QCA
CORE ONLINE

QCA Cognitive Architecture

Regime before direction.
State before signal.

Most market tools report what price did. QCA evaluates what kind of market is forming — the structural character of the current price action, not its history.

Five perception dimensions

What QCA reads — and why.

Each cognitive cycle, QCA evaluates five dimensions of market state simultaneously. No single dimension overrides — the weight shifts with what the market is doing.

LAYER 01 REGIME The structural character of the current market — bull, bear, or flat. Regime determines directional bias and gates all other signals. No regime conviction, no trade.
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LAYER 02 MOMENTUM The character of price movement — continuation or reversal. Determines whether the current directional move is accelerating or exhausting itself.
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LAYER 03 PROBABILITY The balance of continuation and reversal probability — not a prediction, a confidence reading. Wide gap means high-conviction structure. Narrow gap means the market is undecided; QCA stands aside.
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LAYER 04 VOLATILITY Current market noise floor. High volatility reduces confidence in any directional signal. Low volatility in a trending regime sharpens entries and tightens exit windows.
TERMINAL
LAYER 05 HORIZON Time-bounded exit window. Every position has a horizon limit — if the thesis hasn't resolved by timeout, the machine exits regardless of floating PnL. No open-ended bagholding.
TERMINAL

The cognitive gap

Different question. Different answer.

Traditional indicators are functions of price history — they answer "where has price been?" QCA evaluates market state — it answers "what kind of market is forming right now?" These produce fundamentally different signals.

Indicator approach
Price crossed MA-50 from below
RSI at 65 — approaching overbought
MACD crossover detected
Stop hit — position closed
QCA cognitive read
Regime: bull · Momentum: continuation · Entry gate open
Continuation 61% / Reversal 39% · Edge confirmed
Slope cleared · Regime aligned · Confidence 0.71
Regime reversed · Position re-evaluated · Machine exited

Architecture vs architecture

General intelligence applied to markets.
Market intelligence built as a system.

General-purpose AI can reason about markets, use tools, process live information, and assist with decisions. QCA takes a different architectural approach: market perception, memory, objectives, execution, realized outcomes, and adaptive policy are parts of one persistent cognitive system — not surrounding context supplied to a language model.

General-purpose AI / LLM
QCA Cognitive Engine
Operating model
Receives context and produces a response or tool decision.
Maintains a market-specific cognitive loop across live cycles. No prompt required.
World model
Market structure must be represented through supplied context or tool integrations.
Regime, momentum, probability, volatility, horizon, goals, strategy, and execution state are native system concepts — not inputs.
Outcome
Produces reasoning, content, or tool instructions.
Its cognition directly governs qualification, position state, and exchange execution.
Experience
Prior outcomes can be supplied as context or stored by surrounding systems.
Realized outcomes are wired directly into strategy and execution learning — not logged externally.
Learning consequence
Analysis of a failed trade does not inherently alter a future market policy.
Trade outcomes adjust predictive weights, profile conviction, and future candidate ranking inside the same system.
Execution economics
Can reason about fees when supplied with them.
Fee and execution constraints are encoded inside the decision path itself. An entry that doesn't clear the round-trip hurdle is structurally blocked.
Persistence
Persistence depends on the surrounding application.
Strategy conviction, feature weighting, profile state, and path learning are explicitly persisted — independently of any session.
Improvement loop
Model behavior is primarily changed through prompting, context, tools, or provider updates.
QCA has code-defined internal mechanisms for strategy evolution and measured system improvement — driven by its own outcomes.

Holding edge

Entry edge ≠ holding edge.

When QCA enters a position, it doesn't lock a view. The same cognitive layer that evaluated the entry keeps reading every market cycle. Regime shifts. Momentum reverses. The machine acts on what the market is telling it now — not what justified the entry.

01 ENTRY Regime confirmed · slope gate cleared · confidence above floor · position opened at market
02 HOLD Cognitive layer continues reading every cycle · regime still valid · momentum confirming · position held
03 RE-EVALUATE Regime shifts · momentum reverses · original thesis invalidated by current state
04 EXIT Current state no longer supports position · machine closes · outcome recorded · next opportunity

Live cognitive state · OKX

QCA is reading the market now.

The five dimensions above — live. Updated every 15 seconds from the active engine.

QCA · COGNITIVE CORE · OKX
REGIME—
MOMENTUM—
CONTINUATION—
REVERSAL—
PRICE—

See it processing live. Or deploy it for your market.

The Alpha Terminal shows QCA's cognitive state in real time — regime, probability, and momentum as they update. The Build path deploys this intelligence around your own strategy, exchange, and rules.