Trading intelligence and risk-control preview

Trading intelligence that explains, monitors and controls every decision.

SRAKI presents a platform design for market context, explainable decision support, position assistance and governed 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.

Current phase: website and secure User Portal. Advisor strategy, live market connectivity and execution are intentionally disabled and will be introduced separately.

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

SRAKI logo
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