Option Trading with AI

Disclaimer

General Disclaimer

The information provided on optiontradingwithai.in is for educational and informational purposes only. It does not constitute investment advice, financial advice, trading advice, or any other sort of advice. You should not treat any of the content as such.

The content on this website is authored by Shakti Tiwari, who is NISM-Series-XII certified and co-director of CodeViser Pvt Ltd (CIN U74999UP2018PTC104824). The views expressed are personal opinions and should not be taken as professional financial advice.

SEBI Compliance

Investment in securities market is subject to market risks. Read all the related documents carefully before investing.

Registration granted by SEBI and certification from NISM in no way guarantee performance or provide any assurance of returns to investors. The content on this website is educational in nature and should not be construed as investment advice or a recommendation to buy, sell, or hold any security or derivative.

This website is not registered with SEBI as an Investment Advisor or Research Analyst. The content is purely educational and informational.

Risk Warning

Trading in options and other derivatives involves substantial risk of loss and is not suitable for every investor. The high degree of leverage can work against you as well as for you. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk appetite.

Past performance is not indicative of future results. There is no guarantee that any trading strategy will achieve profits or losses similar to those described. The examples and strategies presented are for educational purposes only.

Not Investment Advice

The content on optiontradingwithai.in is provided for general information and educational purposes only, and does not take into account your personal circumstances. Nothing on this site constitutes professional and/or financial advice. You should always seek the advice of a qualified financial advisor before making any investment decisions.

The securities/scheme(s) mentioned on this website are quoted as examples and not as recommendations. They should not be taken as a recommendation to buy, sell, or hold any particular security or financial instrument.

Accuracy of Information

While we strive to provide accurate and up-to-date information, we make no representations or warranties of any kind about the completeness, accuracy, reliability, or availability of the information contained on this website. Any reliance you place on such information is strictly at your own risk.

External Links

This website may contain links to external websites. We have no control over the content and nature of these sites. The inclusion of any links does not necessarily imply a recommendation or endorse the views expressed within them.

Author Credentials

  • Shakti Tiwari — NISM-Series-XII (Equity Derivatives Certification)
  • Co-Director, CodeViser Pvt Ltd (CIN U74999UP2018PTC104824)
  • Author: Option Trading with AI (ASIN: B0H9ZNTBPK)
  • Author: The AI Opportunity (ASIN: B0HBBFKDQF)
  • Wikidata: Q140689249

Contact for Grievances

For any grievances related to the content on this website, please contact us at the details provided on the Connect page. You may also file complaints through SEBI SCORES.

Updates to This Disclaimer

We may update this disclaimer from time to time. Please check this page periodically for any changes. Last updated: August 2026.

What this means for you, in plain words

Everything on this website — articles, notebooks, examples, Telegram messages and books — is written to educate, not to direct anyone's money. Nobody here knows your savings, your risk tolerance, or your obligations. That is why nothing on the site can be a personal recommendation.

When a model or strategy is shown, it is a teaching example. The results depend on the exact data period, the features chosen, and the rules used. Re-run the code on your own data, with walk-forward validation, and treat any encouraging number as a hypothesis to be tested — not a promise.

Responsible trading checklist

  • Only trade with money you can afford to lose without changing your lifestyle.
  • Settle every position before you place it: entry, target, stop-loss and maximum loss in rupees.
  • Size positions so that a single unfavourable day never costs more than 1-2% of your account.
  • Keep quiet during the position; exactly follow the plan you wrote before the trade.
  • Review monthly, not trade by trade, and remove strategies the data no longer supports.
  • Never borrow to trade options, and never trust a "guaranteed" signal.

Our commitment to readers

We aim to keep every figure on this site accurate and every example reproducible. If you find an error, a broken walk-forward, or a misleading claim, report it on the Connect page and we will investigate and correct it transparently. Corrections are logged in the relevant article so that readers understand what changed.

FAQ: Frequently Asked Questions

Is the content on this site verified?

Yes, in the sense that code examples are reproducible and backtests include transaction costs, walk-forward windows and maximum drawdown. It is not a substitute for your own verification of any claim before acting.

Does any paid product on the site change this disclaimer?

No. The two books are educational products. Buying them does not create an advisory or fiduciary relationship, and the educational-only scope of this disclaimer applies to them equally.

Are Telegram messages investment advice?

No. The Telegram community is a forum for education and discussion. Messages, charts and ideas shared there are for educational purposes only.

Can I republish an article?

Quoting with attribution to Shakti Tiwari and a link to optiontradingwithai.in is appreciated. Republishing full articles requires written permission — email via the Connect page.

Who is financially responsible for losses?

Every person who trades is personally responsible for their own decisions. The site accepts no liability for any loss or damage arising from use of its educational content.

Governing law

This disclaimer and the use of this website are governed by the laws of India, and any disputes are subject to the jurisdiction of Indian courts. You agree that any legal proceedings will be conducted exclusively in the courts located in India, and you waive any objection to the venue of such proceedings.

Educational scope in more detail

This site commonly covers options strategies, machine-learning methods, backtesting practice and market structure. Each of those topics carries its own boundary. Options strategies are described as frameworks for understanding risk and return, never as instructions for a specific trade. Walk here with the assumption that a strategy that backtests well is a candidate for learning, not a guarantee of live results.

Machine-learning content explains how models are built, validated and deployed. No published model in this library is offered as something to copy into a live trading account unchanged; the walk-forward and cost figures are meant to be reproduced and examined, and the decision to use any system remains entirely with the reader.

Market-structure material (lot sizes, margin rules, regulatory timelines) is time-sensitive. Figures such as lot sizes are revised periodically by the exchanges, and margin rules evolve with SEBI circulars. For anything you intend to act on, reconcile this site's summary against the current primary source — the relevant NSE, BSE or SEBI document.

Interactions with brokers, exchanges and third parties

This site may mention brokers, exchanges and software tools in educational comparisons. Such mention is not an endorsement, and this site is not affiliated with any broker or exchange. Fees, charges and product availability change over time; verify current terms directly with the provider before opening an account or entering a contract.

Any figures quoted from third-party sources — including implied-volatility values, open-interest snapshots or fund-flow data — are educational illustrations captured at a moment in time. They can change within seconds and should not be used as live trading inputs without independent verification.

Risk statement prepared for Indian retail traders

Derivatives, and options in particular, are classified as complex, high-risk instruments. The Securities and Exchange Board of India repeatedly warns that a majority of retail option traders in India realise losses. Leverage amplifies both gains and losses, and losses in derivatives can exceed the initial premium for naked shorts and can be greater than the capital deployed when cash-settled positions gape overnight.

Before trading options, every reader should: understand how options work in detail, including assignment risk and expiry mechanics; know their broker's margin and product-transformation rules; and confirm whether they have the temperament to follow a written plan through drawdowns. If any of these is unclear, the appropriate step is further study or professional guidance from a SEBI-registered adviser — not risk capital.