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Risk Disclosure

Last updated: 30 May 2026

Quick read — how to use Zarvix responsibly

  • Backtests are simulations on historical data. They tell you how a strategy would have behaved — not how it will behave next quarter.
  • AI-generated strategies should be reviewed and validated by you before any real-money decision. The AI is a tool, not a verdict.
  • Trading derivatives, options, and futures involves leverage and risk of substantial loss. Position size accordingly.

The full disclosure below explains the specific limitations of backtests and AI output, and the market and operational risks you should be aware of.

1. What the Platform is — and what it is not

Zarvix AI Private Limited (the "Company") operates an end-to-end algorithmic-trading platform for Indian markets (NSE / BSE). The Platform:

  • Lets you build, research, backtest, and refine strategies in plain English (or Hindi, Hinglish, Tamil);
  • Routes orders to your own connected Symphony XTS broker account for live deployment — but only when you explicitly confirm each deployment. Live deployment is currently available to proprietary traders and trading desks; retail live deployment (via Zerodha, Upstox, and other mainstream retail brokers) is coming soon, pending NSE algo-vendorship empanelment;
  • Never holds your funds, securities, banking credentials, broker password, trading PIN, or 2FA token;
  • Never auto-trades — every live order requires your explicit approval before reaching the broker;
  • Is not a broker, an investment adviser (RIA), a portfolio manager (PMS), or a research analyst (RA);
  • Does not provide personalised investment advice, tips, or recommendations.

You — not the Platform — are the trader. The Platform helps you build and test; you decide every live trade. Any profit, loss, slippage, broker error, or regulatory consequence arising from a live deployment is solely yours.

2. Backtest results are hypothetical

All performance figures, equity curves, win rates, drawdowns, and other metrics shown on the Platform are simulations, computed by running the strategy against historical market data. They are not records of real trades.

Because the trades didn't actually happen, the simulator can't fully capture real-world frictions, including:

  • Slippage and impact cost — your order moves the market; the simulator usually doesn't.
  • Latency — real fills happen a few milliseconds after the signal, often at a worse price.
  • Partial fills — exchanges may not fill your full lot at the displayed price.
  • Survivorship bias — historical data may exclude instruments that were delisted or failed.
  • Look-ahead bias — strategies can inadvertently use information that wasn't actually available at the simulated moment.
  • Regime change — what worked in 2018 may behave differently in 2026.
  • Curve fitting — a strategy that looks great on past data may fail out-of-sample.

Past performance — whether actual or hypothetical — is not indicative of future results.

3. AI-generated strategies are not validated

The Platform uses large language models to generate strategy code and explanations from your natural-language prompts. AI output may:

  • Misinterpret your intent and produce a strategy different from what you described;
  • Contain logical errors that pass backtest validation but fail in live execution;
  • Reference indicators or instruments that are inappropriate for your risk tolerance;
  • Generate similar strategies for other users — there is no exclusivity in AI output.

You are solely responsible for reviewing AI-generated strategies, understanding their logic, and validating them before any real-money decision.

4. Market and instrument-specific risks

Trading in Indian financial markets involves risks specific to the asset class and structure. By way of illustration, not limitation:

  • Equity — prices fluctuate due to company-specific, sectoral, and macroeconomic factors. Capital is not guaranteed.
  • Futures and options — leveraged instruments where you can lose more than your initial margin. Theta decay, gamma risk, and assignment risk are non-trivial.
  • Index derivatives — large notional exposure with relatively small margins. Adverse moves can wipe out capital quickly.
  • Liquidity risk — illiquid contracts can have wide bid-ask spreads and slippage that erode strategy edge.
  • Lot-size and expiry constraints — exchange and regulatory rules around lot sizes, position limits, and expiry days affect strategy viability.
  • Margin and SPAN — required margins change based on volatility and regulatory rule updates.

5. Live-deployment risks (when you connect a broker)

If you choose to deploy a strategy live by connecting your Symphony XTS broker account, additional risks apply:

  • Slippage and latency — the gap between the AI's signal, your approval, and the broker's actual fill can move price meaningfully; the realized trade can differ materially from the backtest.
  • Partial fills and rejection — your broker or the exchange may partially fill, reject, or queue an order; the Platform reports the broker's response but cannot guarantee an execution at the displayed price.
  • Broker / API outages — if your broker's API is down, slow, or returns errors, orders may not be sent, may be sent stale, or may not exit a position in time. The Platform cannot square-off a position if the broker itself is unreachable.
  • Risk-gate blocks — the Platform may block an order at its internal risk-gate layer (for example, a manipulation-pattern match, an unsupported leg type, an F&O ban-list instrument, an exposure cap). A blocked order is not a Platform fault — it is a deliberate safeguard.
  • Network and authentication — broker API keys can expire, rotate, or become invalid; if your XTS session drops mid-deployment, orders queued for placement may fail.
  • Margin and SPAN changes — exchanges revise margin requirements intra-day; a live position that fit your margin yesterday may breach it today.
  • You alone are responsible for monitoring open positions, managing risk in real time, and squaring off if your strategy stops behaving as expected. The Platform shows you live state but does not auto-manage trades.

Before deploying live, paper-trade in research / backtest mode first. A strategy that looks great on six years of historical data can fail in live conditions for any of the reasons above.

6. Operational and technology risks

  • Platform availability — we aim for high uptime but cannot guarantee uninterrupted service. Cloud, AI provider, or network outages can prevent access at critical moments.
  • Data quality — historical market data is sourced from third parties and may contain gaps, splits/bonus adjustments, or errors.
  • Indicator and Greeks computation — values are computed using standard formulas; small numerical differences vs your broker terminal can occur.
  • Model risk — AI models evolve over time; the same prompt may produce different strategies as models are upgraded.

7. No investment advice

Nothing on the Platform — including AI-generated strategies, backtest results, performance metrics, suggested refinements, chat responses, or live deployment behaviour — constitutes investment, financial, legal, or tax advice. You should consult a qualified financial adviser before making any investment decision.

8. Your responsibility

You are solely responsible for:

  • Assessing whether a strategy is suitable for your financial situation, objectives, and risk tolerance;
  • Validating AI-generated strategies independently before deploying capital;
  • Sizing positions appropriately and using stop-losses where relevant;
  • Complying with applicable tax, anti-money-laundering, and exchange-membership rules;
  • Monitoring live positions — the Platform shows live state via your broker connection but does not auto-manage or square-off trades on your behalf.

9. Acknowledgement

By using the Platform you acknowledge that you have read, understood, and accepted this Risk Disclosure, and that you are using the Platform with full awareness of the risks involved. If any of the above is unclear, do not use the Platform until it has been clarified — write to support@zarvixai.com.

Zarvix AI Private Limited · CIN: U62011PN2025PTC248729 · GSTIN: 27AACCZ8146M1ZN · DPIIT (Startup India): DIPP233049 · Backed by Microsoft for Startups