Business Solar Rebate real-time trading risk dashboard interface
SYSTEM STATUS: ACTIVE — 38ms AVG RESPONSE

AI risk management for traders who need decisions faster than the market moves

Business Solar Rebate monitors your open positions continuously, flags exposure breaches, and executes protective logic before losses compound. Built for active desks trading in Canadian and cross-listed markets.

A risk layer that reads your book every 40 milliseconds

Most platforms report exposure after the fact. Business Solar Rebate recalculates position risk on every tick, cross-referencing volatility, correlation, and drawdown limits set by you.

If a threshold is breached, the engine executes a pre-defined action — reduce size, hedge, or halt new entries — without waiting for manual review.

Every recalculation is logged with a timestamp and the input data snapshot, so decisions can be reconstructed and audited later.

LIVE RISK FEED t = 0.038s
Exposure limit
62%
Volatility band
41%
Correlation risk
78%
Drawdown buffer
29%

Decision-optimization tools built for execution speed

Each module runs independently and can be enabled or disabled per strategy. Metrics below reflect current production averages.

38ms

Position Scoring

Recalculates a live risk score per position using volatility, liquidity, and correlation inputs, refreshed on every price update.

99.2%

Anomaly Detection

Flags unusual price or volume behaviour against a rolling historical baseline, precision measured over the past 90 trading days.

0.4s

Auto-Hedge Trigger

Executes a pre-configured hedge instruction once exposure crosses your set threshold, without requiring manual confirmation.

24/7

Continuous Monitoring

Tracks open positions across sessions, including after-hours and overnight gaps, and applies the same rule set without interruption.

120+

Data Inputs

Ingests price, order book depth, macro indicators, and volatility surfaces from connected feeds to inform each recommendation.

100%

Decision Logging

Records every automated action with the triggering condition, timestamp, and resulting portfolio state for later review.

How a single recommendation is produced

No testimonials here — just the pipeline. Each stage below runs on every data update, not on a fixed schedule.

Ingest

Raw market data, order book snapshots, and macro feeds are normalized into a common schema.

~6ms

Model Scoring

Predictive models assign a probability-weighted risk score to each open and pending position.

~14ms

Rule Evaluation

Scores are checked against your configured thresholds for exposure, drawdown, and correlation.

~9ms

Execute or Log

If a threshold is breached, the assigned action fires. If not, the cycle result is logged and discarded.

~9ms

Built to sit alongside your existing stack

Business Solar Rebate connects through a REST and WebSocket API. It does not require you to route orders through a proprietary terminal.

// Subscribe to a live risk score for a position
POST /v1/positions/score
{
  "symbol": "TSX:SHOP",
  "size": 1200,
  "side": "long",
  "max_drawdown_pct": 3.5
}

// Response — 200 OK, avg 38ms
{
  "risk_score": 0.42,
  "action": "hold",
  "next_check_ms": 40
}
  • Equity & futures tick data REAL-TIME
  • Order book depth (L2) REAL-TIME
  • Macroeconomic indicators DAILY
  • Volatility surfaces INTRADAY
  • Historical price archive BATCH
TLS 1.3 in transit AES-256 at rest Role-based access

Built for the pace of active trading desks

Business Solar Rebate started as an internal tool for evaluating position risk during volatile sessions, when manual review was too slow to matter.

The platform now runs as a standalone risk layer, deployed alongside existing trading terminals rather than replacing them.

Every model and rule set is versioned, so you can trace which logic produced a given action on any past trading day.

Business Solar Rebate team reviewing real-time trading risk models

Connect your feed and see the first risk score in minutes

No commitment required to review the documentation. Deployment starts once your data source is connected.