Academy
Practical Education for Smarter Market Participation
Educational content covering derivatives, market structure, risk management and practical financial-market concepts.
Overview
The education arm
The Academy is where the research gets explained to people participating in the same markets. It covers how option contracts behave, how market structure can be defined rather than felt, how position sizing determines outcomes more reliably than forecasting does, and what a worked case actually shows.
It is held to the same standard as the research. When a study finds that a widely used signal does not do what people think it does, that is what gets taught — including when the finding is inconvenient.
This is educational content, not investment advice, and nothing here is a recommendation to buy or sell anything. The disclaimer sets out the distinction in full.
Educational topics
What is covered
Subject areas rather than a course catalogue.
Derivatives
Options & Derivatives Concepts
How option contracts actually behave: payoff structure, time decay, implied volatility, and what open interest does and does not tell you.
Market Structure
Market Structure & Price Action
Reading structure mechanically rather than by feel — swings, breaks, and the difference between a definition and an impression.
Risk
Risk Management & Positioning
Position sizing, exposure limits and the arithmetic of drawdown — the part of market participation that is not a forecasting problem.
Beginner · Market Basics
What Trading Actually Is
Trading means buying and selling an instrument to profit from price changes over a horizon measured in days or minutes, not the years a long-term investment thesis needs to play out. That short horizon is what separates it from investing, and the presence of some way to estimate the odds is what separates it from gambling. Every trade also requires a counterparty on the other side who currently disagrees with you — a fact that says nothing about who is right, only that the price reflects a live disagreement, not a consensus. Before any technique, strategy, or indicator matters, understanding that a trade is a bet against a specific, changing price — not against 'the market' in the abstract — prevents most of the expensive early mistakes.
Amateur · Market Basics
Why Most Trading Plans Fail on Contact With a Real Account
A backtest and a live account differ in ways that are easy to underestimate until they cost real money: fills happen at worse prices than the close-of-bar assumption most backtests use, commissions and taxes compound faster than expected, and every rule is suddenly optional the moment following it means realizing a loss. The gap between paper performance and live performance is a documented, structural phenomenon — a mix of overfitting to the historical sample and the psychological cost of real risk — not evidence of bad luck on any single account. Plans survive contact with a real account only when they are stress-tested against exactly these frictions before a single rupee is risked, and when the trader has decided in advance, in writing, what will make them exit a losing position rather than deciding it live.
Amateur · Equities
Why Stock-Picking Is Harder Than It Looks From the Outside
Across markets and decades, the majority of individual stock-pickers — professional and retail alike — underperform a low-cost index fund after fees and taxes are accounted for, a result reproduced often enough that it is closer to a base rate than a debatable claim. This is not a statement that picking individual stocks is impossible; clear, repeatable edges have existed and been documented. It is a statement about the bar a stock-picking strategy has to clear: it has to beat not just the index, but the index net of the extra costs, taxes, and time the picking itself consumes. Any strategy that cannot articulate, in advance, why it should beat that adjusted bar — rather than simply hoping to — is starting from a weaker position than it looks.
Beginner · Options
What an Option Contract Actually Gives You
An option gives its buyer the right, but never the obligation, to buy (a call) or sell (a put) an underlying asset at a fixed strike price on or before a fixed expiry date, in exchange for a premium paid upfront. That asymmetry — the buyer can walk away, the seller cannot — is the single fact that determines everything else about how options are priced, including why the seller is compensated with the premium for carrying an obligation the buyer doesn't have. Buying a call is not the same trade as buying the underlying stock: it is a time-limited, leveraged bet on both direction and on the asset moving enough, within a fixed window, to be worth more than the premium paid. Conflating the two is the most common and most expensive beginner error in options.
Beginner · Strategy
A Trading Strategy Is a Falsifiable Rule, Not a Feeling
A trading strategy only exists once its entry, exit, and position-sizing rules are specific enough that two different people, looking at the same chart, would place the same trade. Anything looser than that — 'buy when it looks strong,' 'sell when it feels toppy' — is a hunch wearing a strategy's name, and hunches cannot be tested, improved, or even meaningfully repeated. Writing the rule down precisely is not busywork before the real trading starts; it is the step that makes it possible to ask, honestly, whether the idea works at all, on data the idea was not built to fit.
Amateur · Strategy
In-Sample Performance Is Not Evidence
A strategy tuned on a particular stretch of historical data will almost always look good on that same stretch — that is a direct consequence of how fitting works, not a sign the strategy has found something real. The only meaningful test is performance on data the strategy has never seen, ideally data that didn't exist yet when the strategy was built, and even a clean out-of-sample result needs enough independent sessions before it can be told apart from noise. A result built on twenty or thirty trades, however striking, has not cleared that bar — it has been observed, not confirmed, and the two are routinely mistaken for each other.
Beginner · Execution
The Price You See Is Not the Price You Get
The price displayed on a screen is the last traded price or a mid-quote, not a guarantee of what the next order will actually fill at. Between the decision to trade and the fill, the market can move, the bid-ask spread has to be crossed, and — for a large enough order relative to available liquidity — the order itself can move the price against the trader placing it. This gap between the quoted price and the realized fill is called execution cost, and it is a real, measurable drag on performance, not a rounding error safe to ignore when judging whether a strategy actually works.
Amateur · Execution
Slippage Scales With Size, Not With Good Intentions
A strategy that looks clean at small size can lose most of its apparent edge the moment real position size interacts with real market liquidity — the same order that fills instantly and near the quoted price at one lot size can move the market meaningfully at ten times that size. Slippage is not a fixed cost that can be estimated once and forgotten; it scales with order size, with how thin the order book is at that moment, and with how urgently the order needs to be filled. Honestly estimating execution cost at the size a strategy would actually be traded at — rather than assuming the mid-price a backtest defaults to — is what separates a strategy that survives contact with a live account from one that only ever worked on paper.
Beginner · Statistics
A Win Rate Alone Tells You Almost Nothing
A strategy that wins 80% of the time can still be a net loser if the 20% of losses are large enough to outweigh all the small wins combined, and a strategy that wins only 30% of the time can be highly profitable if its wins are large relative to its losses. Win rate, in isolation, describes only how often a trade is profitable — it says nothing about the trade's expected value, which also requires knowing the typical size of a win and the typical size of a loss. Any strategy summarized by its win rate alone, with no mention of the payoff distribution behind it, has been described incompletely, whether or not that was the intention.
Amateur · Statistics
How Many Trades Before a Result Means Anything
Telling a genuine trading edge apart from ordinary noise requires more independent trades than most single-instrument retail strategies can generate in a realistic timeframe — often several years' worth of daily signals, depending on how large the edge actually is relative to its variance. This is a direct consequence of standard statistical power calculations, not a matter of opinion: a smaller apparent edge requires a larger sample to confirm at conventional significance, and most strategies people describe as 'working' report far fewer trades than that. A strategy that performed well over twenty or thirty trades has been sampled, not tested — the distinction matters because sampled results regress toward the mean far more often than intuition expects.
Articles
Worked from the research
Longer pieces that take a question from the research and explain what the data actually showed.
Risk Management & Positioning
A Volatility Filter That Tells You When to Stay Out
A simple trailing-volatility filter separated good and bad days for short NIFTY premium and passed a long list of robustness tests. It still failed to become a strategy — and the reasons are more useful than the headline result.
Read
Options & Derivatives Concepts
Why the Wings Cost More Than They Protect
An iron condor is a short strangle plus two long wings. On intraday NIFTY data, those wings cost more in decay and transaction costs than most sellers realise — but removing them trades a bounded loss for an unbounded one.
Read
Case studies
Worked examples
Real sessions, worked through in full — including the ones where the reading turned out to be wrong.
Market Analysis & Case Studies
Worked examples on real sessions, including the ones where the reading was wrong and why that matters more than the ones where it was right.