Every tool built around historical data, not market noise
Ruby Capitora turns decades of market history into structured, readable analysis — so first-time investors can understand what's happened before deciding what to do next.
What Ruby Capitora gives you before you invest a single pound
A structured set of analysis tools designed to remove guesswork from early-stage investment decisions, without asking you to trust a stranger's opinion.
Historical Backtesting
Run any strategy or asset combination against decades of recorded market data to see how it would have performed across different cycles, not just the most favourable one.
Volatility Mapping
Visualise how an asset or portfolio has moved through past downturns and recoveries, giving you a realistic sense of risk before committing capital.
Scenario Comparison
Place multiple hypothetical portfolios side by side and compare their historical drawdowns, growth patterns, and recovery timelines in one view.
Plain-Language Reports
Every analysis is accompanied by a written summary that explains the data in ordinary terms, avoiding jargon that assumes prior investing experience.
Custom Time Ranges
Narrow or widen the historical window you're studying, so you can see how conclusions shift depending on the period examined.
Exportable Summaries
Download a clear record of any analysis you've run, so you can revisit your reasoning later or discuss it with someone else before deciding.
See how a decision would have played out before you make it
Instead of forecasting what markets might do, Ruby Capitora shows you what comparable conditions have historically produced. That distinction matters: it keeps the focus on documented outcomes rather than speculation.
- Model a hypothetical allocation against multiple historical periods at once.
- Adjust starting amounts, timeframes, and contribution patterns to see how outcomes shift.
- Review drawdown depth and recovery length for any tested period, not just the average.
- Save and revisit past analyses as your understanding develops.
From question to structured analysis in four steps
Each session follows the same disciplined process, so results stay consistent and easy to interpret.
Define the scenario
Enter the assets, amounts, or strategy you want to examine.
Select a time window
Choose the historical period or periods you want the model to draw from.
Run the backtest
Ruby Capitora applies the scenario against recorded historical data and generates results.
Read the report
Review a plain-language summary alongside the underlying charts and figures.
Analysis you can trace back to its source
Every chart and figure in Ruby Capitora is generated from the same underlying historical dataset, so results stay consistent whether you're comparing one asset or ten.
Illustrative view: historical drawdown comparison
Illustrative representation only — actual reports display figures drawn from the specific scenario and time range you select.
Consistent methodology
The same calculation logic is applied across every backtest, so results remain comparable from one session to the next.
No hidden assumptions
Reports state the time range and inputs used, so you can see exactly what conditions produced each result.
Questions about how the features work
Does Ruby Capitora predict future prices?
No. The platform models how a scenario would have performed using historical data. It does not forecast future market movement or guarantee future results.
Can I test more than one scenario at a time?
Yes. The scenario comparison feature lets you place multiple hypothetical portfolios side by side over the same or different historical periods.
Do I need investing experience to use these tools?
No. Reports are written in plain language alongside the underlying charts, so the data is accessible even if this is your first time reviewing market history.
Can I export or save my analysis?
Yes. Any backtest or comparison can be downloaded as a summary you can keep, revisit, or share for further discussion.
Explore your first scenario with Ruby Capitora
Start building a clearer, data-informed picture of how a strategy might have performed — before you decide anything.
No obligation. Analysis-based, not advice-based.