AI-driven portfolio analysis
Pennymoor connects to your existing holdings and runs the same predictive models used by professional analysts. Setup takes under 60 seconds and requires no spreadsheets, no scripts, and no prior data science knowledge.
Deploy your portfolioPredictive analytics has been available to institutional investors for well over a decade. Hedge funds and asset managers employ dedicated data science teams to ingest market signals, weight risk, and act before the wider market catches up.
For most individuals, that toolkit has stayed out of reach — not because the models are secret, but because operating them requires technical infrastructure most people never build. Pennymoor was built to close that gap: the underlying analysis is the same, but the operational burden is removed.
You do not need to understand the mathematics behind a volatility model to benefit from its output. You need a clear recommendation, a stated reason for it, and control over whether to act.
Each stage is visible to you inside the dashboard — nothing runs as a hidden "black box".
Pennymoor pulls pricing, volume, and macroeconomic data from global markets continuously, rather than on a fixed daily schedule. This keeps the analysis anchored to current conditions, not last week's close.
Predictive models score each holding against historical volatility and correlation patterns. Assets are weighted by how much risk they add to the portfolio as a whole, not evaluated in isolation.
The output is a specific suggestion — rebalance, hold, or reduce exposure — with the statistical reasoning behind it shown alongside. You decide whether to apply it.
The aim is measurable risk reduction, not speculative upside.
Every portfolio is continuously checked against a volatility threshold you set. When exposure drifts beyond that threshold, the system flags it and proposes a correction — it does not wait for a scheduled review.
Forecasts are generated from statistical probability models trained on historical price behaviour, not from sentiment or speculation. Each forecast includes a confidence range, so you can see how certain the model actually is.
When a recommended adjustment is approved, rebalancing is executed automatically across your holdings. This removes the manual data entry that typically discourages people from rebalancing on schedule.
Pennymoor's models are developed through historical back-testing: each strategy is run against years of past market data before it is deployed to live portfolios. This does not guarantee future performance, but it does establish how a given approach has behaved across different market conditions, including downturns.
Recommendations are generated from real-time statistical probability, not from headlines or market sentiment. Where a signal is weak or contradictory, the system reports lower confidence rather than forcing a decisive call.
How different users rely on the same underlying analysis.
Holdings across shares, bonds, and funds are tracked in one place. Rebalancing suggestions arrive automatically, so there is no need to log in daily to check for drift.
Operating reserves can be allocated against a fixed volatility limit, so surplus cash is put to work without exposing the business to positions it cannot afford to lose.
Contributions are directed according to a long-term allocation plan, with the model adjusting weightings periodically as conditions shift, rather than requiring active trading decisions.
Withdrawals and portfolio adjustments remain under your control at all times. No lock-in period is required to begin.