a case — with evidence, confidence, an objective, an invalidation, and a desk that argues both sides.