From raw market data to probability you can understand.
Quantreef transforms live market data into a clean long/short edge view through a disciplined, multi-stage probability engine.
From raw market data to a trader-ready decision.
This visual shows the core Quantreef journey: data comes in, layers score it, confirmation is checked, and the trader receives a clean output.
Data intake
Live OHLCV, order-flow, derivatives, macro context and cross-market pressure are collected.
Feature engine
Trend, volatility, liquidity, volume and behavior are transformed into structured evidence.
9-layer HTF review
Nine independent evidence layers validate whether the setup has real support or should be capped.
Execution logic
Supports, resistances, ladder stage and stop-hunt watch zones are produced.
Trader output
The user sees the probability, reasons, levels and a cleaner final decision view.
Market data intake
Live pricing, OHLCV, derivatives, macro context and cross-market pressure are continuously scanned for actionable evidence.
Feature intelligence
Indicators, volatility, structure, volume and liquidity are converted into decision-ready intelligence — not noise.
9-layer HTF scoring
Nine independent evidence layers test whether a setup has real technical, structural, macro, liquidity and behavioral support.
Explainable output
Quantreef shows long and short edge probability, plus the forces strengthening or weakening each side.
Probability Flow
Signal conversion
Trader-facing output
Why Quantreef gives you one clean entry, three take-profits and one stop.
Support and resistance tell you where the trade lives. The single reference entry, profit ladder and stop tell you how to actually execute it — how to get in at the engine's chosen level, how to bank profit in stages, and where the idea is simply wrong.
One reference entry = one disciplined fill
Quantreef commits to a single reference entry at the level the engine chooses — the point where the nine-layer evidence is strongest. You take the full position at once, at 100%, rather than guessing across a ladder. The entry is sized so the position respects the stop from the very first fill, so your risk is defined the moment you're in.
Goal: one clean fill at the engine's chosen level, risk defined from the startThree take-profits = bank profit in stages
One target forces an all-or-nothing exit. Quantreef ladders three: TP1 at the nearest resistance to lock in profit and de-risk (move the stop to break-even), TP2 at the next structural level, and TP3 as the extended runner. Scaling out captures the high-probability near move while still leaving size on for the larger one.
Goal: secure the likely move, keep upside on the rarer big moveOne stop = a single, honest invalidation
The stop sits beyond the entry and below the structure that defines the idea — far enough to survive a normal stop-hunt wick (Quantreef adds an ATR-based buffer), but close enough that the math still works. If it trades there, the setup is simply wrong, and the trade closes with a known, pre-defined loss rather than a hope.
Goal: one defined risk; the entry and every target is measured against itIllustrative structure for a long setup. Levels are examples — Quantreef surfaces probability-backed context, not guaranteed outcomes. Short setups mirror this logic in reverse.
A clearer example of what the trader receives.
In one layout, Quantreef can show edge probability, support/resistance, stop-hunt watch and the reasons behind the current read.
Long and short probabilities are shown side by side so the trader can quickly see where the edge is stronger.
The next two support and resistance levels give the user a cleaner map for reaction zones and take-profit areas.
A tradable setup should not look the same as an early watchlist setup. The ladder clarifies that difference.
The output explains why the reading is improving or weakening so users are not forced to trust a black box.
The edge comes from the full market story — not one number alone.
Quantreef helps traders understand why an edge is rising, fading, pausing or not ready yet.
Trend
Higher-timeframe direction, swing behavior and alignment play a major role in whether a setup has supportive structure.
Liquidity
Stop zones, order-flow behavior and participation quality help show where pressure is building or failing.
Derivatives
Open interest, funding, long/short positioning and the liquidation heatmap reveal where leverage and stops are stacked.
Macro
Quantreef watches broader market pressure, risk-on/risk-off behavior and event windows that affect trader confidence.
Validation
The fused 9-layer HTF score tests whether the broader signal environment is strong enough to highlight opportunity — while still respecting risk filters.
The forces the engine weighs, one at a time.
Probability is the product of the full market story — not a single indicator.