Last updated: 6 July 2026
This Risk Disclaimer forms part of the SkewLab Terms of Service. Please read it carefully before using any output of the platform.
1. No investment advice
SkewLab is an analytical software tool. Nothing on this platform — backtests, metrics, stress tests, Monte Carlo simulations, reports, charts, or AI-generated suggestions — constitutes investment advice, a personal recommendation, or an offer or solicitation to buy or sell any financial instrument. SkewLab and BoGames Software Ltd are not authorised or regulated by the Financial Conduct Authority or any other financial regulator. Before making any investment decision, consult a qualified, authorised financial adviser.
2. Hypothetical performance — inherent limitations
Backtest results are hypothetical: they are computed by applying rules to historical data and do not represent actual trading. Hypothetical performance has well-known, inherent limitations:
- results are prepared with the benefit of hindsight and can be over-fitted to the past;
- no hypothetical record can fully account for real execution: slippage beyond modelled assumptions, partial fills, liquidity constraints, outages, and the impact of your own orders on the market;
- hypothetical results do not reflect the effect of emotional and financial pressure of real losses on decision-making;
- market conditions change: past performance — real or simulated — is not indicative of future results.
No representation is made that any account will or is likely to achieve profits or losses similar to those shown.
3. Risk of loss
Trading and investing in equities, ETFs, bonds, futures, foreign exchange and crypto-assets involves substantial risk of loss, including the possible loss of all invested capital. Leverage amplifies losses. Crypto-assets are highly volatile and largely unregulated. Never invest money you cannot afford to lose.
4. Data limitations
Results depend on the quality and coverage of the underlying data, which have known limits, including:
- vendor errors and adjustments: prices may contain errors, gaps, or corporate-action adjustments applied with the vendor's methodology;
- coverage differences by market: some datasets include delisted instruments (survivorship-bias-free), while others — including, at present, European equities — cover only currently listed instruments and are therefore subject to survivorship bias, which tends to overstate historical performance; dataset descriptions in the app indicate the applicable coverage;
- dividend treatment: depending on the dataset, series may be price-return (dividends excluded) or total-return, as indicated in the app;
- intraday history depth varies by market and instrument;
- proxy substitution in stress tests: where an instrument lacks data for a historical window, the platform may substitute an asset-class benchmark (proxy), as flagged in the relevant report.
5. Models and simulations
Stress tests replay specific historical windows and cannot predict future crises. Monte Carlo simulations are based on statistical assumptions (e.g. resampling of historical returns) that may not hold in the future. Metrics such as Sharpe, Sortino, CAGR and drawdown are estimates conditioned by the sample period.
6. AI-generated content
AI suggestions are automatically generated analytical observations about your strategy or portfolio parameters. They may be incomplete, generic or wrong, and are not tailored to your financial situation, objectives or risk tolerance. Verify independently before any use.
7. Your responsibility
Any use of SkewLab outputs to make investment decisions is at your sole risk and responsibility. To the maximum extent permitted by law, BoGames Software Ltd accepts no liability for trading or investment losses. See Sections 4 and 14 of the Terms of Service.
8. Language
In case of discrepancy between language versions, the English version prevails.