Search Articles

Type to search across all articles.

Popular topics to explore

The library covers six categories. Start with the areas that match your experience level:

• Options Trading — Greeks, IV rank, PCR, spreads, expiration mechanics and real examples on Nifty and Bank Nifty.
• Crypto and Bitcoin — halving cycles, on-chain signals, staking, Indian tax rules and risk frameworks.
• ML and AI for Trading — XGBoost, LightGBM, feature engineering, walk-forward validation and backtesting.
• India and Regulation — SEBI 2026 algo rules, broker comparisons, KYC and margin norms.
• Hindi Guides — basics of options, crypto and SEBI rules explained in Hindi.

How to get the most out of this library

Beginners should read in this order: options basics, then Greeks, then position sizing, then a single strategy (such as covered calls or defined-risk spreads) before touching AI. Intermediate traders benefit most from the walk-forward validation and feature engineering articles. Advanced users can move straight to the reproducible Python notebooks on GitHub via the author's profile.

Every article states its assumptions, data period and limitations. When a backtest result is shown, look for the walk-forward section — if it is missing, treat the number with suspicion. That commitment to honest reporting is what separates this library from most retail-finance content.

Need a recommendation?

If you are not sure which article to read, join the free Telegram community at t.me/shaktitrade and ask. Shakti answers daily, and the community is welcoming to beginners. Alternatively, email shakti@optiontradingwithai.in with your experience level and the topic you want to study next. All recommendations are educational — no calls, no promises, just a clear reading path.

Search tips

Use short, specific words: "theta", "IV rank", "walk forward", "grid trading", "crypto tax", "Hindi". The search box matches both titles and categories in real time, making it fast to hop from one related topic to another.

Searching the library effectively

This page searches a curated index of the site's most popular articles. If your topic does not appear in the live suggestions, the fastest approach is to use the category links above, each of which opens the full listing for that section of articles.

Because the site organises content around methods rather than tickers, searching for a concept usually works better than searching for a stock name. Searching "credit spread" returns the strategy articles, while searching "HDFC" would return nothing useful because the site deliberately avoids single-stock tip content.

For machine-learning topics, the index includes the most-read guides: XGBoost and LightGBM comparisons, feature engineering for option chains, walk-forward validation, and honest backtesting methodology. Those articles form the spine of the site's quantitative section.

What the search index covers

• Options strategy basics and advanced spread construction for Nifty and Bank Nifty.
• Greeks, implied-volatility rank and percentile, PCR and open-interest interpretation.
• XGBoost, LightGBM, feature engineering, quantisation and on-device inference.
• Crypto fundamentals, halving cycles, staking, on-chain analytics and Indian taxation.
• Indian market structure, SEBI regulatory updates, broker comparisons and KYC.
• Hindi-language educational guides for first-time learners.

The visible list above is a manually curated snapshot of ten flagship articles used for the quick-search demo. The full catalogue exceeds seven hundred articles, so whenever the quick index points you to a category, browse that category page for the complete set.

A suggested learning path

If you are brand new to options, begin with the fundamentals: what a call and a put are, how expiry works, and how premium is composed of intrinsic value and time value. Move next to the Greeks — delta, theta, vega and gamma — because every strategy decision downstream returns to them.

Once the mechanics feel comfortable, study position sizing by premium risk: deciding how many contracts to buy or sell based on the rupees you are prepared to lose, rather than the notional exposure. This single habit prevents most beginner blowups.

With sizing in place, learn one defined-risk structure thoroughly — the credit spread or the iron condor — before exploring machine-learning systems. AI adds an edge on top of solid options mechanics; it does not replace them, and no model can make a beginner's position sizing decision for them.

When you cannot find what you need

Not every concept has its own article yet, and the site intentionally keeps the catalogue honest rather than padded. If the topic you need is missing, ask in the Telegram community — questions are answered daily and missing topics are routinely added to the publishing queue.

For urgent verification of market facts such as lot sizes, margin requirements or regulatory circulars, the site's articles link to the primary NSE and SEBI sources, and you should confirm against those before acting. The editorial rule is that the primary source is always one click away from any claim.

Finally, if you are searching for personalised advice, that is outside this library's scope by design. The site is educational; for personal recommendations, consult a qualified SEBI-registered adviser.

Interpreting what the results mean

A good result is one that sends you to an article which names its assumptions, shows its data window and discloses its costs. When the search index returns a machine-learning guide, expect sections on feature leakage, walk-forward validation and drawdown, because those are the sections that separate honest research from marketing.

If you search a strategy name and the first result is a comparison article rather than a standalone guide, that comparison page is usually the better starting point: it explains why traders choose one structure over another, which is precisely the context newcomers need before diving into a single method.

Treat the count of results as a signal too. A topic with many articles, such as XGBoost or credit spreads, is the site's deep coverage; a topic with only one result is a starter guide that links onward to related reading. Either way, the reading path matters more than the raw number of hits.

Common searches explained

• "IV rank" — implied volatility as a percentile of its own history; the site explains why rank beats absolute IV for timing premium trades.
• "walk forward" — the validation method that re-trains a model on data it has never seen; the backbone of every honest backtest here.
• "theta" — time decay and how expiration shape accelerates it; the reasoning behind most selling strategies.
• "iron condor" — a defined-risk, non-directional structure; the site compares it with iron flies and butterflies under different regimes.
• "SEBI algo" — the regulator's framework for algorithmic and algorithmic-assisted trading as it stood at the latest circular.
• "crypto tax" — India's virtual digital asset tax rules, computation, and the interplay with F&O losses.

Each of these terms anchors a cluster of related articles, so searching them once usually opens a path you can follow for several sessions. Bookmark the ones you return to; the library is updated frequently and the links stay stable.

New visitors often over-search and under-read: a single well-structured guide with worked numbers teaches more than ten shallow thumbnails. Resist the urge to skim. The strongest habit to build here is reading one high-coverage article fully, reproducing its worked example in your own spreadsheet, and only then moving to the next cluster of related reading.

How this library stays current

Market rules and model tools evolve, so the site revises its most time-sensitive articles whenever an exchange announcement or regulatory circular lands. That means the number beside a topic — lot size, SEBI deadline, margin percentage — is a snapshot with a date, not a permanent figure. Favourites are re-checked on a schedule, and the revision date sits beside the figure it refers to.

When the site republishes an article with changed numbers, it marks the date of the change and links the primary circular. If you find a discrepancy against the exchange website, report it through the Connect page; corrections are logged visibly so the record stays auditable and the community sees the revision history.

FAQ: common questions about this page

• Do I need an account to search? No — searching is open to every visitor, and results are the same for everyone.
• Is this a site search or a Google search? This index covers this library only, which returns the relevant article instead of competing with external results.
• Can I search in Hindi? Yes — Hindi guides are indexed here just like the English guides, and romanised terms like "nifty option chain" also match.
• The search returns nothing. Try a broader keyword, or ask in the Telegram community; helpful answers are usually posted the same day.