Forecast outcomes from your own data patterns
Models are trained on the data streams you connect, not generic market averages, so forecasts reflect your actual positions, history and trading cadence.
Felixlo connects to your existing data sources, runs predictive models in the background, and returns risk-adjusted recommendations you can act on the same session, without hiring an analytics team.
Illustrative view of what you see after connecting a data source.
Most independent analysts and part-time investors in the UK assemble their view of the market from several disconnected places: a broker export here, a spreadsheet there, a news feed on a different screen. By the time the numbers are reconciled, the window to act on them has often narrowed or closed.
Felixlo was built around a simpler premise: the value of financial data drops sharply with every hour it sits unprocessed. Reducing that lag, not adding more charts, is the problem worth solving.
Each capability addresses a distinct point in the decision process, from forecasting to execution.
Models are trained on the data streams you connect, not generic market averages, so forecasts reflect your actual positions, history and trading cadence.
Automated risk scoring flags concentration, volatility and drawdown patterns early, so you can adjust a position before it becomes a problem, not after.
Processing pipelines are built to handle larger data volumes as your portfolio grows, keeping response times consistent rather than slowing down under load.
The setup is deliberately short. The processing behind it is not.
Link a brokerage account, exchange feed, or upload a CSV export through a read-only connection. Most users complete this step in under 60 seconds.
60-second setupPredictive models cross-reference your data against historical patterns and current conditions, recalibrating as new data arrives rather than running on a fixed schedule.
You receive a ranked set of risk-adjusted recommendations, with the reasoning behind each one, ready to export or act on directly.
Many Felixlo users are not full-time analysts. They are independent investors and freelance analysts fitting portfolio review between client work, which is why the platform is designed to be checked in short sessions rather than monitored constantly.
The interface favours clear, ranked recommendations over dense charts, on the basis that a decision made quickly from a clear signal is usually more useful than a perfect chart reviewed too late.
The underlying models are the same; the questions asked of them differ.
An independent investor connects their brokerage account and a spreadsheet of side holdings. Within a minute, Felixlo flags that one sector position has grown beyond their usual risk tolerance and suggests two rebalancing options, ranked by expected impact on volatility. The review takes a few minutes during a lunch break rather than a full evening of manual reconciliation.
A small analysis team connects transaction data and recent market feeds ahead of a quarterly planning meeting. Felixlo surfaces a risk-adjusted comparison of three allocation options, each annotated with the data points driving the ranking, so the team can bring a defensible recommendation to the meeting rather than a raw data dump.
Data connections are read-only wherever your provider supports it, meaning Felixlo can analyse your data without the ability to place trades or move funds. Data is encrypted in transit and at rest, and you can disconnect a source at any time from your account settings.
Accuracy depends on the quality and history of the data connected: longer, cleaner data histories generally produce more reliable forecasts. Models recalibrate as new data arrives, but no predictive model can guarantee future returns, and recommendations should be treated as one input into your own decision, not a substitute for it.
Onboarding starts with connecting one data source, either through a broker integration or a file upload, and selecting the type of portfolio you're analysing. Initial recommendations are typically available within minutes of the first data sync, with accuracy improving as more history is processed.
No analytics background required. The setup takes about as long as reading this sentence twice.
Start your portfolioRead-only data connections · Encrypted in transit and at rest