Glen Investwick processes real-time price, volume and macroeconomic data across UK and international venues, then measures every model against years of historical market behaviour before it reaches your screen.
Live dashboard preview: cumulative backtested performance of three core strategies plotted against the FTSE 100, with drawdown periods and volatility bands shaded for context.
UK equities, gilts and sterling pairs can move on macro data releases, index rebalancing and overseas sentiment within the same trading session. A single analyst, however experienced, can only track a limited number of instruments and signals at once, and fatigue affects judgement long before it affects confidence.
Most retail-grade tools compound the problem: they surface indicators without context, and rarely disclose how those indicators performed across previous market cycles. Glen Investwick was built to close that gap, using systematic testing rather than intuition alone.
We favour clarity over complexity. Each stage below is documented so that you can see how a recommendation was formed, and decide for yourself whether to act on it.
Real-time feeds from UK exchanges and major global markets are combined with macroeconomic releases, order-book depth and news-derived sentiment. Data is timestamped and reconciled before any model sees it, reducing the risk of stale or mismatched inputs.
Every candidate strategy is run against historical market data spanning multiple cycles, including periods of stress. We apply walk-forward testing rather than a single static backtest, so results reflect how a model would have adapted, not just how it performed once.
Live conditions are compared continuously against backtested expectations. When market behaviour diverges from the historical pattern a model was trained on, its confidence weighting is adjusted, and the change is logged for your review.
We present performance data the way an analyst would want to see it: alongside drawdown, volatility and benchmark comparisons, rather than as an isolated headline figure.
Tracked separately for each backtested strategy and updated as new market data is incorporated, rather than presented as one blended figure.
The largest peak-to-trough decline observed during backtesting, shown alongside the market conditions in which it occurred.
Return measured relative to volatility taken on, so performance can be assessed on a comparable basis across strategies and timeframes.
The chart traces cumulative backtested returns for each active strategy against the FTSE 100 over the same period, with a secondary line for a global benchmark where relevant. Shaded regions mark historical drawdown periods so context is never separated from the headline curve.
A separate overlay tracks position sizing limits, stop-loss discipline and portfolio-level exposure, so any recommendation can be evaluated against your own risk tolerance before it is acted upon. This overlay is designed to support, not automate, your final decision.
The same underlying models serve two distinct purposes: sharpening short-term execution and informing longer-term positioning.
During UK trading hours, the system monitors order-book depth and short-term price behaviour across your watchlist, flagging conditions that historically preceded significant intraday moves. Alerts are ranked by historical reliability, not urgency, so you can prioritise your attention accordingly.
For positions held over weeks or months, the platform models correlation shifts between UK and global assets, surfacing hedging structures that have historically reduced drawdown during comparable market regimes. Recommendations include the backtested trade-off between cost and protection, left for you to weigh.
Sentiment derived from regulatory filings, earnings commentary and broad news coverage is scored and weighted against its historical predictive value for the instrument in question, rather than treated as a uniform input. This keeps sentiment signals proportionate to how much they have actually mattered in the past.
Sophisticated traders tend to ask about data provenance and latency before anything else. Here are direct answers.
Pricing and volume data are sourced from licensed UK and international market data providers and refreshed continuously during trading hours. Macroeconomic and sentiment inputs are updated as they are published, with timestamps preserved so you can verify how recent any given input is.
Latency varies by data type and instrument liquidity. Order-book-driven signals update in near real time; sentiment and macro-derived signals, which require more processing, typically lag by a short interval. Full latency specifications by data category are available in our technical documentation.
Every recommendation is accompanied by the backtested rationale behind it, including the historical conditions the model identified and its confidence level. We do not present outputs without the reasoning that produced them.
No. Glen Investwick is decision-support software. It surfaces analysis and historical evidence; the decision to act, and any order placed, remains entirely yours.
Account data is encrypted in transit and at rest, and access is restricted to authenticated sessions. We do not sell or share client data with third parties for marketing purposes.
Yes. The underlying data architecture is built to ingest and reconcile UK and global feeds concurrently, which is a requirement for the cross-market correlation and hedging analysis described above.
For latency benchmarks, data source lists and model validation notes, see our technical specification overview.
Access is granted after a short review call, so we can confirm the platform suits your trading profile and answer any outstanding technical questions. Your data remains encrypted throughout, and no account activity is shared with third parties.
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