Risk Disclosure

Last updated: 11 June 2026

1. Derivatives are high-risk instruments

Options and futures trading involves a substantial risk of loss and is not suitable for every investor. Leverage can work against you: losses on short option positions can substantially exceed the premium received and, for unhedged positions, are potentially unlimited. A SEBI study published in 2023 found that roughly 9 out of 10 individual equity F&O traders lost money. Trade only with capital you can afford to lose.

2. Backtests are hypothetical — by nature

A backtest shows what a set of rules would have done on historical data. It is not actual trading. Even though Vriddhix is deliberately conservative, no simulation fully captures live markets:

• Liquidity and fills: historical quotes do not guarantee your order would have been filled at those prices, in that size. Vriddhix uses conservative fills (sell at bid, buy at ask) and flags synthetic fills, but real slippage can be worse — especially on illiquid strikes and fast markets.
• Market impact: your own order can move the price; simulations cannot model this.
• Regime change: the past is one path. Volatility regimes, margin rules, lot sizes, and market structure change; a strategy that worked historically can stop working without warning.
• Overfitting: testing many variations until one looks good produces strategies that fit the past, not the future.
• Costs and margins: statutory charge rates change over time. Margin requirements are estimates, not broker quotes.

3. Vriddhix gives information, not advice

Vriddhix never recommends a trade, predicts a return, or tells you what to do. Every number you see is a historical simulation result. What you do with it is your decision and your responsibility. Consider consulting a SEBI-registered investment adviser before trading.

4. Data limitations

Historical market data may contain vendor errors, gaps or revisions despite our validation checks. Where data quality issues affect a window, Vriddhix blocks backtests on it rather than guessing — but no dataset is perfect.

5. No guarantees

Nothing on this platform is a promise, projection or guarantee of performance. Any figure you see describes the past, net of modelled costs, under stated assumptions — nothing more.