Woolmersdon portfolio dashboard view used while working remotely

AI Decision Engine

Deploy an AI-managed portfolio in under 60 seconds.

Woolmersdon analyses market data continuously and applies risk limits you set once. No desk required. No manual rebalancing.

Launch Portfolio Review Methodology

Read-only API connections. No fund custody by Woolmersdon.

Setup

From signup to active monitoring in three steps.

No onboarding calls. No paperwork. Connection runs through encrypted, read-only API keys.

STEP 01

Connect

Link an existing brokerage or exchange account using a read-only API key. Woolmersdon never holds your funds.

~10 sec

STEP 02

Calibrate

Set capital allocation limits and maximum drawdown tolerance. These values govern every future decision.

~25 sec

STEP 03

Deploy

The model activates and begins monitoring your positions against live market data immediately.

<25 sec

Deployment Response — Sample Output

status: "deployed"
session_id: "wd_7f2c9a1e"
init_duration_ms: 4120
risk_profile: "calibrated"
monitoring: "active"
timestamp: "2024-05-14T08:12:01Z"

Intelligence

Predictive modules running against your portfolio.

Each module runs independently and feeds a shared risk register, updated on its own refresh cycle.

Live data feed

Module	Function	Refresh Interval	Status
Volatility Scanner	Flags abnormal price movement across watched assets	500 ms	Active
Correlation Matrix	Tracks cross-asset dependency shifts in real time	2 sec	Active
Drawdown Guard	Reduces exposure when loss thresholds are reached	1 sec	Active
Liquidity Check	Confirms exit routes before sizing a new position	5 sec	Active
Rebalance Trigger	Recalculates target weights after allocation drift	60 sec	Active

For Remote Operators

Built for income that doesn't wait on your time zone.

Working across time zones means your portfolio needs to run without you. Woolmersdon monitors positions continuously, so decisions get made whether you're asleep, in transit, or offline entirely.

You set the parameters once. The system executes within those limits and logs every action for review when you're back online.

1,440 Monitoring checks run per day

0–2 Manual interventions typically needed per week

24/7 Model uptime across all time zones

<60s Time from signup to active deployment

Automation loop

You travel

→

Model monitors

→

Risk checks apply

→

Trade executes

Log recorded

→

You review later

About the Platform

A decision layer, not a trading desk.

Woolmersdon analytics interface showing portfolio monitoring data

Woolmersdon was built to remove the operational overhead of active portfolio management. The platform does not pick stories or narratives; it processes structured market data and applies pre-set rules.

Every recommendation is generated from the same data pipeline available to you. There is no hidden tier of information. What the model sees, you can review in the session log.

The result is a system suited to people who need decisions made on a schedule they cannot control personally.

Methodology

How the model makes decisions.

No performance guarantees are made. Every decision operates inside the limits you configure at setup.

Algorithm Overview

Woolmersdon combines gradient-boosted pattern models with volatility clustering analysis. Outputs are weighted recommendations, not guaranteed forecasts. The model re-scores positions on every refresh cycle, not on a fixed daily schedule.

Risk Parameters

Max position sizeUser-defined
Max drawdown stopUser-defined
Correlation exposure cap0.6 default
Rebalance frequency60 sec cycle

Data Source Verification

Market data is pulled directly from connected exchange and brokerage APIs. Each data packet is timestamped and checksum-verified before entering the model, reducing the risk of acting on stale or corrupted feeds.