Quantitative Trading
For traders who want the layer underneath the charts. Understand how Indian markets are really built, the mathematics that describes price, and how to find an edge that survives - even the hard maths explained in plain words, with visuals, on live OpenAlgo data.
Quant Career Map & Indian Market Structure
What a quant really does, the firms and roles, and exactly how the Indian market is wired.
What a Quant Actually Does
The real job behind the word - how a quant turns a market question into a tested, sized, monitored decision, and how that differs from discretionary trading.
Quant Researcher vs Quant Trader vs Quant Developer
The three core quant roles, the skills each demands, and how research, trading and engineering hand work to each other on a real desk.
Buy-Side, Sell-Side, Prop and HFT Firms
The firm landscape a quant works in - banks, brokers, mutual funds, hedge funds, prop shops and HFT houses - and how their incentives shape the work.
The Map of Indian Markets
NSE and BSE, cash, F&O, currency and debt segments, the headline indices, and the segments a quant actually trades.
Market Participants and Who Moves Prices
Retail, HNI, FPI, DII, proprietary desks and market makers - who supplies and who demands liquidity, and how to read their footprints in the data.
SEBI, Exchanges, Clearing Corps and Depositories
The institutional plumbing - the regulator, the exchanges, the clearing corporations with their default waterfall, the depositories, and interoperability.
Clearing, Settlement, T+1 and Optional T+0
The life of a trade after the match - novation, netting, margins through the day, the T+1 cycle and India's optional T+0 settlement.
The True Cost of a Trade
STT, stamp duty, exchange and SEBI charges, GST and brokerage, plus spread, slippage and impact - the all-in cost model that quietly kills most edges.
Quant Math, Statistics & Research Foundations
Probability, statistics and linear algebra for trading - in plain words, with charts and real returns.
Returns, Log Returns and Stylized Facts
Simple vs log returns and the empirical truths of markets - fat tails, volatility clustering and the leverage effect, measured on real Indian data.
Probability for Traders
Random variables, expectation and variance, conditional probability and Bayes - the probability a trader actually uses, built from market examples.
Distributions, Fat Tails and Extreme Moves
Why the normal distribution understates risk - kurtosis, the Student-t, power laws and extreme-value thinking applied to Indian market crashes.
Statistical Inference and Hypothesis Testing
Sampling, estimation, confidence intervals and hypothesis tests - the honest machinery for asking whether an edge is really there.
Multiple Testing and False Discovery
Test 500 ideas and a fake winner is almost guaranteed - the multiple-comparisons problem, family-wise error, false discovery rate and the deflated Sharpe.
Stationarity, Random Walks and the EMH
Why prices wander unpredictably, how to test for it, and what the efficient-market idea gets right and wrong.
Linear Algebra, Covariance and PCA
Vectors, matrices and the covariance matrix that sits under every risk model - and how principal components reveal the few factors driving a whole universe.
Optimization, Constraints and Numerical Methods
How a quant actually solves for weights, parameters and fits - convexity, gradients, constraints and the numerical traps in between.
Indian Market Microstructure
How prices are really formed - the order book, the trading day, liquidity, impact and order flow.
Why Market Microstructure Matters
The gap between the price on a chart and the price you actually get - and why microstructure is where most retail edges quietly die.
Limit Order Book Fundamentals
Bids, asks and depth - the live queue where every Indian trade is matched, read straight from real depth data.
Order Types and the Order Lifecycle
Every order type on Indian exchanges and the full life of an order - entry, modification, cancellation, the audit trail and client-code controls.
Price-Time Priority and Queue Position
How the matching engine decides who fills first, why your place in the queue is worth money, and how queue position drives passive trading.
The Indian Trading Day Structure
From the pre-open to the post-close - every session of the NSE and BSE day, the timings and the special segments a quant must respect.
Pre-Open, Call Auction and Closing Auction
How call auctions discover one clean price from a book of orders - the pre-open mechanism and SEBI's new closing auction session.
Circuit Breakers, Price Bands and Trading Halts
Index halts, scrip price bands, ASM and GSM lists and the F&O ban - the rules that freeze the market and distort the signals you compute.
Bulk Deals, Block Deals and Special Windows
How large players move size without wrecking the price - the bulk-deal and block-deal windows, disclosure rules, and what the prints tell a quant.
Liquidity, Spread and Depth
What liquidity really means - quoted and effective spread, depth and resilience, and how to measure them in real NSE names.
Impact Cost, Slippage and Transaction Cost Analysis
Why your own order moves the price - modelling market impact, measuring slippage against benchmarks, and doing honest transaction cost analysis.
Open Interest, Volume and Order Flow
Reading pressure in the tape - volume, open interest, participant-wise positions and the order-flow signals that hint at informed activity.
Short Selling, SLB and Borrowing Mechanics
How shorting really works in India - intraday vs delivery shorts, the securities lending and borrowing market, and the cost and risk of being short.
HFT, Execution & Trading Technology
Algorithmic trading, the speed game, execution algorithms and the technology and rules that govern them.
Algorithmic Trading Foundations
What an algorithmic strategy actually is - the loop from data to signal to order to risk, and the architecture every automated system shares.
HFT vs Algo Trading vs Systematic Trading
Three words people confuse - the latency, holding period and infrastructure that separate true HFT from algorithmic and systematic trading.
DMA, Co-Location and Low-Latency Access
The microstructure of speed - direct market access, co-location at NSE, tick-by-tick feeds, timestamping and the latency arms race.
Market Data Feeds: Snapshot, Tick, L2 and L3
The data behind every algo - snapshot vs tick feeds, the L1, L2 and L3 levels of the book, broadcast vs unicast, and what each costs and reveals.
Order Book Reconstruction and Replay
Rebuilding the full limit order book from a feed of events, replaying a trading day deterministically, and using it to test execution.
HFT Strategy Families: Making, Arb and Event
What high-frequency desks actually run - passive market making, latency and statistical arbitrage, and event-driven reaction strategies.
Order-to-Trade Ratio, Cancellations and Quote Stuffing
The exchange's brakes on speed - the order-to-trade ratio, cancellation penalties, and the line between legitimate quoting and manipulative quote stuffing.
Smart Order Routing and Multi-Venue Execution
Splitting an order across NSE and BSE for the best fill - smart order routing, the consolidated book, and best execution across venues.
Execution Algorithms: VWAP, TWAP, POV and IS
How big orders are worked into the market without moving it - the scheduling algorithms and the implementation-shortfall framework behind them.
Market Making and Inventory Risk
The other side of every trade - quoting both sides, earning the spread, and the inventory and adverse-selection risk that can wipe it out.
The Retail API Algo Framework in India
SEBI's framework for safer retail algo trading - API keys, static IP, unique algo IDs, white-box vs black-box classification and the broker and exchange responsibilities.
Kill Switches, Risk Controls and Algo Surveillance
The safety layer every automated trader needs - pre-trade risk checks, position and loss limits, the kill switch and the surveillance that watches for runaways.
Time Series, Econometrics & Forecasting
Modelling how today's market depends on yesterday's - mean reversion, volatility, regimes and decay.
AR, MA and ARIMA Models
The classic models for series that remember their past - and an honest look at what is and is not forecastable in returns.
Volatility Modeling: EWMA, ARCH and GARCH
Volatility has a memory - calm follows calm, storms cluster. EWMA, ARCH and GARCH make that precise on Indian index data.
Realized and Intraday Volatility
Measuring volatility from high-frequency data - realized variance, the intraday volatility smile of the trading day, and overnight vs intraday risk.
Mean Reversion and Ornstein-Uhlenbeck
The mathematics of a price on a leash - the Ornstein-Uhlenbeck process, the half-life of reversion, and how to test whether a series truly reverts.
Cointegration and Pairs Trading
Two wandering prices tied by a long-run relationship - cointegration, the Engle-Granger test, the spread and z-score, and a full Indian pairs trade.
Regime Detection and Structural Breaks
Markets switch between calm bulls, grinding bears and violent shocks - detecting the regime you are in and the breaks that end a strategy.
Forecast Evaluation and Model Decay
How to judge a forecast honestly and catch a model rotting in real time - error metrics, out-of-sample discipline and decay monitoring.
Capacity, Turnover and Signal Half-Life
How much money a strategy can hold and how fast its edge fades - capacity from impact, turnover and cost, and the half-life of a signal.
Derivatives, Volatility & Arbitrage
The derivatives machine in India - futures and basis, options pricing and Greeks, the vol surface, and the arbitrage that ties it together.
Futures, Forwards and Cost of Carry
The most powerful idea in pricing - no free money - and how cost of carry sets the fair price of a future against its underlying.
Cash-Futures Basis and Index Arbitrage
The arbitrage that runs on every Indian desk - the cash-futures basis, when it is rich or cheap, and how index arbitrage keeps the future honest.
Options Pricing: Black-Scholes vs Black-76
Why Indian F&O is priced with Black-76 off the synthetic future, not Black-Scholes off spot - the models, their assumptions and where they break.
The Greeks: Delta, Gamma, Vega, Theta and Rho
How an option breathes - the Greeks that measure its sensitivity to price, volatility and time, computed live on real Nifty options.
The Volatility Surface, Skew and Term Structure
Implied volatility is not one number - the smile and skew across strikes and the term structure across expiries, read off real option chains.
India VIX and the Volatility Risk Premium
The market's fear gauge and the premium for selling insurance - how India VIX is built, what it predicts, and the volatility risk premium.
Gamma Scalping and Volatility Trading
Volatility as an asset you can trade - delta-hedged straddles, gamma scalping, variance and the Indian expiry-day effects that drive it.
Equity Derivatives Microstructure in India
How index and single-stock F&O actually trade - liquidity across strikes and expiries, weekly vs monthly, and the microstructure quirks of Indian options.
Currency and Interest-Rate Derivatives
Beyond equities - USD-INR and cross-currency futures and options, interest-rate futures, and how a quant uses them for macro and hedging.
Margins, Collateral, Position Limits and Settlement
The capital machinery of derivatives - SPAN and exposure margin, collateral and haircuts, position limits, and physical settlement of stock F&O.
Alpha Research & Strategy Families
The research process and the major systematic strategy families, built and tested on Indian data.
The Alpha Research Process
Turning a hunch into a tested edge - hypothesis, data, test and validation: the scientific method for trading, with a reusable checklist.
Cross-Sectional Momentum
The workhorse of systematic equity - rank the universe by past return, go long the winners and short the losers, and account for the Indian frictions.
Value, Quality, Size and Low-Vol Factors
The handful of forces that drive most equity returns - value, quality, size and low-volatility, built and combined for the Indian market.
Statistical Arbitrage and Market-Neutral Books
Market-neutral trading of relationships - pairs and baskets, the cash-futures arb, and building a book with little net market exposure.
Event-Driven Strategies
Trading the calendar - earnings drift, index reconstitution, corporate actions and the predictable flows around scheduled events.
Flow-Based Strategies: FII/DII, OI and Expiry
Trading the footprints of big money - FII and DII flows, open-interest shifts, the F&O ban list and the powerful Indian expiry-day effects.
Intraday Mean Reversion and Breakout Models
The two intraday archetypes - fading stretched moves and riding confirmed breakouts - built with real intraday data and honest costs.
Alternative Data and NLP for Indian Markets
Edges beyond price - news, announcements, filings and sentiment, and the natural-language tools that turn text into a tradeable signal.
Backtesting, ML & Portfolio Construction
Testing honestly, using machine learning safely, and turning many signals into one risk-managed book.
Backtesting Without Fooling Yourself
The traps that turn a losing system into a beautiful backtest, and the discipline that keeps a test honest.
Look-Ahead, Survivorship and Corporate-Action Bias
The three biases that silently inflate every naive backtest - using the future, ignoring the dead, and mishandling splits and bonuses.
Walk-Forward, Purged CV and Deflated Sharpe
Validation that respects time - walk-forward testing, purged and embargoed cross-validation, and deflating the Sharpe for all the trials you ran.
Machine Learning in Quant: Promise and Peril
Where machine learning genuinely helps a quant, where it quietly leaks the future, and how to use it without fooling yourself.
Feature Engineering, Labeling and Leakage
The part of ML that decides everything - building point-in-time features, labeling with the triple barrier, and stamping out leakage.
Portfolio Construction, Risk Models, VaR and Stress
From many signals to one book - mean-variance and its fixes, position sizing and Kelly, risk models, and VaR, CVaR and stress testing for the tail.
Production, Compliance & Career
Taking research live - infrastructure, the production pipeline, monitoring, compliance, and the capstone project.
Data and Research Infrastructure
The unglamorous backbone - tick vs bar storage, point-in-time datasets, time-series databases and a reproducible research environment.
The Research-to-Production Pipeline
Closing the gap between a notebook and a live bot - shared code paths, configuration, parity testing and a disciplined deployment process.
Live Trading System Design
The architecture of a running trading system - the OMS and PMS, the order and position lifecycle, state management and resilience under failure.
Monitoring, Reconciliation and Incident Handling
Keeping a live book honest and alive - real-time monitoring, end-of-day reconciliation, logging, alerting and a calm incident response.
SEBI Algo Compliance and Ethics
Trading inside the rules - the SEBI algo framework, system audit and governance duties, market-conduct rules, and the ethics of automated trading.
Capstone: A Full Indian Quant Research Project
Everything together - a real edge taken from hypothesis through microstructure-aware data, model, portfolio, risk, an honest backtest and a path to production.
For education only - not investment advice. Practise in analyze mode. 78 chapters, built on the OpenAlgo SDK.