AI-powered trading intelligence and risk control

Trading intelligence that explains, monitors and controls every decision.

SRAKI combines market context, explainable decision support, position assistance and real-time risk control. It is designed for professional traders, trading desks, brokers and asset managers who need transparent operational intelligence rather than another isolated signal tool.

Positioning: not a lightweight add-on, not a heavy RMS/OMS — a parametric, context-aware risk layer with telemetry and governance.

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SRAKI Trading Intelligence

A decision-support layer for market intelligence, position management, exposure governance and audit-ready infrastructure.

01
Enforce

Policy checks before every position request.

02
Monitor

Health, latency, spread, exposure, and drift.

03
Audit

Replayable telemetry and config governance.

G

Market Intelligence

Market direction, momentum, delta, MFI, ADX and structure combined into an explainable operating context.

E

Position Assistance

Post-entry monitoring, hold logic, trailing eligibility, partial-close context and risk reduction actions.

A

Risk & Audit

Policy enforcement, exposure limits, CSV/JSON telemetry, config governance and replayable decisions.

How the gate works

A controlled workflow: every request is evaluated, enforced, logged, and made visible in the dashboard.

Risk Gate Flow

Request position intent Policy Gate rules + context session + limits Risk Score exposure + health telemetry-aware ALLOW DENY SHADOW Every decision is logged with timestamp, config hash, and reason codes.

Platform Stack

1
Data Layer

Market feed, platform adapters, health checks, data validation.

2
Risk Engine

Policy rules, context filters, EV gates, anti-trap and volatility guards.

3
Exposure Manager

Portfolio/basket control, caps, drawdown protection, allocation constraints.

4
Dashboard & Audit

Monitoring, reject reasons, KPI exports, configuration governance.

Start with a pilot that produces proof

A practical fintech workflow: define constraints → instrument logs → run controlled shadow mode → enable enforcement with measured upgrades.

1) Constraints

  • Maximum drawdown, exposure, latency, spread caps
  • Allowed regimes and operating sessions
  • Block reasons and exception rules

2) Telemetry

  • Structured CSV/JSON logs
  • Config versioning and rollback
  • Replayable events

3) Deployment

  • Multi-platform integration
  • Remote supervision
  • Measured iteration cycles