Cove Vermothal data visualisation showing AI-driven market analysis
AI strategy replication

Institutional-grade AI, applied to your own trading account

Cove Vermothal copies trade signals from top-performing AI strategies directly into your brokerage account in real time, so decisions are automated while your account stays under your control.

Strategy performance

Model output, by timeframe

Figures below are backtested model outputs used for illustration. They are not a forecast, and past performance is not a reliable indicator of future results.

Strategy Alpha

Growth+4.2%
Max drawdown-1.8%
Risk index0.6

Strategy Beta

Growth+2.9%
Max drawdown-0.9%
Risk index0.4

Strategy Gamma

Growth+6.1%
Max drawdown-3.2%
Risk index0.9

Strategy Alpha

Growth+9.8%
Max drawdown-3.1%
Risk index0.6

Strategy Beta

Growth+6.4%
Max drawdown-1.7%
Risk index0.4

Strategy Gamma

Growth+13.5%
Max drawdown-5.9%
Risk index0.9

Strategy Alpha

Growth+21.3%
Max drawdown-7.4%
Risk index0.6

Strategy Beta

Growth+14.1%
Max drawdown-4.0%
Risk index0.4

Strategy Gamma

Growth+29.6%
Max drawdown-12.8%
Risk index0.9
Process

Three steps to automated execution

You keep access and control of your account at every stage. Cove Vermothal only executes the signal; it never holds your funds.

1

Connect your API key

Link a supported brokerage account using a read/write API key. Cove Vermothal can place and close trades but cannot withdraw funds.

2

Select an AI profile

Choose a strategy that matches your risk tolerance, from conservative capital preservation to higher-variance growth models.

3

Monitor results

Trades execute automatically from that point on. Review performance in your dashboard, and pause or switch strategies when you choose.

Risk management

Predictive Risk Mitigation

Volatility spikes rarely arrive without warning signs in the underlying data. The model tracks leading indicators across order flow, implied volatility, and macro data releases, and adjusts exposure before conditions deteriorate rather than after.

  • Position sizing adjusts automatically as volatility forecasts rise
  • Correlated exposure across open positions is capped in real time
  • Stop-loss thresholds recalculate on every market tick
  • Drawdown limits are enforced at account level, not only per trade
Live risk status — Strategy Gamma
Market exposure62%
Volatility forecastElevated
Action takenPosition size reduced 18%
Correlated exposureWithin limit
Account drawdown cap4.0% of 8.0%
Methodology

Data sources and model design

We keep the explanation of our methods deliberately plain. If a claim cannot be checked, we do not make it.

Cove Vermothal data analysis workspace used to monitor model inputs and strategy performance

Data integrity

Each strategy is trained on more than ten years of market cycles, covering periods of high inflation, rate shocks, and sharp equity drawdowns, rather than a single favourable period.

Model architecture

Signal generation uses gradient-boosted decision trees over short-term price and volume data. A separate risk-weighting layer sets position size independently of the entry signal, so a strong signal does not automatically mean a large position.

Update frequency

Market data is ingested continuously, with low-latency processing. Strategy weights are reviewed and retrained on a rolling basis as new data arrives, not on a fixed calendar schedule.

Turn data into capital

Set-up takes less than five minutes. Connect your account, choose a strategy profile, and let automated execution take over from there.

Access Cove Vermothal Average onboarding time: 4 minutes