CLASSIC 12 applies AI-led data analysis to automate dollar-cost averaging, spreading your contributions across carefully calculated entry points instead of relying on a single, high-pressure decision.
Deciding when to invest is often harder than deciding whether to invest at all. A single misjudged entry point can shape how confident someone feels about the whole process, long after the market itself has moved on.
CLASSIC 12 was built around a simple observation: consistency and data discipline tend to outperform guesswork, particularly for people who have neither the time nor the inclination to monitor markets daily. The platform takes on that monitoring, so timing decisions are guided by analysis rather than by instinct or headlines.
Fear of poor timingInvesting a lump sum right before a downturn is a common worry, and it often delays the decision to start at all.
Information overloadInterest rate changes, earnings updates and global events arrive constantly, with little guidance on what actually matters.
Manual entry is demandingReviewing charts and indicators daily is not realistic alongside a full-time job or other responsibilities.
The system continuously draws in global market indicators, including equity movements, currency shifts and macroeconomic releases, refreshing its picture of conditions throughout each trading day.
A recommendation engine weighs current volatility against your chosen risk profile, identifying periods where a scheduled contribution is more or less favourably timed.
Once conditions align with your strategy, contributions are entered at calculated points automatically, removing the need for you to act manually or watch the market in real time.
Losing money is the concern that keeps most first-time investors on the sidelines. CLASSIC 12's predictive models are built to reduce, not eliminate, that exposure: contributions are paced against volatility readings, and holdings are periodically rebalanced back toward your target allocation as conditions shift.
This does not remove market risk entirely — no method can — but it replaces impulsive, emotion-driven decisions with a documented, repeatable process that you can review at any time.
Illustrative representation of staged contribution sizing, adjusted as short-term volatility rises and falls. Actual allocations depend on your individual risk setting and prevailing market data.
Rather than asking you to trust a black box, we set out the twelve categories of data our analysis engine monitors on an ongoing basis. Each pillar feeds into the same risk-adjusted decision process described earlier, and none is treated in isolation.
Client funds are held with regulated custodians rather than on our own balance sheet, and we operate in line with the standards expected of UK financial services providers. As with any investment, capital is at risk and value can go down as well as up.
The algorithm does not pause simply because prices have fallen. Instead, it reassesses volatility and, depending on your risk setting, may adjust the size or timing of the next scheduled contribution rather than withdrawing from the market entirely.
No prior trading experience is required. The platform is designed for people who want a structured, automated approach and prefer to set a strategy once rather than make frequent manual decisions.
Yes. You can review and change your contribution schedule and risk setting at any time; the model will recalculate future entry points accordingly.
There is no requirement to commit a large sum from the outset. Most clients begin with a modest, regular contribution and increase it once they are comfortable with how the platform behaves.