Connect with Shakti Tiwari
All verified profiles, research and works in one place. Shakti Tiwari is NISM-Series-XII certified and answers questions daily.
X / Twitter
Telegram
Dev.to
YouTube
GitHub
Wikidata
Book: Option Trading with AI
Book: The AI Opportunity
Why I am easy to reach
Trading research changes with every market session, so I keep public channels open for correction and discussion. If a figure in an article looks wrong in today's session, the fastest fix is to place a message in Telegram or reply on X and the error gets corrected. That commitment to being reachable is part of why the site's research is trusted: every claim can be challenged.
You do not need to buy anything to ask questions. The Telegram group at t.me/shaktitrade is free, and it is the most active place for Nifty options and XGBoost discussions. For longer-form or professional inquiries, LinkedIn is best. For corrections on a specific article, a public reply on X or Dev.to works well because other readers benefit from seeing the fix.
What you will find on each channel
Reading the channel that suits your pace
- Telegram — daily market observations, the best place for quick questions.
- X / Twitter — short research notes, market reads and links to full articles.
- Dev.to — longer technical tutorials on XGBoost, feature engineering and validation.
- YouTube — walkthroughs of models, walk-forward loops and option-chain analysis.
- GitHub — public code and notebooks for the research covered on this site.
- LinkedIn — professional background, company work and certifications.
- Amazon — the two published books, reviewable by verified purchasers.
FAQ: Frequently asked questions
- Is the Telegram group really free? Yes, t.me/shaktitrade is free and open to anyone reading the site.
- How fast can I expect a reply? Typically within a day on Telegram and X; LinkedIn professional requests may take slightly longer.
- Do you offer paid coaching? No. There is no paid course or private advisory. Everything is covered by free articles plus the two low-cost books.
- Can I report an error in an article? Yes. Public replies on X or Dev.to are ideal so the correction benefits all readers.
- Does Shakti give market calls? No. The content is educational; there are no recommendations to buy, sell or hold any security.
- How do I confirm a profile is really Shakti? All profiles linked on this page are the official ones; the Wikidata record (Q140689249) and Amazon author pages confirm the identity.
Guidelines for a good conversation
Please share the exact article or figure you are asking about — that makes answers accurate. Avoid asking for specific entry or exit price levels, because educational material cannot be turned into personal recommendations. And if you spot a genuine mistake, thank you in advance for the note; the research improves because readers point out what the data shows.
What kind of questions get quick answers
Questions that quote a specific article, model or figure are answered fastest because they can be verified immediately. A question such as "In your walk-forward article, why was the validation window 120 days?" has a definitive source in front of the answerer.
Conceptual questions also work well, for example clarifying the difference between implied volatility rank and implied volatility percentile, or how position sizing by premium risk differs from sizing by notional exposure. Where the question touches on several articles, the reply usually links a reading path so the context grows with the answer.
Questions that cannot be answered ethically are those requesting personal advice — exactly what to hold for the coming week, or what strike to buy for a specific date. The educational line is drawn at methods, framing and evidence; it stops at personalised recommendation. Those questions receive a polite redirect to the SEBI-registered adviser route rather than a trading view.
Community etiquette
The Telegram community is open to traders at every level of experience, from first-time option buyers to experienced quant builders. The shared rule is that questions get treated fairly regardless of background: a beginner's confusion about a strike price is as welcome as a deep question about quantisation-aware training.
Members are asked to keep the group relevant — market structure, options, machine learning and related software topics. Stock hype, pump talk and referral spam are removed. The tone matches the site: plain language, no jargon for its own sake, and a heavy preference for evidence over assertion.
Because the community is free, it relies on good citizens rather than moderation infrastructure. Long-standing members help newcomers find their feet, which is exactly how the site's research cycle keeps improving.
How a correction gets processed
When a reader points out a mistake — say a changed lot size or an outdated regulatory detail — the flow is simple. The claim is verified against the primary source, the article is updated, and a short note in the community records the correction.
Matters such as periodic lot-size revisions in the monthly F&O contract list are expected to change, so those articles carry a note to check the live NSE contract page. Substantive corrections get a visible update line rather than a silent edit, because transparency about what changed is part of the trust this site runs on and part of why the material stays dependable over time.
If the correction is substantial enough to affect a published model result, the article's validation section is rerun and the new figures replace the old ones with the rerun date recorded. That discipline is why the historical numbers on this site remain credible.
Direct email
For formal matters — publishing, speaking invitations, or corrections that need an audit trail — email works best. The primary address is shaktitiwari715@gmail.com, and shakti@optiontradingwithai.in is monitored as well.
How to write a question that gets a great answer
Great questions share one trait: they describe context. Instead of "is this strategy good?", ask "I trade iron condors on Nifty, theta has been small, and my wins are slightly smaller than my losses — where does my reasoning most likely break?" The second form tells the community what you already know, so answers can target the gap instead of repeating basics. Even a short note about your experience level, your capital sizing rule and the timeframe you trade saves responders three rounds of back-and-forth.
Share your current numbers — the strike distance you choose, the premium you collect, your exit rule — and state whether the backtest was walk-forward or in-sample. This site's readers care about validation quality, and the fastest way to have them engage deeply is to be specific about your evidence. Vague questions get fair but generic answers; specific questions get answers you can act on.
Topics the community helps with
- Options mechanics: Greeks, IV rank, expiry dynamics, position sizing and rolling decisions.
- Machine learning for markets: frameworks, feature sets, walk-forward set-ups and common leakage mistakes.
- Backtesting: how to subtract realistic costs and slippage, and how to read drawdown honestly.
- Broker infrastructure: API choices, data vendors and automation workflows on Indian platforms.
- Educational reading paths: which articles or book chapters fit your current level best.
The boundary that never moves is the ethical one: no personalised buy-sell-hold advice, no guaranteed-return talk, no coaching of schemes that resemble portfolio-management services without registration. Keeping that boundary crisp is what lets the community stay free and openly educational for everyone who joins.
Why this channel exists
A single author cannot answer six thousand readers in writing alone, but a well-run community scales the same knowledge with contributors who grew up on the articles. Many of the site's best corrections started as a community member's "I think this figure is off" in a Telegram thread. The books, the articles and the group feed each other, and every correction improves all three in a loop that compounds over time.
If the community or email route feels daunting, that is also fine. Reading, backtesting and quietly verifying in a spreadsheet is a perfectly valid way to use the site. The channels exist for when you want them, not because you owe the author anything. Simply browsing, applying a lightbulb idea and returning weeks later is exactly the pattern the site was built for.
Email: shaktitiwari715@gmail.com · Educational content only — not investment advice.