Verifiable Intelligence · Built in Ireland
Personal Investment Account runs predictive models across global data streams and logs every forecast in public, so you can judge the engine on record rather than on promises.
The Problem
Working across time zones means markets move while you sleep, earn, or travel. Sorting signal from commentary becomes a second job most remote professionals never signed up for.
A single asset class can generate thousands of data points daily across news, filings, and order flow. Manually tracking this while holding down client work or a day job is not sustainable, and intuition alone cannot keep pace with the volume.
Personal Investment Account ingests structured and unstructured data continuously, scores it against historical pattern sets, and surfaces only the shifts that meet a defined confidence threshold. You review conclusions, not raw feeds.
Instead of scanning multiple dashboards before making a decision, you receive one ranked summary per asset you track. The model does the aggregation; you retain the final judgement.
Core Capability
The engine combines time-series regression with pattern classification trained on historical price, volume, and sentiment data. It does not guess direction; it ranks likely outcomes by probability and shows its working.
Incoming data is normalised, deduplicated, and weighted by source reliability before it reaches the model. Low-confidence or conflicting inputs are flagged rather than silently discarded.
Because processing runs continuously rather than on a fixed schedule, updates reach your dashboard within minutes of a material data change, not at the next quarterly review.
Transparency Log
The table below shows the log format used across all tracked assets. Entries are timestamped at the moment of publication so they cannot be edited retroactively, and a rotating group of subscribers cross-checks a sample of outcomes each month.
| Date Logged | Asset Class | Model Forecast | Outcome Window | Community Review |
|---|---|---|---|---|
| Example entry | Developed-market equity index | Directional range, 10-day horizon | Resolved post-window | Verified |
| Example entry | FX major pair | Volatility band, 5-day horizon | Resolved post-window | Verified |
| Example entry | Investment-grade bond basket | Directional range, 15-day horizon | Pending resolution | Awaiting review |
Rows above illustrate the log's format and columns. The live log, available after setup, contains the full forecast history with no entries removed, including the ones the model got wrong.
Applied Use Cases
Rebalancing recommendations are generated against your stated risk tolerance and time horizon, not a generic model portfolio. You can apply, adjust, or ignore each suggestion, and the reasoning behind it stays visible so you understand the trade-off before you act, particularly useful when your working hours do not align with a single market's open.
The model flags concentration risk and correlated exposures that are easy to miss when managing accounts alone across currencies and jurisdictions.
When a data shift crosses your confidence threshold, you get a summary of what changed and why, so decisions are based on evidence rather than headline reaction.
About Personal Investment Account
Personal Investment Account was built on the premise that an investment tool aimed at remote and location-independent professionals should operate transparently by default. The forecasting model runs continuously, but the people using it stay in control of every decision it informs. Our team maintains the infrastructure and the public log; the judgement calls on capital remain entirely yours.
Methodology & Compliance
Personal Investment Account operates under Irish and EU data protection law. Data processing agreements, retention periods, and your access and deletion rights are set out in full in our privacy documentation, and no personal account data is used to train the forecasting model without separate, explicit consent.
The model is trained on historical market data, not on individual user behaviour. Training runs are version-logged, and material changes to the model are disclosed in the performance log alongside the forecasts they affect, so you can see when methodology changes coincide with a shift in accuracy.
Access is billed on a recurring basis with no multi-year lock-in. The public summary log remains viewable without a subscription; a paid account is required to receive the full forecast detail, portfolio-level recommendations, and historical export.
Any active subscriber can review the raw log and flag discrepancies. Flagged entries are reviewed against the original timestamp and published outcome, and corrections, where warranted, are noted rather than silently amended.
Create an account to view the full historical log, set up asset tracking, and receive daily briefings on the data that moved the needle.